Review
The role of MicroRNAs as early biomarkers of asbestos-related lung cancer: A systematic review and meta-analysis
D. Mukhopadhyaya, P. Coccob, S. Orrùc,d, R. Cherchie, S. De Matteisf,g,
Corresponding author
sara.dematteis@unimi.it
Corresponding author at: Department of Health Sciences, University of Milan, Milan, Italy, NHLI, Imperial College London, United Kingdom.
Corresponding author at: Department of Health Sciences, University of Milan, Milan, Italy, NHLI, Imperial College London, United Kingdom.
a Molecular and Translational Medicine, Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Cagliari, Italy
b Centre for Occupational and Environmental Health, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Oxford Road, Manchester, United Kingdom
c Operative Unit of Medical Genetics, Health Agency of Sardinia, Hospital Binaghi, Cagliari, Italy
d Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Cagliari, Italy
e Operative Unit of Thoracic Surgery, Hospital G. Brotzu, Cagliari, Italy
f Department of Health Sciences, University of Milan, Milan, Italy
g NHLI, Imperial College London, United Knigdom
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"apellidos" => "De Matteis" "email" => array:1 [ 0 => "sara.dematteis@unimi.it" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0006" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">g</span>" "identificador" => "aff0007" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0001" ] ] ] ] "afiliaciones" => array:7 [ 0 => array:3 [ "entidad" => "Molecular and Translational Medicine, Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Cagliari, Italy" "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:3 [ "entidad" => "Centre for Occupational and Environmental Health, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Oxford Road, Manchester, United Kingdom" "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:3 [ "entidad" => "Operative Unit of Medical Genetics, Health Agency of Sardinia, Hospital Binaghi, Cagliari, Italy" "etiqueta" => "c" "identificador" => "aff0003" ] 3 => array:3 [ "entidad" => "Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Cagliari, Italy" "etiqueta" => "d" "identificador" => "aff0004" ] 4 => array:3 [ "entidad" => "Operative Unit of Thoracic Surgery, Hospital G. Brotzu, Cagliari, Italy" "etiqueta" => "e" "identificador" => "aff0005" ] 5 => array:3 [ "entidad" => "Department of Health Sciences, University of Milan, Milan, Italy" "etiqueta" => "f" "identificador" => "aff0006" ] 6 => array:3 [ "entidad" => "NHLI, Imperial College London, United Knigdom" "etiqueta" => "g" "identificador" => "aff0007" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0001" "etiqueta" => "⁎" "correspondencia" => "Corresponding author at: Department of Health Sciences, University of Milan, Milan, Italy, NHLI, Imperial College London, United Kingdom." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0002" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2131 "Ancho" => 3000 "Tamanyo" => 281466 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0002" "detalle" => "Fig " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Meta-analysis of selected studies evaluating the diagnostic accuracy expressed as Area Under the Curve (AUC) and 95 % Confidence Intervals (CIs) of specific miRNAs for MPM among men only.</p> <p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Footnote: AUC: Area Under the Curve; s.e.: standard error.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0008">Introduction</span><p id="para0006" class="elsevierStylePara elsevierViewall">Globally, it has been estimated that asbestos is still the leading cause of morbidity, disability, and mortality for occupational cancer accounting for 4120 (3060–5240) thousand DALYs (Disability-Adjusted Life Years) and 236 (176–296) thousand deaths. In relation to the specific cancer type, lung cancer (LC) is the most frequent, with 199 (140–257) thousand deaths, and malignant pleural mesothelioma (MPM) is the rarest, with 26.8 (24.3–28.6) thousand deaths, but it is virtually only caused by asbestos.<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> The International Agency for Research on Cancer (IARC) has classified asbestos as a known human carcinogen not only for LC and MPM, but also for all mesothelioma types, larynx, and ovarian cancer, and, with weaker evidence, for throat, stomach, and colorectum malignancies.<a class="elsevierStyleCrossRef" href="#bib0002"><span class="elsevierStyleSup">2</span></a> Moreover, chronic degenerative pleural and interstitial lung diseases, such as asbestosis are caused by asbestos exposure,<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> so increasing the associated global morbidity and mortality burden.<a class="elsevierStyleCrossRef" href="#bib0004"><span class="elsevierStyleSup">4</span></a> Of note, asbestos exposure is not only occupational, but it may occur in the home, and in surroundings of contaminated worksites with potential exposure of the most vulnerable, such as children and pregnant women.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> Regrettably, only 69 of the world's 195 countries have banned asbestos.<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> The World Health Organization (WHO) estimated that 125 million people worldwide are still exposed to asbestos, and considering the long cancer latency (up to 60 years for MPM) the expected associated cancer burden won't decrease in the near future.<a class="elsevierStyleCrossRef" href="#bib0008"><span class="elsevierStyleSup">8</span></a> Despite important advances in cancer therapy, both LC and MPM have poor prognosis, especially if diagnosed at a late stage. In addition, there is no agreed standard treatment for MPM whose median survival is less than one year from diagnosis.<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> Cancer screening programs among ex-exposed to asbestos using low-dose chest CT-scans have been proposed,<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> but so far none has started yet due to uncertain cost-benefits and challenges in risk stratification to identify which subgroup of subjects would benefit the most. Therefore, non-invasive biomarkers for risk stratification, and earlier cancer detection are urgently needed to improve overall survival and quality of life, as was recently recommended by the European MPM guidelines.<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> MicroRNAs (miRNAs) are short, endogenous, non-coding ribonucleic acids that have been suggested as potential candidates. MiRNAs regulate key processes in cells and signaling pathways involved in lung tumorigenesis, such as cell proliferation, differentiation, angiogenesis, apoptosis, invasion, and metastasis by regulating gene expression at the post-transcriptional level,<a class="elsevierStyleCrossRef" href="#bib0012"><span class="elsevierStyleSup">12</span></a> and are potential molecular targets for cancer therapies. Also, the availability of miRNAs in several accessible biological fluids and exhaled breath condensate (EBC) make them ideal candidates for liquid biopsies. Changes in miRNAs expression have been associated with diagnosis and prognosis of several chronic diseases and cancers,<a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a> but the evidence for asbestos-related LC and MPM is still scarce and inconsistent. Therefore, the aim of our systematic literature review is to evaluate the role of miRNAs as diagnostic and prognostic biomarkers of asbestos-related LC and MPM.</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Methods</span><p id="para0007" class="elsevierStylePara elsevierViewall">We performed the systematic review according to the Cochrane Handbook for Systematic Reviews<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a> and the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a> MeSH and free text terms for ‘asbestos’, ‘occupational exposure’, ‘lung cancer’, ‘mesothelioma’ and ‘miRNAs’ were used to search the literature in electronic databases: Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE) via Ovid platform, PubMed, and Cochrane Library (search period: January 1990 to April 2023) (see detailed search strategy in <span class="elsevierStyleBold"><span class="elsevierStyleItalic">supplementary Table 1s</span></span>). A grey literature search was conducted using the Google search engine platform to identify relevant studies not captured through database searches. Our systematic review protocol is registered in the PROSPERO database (registration Number: CRD42023414412 accessible at crd.york.ac.uk/prospero/display_record.php?ID=CRD42023414412). The studies retrieved from our electronic search were reviewed following the Population (P), Interventions (I), Comparators (C), Outcomes (O), Study Design (S), and Time Frame (T) model and screened for suitability according to our inclusion criteria (see PICOS-T criteria in <span class="elsevierStyleBold"><span class="elsevierStyleItalic">supplementary Table 2s</span></span>) by two reviewers independently (DM and SDM). A third reviewer was available in case of any disagreement (PC). Relevant data from each included study were extracted into an <span class="elsevierStyleItalic">ad hoc</span> Microsoft Excel (Microsoft Corp., Redmond, WA) table. Each study was appraised for quality using the Newcastle-Ottawa Scale (NOS) for observational studies.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a> Studies of very poor quality were not included. For the miRNAs reported at least by two similar studies in association with diagnosis and/or prognosis of asbestos-related LC and/or MPM, a meta-analysis was performed to estimate a pooled quantitative diagnostic and/or prognostic accuracy using the AUC (Area Under the Curve) and its 95 % Confidence Intervals (CIs). We extracted the AUCs and their standard errors (s.e.) from the studies. We displayed graphically in a forest plot the pooled AUCs and their asymptotic intervals (AUC +/- 1.96*s.e.) on a non-transformed scale. Random effect methods<a class="elsevierStyleCrossRef" href="#bib0016"><span class="elsevierStyleSup">16</span></a> were applied in case of high heterogeneity (I<span class="elsevierStyleSup">2</span>>50 %). A potential small study effect bias was evaluated using Egger test and visualised using a funnel plot. The STATA v.17 (Stata Corp LP, College Station, TX) software was used for all analyses.</p></span><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">Results</span><p id="para0008" class="elsevierStylePara elsevierViewall">The literature search retrieved a total of 331 citations. After duplicate removal and application of our selection criteria, 28 articles were included in the review. The quality of the included studies was scored between fair (<span class="elsevierStyleItalic">n</span> = 14), and high (<span class="elsevierStyleItalic">n</span> = 13); only one study<a class="elsevierStyleCrossRef" href="#bib0017"><span class="elsevierStyleSup">17</span></a> was removed due to poor quality (see the New-Castle Ottawa quality of studies assessment scale in <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>). Among the 27 studies included in the final review, only seven were selected as suitable for the meta-analysis (see PRISMA flow chart<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a> in <a class="elsevierStyleCrossRef" href="#fig0001">Fig. 1</a>). The characteristics of the 27 included studies are summarized in <a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a>. Most studies were conducted in Europe, specifically in Italy (<span class="elsevierStyleItalic">n</span> = 13).<a class="elsevierStyleCrossRefs" href="#bib0018"><span class="elsevierStyleSup">18-30</span></a> Regarding the study design, all studies were hospital-based case-controls, but one study<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> was a hospital-based retrospective cohort study. Most studies (<span class="elsevierStyleItalic">n</span> = 18) had low sample size. MiRNAs expression was evaluated mostly in blood serum or plasma<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0026"><span class="elsevierStyleSup">26-30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0032"><span class="elsevierStyleSup">32-37</span></a> and serum or plasma extracellular vesicles (EV).<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> Some studies evaluated miRNA expression directly in the lung tumour tissue,<a class="elsevierStyleCrossRefs" href="#bib0023"><span class="elsevierStyleSup">23-25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">40-42</span></a> and one in the EBC.<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> The most frequently evaluated disease outcome was MPM, followed by non-small cell lung cancer (NSCLC)<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> and lung adenocarcinoma.<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">33</span></a> In most studies (<span class="elsevierStyleItalic">n</span> = 15), asbestos-exposed cancer-free hospital patients were used as controls. All but two studies<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> were only among men. The age range was 52 – 73 years for MPM cases, 61 – 69 for LC cases, 58 – 74 years for non-asbestos-exposed controls and 55 – 76 for asbestos-exposed controls. Ten studies<a class="elsevierStyleCrossRefs" href="#bib0018"><span class="elsevierStyleSup">18-20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">33</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> reported the asbestos exposure assessment method, either via personal interview or self-administered questionnaire and six studies<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0043"><span class="elsevierStyleSup">43</span></a> calculated the asbestos exposure duration in years. The most frequent type of asbestos exposure was occupational. The majority of studies reported smoking status and some studies<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0022"><span class="elsevierStyleSup">22-25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0032"><span class="elsevierStyleSup">32-40</span></a> managed to include never smokers only; however seven studies<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0044"><span class="elsevierStyleSup">44</span></a> did not report the smoking status. All included studies reported miRNAs diagnostic accuracy, and two studies reported the prognostic accuracy<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> (<a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a>). The miRNAs most frequently reported in association with MPM diagnosis were miR-126,<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> miR-103a-3p,<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0036"><span class="elsevierStyleSup">36-38</span></a> and miR-132–3p.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> Of note, miR-126 was confirmed alone,<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> and combined with miR-222 <a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> also for LC diagnosis. Other miRNAs resulted associated with LC, but only by single studies, were miR-1254 and miR-574–5p,<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> and let-7f-5p, miR-518f-3p, miR-597–5p, miR-1260a.<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> In relation to types of miRNAs perturbations, several miRNAs associated with MPM diagnosis resulted up-regulated,<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0032"><span class="elsevierStyleSup">32-34</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a> others down-regulated.<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0023"><span class="elsevierStyleSup">23-25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">35-37</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> For LC, all miRNAs resulted up-regulated,<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> but let-7f-5p.<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> Most studies (<span class="elsevierStyleItalic">n</span> = 16) <a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">20-24</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0031"><span class="elsevierStyleSup">31-33</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">40-44</span></a> estimated miRNA expression difference between cases and controls as fold change (FC) using different cut-off thresholds. Some studies managed to adjust tests’ p-values for multiple testing for MPM diagnosis <a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0044"><span class="elsevierStyleSup">44</span></a> and LC diagnosis.<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> Eight studies.<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">32</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">35-37</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0043"><span class="elsevierStyleSup">43</span></a> matched cases and controls by potential confounders (e.g. age, sex, smoking status, or asbestos exposure) while nine studies <a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">20-24</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> controlled for them in the statistical analysis. Ten studies <a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0032"><span class="elsevierStyleSup">32-34</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a> reported also cancer stages and the most frequent was stage I. Twenty-two studies <a class="elsevierStyleCrossRefs" href="#bib0019"><span class="elsevierStyleSup">19-25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0033"><span class="elsevierStyleSup">33-38</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">40-44</span></a> reported the histological subtypes; the most frequent type for asbestos-related LC was adenocarcinoma and for MPM was epithelioid. In relation to diagnostic accuracy (<a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a>), the miRNAs with the highest values for MPM were: miR-103a-3p <a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a> with 86 % sensitivity, 63 % specificity and AUC of 0.76; miR-126 <a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> with 80 % sensitivity, 60 % specificity and AUC of 0.75(0.62–0.89) and miR-132–3p <a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a> with 86 % sensitivity, 61 % specificity and AUC of 0.91(0.8–1.0). In relation to MPM prognosis, miR-197‑3p <a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> was associated with an increased survival for epithelioid type of 13.5 (±0.6) months, for sarcomatoid of 7.9 (±0.7) months, and for biphasic of 12.4 (±0.6) months. Also, six miRNAs combined (miR-21–5p, miR-23a-3p, miR-30e-5p, miR-221–3p, miR-222–3p, miR-31–5p) <a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> resulted associated to 57.2 (45.83–90.48) months to 6.4 (1.94–8.28) months increased survival. In relation to asbestos-related LC diagnosis, miR-126 was confirmed associated also to LC diagnosis, alone,<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> and in combination with miR-222.<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> Also, miR-1254 and miR-574–5p<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> were found associated with early-stage NSCLC even months before clinical diagnosis. No miRNAs were reported in association to survival for asbestos-related LC.</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><elsevierMultimedia ident="fig0001"></elsevierMultimedia><elsevierMultimedia ident="tbl0002"></elsevierMultimedia><elsevierMultimedia ident="tbl0003"></elsevierMultimedia><elsevierMultimedia ident="tbl0004"></elsevierMultimedia><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Meta-analysis</span><p id="para0009" class="elsevierStylePara elsevierViewall">We managed to perform a meta-analysis for miRNAs diagnostic accuracy by pooling the AUC reported by seven similar studies that found the same miRNAs associated to MPM diagnosis among men only.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">35-37</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> One study,<a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> contributed twice to the meta-analysis for two different mi-RNAs. Random effect methods were used given the high heterogeneity detected (>50 %). We estimated for miR-126, miR-132–3p, and miR-103a-3p pooled diagnostic AUCs of 85 %, 73 %, and 50 %, respectively. The overall pooled accuracy resulted 73 % (<a class="elsevierStyleCrossRef" href="#fig0002">Fig. 2</a>). No small study effect bias was shown in the funnel plot (see supplementary file Fig. 1s) as confirmed by the Egger test (p-value= 0.450).</p><elsevierMultimedia ident="fig0002"></elsevierMultimedia></span></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Discussion</span><p id="para0010" class="elsevierStylePara elsevierViewall">In our systematic review and meta-analysis to evaluate the role of miRNAs as potential diagnostic and/or prognostic biomarkers of asbestos-related LC and MPM, we found that several miRNAs are promising candidates especially for MPM diagnosis. In particular, we managed to estimate for the three top miRNAs (miR-126, miR-132–3p, and miR-103a-3p) associated to MPM diagnosis a pooled accuracy of 73 % with the highest performance of 85 % for miR-126. In relation to MPM survival, miR-197‑3p<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> and six combined miRNAs (miR-21–5p, miR-23a-3p, miR-30e-5p, miR-221–3p, miR-222–3p, miR-31–5p)<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> appeared associated to a better prognosis. In relation to asbestos-related LC, only single miRNAs were associated with diagnosis and/or survival, so we were unable to perform a meta-analysis among the most frequently reported. Of note, miR-126, was confirmed also for LC diagnosis, alone,<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> and in association with miR-222.<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> Also, miR-1254 and miR-574–5p<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> were found associated with early-stage NSCLC samples even months before clinical diagnosis, so potentially useful for LC screening programs. We did not find any promising miRNAs in relation to asbestos-related LC survival.</p><p id="para0011" class="elsevierStylePara elsevierViewall">The strength of our systematic review is the comprehensive search strategy including also the so-called grey literature, as also confirmed by the absence of publication bias in the Egger test for the studies included in the meta-analysis. Also, we used a standard tool to assess study quality. Further, we evaluated both diagnosis and prognosis for both asbestos-related LC and MPM. Finally, we managed to quantify the diagnostic performance of the top miRNAs associated with MPM using a meta-analytic approach, so quantifying their potential role as cancer biomarkers.</p><p id="para0012" class="elsevierStylePara elsevierViewall">We acknowledge several limitations. Almost all studies were case-controls, so subject to reverse causation bias. Almost all studies included men only, and had small sample size, so preventing generalizability of the findings to women. Also, asbestos exposure was usually self-reported and without information on type and duration of exposure, so vulnerable to exposure misclassification; there is even no evidence this was a differential between cases and hospital controls. The studies were also heterogeneous in methodology, and this allowed us to perform a meta-analysis only on a small selected sub-sample of more comparable studies. In addition, given that we pooled AUCs estimated also from multivariable models or studies matched by design, we cannot rule out a certain degree of overestimation.</p><p id="para0013" class="elsevierStylePara elsevierViewall">Several knowledge gaps on this topic remain to be addressed: the accuracy of miRNAs to predict asbestos-related LC and MPM in prospective longitudinal studies of healthy ex-asbestos-exposed subjects, especially among women; the exposure-response relationship between asbestos and miRNA changes; the underlying biological mechanisms, and the influence of internal (e.g. age, sex, genes) and external (e.g. smoking, co-exposure to other occupational agents, therapies) factors on miRNA expression perturbations. Future research addressing these shortcomings in large prospective studies is warranted to shed some light on these issues.</p></span><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Conclusion</span><p id="para0014" class="elsevierStylePara elsevierViewall">To conclude, in this comprehensive systematic review and meta-analysis we identified some promising miRNA candidates to predict diagnosis and survival of asbestos-related LC and MPM. Future large longitudinal standardized validation studies are needed to confirm these findings, assess their clinical relevance, and address present knowledge gaps. The current poor survival and quality of life for patients affected by asbestos-related lung cancers, especially MPM, urge the identification of accurate and reliable, non-invasive, early diagnostic biomarkers to be included in cancer screening protocols among ex asbestos-exposed subjects, as well as to provide molecular targets for new therapies. However, the best prevention remains to ban asbestos globally to avoid the associated important death toll for the long-term future.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:9 [ 0 => array:3 [ "identificador" => "xres2096379" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abss0001" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abss0002" "titulo" => "Aim" ] 2 => array:2 [ "identificador" => "abss0003" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abss0004" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abss0005" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1786528" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0001" "titulo" => "Introduction" ] 3 => array:2 [ "identificador" => "sec0002" "titulo" => "Methods" ] 4 => array:3 [ "identificador" => "sec0003" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0004" "titulo" => "Meta-analysis" ] ] ] 5 => array:2 [ "identificador" => "sec0005" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0006" "titulo" => "Conclusion" ] 7 => array:2 [ "identificador" => "xack730331" "titulo" => "Funding" ] 8 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2023-11-18" "fechaAceptado" => "2024-02-03" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1786528" "palabras" => array:6 [ 0 => "miRNA" 1 => "Asbestos" 2 => "Lung cancer" 3 => "Mesothelioma" 4 => "Occupational health" 5 => "Biomarkers" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Background</span><p id="spara011" class="elsevierStyleSimplePara elsevierViewall">Asbestos is still the leading cause of occupational cancer mortality worldwide. Asbestos-related lung cancer (LC) and malignant pleural mesothelioma (MPM) prognosis is still poor especially at advanced stage, so early diagnosis biomarkers are needed. MicroRNAs (miRNAs) have been proposed as potential early diagnostic biomarkers of asbestos-related LC and MPM.</p></span> <span id="abss0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Aim</span><p id="spara012" class="elsevierStyleSimplePara elsevierViewall">To evaluate the role of miRNAs as diagnostic and prognostic biomarkers of asbestos-related LC and MPM by performing a literature systematic review and meta-analysis.</p></span> <span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Methods</span><p id="spara013" class="elsevierStyleSimplePara elsevierViewall">MEDLINE, EMBASE via Ovid, PUBMED and Cochrane library databases were systematically searched up to April 2023 to identify relevant articles. A grey literature search was also conducted using the Google Scholar platform. MeSH and free text terms for ‘asbestos’, ‘occupational exposure’, ‘lung cancer’, ‘mesothelioma’ and ‘miRNAs’ were used to search the literature. Our systematic review protocol was registered in the PROSPERO database. Study quality was assessed via the Newcastle-Ottawa Scale.</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Results</span><p id="spara014" class="elsevierStyleSimplePara elsevierViewall">From the search, 331 articles were retrieved, and, after applying our selection criteria, and exclusion of one study for poor quality, 27 studies were included in the review. Most of the studies were hospital-based case-control, conducted in Europe, and evaluated MPM among men only. MiRNAs expression was measured mainly in plasma or serum. MiR-126, miR-132–3p, and miR-103a-3p were the most promising diagnostic biomarkers for MPM, and we estimated a pooled area under the curve (AUC) of 85 %, 73 %, and 50 %, respectively. In relation to MPM prognosis, miR-197‑3p resulted associated with increased survival time. MiR-126, alone and combined with miR-222, was confirmed associated also to LC diagnosis, together with miR-1254 and miR-574–5p; no miRNA was found associated to LC prognosis.</p></span> <span id="abss0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0006">Conclusion</span><p id="spara015" class="elsevierStyleSimplePara elsevierViewall">Based on our systematic literature review there is suggestive evidence that the expression of specific miRNAs in the blood serum or plasma are associated with asbestos-related LC and MPM diagnosis and prognosis. Further large longitudinal studies are urgently needed to validate these findings and elucidate the underlying mechanisms given the potential important implications for patients’ survival.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abss0001" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abss0002" "titulo" => "Aim" ] 2 => array:2 [ "identificador" => "abss0003" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abss0004" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abss0005" "titulo" => "Conclusion" ] ] ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="para0015a" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="ecom0001"></elsevierMultimedia><elsevierMultimedia ident="ecom0002"></elsevierMultimedia><elsevierMultimedia ident="ecom0003"></elsevierMultimedia><elsevierMultimedia ident="ecom0004"></elsevierMultimedia></p>" "etiqueta" => "Appendix" "titulo" => "Supplementary materials" "identificador" => "sec0008" ] ] ] ] "multimedia" => array:10 [ 0 => array:8 [ "identificador" => "fig0001" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 3669 "Ancho" => 3000 "Tamanyo" => 683159 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0001" "detalle" => "Fig " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">PRISMA flow diagram showing screening and selection of articles related to miRNAs and asbestos-related lung cancer outcomes resulting from the search in electronic bibliographic databases.</p>" ] ] 1 => array:8 [ "identificador" => "fig0002" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2131 "Ancho" => 3000 "Tamanyo" => 281466 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0002" "detalle" => "Fig " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Meta-analysis of selected studies evaluating the diagnostic accuracy expressed as Area Under the Curve (AUC) and 95 % Confidence Intervals (CIs) of specific miRNAs for MPM among men only.</p> <p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Footnote: AUC: Area Under the Curve; s.e.: standard error.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0001" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0003" "detalle" => "Table 1:" "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="11" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">New Castle Ottawa Scale Assessment for the Case Control Studies (<span class="elsevierStyleItalic">n</span> = 26)</th></tr><tr title="table-row"><a name="en0002"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">References \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q1: Is the case definition adequate? \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q2: Representativeness of the cases \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0005"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q3: Selection of Controls \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0006"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q4: Definition of Controls \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0007"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q5: Comparability of cases and controls on the basis of the design or analysis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0008"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q6: Ascertainment of exposure \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0009"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q7: Same method of ascertainment for cases and controls \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0010"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Q8: Non-Response Rate \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0011"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Overall Score \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0012"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Study Quality \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0013"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Casalone 2022 <a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mauro 2023 <a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0025"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Jiménez-Ramírez 2022 <a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0037"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ferrari 2022 <a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0049"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Faversani 2021 <a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0061"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0065"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0066"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2019 <a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0069"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0073"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0076"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0077"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0079"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Matboli 2018 <a class="elsevierStyleCrossRef" href="#bib0017"><span class="elsevierStyleSup">17</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0081"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0085"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0089"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Poor \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0090"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Matboli 2018 <a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">32</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0091"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0093"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0097"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2019 <a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0103"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0104"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0105"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0106"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0107"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0108"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0109"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0110"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0112"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cavalleri 2017 <a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0113"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0114"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0115"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0116"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0117"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0118"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0119"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0120"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0121"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0122"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0123"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mozzoni 2017 <a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0129"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0133"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0134"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2017 <a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0138"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0139"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0140"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0141"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0142"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0143"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0144"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0145"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Truini 2017 <a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0146"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0147"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0151"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0152"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0153"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0154"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0155"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0156"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Bononi 2016 <a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0157"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0158"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0159"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0160"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0161"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0162"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0163"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0165"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0166"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0167"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ak 2015 <a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0168"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0169"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0170"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0171"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0172"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0173"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0174"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0175"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0177"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0178"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2015 <a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0179"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0180"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0181"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0182"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0183"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0184"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0185"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0186"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0187"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0189"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Lamberti 2015 <a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0190"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0191"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0192"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0193"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0194"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0195"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0196"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0197"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0198"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0199"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0200"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Andersen 2014 <a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0203"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0204"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0205"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0206"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0207"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0208"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0209"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0210"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0211"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2014 <a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0212"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0213"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0216"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0217"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0218"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0219"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0220"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0221"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0222"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Gayosso-Gómez 2014 <a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">33</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0223"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0224"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0225"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0226"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0229"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0230"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0231"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0232"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0233"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Xu 2013 <a class="elsevierStyleCrossRef" href="#bib0044"><span class="elsevierStyleSup">44</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0234"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0235"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0236"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0237"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0238"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0239"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0240"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0241"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0242"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0243"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0244"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Muraoka 2013 <a class="elsevierStyleCrossRef" href="#bib0034"><span class="elsevierStyleSup">34</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0245"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0246"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0247"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0248"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0249"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0250"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0251"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0252"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0253"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0254"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0255"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2012 <a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0256"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0257"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0258"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0259"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0260"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0261"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0262"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0263"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0264"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0265"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0266"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2012 <a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0267"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0268"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0269"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0270"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0271"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0272"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0273"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0274"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0275"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0276"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">High \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0277"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tomasetti 2012 <a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0278"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0279"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0280"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0281"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0282"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0283"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0284"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0285"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0286"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0287"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0288"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Foss 2011 <a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0289"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0290"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0291"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0292"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0293"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0294"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0295"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0296"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0297"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0298"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0299"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Nymark 2011 <a class="elsevierStyleCrossRef" href="#bib0043"><span class="elsevierStyleSup">43</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0300"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0301"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0302"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0303"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0304"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0305"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0306"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0307"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0308"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0309"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0310"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="11" align="center" valign="top" style="border-bottom: 2px solid black">New Castle Ottawa Scale Assessment for the Cohort Study (<span class="elsevierStyleItalic">n</span> = 01)</td></tr><tr title="table-row"><a name="en0311"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Reference \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0312"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q1: Representativeness of the exposed cohort \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0313"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q2: Selection of the non-exposed cohort \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0314"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q3: Ascertainment of exposure \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0315"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q4: Demonstration that outcome of interest was not present at start of study \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0316"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q5: Comparability of cohorts on the basis of the design or analysis controlled for confounders \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0317"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q6: Assessment of outcome \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0318"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q7: Was follow-up long enough for outcomes to occur \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0319"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Q8: Adequacy of follow-up of cohorts \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0320"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Overall Score \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0321"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top" style="border-bottom: 2px solid black">Study Quality \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0322"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2015 <a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0323"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0324"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0325"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0326"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0327"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0328"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0329"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0330"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0331"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0332"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fair \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3469423.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara004" class="elsevierStyleSimplePara elsevierViewall">Quality assessment of the included studies via Newcastle Ottawa Scale.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0002" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0004" "detalle" => "Table 2:" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara006" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CA: cases, CO_Non_Asb-Exp: controls non-exposed to asbestos, MPM: malignant pleural mesothelioma, CO_Asb-Exp: controls exposed to asbestos, exp: exposure, +ve exp: positive exposure, -ve exp: negative exposure, EV: extracellular vesicles, Lung-Ad: lung adenocarcinoma, N: total sample size, SD: Standard deviation, M: male, F: female, S: smoker, NS: non-smoker, Ex: former smoker, NA: data not available, N/A: not applicable, EBC: exhaled breathe condensate, NR: data not reported, NSCLC: non-small cell lung cancer, NSCLC_Asb: Asbestos exposed non-small cell lung cancer, TS: training set, VS: validation set, FFPE: formalin-fixed paraffin embedded, EPP: extra pleural pneumonectomy, P/D: pleurectomy ± decortication, LS: long survivor, SS: short survivor, NNP: patient-matched non-neoplastic pleura, PTHX: non neoplastic reactive mesothelial proliferation due to pneumothorax, BAsb-Exp: Benign pleural asbestosis, Y: years.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0333"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Author, Year \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0334"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Country \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0335"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Study Design \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0336"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Sample Size \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0337"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Sex [n(%)] \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0338"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Age [Mean(±SD)] \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0339"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Smoking Status [n(%)] \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0340"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Asbestos Exposure Assessment \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0341"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Asbestos Exposure Duration \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0342"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Asbestos Exposure types [n(%)] \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0343"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">miRNA Matrix \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0344"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Outcome \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0345"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Casalone 2022<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0346"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Denmark, France, Germany, Greece, Italy, The Netherlands, Norway, Spain, Sweden, and The United Kingdom \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0347"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Population based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0348"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 164CA: 82CO_Non_Asb-Exp: 82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0349"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">M; CA: 59(72) CO_Non_Asb-Exp: 59 (72)F; CA: 23(28) CO_Non_Asb-Exp: 23(28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0350"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 57.7(±8.1)CO_Non_Asb-Exp: 57.8(±8.1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0351"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0352"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Questionnaire administered via personal interview \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0353"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0354"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;Unexposed: 18(22)Exposed: 40(48.7)NA: 24(29.7)CO_Non_Asb-Exp,Unexposed: 18(22)Exposed: 40(48.7)NA: 24(29.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0355"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Serum EV \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0356"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0357"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mauro 2023<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0358"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0359"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0360"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 225CA: 75CO_Asb-Exp: 75CO_Non_Asb-Exp: 75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0361"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N/A \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0362"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 69.3(±0.85)CO_Asb-Exp: 66.3(±0.78)CO_Non_Asb-Exp: 69.8(±0.92) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0363"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;S: 8(10.6)Ex: 13(17.3)NS:14(18.7)N/A: 40(53.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0364"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Questionnaire administered via personal interview \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0365"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0366"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Occupational; Documented:17(22.7),Possible:6(6.7)Domestic/Environmental:14(18.7)No:2(2.7)NA: 37(49.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0367"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0368"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0369"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ferrari 2022<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0370"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0371"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0372"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 80CA: 26CO_Asb-Exp: 54 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0373"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 20(77) F: 06(23)CO_Asb-Exp; M: 47(87) F: 07(13) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0374"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 71.3(±7.8)CO_Asb-Exp: 64.8(±6.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0375"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;NS: 8(31)Ex: 15(58)S: 3(12)CO_Asb-Exp; NS: 25(46)Ex: 24(44)S: 5(9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0376"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Questionnaire administered via personal interview \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0377"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 25[<span class="elsevierStyleItalic">min</span>: 1, Q1: 17, Q3: 32, <span class="elsevierStyleItalic">max</span>: 47]CO_Asb-Exp: 11[min: 0, Q1: 6, Q3: 25, max: 40] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0378"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;Occupational: 14(53.8)Environmental: 1(3.8)Unknown: 11(42.3)CO_Asb-Exp;Occupational: 54(100) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0379"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0380"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0381"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Jiménez-Ramírez 2022<a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0382"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mexico \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0383"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0384"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 326CA: 108CO_Asb-Exp: 218 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0385"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 90(33.5) F: 18(31.6)CO_Asb-Exp; M:179(66.5) F: 39(68.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0386"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Total sample; CA: 62[55–71] CO_Asb-Exp: 62[55 – 71]≤60 years; CA: 48(44.4) CO_Asb-Exp: 96(44.0)>60 years; CA: 60(55.6) CO_Asb-Exp: 122(56.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0387"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS; CA: 39(36.1) CO_Asb-Exp: 89(40.8)S; CA: 69(63.9) CO_Asb-Exp: 129(59.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0388"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Self-administered questionnaire \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0389"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Years of occupational exposure; CA: 11.5[2–28] CO_Asb-Exp: 17.5[5–27.5]Years of environmental exposure;CA: 30[18–42] CO: 35[20–46] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0390"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Asbestos; Yes, CA: 104(96.3)CO_Asb-Exp: 199(91.3)No, CA: 4(3.7)CO_Asb-Exp: 19(8.7)Occupational; Yes,CA: 82(75.9) CO_Asb-Exp: 128(58.7)No, CA: 26(24.1) CO_Asb-Exp: 90(41.3)Environmental; Yes, CA: 77(71.3) CO_Asb-Exp: 145(66.5)No, CA: 31(28.7) CO_Asb-Exp: 73(33.5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0391"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0392"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0393"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Faversani 2021<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0394"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0395"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0396"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 51CA_MPM: 23CO: 09CA_Lung-Ad: 14 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0397"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM; M: 23 F: N/ACO; M: 09, F: N/ACA_Lung-Ad; M: 14, F: N/A \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0398"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_Lung-Ad: 69 (±7)CO: 67 (±7)CA_MPM: NR[55–90] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0399"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_Lung-Ad;Ex: 10 (71)S: 2 (14.3)NA: 2 (14.3)CO;Ex: 6 (66.7)Yes: 3 (33.3)NA: 0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0400"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0401"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0402"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0403"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EBC and Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0404"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM, Lung-Ad \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0405"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2019<a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0406"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Germany \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0407"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0408"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 51CA: 17CO: 34 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0409"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 17(100)CO: 34(100) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0410"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 73[64 – 83]CO: 74[63 - 84] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0411"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;S: 1Ex: 13NS: 3CO;S: 4Ex: 21NS: 9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0412"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Self-administered questionnaire \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0413"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0414"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Occupational: NR(100 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0415"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0416"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0417"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Matboli 2018<a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">32</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0418"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Egypt \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0419"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0420"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 100CA: 60CO_Asb-Exp: 20CO_Non_Asb-Exp: 20 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0421"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM; M: 35(58.3)F: 25(41.7)CO_Asb-Exp; M: 12(60)F: 8(40)CO_Non_Asb-Exp; M: 12(60) F: 8(40) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0422"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; ≥55 years: 33 (55) <55 years: 27(45)CO_Asb-Exp; ≥55 years: 11(55)<55 years: 9(45)CO_Non_Asb-Exp; ≥55 years: 10(50)<55 years: 10(50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0423"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S: 24 (40)NS: 27 (45) Ex: 8 (13.3) PS: 1 (1.7)CO_Asb-Exp;S: 5 (25)NS: 14 (70) PS: 1 (5)CO_Non_Asb-Exp;S: 6 (30)NS: 13 (65) PS: 1 (5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0424"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0425"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0426"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; +ve exp: 45(76.3)-ve exp: 14(23.7)CO_Asb-Exp;+ve exp: 20 (100)CO_Non_Asb-Exp; -ve exp: 20(100) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0427"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0428"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0429"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2019<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0430"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0431"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0432"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 397CA_NSCLC-Asb: 105CA_NSCLC: 60CO_Asb-Exp: 80CA_MPM: 74CO: 78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0433"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA_NSCLC; M: NR (100)F: 0(0)CA_NSCLC-Asb; M: NR (100)F: 0(0)CA_MPM; M: NR(100)F: 0(0)Serum Training;CO; M: NR(79) F: NR(21)CA_NSCLC; M: NR(60) F: NR(40)CA_NSCLC-Asb; M: NR(80) F: NR(20)CA_MPM; M: NR(83)F: NR(17) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0434"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA_NSCLC: 65±7CA_NSCLC-Asb: 69±11CA_MPM: 72±8Serum Training;CO: 56±17CA_NSCLC: 71±10CA_NSCLC-Asb: 74±9CA_MPM: 71±7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0435"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA_NSCLC; NS: NR (25) S: NR (75)CA_NSCLC-Asb; NS: NR (25)S: NR (75)CA; NS: NR (25)Yes: NR (75)Serum Training;CO; NS: NR (42)S: NR (26)Ex: NR (32)CA_NSCLC; NS: NR (29)S: NR (26)Ex: NR (45)CA_NSCLC-Asb; NS: NR (20)S: NR (35), Ex: NR (45)CA_MPM; NS: NR (38)S: NR (12)Ex: NR (50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0436"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Self-administered questionnaire \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0437"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery set: NRSerum Training;CA_NSCLC-Asb: 6.4(±3.7)CA_MPM: 4.2(±3.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0438"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA_NSCLC; Not exposed: NR (100)CA_NSCLC-Asb; Occupational: NR (100)CA_MPM; Occupational: NR (100)Serum Training;CO; Not exposed: NR (100)CA_NSCLC; Not exposed: NR (100)CA_NSCLC-Asb; Occupational: NR (45), Environmental: NR (55)CA_MPM; Occupational: NR (59) Environmental: NR (41) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0439"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0440"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NSCLC, MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0441"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cavalleri 2017<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0442"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0443"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0444"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 42CA: 23CO_Asb-Exp: 19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0445"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 17(73.9)F: 6(26.1)CO_Asb-Exp; M: 15 (78.9)F: 4(21.1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0446"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 70.2(±7.8)CO_Asb-Exp: 66.5(±6.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0447"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S: 5(21.8)Ex: 12(52.1)NS: 6(26.1)CO_Asb-Exp; S: 3(15.8)Ex: 7(36.8)NS: 9(47.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0448"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Questionnaire administered via personal interview \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0449"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0450"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; Definite Occupational: 12(52.3)Possible Occupational: 2(4.3)Environmental: 2(4.3)NA: 7(30.4)CO_Asb-Exp; Definite Occupational: 19(100) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0451"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasmatic EV \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0452"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0453"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mozzoni 2017<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0454"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0455"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0456"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 61CA: 32CO_Asb-Exp: 14CO_Non_Asb-Exp: 15 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0457"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 24(NR)F: 3(NR)CO_Non_Asb-Exp; M: 12(NR)F: 3(NR)CO_Asb-Exp; M: 8(NR) F: 6(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0458"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 72.3(±15.6)CO_Asb-Exp: 75.9(±9.9)CO_Non_Asb-Exp:69.9(±7.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0459"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; NS: 12(NR)S: 20(NR)Ex: 00(NR)CO_Asb-Exp; NS: 8(NR)S: 4(NR)Ex: 2(NR)CO_Non_Asb-Exp; NS: 5(NR)S: 7(NR) Ex: 3(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0460"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0461"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0462"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0463"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma and FFPE tissue samples \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0464"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0465"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2017<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0466"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Germany \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0467"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0468"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 66CA: 22CO_Asb-Exp: 44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0469"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA; M: 21F: N/ACO_Asb-Exp; M: 21F: N/A \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0470"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA: 72[35–85]CO_Asb-Exp: 72[43–82] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0471"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;CA; S: 12(NR)NS: 9(NR)CO_Asb-Exp; S: 12(NR)NS: 9(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0472"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0473"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0474"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0475"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0476"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0477"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Truini 2017<a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0478"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0479"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0480"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 57TS: 27VS: 30 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0481"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">TS; M: 22(81) F: 5(19)VS; M: 25 (83) F: 5(17) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0482"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">TS: 67.9(±6.5)VS: 69.5(±8.5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0483"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">TS; S: 18(67)NS: 9(33)Unknown: 0(0)VS; S: 19(63)NS: 9(30)NA: 2(7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0484"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0485"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0486"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">TS; Yes: 22(81)NA: 5(19)VS; Yes: 20(67)NA: 10(33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0487"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FFPE biopsy tumourtissue \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0488"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0489"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Bononi 2016<a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0490"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0491"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0492"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 30CA: 10CO_Asb-Exp: 10CO_Non_Asb-Exp: 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0493"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0494"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 64[NR]CO_Asb-Exp: 64[NR]CO_Non_Asb-Exp: 64[NR] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0495"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0496"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0497"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0498"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0499"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0500"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0501"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ak 2015<a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0502"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Turkey \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0503"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0504"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 24CA: 18CO_B_Asb-Exp: 06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0505"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM; M: 09F: 09CO_B_Asb-Exp; M: 5F: 01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0506"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 68.0(±7.5), NR [48–81]CO_B_Asb-Exp: 65.7(±12.3), NR [49–79] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0507"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0508"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0509"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 33.1(±19.6), NR [0–81]CO_B_Asb-Exp: 28.2(±11.3), NR [20–49] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0510"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0511"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fresh frozen tissues \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0512"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0513"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2015<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0514"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0515"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0516"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 188CA: 45CO_Asb-Exp: 99CO_Non_Asb-Exp: 44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0517"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 40(89)F: 5(11)CO_Asb-Exp; M: 90(91)F: 9(9)CO_Non_Asb-Exp; M: NR (80)F: NR (20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0518"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 69 (±8)CO_Asb-Exp: 64(±10)CO_Non_Asb-Exp: 68(±6) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0519"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S or Ex, No: 14(31)Yes: 31(69)CO_Asb-Exp; S or Ex, No: 39(39) Yes: 61(61)CO_Non_Asb-Exp; S or Ex, No: NR (41) Yes: NR(59) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0520"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Self-administered questionnaire \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0521"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 25(±12)CO_Asb-Exp: 28(±11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0522"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0523"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0524"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0525"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2015<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0526"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Australia \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0527"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based retrospective cohort study \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0528"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 176EPP: 85P/D: 75LS: 08SS: 08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0529"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EPP; M: 68(80)F: 17(20)P/D; M: 59(79)F: 16 (21)LS; M: 6(NR)F: 2(NR)SS; M: 6(NR)F: 2(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0530"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EPP: 58[22–74]P/D: 66[42–83]LS: 51.5[37–64]SS: 62[47 – 70] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0531"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0532"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0533"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0534"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0535"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FFPE tumor specimens \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0536"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0537"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Lamberti 2015<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0538"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0539"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0540"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 24CA: 14CO_Non_Asb-Exp: 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0541"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 13F: 01CO_Non_Asb-Exp; M: 09 F: 01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0542"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 70.3(±4.6)CO_Non_Asb-Exp: 68.2(±5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0543"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0544"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0545"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0546"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0547"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0548"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0549"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Andersen 2014<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0550"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Denmark \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0551"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0552"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 71CA: 40CO; CO_DB: 12 CO_NNP: 14CO_PTHX: 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0553"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 32(80)F: 8(20)CO; CO_DB, M: 9(75), F: 3(25)CO_NNP, M: 11(79), F: 3(21)CO_PTHX, M: 5(100), F: 00(00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0554"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 64[40–77]CO; DB: 58.5[43–70]NNP: 65.5[44–72]PTHX: 34[20–38] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0555"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S: 26(65)NS: 14(35)CO; DB, S: 8(67), NS: 4(33) NNP, S: 10(71), NS: 4(29)PTHX; S: 1(20), NS: 4(80) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0556"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0557"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0558"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0559"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FFPE tumor specimens \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0560"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0561"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2014<a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0562"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Germany \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0563"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0564"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 95CA: 43CO_Asb-Exp: 52 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0565"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 43F: N/ACO_Asb-Exp; M: 52F: N/A \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0566"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 72[35–85]CO_Asb-Exp: 73[43–85] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0567"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S: 21(NR)NS: 20(NR)CO_Asb-Exp; S: 34(NR)NS: 18(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0568"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0569"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0570"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0571"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood - cellular blood fraction \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0572"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0573"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Gayosso-Gómez 2014<a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">33</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0574"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mexico \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0575"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0576"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 92CA_MPM: 11CO_Non_Asb-Exp_1: 23CO_Non_Asb-Exp_2: 22CA _Lung-Ad_1: 15CA _Lung-Ad_2: 21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0577"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM; M: 10(NR)F: 1(NR)CA _Lung-Ad_1; M: 04(NR)F: 11(NR) CA _Lung-Ad_2; M: 13(NR)F: 8(NR)CO_Non_Asb-Exp_1; M: 23(NR)F: 00(00)CO_Non_Asb-Exp_2; M: 00(00)F: 22(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0578"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM: 65.8(±13.4)CA _Lung-Ad_1: 61.7(±11.4) CA _Lung-Ad_2: 60.9(±15.4)CO_Non_Asb-Exp_1: 47.25(±5.8) CO_Non_Asb-Exp_2: 57.0 (±10.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0579"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM; S: 09(NR)NS: 02(NR)CA _Lung-Ad_1; NS: 15(NR) CA _Lung-Ad_2; S: 21(NR)CO_Non_Asb-Exp_1; S: 23(NR)CO_Non_Asb-Exp_2; S: 22(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0580"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Questionnaire administered via personal interview \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0581"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0582"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0583"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0584"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM, Lung-Ad \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0585"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Xu 2013<a class="elsevierStyleCrossRef" href="#bib0044"><span class="elsevierStyleSup">44</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0586"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">USA \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0587"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0588"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 31CA: 25CO_Non_Asb-Exp: 06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0589"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 14(NR)F: 11(NR)CO_Non_Asb-Exp; M: 04(NR)F: 02(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0590"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: NR [35–70]CO_Non_Asb-Exp: NR [58–71] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0591"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0592"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0593"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0594"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0595"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tumor samples specimens and Normal parietal pleura \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0596"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0597"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Muraoka 2013<a class="elsevierStyleCrossRef" href="#bib0034"><span class="elsevierStyleSup">34</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0598"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Japan \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0599"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0600"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 110CA: 48CO_B_Asb-Exp: 21CO_Non_Asb-Exp: 41 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0601"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 45(94)F: 3(6)CO_B_Asb-Exp; M: 15(71)F: 6(29)CO_Non_Asb-Exp; M: 23(56)F: 18(44) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0602"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Overall: 69[38–91]CA; <69 years: 28(58) ≥69 years: 20(42)CO_B_Asb-Exp; <69 years: 4(20)≥69 years: 17 (80)CO_Non_Asb-Exp; <69 years: 23(56) ≥69 years: 18(44) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0603"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; NS: 14(29)S: 34(71)CO_B_Asb-Exp; NS: 9(43)S: 12(57)CO_Non_Asb-Exp; NS: 23(56)S: 18(44) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0604"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0605"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0606"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0607"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0608"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0609"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2012<a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0610"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Australia \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0611"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0612"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 94Plasma or serum;CA: 15CO_Non_Asb-Exp: 14Tissue;CA: 18CO_Non_Asb-Exp: 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0613"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma or SerumCA; M: 13(NR)F: 02(NR)CO_Non_Asb-Exp; M: 09(NR)F: 05(NR)TissueCA; M: 14(NR)F: 04(NR)CO_Non_Asb-Exp; M: 05(NR)F: 02(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0614"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma or SerumCA: 68[51 – 83]CO_Non_Asb-Exp: 58.5[21–78]Tissue SamplesCA: 55[37 – 66]CO_Non_Asb-Exp: 68[57 – 76] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0615"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0616"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0617"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0618"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0619"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma or serum and ling tissue \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0620"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0621"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2012<a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0622"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Germany \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0623"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0624"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 65CA: 23CO_Asb-Exp: 17CO_Non_Asb-Exp: 25 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0625"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 18(NR) F: 5(NR)CO_Asb-Exp; M: 16(NR) F: 01(NR)CO_Non_Asb-Exp; M: 18(NR) F: 7(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0626"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 66[34–84]CO_Asb-Exp: 68[47–80]CO_Non_Asb-Exp: 70[56–84] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0627"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; Ex: 10(NR)NS: 12(NR)NA: 01(NR)CO_Asb-Exp; S: 06(NR)Ex: 05(NR)NS: 06(NR)CO_Non_Asb-Exp; S: 05(NR)Ex: 15(NR)NS: 05(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0628"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0629"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0630"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0631"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cellular fraction of human peripheral blood \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0632"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0633"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tomasetti 2012<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0634"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0635"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0636"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 121CA_MPM: 45CA_NSCLC: 20CO_Non_Asb-Exp: 56 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0637"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM; M: 31(NR)F: 14(NR)CA_NSCLC; M: 15(NR)F: 5(NR)CO_Non_Asb-Exp; M: 34(NR)F: 22(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0638"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM: 67.7(± 8.9)CA_NSCLC: 69.6(±8.1)CO_Non_Asb-Exp: 66.0(±6.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0639"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_MPM; S: 21 (47)Ex: 9(20) NS: 15(33)CA_NSCLC; S: 5(25)Ex: 6(30)NS: 9 (45)CO_Non_Asb-Exp; S: 27(48)Ex: 8(14) NS: 21(38) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0640"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Self-administered questionnaire \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0641"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0642"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0643"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0644"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM, NSCLC \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0645"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Foss 2011<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0646"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Italy \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0647"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0648"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 78CA: 03CA_NSCLC: 33CO_Non_Asb-Exp: 42 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0649"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,CO; M: 11F: 00CA_NSCLC; M: 10 F: 01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0650"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,CO: 64[60–74]CA_NSCLC: 65[50–72] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0651"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery CohortCO; NS: 1(NR)S: 5(NR)Ex: 5(NR)CA_NSCLC; S: 6(NR)Ex: 5(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0652"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0653"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0654"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0655"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0656"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NSCLC, MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0657"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Nymark 2011<a class="elsevierStyleCrossRef" href="#bib0043"><span class="elsevierStyleSup">43</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0658"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Finland \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0659"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Hospital based case-control \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0660"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N: 34CA: 13CO_Asb-Exp: 13CO_Non_Asb-Exp: 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0661"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; M: 13F: 00CO_Asb-Exp; M: 13F: 00CO_Non_Asb-Exp; M: 08F: 00 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0662"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 62.5(NR)CO_Asb-Exp: 62.6(NR)CO_Non_Asb-Exp: NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0663"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA; S: NR(38)Ex: NR(62)CO_Asb-Exp; S: NR(54)Ex: NR(46)CO_Non_Asb-Exp; S: NR(57)Ex: NR(43) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0664"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0665"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA: 33.4(NR)CO_Asb-Exp: 0.04(NR)CO_Non_Asb-Exp: 0.7(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0666"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0667"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FFPE biopsy tumourtissue \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0668"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3469421.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara005" class="elsevierStyleSimplePara elsevierViewall">Characteristics of the 27 studies included in the systematic review.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0003" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0005" "detalle" => "Table 3:" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara008" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CA: cases, CO_Non_Asb-Exp: controls non-exposed to asbestos, MPM: malignant pleural mesothelioma, CO_Asb-Exp: controls exposed to asbestos, exp: exposure, +ve exp: positive exposure, -ve exp: negative exposure, EV: extracellular vesicles, Lung-Ad: lung adenocarcinoma, N: total sample size, M: male, F: female, S: smoker, NS: non-smoker, Ex: former smoker, NA: data not available, N/A: not applicable, EBC: exhaled breathe condensate, NR: data not reported, NSCLC: non-small cell lung cancer, NSCLC_Asb: Asbestos exposed non-small cell lung cancer, TS: training set, VS: validation set, FFPE: formalin-fixed paraffin embedded, EPP: extra pleural pneumonectomy, P/D: pleurectomy ± decortication, LS: long survivor, SS: short survivor, NNP: patient-matched non-neoplastic pleura, PTHX: non neoplastic reactive mesothelial proliferation due to pneumothorax, BAsb-Exp: Benign pleural asbestosis, Y: years, OR: Odds ratio, HR: Hazard ratio, (β): β, standard co-efficient.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0669"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Author, Year \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0670"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Matrix of miRNA \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0671"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">miRNAs \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0672"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">miRNA Expression change \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0673"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Statistical model and adjustment for confounders \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0674"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Effect estimates (95 % CI) of miRNAs expression change \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0675"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">miRNAs expression changes in Fold change (FC) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0676"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Adjustment for multiple tests \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0677"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cancer type \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0678"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cancer Histology \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0679"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cancer Stage \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0680"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Casalone 2022<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a></td><a name="en0681"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Serum Extracellular Vesicles</td><a name="en0682"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0683"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0684"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Multivariable logistic regression model adjusted for age, batch effect, country and asbestos exposure</td><a name="en0685"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0686"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">miR-11,400: 1.4 (0.69–2.0)miR-148a-3p: 0.6 (0.2–0.82)miR-409–3p: 0.7 (0.02–1.3)</td><a name="en0687"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">miR-11,400: 0.01 (FDR - adjusted p value)</td><a name="en0688"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en0689"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0690"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td></tr><tr title="table-row"><a name="en0693"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-148a-3pmiR-409–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0694"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0702"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mauro 2023<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0703"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0704"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-197‑3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0705"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0706"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">ANOVA testmatching by age \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0707"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0708"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0709"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA vs. CO_Asb-Exp: 0.0036CO_Asb-Exp vs. CO_Non_Asb-Exp: 0.0001(Tukey test – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0710"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0711"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 27 (36.0)Sarcomatoid: 20 (26.7)Biphasic: 28 (37.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0712"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0713"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Jiménez-Ramírez 2022<a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0714"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0715"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0716"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0717"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mann-Whitney U, Chi-squared or Fisher's exact testMatching by sex and age \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0718"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0719"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0720"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0721"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0722"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 102(94.4)Biphasic: 2(1.9)Sarcomatoid: 4 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0723"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0724"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ferrari 2022<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0725"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma samples \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0726"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p miR-30e-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0727"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0728"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Multivariable logistic regression model adjusted for sex, age, BMI, and smoking \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0729"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">OR;miR-103a-3p: 0.99996(0.99970–1.000)miR-30e-3p: 1.00004(0.99950–1.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0730"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p: 0.57miR-30e-3p: 0.76 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0731"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0732"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0733"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 14(54)Biphasic: 10(38)Sarcomatoid: 2(8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0734"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 8(31)Stage II: 6(23)Stage III: 7 (27)Stage IV: 5 (19) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0735"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">Faversani 2021<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a></td><a name="en0736"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">Blood plasma</td><a name="en0737"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-597–5pmiR-1260a \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0738"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0739"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">Multivariable logistic regression model adjusted for age, BMI and smoking habits</td><a name="en0740"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">OR;miR-597–5p: 0.852miR-1260a: 1.615miR-130b-3p: 0.410miR-302b-3p: 2.849miR-518f-3p: 1.030let-7f-5p: 0.301miR-345–5p: 0.406miR-362–5p: 0.390miR-1260a: 1.615</td><a name="en0741"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="5" align="left" valign="top">Blood plasma;miR-597–5p: 2.4miR-1260a: 9.9Let-7f-5p: 0.39miR-1260a: 21.5miR-130b-3p: 0.98miR-302b-3p: 0.06miR-345–5p: 2.68miR-362–5p: 2.04miR-518f-3p: 4.0miR-597–5p: 2.57</td><a name="en0742"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">let-7f-5p: 0.399miR-1260a: 0.999miR-130b-3p: 0.999miR-302b-3p: NRmiR-345–5p: 0.936miR-362–5p: 0.999miR-518f-3p: 0.200(FDR - adjusted p value)</td><a name="en0743"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en0744"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">Lung_Ad: NR(100)</td><a name="en0745"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="6" align="left" valign="top">Stage I - II: NR(100)</td></tr><tr title="table-row"><a name="en0748"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-130b-3p miR-302b-3p miR-518f-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0749"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0759"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">let-7f-5p miR-345–5p miR-362–5p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0760"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0765"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Lung-Ad \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0770"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-1260a \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0771"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0776"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="3" align="left" valign="top">MPM</td></tr><tr title="table-row"><a name="en0780"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">EBC</td><a name="en0781"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">miR-1260a</td><a name="en0782"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">↑</td></tr><tr title="table-row"><a name="en0796"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EBC;miR-1260a: 1.26miR-597–5p: 1.42 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0801"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2019<a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0802"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0803"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3pmiR-126–3p miR-103a-3p Combination of three miRNAs \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0804"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0805"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mann–Whitney U tests and Kruskal–Wallis testsMatching by age, sex, smoking status, and date of blood collection \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0806"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0807"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0808"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0809"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0810"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 10(58.8)Biphasic: 2(11.8)Sarcomatoid: 3(17.6)Not specified: 2(11.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0811"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0812"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Matboli 2018<a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">32</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0813"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0814"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-548a-3p miR-20a \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0815"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0816"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kruskal–Wallis tests and one way analysisMatching by sex, age, history of smoking and asbestos exposure \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0817"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Standardized coefficients (β) Linear regression analysismiRNA‐2053 after cutoff: 0.303(0.072–0.522) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0818"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;miR-250,053: 19.3729CO_Asb-Exp;miR-250,053: 0.8450CO_Non_Asb-Exp;miR-250,053: 0.7492 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0819"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0820"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0821"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0822"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 46(76.7)Stage II: 13 (21.7)Stage III: 1 (1.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0823"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2019<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0824"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0825"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126miR-222 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0826"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0827"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Multivariable logistic regression model adjusted for age, sex, and smoking \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0828"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">OR;miR-222: 1.501 (1.148–1.958)miR-222/miR-126: 0.138(0.019–0.076) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0829"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_NSCLC;miR-126: 0.90miR-205: 2.93miR-222: 1.84miR-520 g: 1.09CA_NSCLC-Asb;miR-126: 1.18miR-205: 2.91miR-222: 4.14miR-520 g: 0.63CA;miR-126: 0.45miR-205: 0.61miR-222: 0.85miR-520 g: 0.65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0830"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222: 0.003miR-222/miR-126: 0.047(two-tailed Student t-test - adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0831"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM, NSCLC \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0832"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,CA_NSCLC; Adenocarcinoma: NR(100)CA_NSCLC_Asb; Squamous: NR(25) Adenocarcinoma: NR(75)CA; Epithelioid: NR(90) Biphasic: NR(10)Serum_TrainingCA_NSCLC; Squamous: NR(35) Large cell: NR(10) Adenocarcinoma: NR(55)CA_NSCLC_Asb; Squamous: NR(36) Large cell: NR(18) Adenocarcinoma: NR(46)CA; Epithelioid: NR(75) Sarcomatoid: NR(25) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0833"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0834"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cavalleri, 2017<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0835"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasmatic extracellular vesicles (Evs) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0836"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103amiR-98miR-148bmiR-744miR-30e-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0837"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0838"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cox multivariableregression model adjusted for age, sex, BMI and smoking. \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0839"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">HR;miR-103a: 0.37(0.13–1.13)miR-30e-3p: 0.51(0.17 - 1.52) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0840"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 0.25miR-98: 0.23miR-148b: 0.29miR-744: 0.31miR-30e-3p: 0.37 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0841"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 0.056miR-98: 0.056miR-148b: 0.056miR-744: 0.056miR-30e-3p: 0.056(FDR - adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0842"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0843"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 10(NR)Biphasic: 11(NR)Sarcomatoid: 01(NR)Not specified: 01(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0844"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0845"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mozzoni 2017<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0846"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood plasma and FFPE tissue \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0847"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-17miR-126 miR-16 miR-486 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0848"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0849"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Two-sided, two-sample <span class="elsevierStyleItalic">t</span>-testNR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0850"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0851"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0852"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0853"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0854"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 26(NR)Biphasic: 6(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0855"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 2(NR)Stage II: 9(NR)Stage III: 15(NR)Stage IV: 6(NR) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0856"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2017<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0857"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0858"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0859"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0860"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Wilcoxon rank-sum testsMatching by age and smoking \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0861"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0862"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0863"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0864"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0865"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;Epithelioid: 14(NR)Biphasic: 4(NR)Sarcomatoid: 3(NR)Not specified: 0(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0866"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0867"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Truini 2017<a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0868"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FFPE biopsy tumor \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0869"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-99alet-7cmiR-125b \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0870"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0871"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cox multivariable regression model adjusted for age and histological subtype \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0872"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">HR;Training setmiR-99a: 0.42(NR)let-7c: 0.32 (NR)miR-125b: 0.41 (NR)TCGA MPM datasetmiR-99a-5p: 0.75(NR)let-7c: 0.79(NR)miR-125b-5p: 0.63(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0873"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-99a-5p: 0.14let-7c: 0.18miR-125b-5p: 0.31 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0874"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Training set;miR-99a: 0.0014 let-7c: 0.0014miR-125b: 0.0010TCGA MPM datasetmiR-99a-5p: 0.0040let-7c: 0.0240miR-125b-5p: 0.0010(Cox proportional hazard – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0875"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0876"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 20(74) Sarcomatoid: 3(11) Biphasic: 3 (11) Not typified: 1(4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0877"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0878"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Bononi 2016<a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0879"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0880"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-197–3pmiR-1281miR 32–3pmiR-197–3pmiR-32–3pmiR-1281 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0881"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0882"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0883"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0884"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-1281: 3.7miR-32–3p: 18miR-197–3p; CA vs. CO_Non_Asb-Exp: 4.4CA vs. CO_Asb-Exp: 5.5miR-1281; CA vs. CO_Non_Asb-Exp: 3.7CO_Asb-Exp vs. CO_Non_Asb-Exp: 3.3miR-32–3p; CA vs CO_Non_Asb-Exp: 17.6CO_Asb-Exp vs. CO_Non_Asb-Exp: 61.5miR-197–3p; CA vs. CO_Non_Asb-Exp: 1.8CA vs. CO_Asb-Exp: 2.5miR-1281; CA vs. CO_Non_Asb-Exp: 2.5CA vs. CO_Asb-Exp: 3.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0885"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0886"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0887"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0888"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0889"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ak 2015<a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0890"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fresh frozen tissues \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0891"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-484miR-320let-7amiR-744miR-20amiR-193blet-7dmiR-125a-5pmiR-92amiR-155miR-152 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0892"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0893"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0894"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0895"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-484: 5.58miR-320: 2.87let-7a: 13.93miR-744: 4.26miR-20a: 5.7miR-193b: 3.03let-7d: 5.82miR-125a-5p: 8.17miR-92a: 2.39miR-155: 3.16miR-152: 2.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0896"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-484: 0.010miR-320: 0.017let-7a: 0.019miR-744: 0.019miR-20a: 0.019miR-193b: 0.019let-7d: 0.045miR-125a-5p: 0.045miR-92a: 0.045miR-155: 0.045miR-152: 0.047(Multiple hypothesis testing, <span class="elsevierStyleItalic">q</span> value function – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0897"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0898"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelial:10(55.6)Mixed: 4(22.2)Sarcomatoid: 4(22.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0899"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I - II: 4 (22.2)Stage III - IV: 14 (77.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0900"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2015<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0901"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0902"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0903"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0904"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Multivariable regression modeladjusted for age, sex, smoking and asbestos exposure \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0905"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CO_Non_Asb-Exp vs CO_Asb-Exp;miR-126: 1.23(1.0–1.6) (<span class="elsevierStyleItalic">p</span> = 0.056)CO_Asb-Exp vs. CA;MiR-126: 1.13(0.9–1.4) (<span class="elsevierStyleItalic">p</span> = 0.259)CA vs. CO_Non_Asb-Exp;MiR-126: 1.34(1.0–1.8) (<span class="elsevierStyleItalic">p</span> = 0.05) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0906"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0907"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0908"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0909"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 33 (73 %)Biphasic: 9 (20 %)Sarcomatoid: 3 (7 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0910"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0911"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2015<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0912"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Formalin-fixed paraffin embedded (FFPE) tumor specimens \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0913"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-21–5pmiR-23a-3pmiR-30e-5pmiR-221–3pmiR-222–3p miR-31–5p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0914"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0915"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Multivariable logistic regression model adjusted for histological subtype, age, and sex \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0916"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">OR;miR-21–5p: 0.87miR-23a-3p: 1.20miR-30e-5p: 0.79miR-221–3p: 0.79miR-222–3p: 0.90miR-31–5p: 1.06HR from Cox regression model:Univariable model:miR-21–5p: 2.84(1.48–5.45)Multivariable model:hsa-miR-21–5p: 3.35(1.66–6.75) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0917"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222–3p: −4.43miR-221–3p: −3.51miR-210–3p: −3.46miR-21–5p: −2.76miR-93–5p: −2.67miR-106b-5p: −2.51miR-17–5p: −2.50miR-27a-3p: −2.16miR-20a-5p: −2.12miR-19b-3p: −2.02miR-30e-5p: −2.02miR-23a-3p: −1.81miR-662: 2.88Microarray only;miR-1469: 2.02miR-1826: 2.29miR-298: 15.39RT-qPCR only;miR-29c-5p: NAmiR-31–5p: NAmiR-106a-5p: NAmiR-126–3p: NAmiR-625–3p: NAmiR-92a-3p: NAmiR-24–3p: NART-qPCR ResultsMicroarray and RT-qPCR;miR-222–3p: −2.7miR-221–3p: −2.49miR-210–3p: −2.68miR-21–5p: −1.76miR-93–5p: −2.29miR-106b-5p: −2.21miR-17–5p: −2.23miR-27a-3p: −1.79miR-20a-5p: −1.82miR-19b-3p: −1.49miR-30e-5p: −2.34miR-23a-3p: −1.73miR-662: 1.14RT-qPCR;miR-29c-5p: 1.03miR-31–5p: 1.51miR-106a-5p: −2.00miR-126–3p: −1.75miR-625–3p: −1.11miR-92a-3p: −1.39miR-24–3p: 1.51 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0918"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-221–3p: 0.0147miR-210–3p: 0.0465miR-21–5p: 0.0465miR-93–5p: 0.0495miR-27a-3p: 0.0465(Benjamini-Hochberg Correction for FDR – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0919"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0920"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EPP - Complete cohort; Epithelioid: 65(76) Biphasic: 20(24) Sarcomatoid: 0(0)P/D - Complete cohort; Epithelioid: 37(49) Biphasic: 26(35) Sarcomatoid: 12(16) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0921"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0922"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Lamberti 2015<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a></td><a name="en0923"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Blood serum</td><a name="en0924"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-101miR-25miR26bmiR335miR433 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0925"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0926"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0927"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0928"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0929"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0930"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en0931"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Epithelial: 07(NR)Sarcomatoid: 03(NR)Mixed: 04(NR)</td><a name="en0932"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Stage I: 05(NR)Stage II: 03(NR)Stage III: 06(NR)</td></tr><tr title="table-row"><a name="en0935"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR191miR-223 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0936"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0944"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Andersen 2014<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a></td><a name="en0945"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Formalin-fixed, paraffin-embedded tissue specimens</td><a name="en0946"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-378miR-365amiR-193a-3pmiR-193bmiR-210 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0947"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0948"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Multivariable logistic regression model used to estimate the performance of each miRNA (i.e., miR-143, miR-145, and miR-652) adjusted for the effect of the other 2 miRNAs</td><a name="en0949"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Estimate (where <span class="elsevierStyleItalic">p</span>< 0.001)Intercept: 4.38(4.22–4.54)miR-126: 0.53(0.49–0.57)miR-143: 0.98(0.94–1.02)miR-145: −2.34[(−2.27) – (−2.39)]miR-652: −1.45 [(−1.40) – (−1.50)]</td><a name="en0950"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">CO_DB vs CAmiR-126: 1.95miR-143: 2.44miR-145: 1.54miR-193a-3p: 2.49miR-193b: 1.31miR-652: 1.20CA vs CO_NNPmiR-126: −2.91miR-143: −2.62miR-145: −6.95miR-193a-3p: 2.38miR-193b: −1.90miR-652: −3.06</td><a name="en0951"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">CO_DB;miR-126: −1.91 (1.53)miR-143: −1.32 (1.11)miR-145: −1.91 (1.33)miR-193a-3p: −2.43 (1.20)miR-193b: −0.37 (0.66)miR-652: 1.60 (1.12)CO_NNP;miR-126: −4.42 (1.53)miR-143: −4.00 (1.64)miR-145: −5.33 (1.30)miR-193a-3p: −2.36 (1.32)miR-193b: 0.95 (1.12)miR-652: −0.27 (1.11)CA;miR-126: −2.87 (1.28)miR-143: −2.61 (1.27)miR-145: −2.53 (1.42)miR-193a-3p: −1.11 (1.13)miR-193b: 0.02 (1.24)miR-652: 1.34 (0.87)CO_PTHX;miR-126: −5.50 (1.40)miR-143: −4.13 (1.49)miR-145: −4.79 (1.27)miR-193a-3p: −2.38 (0.76)miR-193b: −1.14 (0.74)miR-652: 0.30 (1.17)turky-kramer post hoc test – adjusted p value</td><a name="en0952"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en0953"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM; Epithelioid: 18(45), Biphasic: 22(55)CO_DB; Epithelioid: 9(75), Biphasic: 3(25)</td><a name="en0954"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">CA,Stage I: 1(3)Stage II: 6(15)Stage III: 23(58)Stage IV: 10(25)CO_DB,Stage I: 1(8)Stage II: 8(67)Stage III: 3(25)</td></tr><tr title="table-row"><a name="en0957"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">let-7cmiR-99a miR-126miR143miR-145miR-144–5pmiR-451amiR-486–5pmiR-652 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0958"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0966"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2014<a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0967"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood - cellular blood fraction \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0968"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0969"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0970"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0971"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0972"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0973"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0974"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0975"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 28(NR), Biphasic: 6(NR), Sarcomatoid: 5(NR), Not specified: 4(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0976"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0977"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Gayosso-Gómez 2014<a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">33</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0978"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0979"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-1292–5pmiR-409–5pmiR-92b-5pmiR-4791miR-185–5pmiR-96–5pmiR-1271–5p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0980"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0981"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0982"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0983"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA vs. CO_Non_Asb-ExpmiR-4791: 8.93miR-185–5p: 3.995miR-96–5p: 4.453miR-1271–5p: InfmiR-1292–5p: InfmiR-409–5p: InfmiR-92b-5p: 6.33CA _Lung-Ad vs CO_Non_Asb-ExpmiR-4791: 10.1449miR-185–5p: 5.1217miR-1271–5p: InfCA vs. CA _Lung-AdmiR-1292–5p: 2.345miR-409–5p: 2.603 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0984"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0985"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0986"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;Epithelioid: 11(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0987"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA, IIIA: 01(NR), IIIB: 03(NR), IV: 04(NR), IIA: 04(NR), IIA: 01(NR), NR: 03(NR)CA _Lung-Ad; IIIB: 05, IV: 31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0988"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Xu 2013<a class="elsevierStyleCrossRef" href="#bib0044"><span class="elsevierStyleSup">44</span></a></td><a name="en0989"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Tumor</td><a name="en0990"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-551bmiR-483–5pmiR-206miR-363 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0991"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0992"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0993"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en0994"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">miR-363: 23.8miR-130b: 3.5miR-221: 3.7miR-155: 3.8miR-21: 3.9miR-379: 4.1miR-629: 7.6</td><a name="en0995"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">miR-363: 9.3E-06miR-130b: 1.9E-04miR-221: 4.1E-03miR-155: 1.0E-03miR-21: 1.7E-03miR-379: 1.8E-02miR-629: 9.7E-05(Benjamini-Hochberg Correction for FDR – adjusted p value)</td><a name="en0996"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en0997"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Epithelial: 18(NR)Biphasic: 4(NR)Sarcomatoid: 3(NR)</td><a name="en0998"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td></tr><tr title="table-row"><a name="en1001"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-323–3pmiR-34bmiR-514miR-130bmiR-221miR-155miR-21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1002"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1010"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Muraoka 2013<a class="elsevierStyleCrossRef" href="#bib0034"><span class="elsevierStyleSup">34</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1011"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1012"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-34b/c \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1013"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Advanced MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 36(75)Biphasic: 8(17)Sarcomatoid: 4(8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 12(25)Stage II: 5(10)Stage III: 16(33)Stage IV: 12(25)Unknown: 3(7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2012<a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood plasma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-29c*miR-92amiR-625–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1025"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Plasma;miR-29c: 1.64In tumors;miR-625–3p: 4.35miR-29c: −2.65miR-92a: −1.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Test Cohort – CA;Epithelioid: 9(60)Biphasic: 3(20)Sarcomatoid: 2(13.33)Unspecified: 1(0.07)Tissue samples;Epithelioid: 15(83.33)Biphasic: 3(16.66)Sarcomatoid: 0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2012<a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cellular fraction of human peripheral blood \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103miR-20a \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mann-Whitney unpairedtestAge, sex, and smoking status were matched \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1037"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tomasetti 2012<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">One-way ANOVA to evaluate differences among MM and NSCLC patients and healthy controls. \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1049"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-hoc Bonferroni test \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPMNSCLC \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Foss 2011<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Blood serum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-1254miR-574–5p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1061"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-574–5p: 0.22miR-1254: 0.42(FDR – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Early-stage NSCLC \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_NSCLC, Adenocarcinoma: 6(NR), Bronchioloalveolar carcinoma: 1(NR), Squamous cell carcinoma: 1(NR), Large cell carcinoma: 1(NR), Other: 1(NR), Unavailable: 1(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,NSCLC,Stage I: 4Stage I/II: 0Stage II: 6Unavailable: 1MPMStage I: 1Stage I/II: 0Stage II: 2Unavailable: 0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1065"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Nymark 2011<a class="elsevierStyleCrossRef" href="#bib0043"><span class="elsevierStyleSup">43</span></a></td><a name="en1066"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Tissues</td><a name="en1067"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-148b miR-374a miR-24–1* let-7dlet-7emiR-199b-5pmiR-331–3p miR-96 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↑ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1069"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NRAge, sex, nationality, smoking history and distribution of histological types were matched</td><a name="en1070"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td><a name="en1071"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-148b: 0.325miR-374a: 0.5335714miR-24–1*: 0.19904763 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1072"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-148b: 0.028543miR-374a: 0.028543miR-24–1*: 0.047273 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1073"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">MPM</td><a name="en1074"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">Exposed PatientsLCLC: 03AC: 06SCC: 03SCLC: 02Non-exposed patientsLCLC: 01AC: 05SCC: 06SCLC: 02</td><a name="en1075"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top">NR</td></tr><tr title="table-row"><a name="en1078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-939miR-671–5pmiR-605miR-1224–5pmiR-202 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1079"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">↓ \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CO_Asb-Exp;miR-939: −1.2571429miR-671–5p: −0.42619047miR-605: −0.21642858miR-1224–5p: −0.52761906miR-202: −0.632619Lung-AdenocarcinomaCO_Asb-Exp;miR-202: −1.142 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-939: 0.018745miR-671–5p: 0.018745miR-605: 0.018745miR-1224–5p: 0.018745miR-202: 0.047273Lung-AdCO_Asb-Exp;miR-199b-5p: 0.049309miR-374a: 0.057633let-7d: 0.067007let-7e: 0.067007miR-331–3p: 0.067007miR-96: 0.067007miR-24–1: 0.067007Lung-AdCO_Asb-Exp;miR-202: 0.049309(Benjamini-Hochberg test, FDR – adjusted p value) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3469422.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara007" class="elsevierStyleSimplePara elsevierViewall">MicroRNAs found associated with diagnosis and/or prognosis of asbestos-related LC and/or MPM in the studies included in the systematic review.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0004" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0006" "detalle" => "Table 4:" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara010" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CA: cases, CO_Non_Asb-Exp: controls non-exposed to asbestos, MPM: malignant pleural mesothelioma, CO_Asb-Exp: controls exposed to asbestos, exp: exposure, +ve exp: positive exposure, -ve exp: negative exposure, EV: extracellular vesicles, Lung-Ad: lung adenocarcinoma, N: total sample size, M: male, F: female, S: smoker, NS: non-smoker, Ex: former smoker, NA: data not available, N/A: not applicable, EBC: exhaled breathe condensate, NR: data not reported, NSCLC: non-small cell lung cancer, NSCLC_Asb: Asbestos exposed non-small cell lung cancer, TS: training set, VS: validation set, FFPE: formalin-fixed paraffin embedded, EPP: extra pleural pneumonectomy, P/D: pleurectomy ± decortication, LS: long survivor, SS: short survivor, NNP: patient-matched non-neoplastic pleura, PTHX: non neoplastic reactive mesothelial proliferation due to pneumothorax, BAsb-Exp: Benign pleural asbestosis, Y: years.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en1087"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Author, Year \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1088"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">miRNA(s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1089"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Sensitivity (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1090"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Specificity (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1091"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Sensibility specificity at cut-off \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1092"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cut off Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1093"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Positive predictive value (PPV) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1094"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Negative predictive value (NPV) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1095"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Areas under the curve (AUC) and (95 % CI) for diagnosis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1096"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Areas under the curve (AUC) and (95 % CI) for survival (months) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1097"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cancer Histology \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1098"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Cancer Stage \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en1099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Casalone 2022<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400miR-148a-3pmiR-409–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400miR-148–3p and miR-409Discovery set (Prospective): 75 %Validation (Retrospective): 53 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400 miR-148–3pand miR-409Discovery set (Prospective): 70 %Validation (Retrospective): 95 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1103"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1104"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1105"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400miR-148–3p and miR-409Discovery set (Prospective): 71 %Validation (Retrospective): 94 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1106"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400 miR-148–3p and miR-409Discovery set (Prospective): 74 %Validation (Retrospective): 57 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1107"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-11,400miR-148–3p and miR-409Discovery set (Prospective): 81 %Validation (Retrospective): 86 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1108"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1109"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1110"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1111"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mauro 2023<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1112"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-197‑3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1113"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1114"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1115"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1116"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1117"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1118"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1119"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">ddPCR analyses; miR-197–3p,CA vs. CO_Asb-Exp: 0.65(0.563–0.739)CA vs CO_Non_Asb-Exp: 0.55(0.454–0.640)RT-qPCR analyses; miR-197–3p,CA vs. CO_Asb-Exp: 0.62(0.525–0.708)CA vs CO_Non_Asb-Exp: 0.56(0.472–0.657) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1120"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 13.5(±0.6)Sarcomatoid: 7.9(±0.7)Biphasic: 12.4(±0.6)TOT: 11.5(±0.6) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1121"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 27 (36.0)Sarcomatoid: 20 (26.7)Biphasic: 28 (37.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1122"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1123"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Jiménez-Ramírez 2022<a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">36</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1124"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1125"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p;M: 4.4 %F: 0 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1126"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p;M: 95.5 %F: 97.4 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1127"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1128"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p;M: 1782F: 3082 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1129"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">M;TP: 4TN: 171F;TP: 00TN: 39 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1130"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">M;FP: 8FN: 86F;FP: 0FN: 18 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1131"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p;M: 0.426(0.355–0.497)F: 0.437(0.284–0.589) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1132"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1133"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 102(94.4)Biphasic: 2(1.9)Sarcomatoid: 4 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1134"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1135"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2019<a class="elsevierStyleCrossRef" href="#bib0037"><span class="elsevierStyleSup">37</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1136"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3pmiR-126–3p miR-103a-3p Combination of three miRNAs \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1137"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p: 71 %miR-126–3p: 59 %miR-103a-3p: 82 %Combination of three miRNAs: 82 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1138"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p: 47 %miR-126–3p: 72 %miR-103a-3p: 42 %Combination of three miRNAs: 47 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1139"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1140"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1141"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1142"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1143"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p: 0.542(0.370–0.713)miR-126–3p: 0.614(0.439–0.789)miR-103a-3p: 0.603(0.440–0.765)Combination of three miRNA (s): 0.605(0.445–0.765) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1144"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1145"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 10(58.8)Biphasic: 2(11.8)Sarcomatoid: 3(17.6)Not specified: 2(11.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1146"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1147"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Matboli 2018<a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">32</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1148"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-548a-3pmiR-20aCombination miRNAs \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1149"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR 548a-3p: 91.7 %mir-20a: 96.7 %Combined (mir20a + miR-548a-3p): 100 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1150"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR 548a-3p: 97.5 %mir-20a: 95.0 %Combined (mir20a + miR-548a-3p): 87.5 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1151"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1152"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miRNA-548a-3p: 1.69miRNA-20a: 1.2Combind miRNAs: 1.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1153"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR 548a-3p: 98.2 %mir20a: 96.7 %Combined (mir20a + miR-548a-3p): 100 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1154"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR 548a-3p: 88.6 %mir20a: 95.0 %Combined (mir20a + miR-548a-3p): 92.3 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1155"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-548a-3p: 0.922 (0.855–0.982)miR-20a: 0.98 (0.927–0.992)Combind miRNAs: 0.96 (0.917–0.996) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1156"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1157"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1158"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 46(76.7)Stage II: 13 (21.7)Stage III: 1 (1.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1159"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2019<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1160"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126miR-205 miR-222miR-520 g \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1161"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222: 80 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1162"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222: 70 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1163"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1164"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222: 0.466 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1165"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1166"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1167"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-222: 0.767(0.675–0.858) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1168"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1169"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,CA_NSCLC; Adenocarcinoma: NR (100)CA_NSCLC_Asb; Squamous: NR(25) Adenocarcinoma: NR(75)CA; Epithelioid: NR(90) Biphasic: NR(10)Serum_TrainingCA_NSCLC; Squamous: NR(35) Large cell: NR(10) Adenocarcinoma: NR(55)CA_NSCLC_Asb; Squamous: NR(36) Large cell: NR(18) Adenocarcinoma: NR(46)CA; Epithelioid: NR(75) Sarcomatoid: NR(25) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1170"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1171"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Cavalleri 2017<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1172"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103amiR-98miR-148b miR-744miR-30e-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1173"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 1.000 miR-98: 1.000miR-148b: 1.000miR-744: 0.727miR-30e-3p: 0.636 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1174"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 0.667miR-98: 0.667miR-148b: 0.733miR-744: 0.867miR-30e-3p: 0.933 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1175"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1176"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1177"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1178"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1179"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 0.864(0.724–1.000)miR-98: 0.864(0.727–1.000)miR-148b: 0.852(0.699–1.000)miR-744: 0.845(0.705–0.986)miR-30e-3p: 0.827(0.679–0.976) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1180"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1181"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 10(NR)Biphasic: 11(NR)Sarcomatoid: 01(NR)Not specified: 01(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1182"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1183"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Mozzoni 2017<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1184"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-17miR-126 miR-16miR-486 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1185"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1186"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1187"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-17: 80.0–84.4miR-126: 80.0–97.8miR-486: 80.0–89.1miR-16: 86.7–82.2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1188"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-17: 5.9miR-126: 5.4miR-486: 9.2miR-16: 77.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1189"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1190"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1191"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-17: 0.88(0.78–0.98)miR-126: 0.95(0.89–1.00)miR-486: 0.88(0.79–0.96)miR-16: 0.89(0.81–0.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1192"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1193"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 26(NR)Biphasic: 6(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1194"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 2(NR)Stage II: 9(NR)Stage III: 15(NR)Stage IV: 6(NR) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1195"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2017<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">35</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1196"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1197"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p: 86 %Combination of miR-132–3p with the previously described miR-126; sensitivity: 77 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1198"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-132–3p: 61 %Combination of miR-132–3p with the previously described miR-126; specificity: 77 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1199"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1200"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1201"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1202"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1203"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery group;miR-132–3p: 0.91(0.80–1.00)Verification group;miR-132–3p: 0.75(0.63–0.88) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1204"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1205"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery;Epithelioid: 14(NR)Biphasic: 4(NR)Sarcomatoid: 3(NR)Not specified: 0(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1206"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1207"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ak 2015<a class="elsevierStyleCrossRef" href="#bib0041"><span class="elsevierStyleSup">41</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1208"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-484miR-320 let-7amiR-744 miR-20a miR-193b let-7dmiR-125a-5p miR-92amiR-155 miR-152 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1209"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-320: ≤7.27let-7a: ≤11miR-125a-5p: ≤9.36 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1210"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-320: 78 % - 100 %let-7a: 94 % - 83 %miR-125a-5p: 89 % - 100 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1211"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1212"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1213"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1214"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1215"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-484: ≥0.90 (NR)miR-320: ≥0.90 (NR)let-7a: ≥0.90 (NR)miR-125a-5p: ≥0.90 (NR)miR-484: ≤8.15 (NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1216"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1217"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelial:10(55.6)Mixed: 4(22.2)Sarcomatoid: 4(22.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1218"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I - II: 4 (22.2)Stage III - IV: 14 (77.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1219"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Santarelli 2015<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1220"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1221"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126: 75 %Met-TM: 60 %SMRPs: 60 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1222"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126: 54 %Met-TM: 82 %SMRPs: 89 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1223"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1224"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">SMRPs: 1 (nmol/L)miR-126: 10×<span class="elsevierStyleSup">10–3</span> (relative exp)Met-TM: 1 (relative exp) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1225"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1226"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1227"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">SMRPs: 0·818(0·723–0·914)miR-126: 0·710(0·568–0·822)Met-TM: 0·750 (0·641–0·858) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1228"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1229"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 33 (73 %)Biphasic: 9 (20 %)Sarcomatoid: 3 (7 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1230"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1231"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2015<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">31</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1232"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-21–5p miR-23a-3p miR-30e-5p miR-221–3p miR-222–3p miR-31–5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1233"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Combined 6 miR-Score: 82.4 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1234"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Combined 6 miR-Score: 80.6 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1235"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1236"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1237"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1238"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1239"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Combined 6 miR-Score: 0.867(0.76–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1240"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EPP (median): 18.86 [0.07–122.41]P/D(median): 7.62 [0.33–224.82]LS (median): 57.2[45.83–90.48]SS (median): 6.4[1.94–8.28] \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1241"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EPP - Complete cohort; Epithelioid: 65(76) Biphasic: 20(24) Sarcomatoid: 0(0)P/D - Complete cohort; Epithelioid: 37(49) Biphasic: 26(35) Sarcomatoid: 12(16) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1242"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1243"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Andersen 2014<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">40</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1244"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126miR-143 miR-145 miR-193a-3p miR-193bmiR-652 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1245"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All miRNAs (not individual): 0.95 (95 % CI, 0.89 - 1.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1246"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All miRNAs (not individual): 0.93 (95 % CI, 0.87 - 1.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1247"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1248"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1249"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1250"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1251"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126: 0.78 (0.64 - 0.92)miR-143: 0.76 (0.61 - 0.90)miR-145: 0.93 (0.85 - 1.00)miR-193a-3p: NAmiR-193b: NAmiR-652: 0.89 (0.80 - 0.90) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1252"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1253"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">MPM; Epithelioid: 18(45), Biphasic: 22(55)CO_DB; Epithelioid: 9(75), Biphasic: 3(25) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1254"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA,Stage I: 1(3)Stage II: 6(15)Stage III: 23(58)Stage IV: 10(25)CO_DB,Stage I: 1(8)Stage II: 8(67)Stage III: 3(25) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1255"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2014 <a class="elsevierStyleCrossRef" href="#bib0038"><span class="elsevierStyleSup">38</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1256"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1257"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All subjects;miR-103a-3p: 86 %Epithelioid mesothelioma; miR-103a-3p: 74 %Biphasic mesothelioma; miR-103a-3p: 89 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1258"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All subjectsmiR-103a-3p: 63 %Epithelioid mesothelioma; miR-103a-3p: 85 %Biphasic mesothelioma; miR-103a-3p: 63 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1259"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3pFPR =4 %, Cut-off = 2.01 nmol/lMaximum YI: 749.61FPR = 4 %, Cut off = 99.73Without sarcomatoid mesothelioma, Maximum YI, Cut off = 749.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1260"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All subjectsmiR-103a-3p: 749.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1261"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All subjects, miR-103a-3pTP: 37TN: 33 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1262"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All subjects, miR-103a-3pFP: 19FN: 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1263"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103a-3p: 0.76 (NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1264"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1265"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 28(NR), Biphasic: 6(NR), Sarcomatoid: 5(NR), Not specified: 4(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1266"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1267"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Muraoka 2013<a class="elsevierStyleCrossRef" href="#bib0034"><span class="elsevierStyleSup">34</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1268"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-34b/c \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1269"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-34b/c: 67 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1270"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-34b/c: 77 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1271"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1272"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1273"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1274"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1275"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-34b/c: 0.77 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1276"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1277"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Epithelioid: 36(75)Biphasic: 8(17)Sarcomatoid: 4(8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1278"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Stage I: 12(25)Stage II: 5(10)Stage III: 16(33)Stage IV: 12(25)Unknown: 3(7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1279"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Kirschner 2012<a class="elsevierStyleCrossRef" href="#bib0042"><span class="elsevierStyleSup">42</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1280"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-29c*miR-92amiR-625–3p \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1281"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;miR-625–3p: 73.33 %CO;miR-625–3p: 70 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1282"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;miR-625–3p: 78.57 %CO;miR-625–3p: 90 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1283"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1284"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1285"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1286"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1287"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA;miR-625–3p: 0.824 (0.669 - 0.979)CO;miR-625–3p: 0.793 (0.657 - 0.930) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1288"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1289"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Test Cohort – CA;Epithelioid: 9(60)Biphasic: 3(20)Sarcomatoid: 2(13.33)Unspecified: 1(0.07)Tissue samples;Epithelioid: 15(83.33)Biphasic: 3(16.66)Sarcomatoid: 0 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1290"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1291"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Weber 2012<a class="elsevierStyleCrossRef" href="#bib0039"><span class="elsevierStyleSup">39</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1292"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103, miR-20a \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1293"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CO_Asb-Exp: 83 %CO_Non_Asb-Exp: 78 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1294"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CO_Asb-Exp: 71 %CO_Non_Asb-Exp: 76 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1295"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1296"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103: 0.621 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1297"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1298"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1299"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-103, CA vs. CO_Asb-Exp: 0.757 (95 % CI: 0.586–0.929)miR-103, CA vs. CO_Non_Asb-Exp: 0.871 (95 %CI 0.766–0.977) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1300"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1301"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1302"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1303"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tomasetti 2012<a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1304"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1305"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126: 80 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1306"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-126: 60 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1307"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1308"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1309"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1310"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1311"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CO_Non_Asb-Exp Vs. CA:0.894(0.821–0.968)CO_Non_Asb-Exp Vs. CA_NSCLC: 0.675 (0.503–0.847)CA Vs. CA_NSCLC: 0.751(0.616–0.886) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1312"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1313"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1314"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1315"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Foss 2011<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1316"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">miR-1268, miR-574–5p, miR-1254, miR-1258 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1317"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NSCLC,miR-1254: 82 %miR-574–5p: 82 %Discovery cohort,miR-1254: 73 %miR-574–5p: 73 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1318"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NSCLC,miR-1254: 77 %miR-574–5p: 77 %Discovery cohort,miR-1254: 71 %miR-574–5p: 71 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1319"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1320"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1321"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1322"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1323"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery cohort, miR-1254 and miR-574–5p [miR-1254 + miR-574–5p] = 0.77Validation cohort, miR-1254 and miR-574–5p [miR-1254 + miR-574–5p] = 0.75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1324"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NR \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1325"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CA_NSCLC, Adenocarcinoma: 6(NR), Bronchioloalveolar carcinoma: 1(NR), Squamous cell carcinoma: 1(NR), Large cell carcinoma: 1(NR), Other: 1(NR), Unavailable: 1(NR) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1326"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Discovery,NSCLC,Stage I: 4Stage I/II: 0Stage II: 6Unavailable: 1MPMStage I: 1Stage I/II: 0Stage II: 2Unavailable: 0 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3469424.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara009" 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