<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Pathol. Oncol. Res.</journal-id>
<journal-title>Pathology &#x26; Oncology Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Pathol. Oncol. Res.</abbrev-journal-title>
<issn pub-type="epub">1532-2807</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1609858</article-id>
<article-id pub-id-type="doi">10.3389/pore.2021.1609858</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pathology and Oncology Archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>GTF2I Mutation in Thymomas: Independence From Racial-Ethnic Backgrounds. An Indian/German Comparative Study</article-title>
<alt-title alt-title-type="left-running-head">Jain et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">An Indian/German Comparative Study</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jain</surname>
<given-names>Deepali</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guleria</surname>
<given-names>Prerna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Singh</surname>
<given-names>Varsha</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parshad</surname>
<given-names>Rajinder</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kumar</surname>
<given-names>Sunil</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gaiser</surname>
<given-names>Timo</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kurz</surname>
<given-names>Katrin S.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ott</surname>
<given-names>German</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Porubsky</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Preissler</surname>
<given-names>Gerhard</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sauer</surname>
<given-names>Christian G.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sch&#xf6;lch</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Str&#xf6;bel</surname>
<given-names>Philipp</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hielscher</surname>
<given-names>Thomas</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marx</surname>
<given-names>Alexander</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Popovic</surname>
<given-names>Zoran V.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Pathology, All India Institute of Medical Sciences, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Surgery, All India Institute of Medical Sciences, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Surgical Oncology, All India Institute of Medical Sciences, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, <addr-line>Mannheim</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, <addr-line>Stuttgart</addr-line>, <country>Germany</country>
</aff>
<aff id="aff6">
<label>
<sup>6</sup>
</label>Department of Clinical Pathology, Robert-Bosch-Krankenhaus, <addr-line>Stuttgart</addr-line>, <country>Germany</country>
</aff>
<aff id="aff7">
<label>
<sup>7</sup>
</label>Institute of Pathology, University Hospital, Johannes-Gutenberg University Mainz, <addr-line>Mainz</addr-line>, <country>Germany</country>
</aff>
<aff id="aff8">
<label>
<sup>8</sup>
</label>Department of Thoracic Surgery, Schillerh&#xf6;he Clinics, Robert-Bosch-Krankenhaus, <addr-line>Gerlingen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff9">
<label>
<sup>9</sup>
</label>Department of Surgery, University Medical Centre Mannheim, University of Heidelberg, <addr-line>Mannheim</addr-line>, <country>Germany</country>
</aff>
<aff id="aff10">
<label>
<sup>10</sup>
</label>Junior Clinical Cooperation Unit Translational Surgical Oncology, German Cancer Research Center (DKFZ), <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff11">
<label>
<sup>11</sup>
</label>Institute of Pathology, University Medical Center G&#xf6;ttingen, University of G&#xf6;ttingen, <addr-line>G&#xf6;ttingen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff12">
<label>
<sup>12</sup>
</label>Department of Biostatistics, German Cancer Research Center (DKFZ), <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> Andrea Lad&#xe1;nyi, National Institute of Oncology (NIO), Hungary</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Deepali Jain, <email>deepalijain76@gmail.com</email>; Zoran V. Popovic, <email>zoran.popovic@umm.de</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>27</volume>
<elocation-id>1609858</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Jain, Guleria, Singh, Parshad, Kumar, Gaiser, Kurz, Ott, Porubsky, Preissler, Sauer, Sch&#xf6;lch, Str&#xf6;bel, Hielscher, Marx and Popovic.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Jain, Guleria, Singh, Parshad, Kumar, Gaiser, Kurz, Ott, Porubsky, Preissler, Sauer, Sch&#xf6;lch, Str&#xf6;bel, Hielscher, Marx and Popovic</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Thymomas are the most frequent adult mediastinal cancers. Their etiology is unknown and their pathogenesis poorly understood. Racial, ethnic and environmental factors influence tumorigenesis in many cancers, but their role in thymomas remains unclear to date. In this study that included pretreatment thymoma cases from India and Germany (<italic>n</italic>&#x20;&#x3d; 37 and <italic>n</italic>&#x20;&#x3d; 77, respectively) we compared i) the prevalence of the thymoma-specific chromosome 7 c.74146970T &#x3e; A mutation of the <italic>GTF2I</italic> gene in type A and AB thymomas; ii) epidemiological features; and iii) the frequency of myasthenia gravis (MG). Due to a known predominance of GTF2I mutation in A and AB histotypes, we included only a marginal number of type B thymomas as a control group in both cohorts. While the distribution of histological types between the cohorts was similar (<italic>p</italic>&#x20;&#x3d; 0.1622), Indian patients were strikingly younger (<italic>p</italic>&#x20;&#x3c; 0.0001; median age 50 vs. 65&#xa0;years) and showed significantly lower tumour stage (Masaoka-Koga stage I) at primary diagnosis (<italic>p</italic>&#x20;&#x3d; 0.0005) than the German patients. In patients with known MG status (<italic>n</italic>&#x20;&#x3d; 17 in Indian and <italic>n</italic>&#x20;&#x3d; 25 in German cohort), a clear trend towards more frequent MG was observed in the Indian group (<italic>p</italic>&#x20;&#x3d; 0.0504; 48 vs. 82%). The prevalence of the <italic>GTF2I</italic> mutation (analysed in <italic>n</italic>&#x20;&#x3d; 34 Indian and <italic>n</italic>&#x20;&#x3d; 77 German patients) was identical in the two cohorts. We conclude that racial-ethnic and environmental factors do not significantly influence the most common molecular feature of thymomas but may have an impact on the timing of clinical presentation.</p>
</abstract>
<kwd-group>
<kwd>epidemiology</kwd>
<kwd>thymoma</kwd>
<kwd>GTF2I mutation</kwd>
<kwd>myasthenia gravis</kwd>
<kwd>racial-ethnic factors</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Thymic epithelial tumours (TET)are the most common tumours arising in the anterior mediastinum in adults, comprising mainly thymomas and the rarer and more aggressive thymic carcinomas (<xref ref-type="bibr" rid="B1">1</xref>). The focus here is on thymomas that are subdivided into type A, AB, B1, B2, and B3 and rare other subtypes according to histological criteria of the WHO classification. Studies on the genomic landscape of TETs are limited. Nevertheless, the few studies conducted have demonstrated a genetic variability between the various histologic types thereby indicating that the subtypes are not only morphologically but also molecularly distinct (<xref ref-type="bibr" rid="B2">2</xref>-<xref ref-type="bibr" rid="B4">4</xref>). So much so that some authors have even identified molecular subtypes of TETs and have associated them with clinical phenotypes and outcomes (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Among various other genomic alterations, the most common one is the point mutation in chromosome 7 c.74146970T &#x3e; A of the <italic>general transcription factor II-I</italic> (<italic>GTF2I</italic>) gene that has been identified to be specific to thymic epithelial tumours, predominantly in type A and AB thymomas and associated with a more favourable prognosis<xref ref-type="bibr" rid="B7">(7</xref>, <xref ref-type="bibr" rid="B8">8)</xref>. Its prevalence in type B1-B3 thymomas and thymic carcinomas is much lower, with decreasing frequency as the histology progresses to a more aggressive subtype (<xref ref-type="bibr" rid="B7">7</xref>). Since the mutation has not been widely studied with respect to different racial and ethnic backgrounds, we aimed to identify its prevalence in two populations from different regions of the world and identify any geographical variability if present in the molecular profile of thymomas. With this objective in mind, we carried out a retrospective analysis, to assess the frequency of <italic>GTF2I</italic> mutation in Indian and German thymomas (mainly type A and AB) and to correlate it with clinical features.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<p>The study was carried out as collaboration between the departments of pathology at the University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany and the All India Institute of Medical Sciences, New Delhi. A cohort of Indian (<italic>n</italic>&#x20;&#x3d; 37) and German (<italic>n</italic>&#x20;&#x3d; 77) thymomas enriched for A and AB histotypes with a primary goal to address the GTF2I mutation frequency was retrieved from the departmental archives. Pretreatment surgical resections were performed in the period 2008&#x2013;2018 and included no recurrent tumor or metastatic tissue. The clinical details of these cases were obtained from case files. Hematoxylin-eosin stained slides were reviewed by two experts in the field (AM and DJ) in terms of histotype (<xref ref-type="bibr" rid="B1">1</xref>)and Masaoka-Koga stage (<xref ref-type="bibr" rid="B9">9</xref>) that allows for a more detailed description of early invasion than the TNM system (see <italic>Discussion</italic>). Primers for Exon 15 of the <italic>GTF2I</italic> gene were designed using National Center for Biotechnology Information (NCBI) and Primer 3 (v.0.4.0) software.</p>
<sec id="s2-1">
<title>DNA Isolation and Quantification</title>
<p>Genomic DNA was isolated from formalin-fixed, paraffin embedded (FFPE) samples using 50-&#xb5;m-thick sections of the tumour according to the manufacture&#x2019;s protocol using ReliaPrep gDNA Tissue Miniprep system (cat. No. A2050, Promega, United&#x20;States). Only paraffin blocks where cancer occupied &#x3e;50% of the section were selected for DNA extraction. The isolated DNA was subjected to qualitative and quantitative assessment <italic>via</italic> spectrophotometry-based absorbance studies using Nanodrop, Biodrop Resolution, Cambridge, United&#x20;Kingdom. Polymerase Chain Reaction (PCR) of GTF gene (exon 15) was carried out in a 25&#xa0;&#xb5;L total volume, containing 80&#xa0;ng genomic DNA, 10&#xa0;&#xb5;M respective primers and using GoTaq colorless master mix (cat. No. M7142, Promega, United&#x20;States).</p>
</sec>
<sec id="s2-2">
<title>Polymerase Chain Reaction and Sanger Sequencing</title>
<p>The PCR program was set as: HotStarsTaq activation at 95&#xb0;C for 5&#xa0;min, followed by 40 cycles, each having denaturation at 95&#xb0;C for 30&#xa0;s, annealing at 55&#xb0;C for 1&#xa0;min and extension at 72&#xb0;C for 45&#xa0;s, and the final extension was 72&#xb0;C for 10&#xa0;min. The quality of the PCR product was assessed using electrophoresis by resolving a part of the PCR amplified product (3&#xa0;&#xb5;l) on 1.5% agarose gel for all considered samples. Clear band of expected size was observed in all samples which corresponded to the size of the desired amplicons. The PCR product was then cleaned up manually using polyethylene glycol (PEG) purification methods. The PEG purified PCR product was used for sequencing PCR with a total reaction volume of 10&#xa0;&#xb5;l. The sequencing PCR was set as: initial denaturation at 95&#xb0;C, 5&#xa0;min, followed by 35 cycles, each having denaturation at 95&#xb0;C for 10&#xa0;s, annealing at 55&#xb0;C for 5&#xa0;s and extension at 60&#xb0;C for 4&#xa0;min. The sequencing PCR product was cleaned up using 125&#xa0;&#xb5;M EDTA, 100% ethanol, and 3&#xa0;M sodium citrate. Post-clean up, DNA was reconstituted in HiDi and incubated at 95&#xb0;C for 5&#xa0;min for denaturation and immediately put on ice to cool the PCR product. After this snap chilling, the samples were proceeded for sequencing. The sequencing was done using both forward and reverse primers (GTF2I_F: 5&#x2032;-ATC&#x200b;CCG&#x200b;TAC&#x200b;CCT&#x200b;CTT&#x200b;TTC&#x200b;C-3&#x2032;, GTF2I_R: 5&#x2032;-AGA&#x200b;CAA&#x200b;GAG&#x200b;TTC&#x200b;AAC&#x200b;AGG-3&#x2032;) for greater accuracy and the results were analysed using SeqMan II software (DNASTAR).</p>
</sec>
<sec id="s2-3">
<title>Immunohistochemistry</title>
<p>For immunohistochemical staining of representative thymoma cases, paraffin embedded tissue was cut to 1&#xa0;&#xb5;m sections. The staining was performed using an automated slide preparation system (Benchmark Ultra, Roche Tissue Diagnostics, Ventana, Tucson, AZ, United&#x20;States), a Ventana OptiView DAB IHC Detection Kit (Ventana, Tucson, AZ, United&#x20;States)and commercially available monoclonal antibodies for CD20 (Clone L26, DCS, Hamburg, Germany), TdT (Clone SEN28, Leica Biosystems, Buffalo Grove, IL, USA) and CK19 (Clone RCK108, Agilent, Santa Clara, CA. United&#x20;States).</p>
</sec>
<sec id="s2-4">
<title>Statistical Analyses</title>
<p>Primary endpoint of this study was the <italic>GTF2I</italic>mutational status. Subgroup analyses and analysis of MG status were exploratory. Associations between clinico-pathological and molecular factors and geographical origin were assessed with Fisher&#x2019;s exact test for categorical factors and with Wilcoxon test for age. Age-adjusted effects of clinical parameters were tested with the likelihood-ratio test of logistic regression models for origin between a model with predictors clinical parameter and age and a model with predictor age only. Heterogeneity of association between origin and mutational status across subgroups was analysed with the likelihood-ratio test between a model with origin and subgroup factor as predictors and a model including interaction term of both predictors. <italic>p</italic>-values below 0.05 were considered significant. Statistical software R 4.0 was used to carry out analyses.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Cohort Data and Histological Distribution</title>
<p>A total of 138 resection specimens were retrieved of which 37 were Indian cases and 101 were German. Among these, 114 cases were thymomas consisting of 23 (20.2%) type A thymomas, 52 (45.6%) type AB, 17 atypical A/AB (14.9%) and 22 (19.3%) type B1-B3 thymomas. German thymoma cases (<italic>n</italic>&#x20;&#x3d; 77) included 33 female (42,9%) and 44 male (57,1%) patients in the age range 31&#x2013;85&#xa0;years (median age 65&#xa0;years). Masaoka-Koga stage I was reported in 16/77 cases (20,8%), stage II in 38 cases (49,4%), stage III in 9 cases (11,7%) and stage IV in 14 cases (18,2%). The German cohort included 15 (19,5%) type A thymomas, 31 (40,3%) type AB, 15 atypical A/AB (19,5%) and 16 (20,8%) type B1-B3 thymomas. The remaining 24 German cases comprised 18 thymic carcinomas, 2 cases of sclerosing mediastinitis, 2 metaplastic thymomas, 1 thymolipoma and 1 thymic hyperplasia with lymphoepithelial sialadenitis (LESA)-like features&#x20;(<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>All the 37 Indian cases included in this study were thymomas [8 type A (21.6%), 21 type AB (56.8%), 2 atypical A/AB (5.4%)and 6 type B1-B3 thymomas (16.2%)]. Among the 37 Indian cases, there was an equal gender distribution (19 cases or 51.4% were females). The age range in the Indian group was 20&#x2013;73&#xa0;years with&#x20;a median age of 50&#xa0;years; hence, the Indian cohort was significantly younger than the German counterpart (<italic>p</italic>&#x20;&#x3c; 0.0001, <xref ref-type="table" rid="T1">Table&#x20;1</xref>; <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). Notably, even after excluding type B thymomas, this striking age difference remained in separate analyses of histotypes A and AB (<italic>p</italic>&#x20;&#x3d; 0.00097 and <italic>p</italic>&#x20;&#x3d; 0.0068, respectively; <xref ref-type="sec" rid="s10">Supplementary Table S1</xref>). In both cohorts there were no significant differences between the age distribution of patients with and without MG. Masaoka-Koga stage distribution was as follows: 24 (64.9%) stage I, 9 (24.3%) stage II and 4 cases (10.8%) were in stage&#x20;III.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Contingency table of clinico-pathological factors between origins (for gender, MG status, Masaoka-Koga stage, GTF2I mutation status, histological type and age).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">German</th>
<th align="center">Indian</th>
<th align="center">
<italic>p</italic>
</th>
<th align="center">Age-adjusted <italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">77</td>
<td align="center">37</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">33 (42.9)</td>
<td align="center">19 (51.4)</td>
<td align="char" char=".">0.4270</td>
<td align="char" char=".">0.20</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">44 (57.1)</td>
<td align="center">18 (48.6)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">MG Status (%)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">No</td>
<td align="center">13 (52.0)</td>
<td align="center">3 (17.6)</td>
<td align="char" char=".">0.0504</td>
<td align="char" char=".">0.13</td>
</tr>
<tr>
<td align="center">MG</td>
<td align="center">12 (48.0)</td>
<td align="center">14 (82.4)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">16 (20.8)</td>
<td align="center">24 (64.9)</td>
<td align="char" char=".">&#x3c;0.0001</td>
<td align="char" char=".">0.0003</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">38 (49.4)</td>
<td align="center">9 (24.3)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">23 (29.9)</td>
<td align="center">4 (10.8)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">WT</td>
<td align="center">28 (36.4)</td>
<td align="center">12 (35.3)</td>
<td align="char" char=".">1.00</td>
<td align="char" char=".">0.26</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">49 (63.6)</td>
<td align="center">22 (64.7)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">Histological type (%)</td>
<td align="center">A</td>
<td align="center">15 (19.5)</td>
<td align="center">8 (21.6)</td>
<td align="char" char=".">0.1622</td>
<td align="char" char=".">0.048</td>
</tr>
<tr>
<td align="center">AB</td>
<td align="center">31 (40.3)</td>
<td align="center">21 (56.8)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">atypical A/AB</td>
<td align="center">15 (19.5)</td>
<td align="center">2 (5.4)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">16 (20.8)</td>
<td align="center">6 (16.2)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">65.00 (53.00, 72.00)</td>
<td align="center">50.00 (37.00, 55.00)</td>
<td align="char" char=".">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
<fn id="Tfn1">
<label>a</label>
<p>MG status was known in 25 German and 17 Indian&#x20;cases.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>GTF2I Mutation was analysed in 77 German and 34 Indian&#x20;cases.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Age-distribution plot of Indian and German patients included in this&#x20;study.</p>
</caption>
<graphic xlink:href="pore-27-1609858-g001.tif"/>
</fig>
<p>Within defined WHO thymoma histotypes, we could not observe morphologic variations that could be assigned as specific to the Indian or German cohort, as confirmed by two experts in the field (AM and DJ). Representative histological and immunohistological features of thymoma cases included in this study are illustrated in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Typical morphological presentation of WHO thymoma histotypes included in this study (upper lane; HE, 20x objective) and corresponding immunohistochemical expression pattern (mid and low lanes; 20x objective).</p>
</caption>
<graphic xlink:href="pore-27-1609858-g002.tif"/>
</fig>
<p>Also, no significant difference regarding the distribution of thymoma histotypes was evident (<italic>p</italic>&#x20;&#x3d; 0.16; <xref ref-type="table" rid="T1">Table&#x20;1</xref>). In age-adjusted analysis, there was a difference (<italic>p</italic>&#x20;&#x3d; 0.048), because age and histotype are strongly associated. On the other hand, we could detect a highly significant difference with respect to disease stage at clinical presentation, showing a clear majority of Indian patients at Masaoka-Koga Stage I (64.9% of all Indian thymoma cases) in comparison to only 20.8% of German patients at this early stage (<italic>p</italic>&#x20;&#x3c; 0.0001; <xref ref-type="table" rid="T1">Table&#x20;1</xref>). In our histotype A- and AB-dominated cohorts, this difference was most prominent for type AB (<italic>p</italic>&#x20;&#x3d; 0.006) followed by type A thymomas (<italic>p</italic>&#x20;&#x3d; 0.03; <xref ref-type="table" rid="T2">Tables&#x20;2</xref> and <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Contingency table of clinico-pathological factors between origins (for histological type A).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">German</th>
<th align="center">Indian</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">15</td>
<td align="center">8</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">6 (40.0)</td>
<td align="center">6 (75.0)</td>
<td align="char" char=".">0.193</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">9 (60.0)</td>
<td align="center">2 (25.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">MG Status (%)</td>
<td align="center">No</td>
<td align="center">2 (100.0)</td>
<td align="center">1 (14.3)</td>
<td align="char" char=".">0.083</td>
</tr>
<tr>
<td align="center">MG</td>
<td align="center">0 (0.0)</td>
<td align="center">6 (85.7)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">3 (20.0)</td>
<td align="center">6 (75.0)</td>
<td align="char" char=".">0.032</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">6 (40.0)</td>
<td align="center">2 (25.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">6 (40.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)</td>
<td align="center">WT</td>
<td align="center">6 (40.0)</td>
<td align="center">1 (12.5)</td>
<td align="char" char=".">0.345</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">9 (60.0)</td>
<td align="center">7 (87.5)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">70.00 (66.00, 73.50)</td>
<td align="center">50.00 (41.50, 56.75)</td>
<td align="char" char=".">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Contingency table of clinico-pathological factors between origins (for histological type AB).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">German</th>
<th align="center">Indian</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">31</td>
<td align="center">21</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">13 (41.9)</td>
<td align="center">11 (52.4)</td>
<td align="char" char=".">0.573</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">18 (58.1)</td>
<td align="center">10 (47.6)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">MG Status (%)</td>
<td align="center">No</td>
<td align="center">7 (36.8)</td>
<td align="center">0 (0.0)</td>
<td align="char" char=".">0.272</td>
</tr>
<tr>
<td align="center">MG</td>
<td align="center">12 (63.2)</td>
<td align="center">5 (100.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">11 (35.5)</td>
<td align="center">15 (71.4)</td>
<td align="char" char=".">0.006</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">19 (61.3)</td>
<td align="center">4 (9.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">1 (3.2)</td>
<td align="center">2 (9.5)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)</td>
<td align="center">WT</td>
<td align="center">2 (6.5)</td>
<td align="center">4 (22.2)</td>
<td align="char" char=".">0.175</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">29 (93.5)</td>
<td align="center">14 (77.8)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">59.00 (50.00, 70.50)</td>
<td align="center">50.00 (41.00, 55.00)</td>
<td align="char" char=".">0.007</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Association With Myasthenia Gravis</title>
<p>In the German cohort, follow up information on myasthenia gravis status was available in 25/77 thymomas (of which 19 were type AB, 2 type A and 4 atypical A/AB) and 12 patients had myasthenia gravis (48% of patients with available information on myasthenia status). All tumours arising in myasthenia-positive German patients were diagnosed as type AB thymoma in Masaoka-Koga stage I or II (TNM: pT1a stage&#x20;I).</p>
<p>
<italic>Myasthenic status was known in 17 Indian patients, of these 14 had MG</italic> (82.3%) of which 6 (42.9%) had type A, 5 (35.7%) type AB thymomas and 3 cases (21.4%) type B thymomas. The single myasthenic patient with an atypical type A thymoma had recurrence of disease, and another patient with a &#x201c;conventional&#x201d; type A thymoma died due to myasthenic crisis. High risk features seen in the atypical A thymoma were increased atypia of the epithelial cells along with frequent mitotic activity and areas of necrosis.</p>
<p>Hence, a clear tendency towards significantly more frequent MG could be seen in the Indian cohort (82 vs. 48%; <italic>p</italic>&#x20;&#x3d; 0.0504; <xref ref-type="table" rid="T1">Table&#x20;1</xref>). When accounting for age differences between cohorts, no significant effect remained (<italic>p</italic>&#x20;&#x3d; 0.13; <xref ref-type="table" rid="T1">Table&#x20;1</xref>). No significant difference in association between geographical origin and MG status could be observed between age groups (<italic>p</italic>&#x20;&#x3d; 0.69; <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). Intriguingly, all German patients with MG had thymomas of AB histotype, compared with only 35.7% of Indian patients (<xref ref-type="table" rid="T4">Tables&#x20;4</xref> and <xref ref-type="table" rid="T5">5</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plot of logistic regression models for association between origin and MG status in age subgroups. &#x201c;IA <italic>p</italic>&#x201d; gives test on interaction/h`eterogeneity between subgroups.</p>
</caption>
<graphic xlink:href="pore-27-1609858-g003.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Contingency table of clinico-pathological factors between origins (for patients with MG).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">German</th>
<th align="center">Indian</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">12</td>
<td align="center">14</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">5 (41.7)</td>
<td align="center">9 (64.3)</td>
<td align="char" char=".">0.431</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">7 (58.3)</td>
<td align="center">5 (35.7)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">Histological type (%)</td>
<td align="center">A</td>
<td align="center">0 (0.0)</td>
<td align="center">6 (42.9)</td>
<td align="char" char=".">0.001</td>
</tr>
<tr>
<td align="center">AB</td>
<td align="center">12 (100.0)</td>
<td align="center">5 (35.7)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">atypical A/AB</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">0 (0.0)</td>
<td align="center">3 (21.4)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">3 (25.0)</td>
<td align="center">10 (71.4)</td>
<td align="char" char=".">0.047</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">9 (75.0)</td>
<td align="center">4 (28.6)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)</td>
<td align="center">WT</td>
<td align="center">1 (8.3)</td>
<td align="center">4 (28.6)</td>
<td align="char" char=".">0.330</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">11 (91.7)</td>
<td align="center">10 (71.4)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">55.00 (48.50, 71.25)</td>
<td align="center">48.00 (35.50, 51.50)</td>
<td align="char" char=".">0.025</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Contingency table of clinico-pathological factors between origins (for MG-free patients).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">German</th>
<th align="center">Indian</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">n</td>
<td align="center">&#x2014;</td>
<td align="center">13</td>
<td align="center">3</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">4 (30.8)</td>
<td align="center">1 (33.3)</td>
<td align="char" char=".">1.000</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">9 (69.2)</td>
<td align="center">2 (66.7)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">Histological type (%)</td>
<td align="center">A</td>
<td align="center">2 (15.4)</td>
<td align="center">1 (33.3)</td>
<td align="char" char=".">0.095</td>
</tr>
<tr>
<td align="center">AB</td>
<td align="center">7 (53.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">atypical A/AB</td>
<td align="center">4 (30.8)</td>
<td align="center">1 (33.3)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">0 (0.0)</td>
<td align="center">1 (33.3)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">4 (30.8)</td>
<td align="center">1 (33.3)</td>
<td align="char" char=".">0.750</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">4 (30.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">5 (38.5)</td>
<td align="center">2 (66.7)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)</td>
<td align="center">WT</td>
<td align="center">3 (23.1)</td>
<td align="center">2 (66.7)</td>
<td align="char" char=".">0.214</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">10 (76.9)</td>
<td align="center">1 (33.3)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">62.00 (58.00, 74.00)</td>
<td align="center">42.00 (32.00, 55.00)</td>
<td align="char" char=".">0.157</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The analysis of clinico-pathological factors between MG and non-MG patients (pooled German and Indian groups) showed significant differences in Masaoka-Koga stage between the two groups. Patients with MG presented at earlier stage (100% MG versus 56.2% non-MG pateints at Masaoka-Koga stage I or II; <italic>p</italic>&#x20;&#x3d; 0.0013; <xref ref-type="table" rid="T6">Table&#x20;6</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Contingency table of clinico-pathological factors between patients without and with MG in both cohorts.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">No MG</th>
<th align="center">MG</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">16</td>
<td align="center">26</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">5 (31.2)</td>
<td align="center">14 (53.8)</td>
<td align="char" char=".">0.2077</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">11 (68.8)</td>
<td align="center">12 (46.2)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Origin (%)</td>
<td align="center">German</td>
<td align="center">13 (81.2)</td>
<td align="center">12 (46.2)</td>
<td align="char" char=".">0.0540</td>
</tr>
<tr>
<td align="center">Indian</td>
<td align="center">3 (18.8)</td>
<td align="center">14 (53.8)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">5 (31.2)</td>
<td align="center">13 (50.0)</td>
<td align="char" char=".">0.0013</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">4 (25.0)</td>
<td align="center">13 (50.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">7 (43.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Mutation status (%)</td>
<td align="center">WT</td>
<td align="center">5 (31.2)</td>
<td align="center">5 (19.2)</td>
<td align="char" char=".">0.4649</td>
</tr>
<tr>
<td align="center">L404H</td>
<td align="center">11 (68.8)</td>
<td align="center">21 (80.8)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">Histological type (%)</td>
<td align="center">A</td>
<td align="center">3 (18.8)</td>
<td align="center">6 (23.1)</td>
<td align="char" char=".">0.0251</td>
</tr>
<tr>
<td align="center">AB</td>
<td align="center">7 (43.8)</td>
<td align="center">17 (65.4)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">atypical A/AB</td>
<td align="center">5 (31.2)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">1 (6.2)</td>
<td align="center">3 (11.5)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">60.50 (56.00, 69.50)</td>
<td align="center">50.00 (42.25, 60.50)</td>
<td align="char" char=".">0.0370</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>GTF2I Mutation Status</title>
<p>Out of the 114 thymomas, 3 Indian cases were excluded from mutational studies since the extracted DNA was of insufficient quality. Overall, mutation rates were similar in both cohorts (64 vs. 65%, <italic>p</italic>&#x20;&#x3d; 1.00, age-adjusted <italic>p</italic>&#x20;&#x3d; 0.26; <xref ref-type="table" rid="T1">Table&#x20;1</xref>). As expected, in general there was a strong association between histotypes A and AB and GTF2I mutation (<italic>p</italic>&#x20;&#x3c; 0.0001; <xref ref-type="table" rid="T7">Table&#x20;7</xref>). Out of a total of 89 type A/AB thymomas (including atypical forms), 71 (79.8%) were positive for the <italic>GTF2I</italic> mutation, including 78.6% (22/28) Indian and 80% (49/61) German cases. Overall, 20.2% (18/89) of types A/AB were negative for the mutation. Among the type B thymomas, overall prevalence of the mutation was 9.1% (2/22) of which all Indian B histotypes (<italic>n</italic>&#x20;&#x3d; 6) were negative, whereas 2 of 16 (12.5%) German B thymomas were positive, hence without significant difference (<italic>p</italic>&#x20;&#x3e; 0.05). In 25 German cases with known myasthenia gravis status, the <italic>GTF2I</italic> mutation was evident in 11/12 patients with myasthenia gravis (91,7%) and 10/13&#x20;myasthenia-free patients (76,9%). Out of 14 Indian cases with MG, 10 (71.4%) showed the <italic>GTF2I</italic> mutation; 1/3 patients (33.3%) without myasthenia harboured the mutation. There was no significant association of the <italic>GTF2I</italic> mutational status with the prevalence of MG overall and in both cohorts. No mutation was found in non-thymomatous samples, including 18 thymic carcinomas. Association between origin and mutational status was not significantly different between clinical subgroups (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>).</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Contingency table of clinico-pathological factors between patients without and with GTF2I mutation in both cohorts.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Level</th>
<th align="center">WT</th>
<th align="center">L404H</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">&#x2014;</td>
<td align="center">40</td>
<td align="center">71</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender (%)</td>
<td align="center">Female</td>
<td align="center">19 (47.5)</td>
<td align="center">31 (43.7)</td>
<td align="char" char=".">0.8427</td>
</tr>
<tr>
<td align="center">Male</td>
<td align="center">21 (52.5)</td>
<td align="center">40 (56.3)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">Origin (%)</td>
<td align="center">German</td>
<td align="center">28 (70.0)</td>
<td align="center">49 (69.0)</td>
<td align="char" char=".">1.00</td>
</tr>
<tr>
<td align="center">Indian</td>
<td align="center">12 (30.0)</td>
<td align="center">22 (31.0)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="3" align="left">Masaoka-Koga stage (%)</td>
<td align="center">I</td>
<td align="center">8 (20.0)</td>
<td align="center">30 (42.3)</td>
<td align="char" char=".">0.0434</td>
</tr>
<tr>
<td align="center">II</td>
<td align="center">19 (47.5)</td>
<td align="center">28 (39.4)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="center">13 (32.5)</td>
<td align="center">13 (18.3)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="left">MG Status (%)</td>
<td align="center">No</td>
<td align="center">5 (50.0)</td>
<td align="center">11 (34.4)</td>
<td align="char" char=".">0.4649</td>
</tr>
<tr>
<td align="center">MG</td>
<td align="center">5 (50.0)</td>
<td align="center">21 (65.6)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="left">Histological type (%)</td>
<td align="center">A</td>
<td align="center">7 (17.5)</td>
<td align="center">16 (22.5)</td>
<td align="char" char=".">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">AB</td>
<td align="center">6 (15.0)</td>
<td align="center">43 (60.6)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">atypical A/AB</td>
<td align="center">7 (17.5)</td>
<td align="center">10 (14.1)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">20 (50.0)</td>
<td align="center">2 (2.8)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Age [median (IQR)]</td>
<td align="center">&#x2014;</td>
<td align="center">58.00 (41.75, 73.00)</td>
<td align="center">59.00 (50.00, 69.00)</td>
<td align="char" char=".">0.7238</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MG&#x2014;myasthenia gravis; IQR&#x2014;interquartile Range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Bar chart of mutation rates between origin in the full cohorts and in subgroups.</p>
</caption>
<graphic xlink:href="pore-27-1609858-g004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The potential impact of racial-ethnic, and environmental factors on the pathogenesis of thymoma has rarely been addressed. A study of the International Thymic Malignancy Interest Group (ITMIG) with over 4,000 thymomas from Asia, Europe and the Americas reported geographic differences for the prevalence of WHO thymoma histotypes between continents (<xref ref-type="bibr" rid="B11">11</xref>). That study did not include patients from India, i.e.,&#x20;a population with distinct heterogeneous germ line differences (<xref ref-type="bibr" rid="B12">12</xref>) and environmental features, including specific dietary habits (<xref ref-type="bibr" rid="B13">13</xref>). Thus, the present study is the first to address such differences through the comparison of Indian and German thymoma patients with regard to the prevalence of the thymoma-specific <italic>GTF2I</italic> mutation, clinical manifestation, paraneoplastic myasthenia gravis and histology. In the Indian cohort, we observed a significantly younger age at the time point of surgery, a higher prevalence of thymoma-associated MG, and a lower Masaoka-Koga (but not TNM-based) tumour stage. By contrast, gender and WHO histotype distribution, <italic>GTF2I</italic> mutation rates, and absent association between the presence of MG and <italic>GTF2I</italic> mutational status were similar in both cohorts.</p>
<p>As to the higher proportion of MG (&#x2b;) cases among the Indian thymomas compared to the German and a previous world-wide cohorts <xref ref-type="bibr" rid="B5">(5</xref>, <xref ref-type="bibr" rid="B6">6)</xref>, referral bias needs to be taken into consideration, since the 82% MG positivity rate in the Indian cohort is much higher than any other percentage reported previously in larger series <xref ref-type="bibr" rid="B14">(14</xref>, <xref ref-type="bibr" rid="B15">15)</xref>. Furthermore, striking differences of MG frequencies in cohorts from different institutions in the same country were reported in meta-analyses and thought to reflect referral bias (<xref ref-type="bibr" rid="B14">14</xref>). Referral bias also could have a bearing on the lower tumour stage observed in the Indian cohort, since MG (&#x2b;) thymomas may be detected earlier than MG (&#x2212;) thymomas through myasthenic rather than local symptoms that are typical of larger thymomas in MG (&#x2212;) patients (<xref ref-type="bibr" rid="B16">16</xref>). Indeed, also in our study, the different nature of the Indian and German institues should be taken into consideration: while Indian patients come from an institute that is super-specialized in neurosciences, the major focus of the German referral center is thymic pathology. This fact may contribute to the striking difference in MG prevalence between the two groups and should be appreciated as one of the limitations of the study. Therefore, we are reluctant to attribute the lower tumour stage in Indian patients to racial-ethnic differences. By contrast, the median age difference of 15&#xa0;years between Indian and German thymoma patients (50 versus 65&#xa0;years) is intriguing, since such a young age, for a cohort that is dominated by type A and AB thymomas is among the lowest reported to date <xref ref-type="bibr" rid="B14">(14</xref>, <xref ref-type="bibr" rid="B15">15)</xref>. However, a comparably young age was found in another Asian cohort from Korea (<xref ref-type="bibr" rid="B17">17</xref>). This observation needs validation in a larger and MG-unbiased cohort of Indian thymoma patients. If confirmed, a younger manifestation age may hint to an increased risk for thymoma and thymoma-associated MG development in Indians. In fact, the proportion of thymoma patients among MG patients was found to be higher in some Asian countries compared to Northern European countries (<xref ref-type="bibr" rid="B18">18</xref>-<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Since gender and WHO histotype distribution as well as <italic>GTF2I</italic> mutation rates were similar in the Indian and German cohort and in line with a previous world-wide study (<xref ref-type="bibr" rid="B6">6</xref>), racial-ethnic, environmental and lifestyle factors appear not to have a major impact on the molecular mechanism(s) driving the development of thymomas. A similar conclusion was recently drawn in relation to thymic squamous cell carcinomas in which age-related rather than racial-ethnic and environmental factors appear to be related to oncogenesis <xref ref-type="bibr" rid="B6">(6</xref>,&#x20;<xref ref-type="bibr" rid="B21">21)</xref>.</p>
<p>Our study has some limitations: First, different sample size of the two cohorts together with the overall low number of patients with known MG status in this retrospective analysis preclude the drawing of definite conclusions. Second, the very high prevalence of MG patients in the Indian cohort largely precludes the detection of any differences between Indian and German non-MG patients. Third, since the total mutational burden of thymomas is extremely low (<xref ref-type="bibr" rid="B6">6</xref>), the prevalence of the only common and unique mutation, <italic>GTF2I</italic>, was the sole readout to study molecular differences between Indian and German thymoma patients. Therefore, it will be interesting to see, whether multiomics analyses can still identify molecular thymoma features that segregate with racial-ethnic and environmental differences. Fourth, since the <italic>GTF2I</italic> mutation is largely restricted to type A and AB thymomas, the two patients cohorts were equally and strongly skewed towards an over-representation of these two histologies and are thus not representative regarding the histotype distribution (<xref ref-type="bibr" rid="B22">22</xref>). Therefore, future comparative studies between racially and ethnically disparate groups should comprise type B thymomas and thymic carcinomas as well. Finally, we had no information on the patients&#x2019; specific racial-ethnic and dietary settings, precluding a distinction between potential genetic and environmental reasons for the observed differences. These caveats underline the necessity of comprehensive molecular and epidemiological studies of larger and more representative cohorts of Indian and German thymoma patients to identify genetic and environmental risk factors for the development of thymomas and their complications.</p>
<p>In summary, comparing rather unique cohorts of Indian and German thymoma patients, we could not identify significant differences regarding WHO histological types, gender and <italic>GTF2I</italic> mutation status, implying that there are no differences in molecular pathogenesis of thymoma between the two countries. Nonetheless, the significantly younger age of Indian thymoma patients is a first hint that genetic or environmental factors could contribute to the timing and overall risk of thymoma development.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/genbank/">https://www.ncbi.nlm.nih.gov/genbank/</ext-link>, BankIt2452830 GTF2I MZ015743.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethic Committee of the University Medical Centre Mannheim, University of Heidelberg and All India Institute of Medical Sciences, New Delhi Institution Ethics Committee. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>DJ, AM, and ZP initiated and designed the study and wrote the manuscript. PG helped in writing the manuscript and collating data. VS helped in mutation analysis. TH analysed data and provided critical feedback. RP, SK, KK, GO, GP, and SS contributed clinical data. TG, SP, CS, SS, and PS participated in data interpretation. All authors helped shape the manuscript and approved the final version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>We acknowledge financial support by the Open Access Publishing Fund of Ruprecht-Karls-Universit&#x00E4;t Heidelberg.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.por-journal.com/articles/10.3389/pore.2021.1609858/full#supplementary-material">https://www.por-journal.com/articles/10.3389/pore.2021.1609858/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.TIF" id="SM1" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Travis</surname>
<given-names>WD</given-names>
</name>
<name>
<surname>Brambilla</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Nicholson</surname>
<given-names>AG</given-names>
</name>
<name>
<surname>Yatabe</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Austin</surname>
<given-names>JHM</given-names>
</name>
<name>
<surname>Beasley</surname>
<given-names>MB</given-names>
</name>
<etal/>
</person-group> <article-title>The 2015 World Health Organization Classification of Lung Tumors</article-title>. <source>J&#x20;Thorac Oncol</source> (<year>2015</year>) <volume>10</volume>(<issue>9</issue>):<fpage>1243</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1097/jto.0000000000000630</pub-id> </citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Badve</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Goswami</surname>
<given-names>C</given-names>
</name>
<name>
<surname>G&#xf6;kmen&#x2013;Polar</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Nelson</surname>
<given-names>RP</given-names>
</name>
<name>
<surname>Henley</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Miller</surname>
<given-names>N</given-names>
</name>
<etal/>
</person-group> <article-title>Molecular Analysis of Thymoma</article-title>. <source>PLoS One</source> (<year>2012</year>) <volume>7</volume>(<issue>8</issue>):<fpage>e42669</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0042669</pub-id> </citation>
</ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Enkner</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Pichlh&#xf6;fer</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Zaharie</surname>
<given-names>AT</given-names>
</name>
<name>
<surname>Krunic</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Holper</surname>
<given-names>TM</given-names>
</name>
<name>
<surname>Janik</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>Molecular Profiling of Thymoma and Thymic Carcinoma: Genetic Differences and Potential Novel Therapeutic Targets</article-title>. <source>Pathol Oncol Res</source> (<year>2017</year>) <volume>23</volume>(<issue>3</issue>):<fpage>551</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1007/s12253-016-0144-8</pub-id> </citation>
</ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Girard</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Zakowski</surname>
<given-names>MF</given-names>
</name>
<name>
<surname>Heguy</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Riely</surname>
<given-names>GJ</given-names>
</name>
<etal/>
</person-group> <article-title>Comprehensive Genomic Analysis Reveals Clinically Relevant Molecular Distinctions between Thymic Carcinomas and Thymomas</article-title>. <source>Clin Cancer Res</source> (<year>2009</year>) <volume>15</volume>(<issue>22</issue>):<fpage>6790</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1158/1078-0432.ccr-09-0644</pub-id> </citation>
</ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname>
<given-names>H-S</given-names>
</name>
<name>
<surname>Jang</surname>
<given-names>H-J</given-names>
</name>
<name>
<surname>Shah</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Yoon</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Hamaji</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wald</surname>
<given-names>O</given-names>
</name>
<etal/>
</person-group> <article-title>Genomic Analysis of Thymic Epithelial Tumors Identifies Novel Subtypes Associated with Distinct Clinical Features</article-title>. <source>Clin Cancer Res</source> (<year>2017</year>) <volume>23</volume>(<issue>16</issue>):<fpage>4855</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1158/1078-0432.ccr-17-0066</pub-id> </citation>
</ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Radovich</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Pickering</surname>
<given-names>CR</given-names>
</name>
<name>
<surname>Felau</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Ha</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Jo</surname>
<given-names>H</given-names>
</name>
<etal/>
</person-group> <article-title>The Integrated Genomic Landscape of Thymic Epithelial Tumors</article-title>. <source>Cancer Cell</source> (<year>2018</year>) <volume>33</volume>(<issue>2</issue>):<fpage>244</fpage>&#x2013;<lpage>e10</lpage>. <pub-id pub-id-type="doi">10.1016/j.ccell.2018.01.003</pub-id> </citation>
</ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Rao</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<etal/>
</person-group> <article-title>GTF2I Mutation Frequently Occurs in More Indolent Thymic Epithelial Tumors and Predicts Better Prognosis</article-title>. <source>Lung Cancer</source> (<year>2017</year>) <volume>110</volume>:<fpage>48</fpage>&#x2013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1016/j.lungcan.2017.05.020</pub-id> </citation>
</ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Petrini</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Meltzer</surname>
<given-names>PS</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>I-K</given-names>
</name>
<name>
<surname>Lucchi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>K-S</given-names>
</name>
<name>
<surname>Fontanini</surname>
<given-names>G</given-names>
</name>
<etal/>
</person-group> <article-title>A Specific Missense Mutation in GTF2I Occurs at High Frequency in Thymic Epithelial Tumors</article-title>. <source>Nat Genet</source> (<year>2014</year>) <volume>46</volume>(<issue>8</issue>):<fpage>844</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1038/ng.3016</pub-id> </citation>
</ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Detterbeck</surname>
<given-names>FC</given-names>
</name>
<name>
<surname>Nicholson</surname>
<given-names>AG</given-names>
</name>
<name>
<surname>Kondo</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Van Schil</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Moran</surname>
<given-names>C</given-names>
</name>
</person-group>. <article-title>The Masaoka-Koga Stage Classification for Thymic Malignancies: Clarification and&#x20;Definition of Terms</article-title>. <source>J&#x20;Thorac Oncol</source> (<year>2011</year>) <volume>6</volume>(<issue>7 Suppl. 3</issue>):<fpage>S1710</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1097/JTO.0b013e31821e8cff</pub-id> </citation>
</ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Porubsky</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Popovic</surname>
<given-names>ZV</given-names>
</name>
<name>
<surname>Badve</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Banz</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Berezowska</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Borchert</surname>
<given-names>D</given-names>
</name>
<etal/>
</person-group> <article-title>Thymic Hyperplasia with Lymphoepithelial Sialadenitis (LESA)-Like Features: Strong Association with Lymphomas and Non-myasthenic Autoimmune Diseases</article-title>. <source>Cancers (Basel)</source> (<year>2021</year>) <volume>13</volume>(<issue>2</issue>). <pub-id pub-id-type="doi">10.3390/cancers13020315</pub-id> </citation>
</ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weis</surname>
<given-names>C-A</given-names>
</name>
<name>
<surname>Yao</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Deng</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Detterbeck</surname>
<given-names>FC</given-names>
</name>
<name>
<surname>Marino</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Nicholson</surname>
<given-names>AG</given-names>
</name>
<etal/>
</person-group> <article-title>The Impact of Thymoma Histotype on Prognosis in a Worldwide Database</article-title>. <source>J&#x20;Thorac Oncol</source> (<year>2015</year>) <volume>10</volume>(<issue>2</issue>):<fpage>367</fpage>&#x2013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1097/jto.0000000000000393</pub-id> </citation>
</ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reich</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Thangaraj</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Patterson</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Price</surname>
<given-names>AL</given-names>
</name>
<name>
<surname>Singh</surname>
<given-names>L</given-names>
</name>
</person-group>. <article-title>Reconstructing Indian Population History</article-title>. <source>Nature</source> (<year>2009</year>) <volume>461</volume>(<issue>7263</issue>):<fpage>489</fpage>&#x2013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1038/nature08365</pub-id> </citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bhupathiraju</surname>
<given-names>SN</given-names>
</name>
<name>
<surname>Guasch-Ferr&#xe9;</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Gadgil</surname>
<given-names>MD</given-names>
</name>
<name>
<surname>Newgard</surname>
<given-names>CB</given-names>
</name>
<name>
<surname>Bain</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Muehlbauer</surname>
<given-names>MJ</given-names>
</name>
<etal/>
</person-group> <article-title>Dietary Patterns Among Asian Indians Living in the United&#x20;States Have Distinct Metabolomic Profiles that Are Associated with Cardiometabolic Risk</article-title>. <source>J&#x20;Nutr</source> (<year>2018</year>) <volume>148</volume>(<issue>7</issue>):<fpage>1150</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1093/jn/nxy074</pub-id> </citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Detterbeck</surname>
<given-names>FC</given-names>
</name>
</person-group>. <article-title>Clinical Value of the WHO Classification System of Thymoma</article-title>. <source>Ann Thorac Surg</source> (<year>2006</year>) <volume>81</volume>(<issue>6</issue>):<fpage>2328</fpage>&#x2013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.1016/j.athoracsur.2005.11.067</pub-id> </citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruffini</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Guerrera</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Brunelli</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Passani</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Pellicano</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>P</given-names>
</name>
<etal/>
</person-group> <article-title>Report from the European Society of Thoracic Surgeons Prospective Thymic Database 2017: a Powerful Resource for a Collaborative Global Effort to Manage Thymic Tumours</article-title>. <source>Eur J&#x20;Cardiothorac Surg</source> (<year>2019</year>) <volume>55</volume>(<issue>4</issue>):<fpage>601</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1093/ejcts/ezy448</pub-id> </citation>
</ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Str&#xf6;bel</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Bauer</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Puppe</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Kraushaar</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Krein</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Toyka</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>Tumor Recurrence and Survival in Patients Treated for Thymomas and Thymic Squamous Cell Carcinomas: a Retrospective Analysis</article-title>. <source>Jco</source> (<year>2004</year>) <volume>22</volume>(<issue>8</issue>):<fpage>1501</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1200/jco.2004.10.113</pub-id> </citation>
</ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>DJ</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>WI</given-names>
</name>
<name>
<surname>Choi</surname>
<given-names>SS</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>KD</given-names>
</name>
<name>
<surname>Chung</surname>
<given-names>KY</given-names>
</name>
</person-group>. <article-title>Prognostic and Clinical Relevance of the World Health Organization Schema for the Classification of Thymic Epithelial Tumors</article-title>. <source>Chest</source> (<year>2005</year>) <volume>127</volume>(<issue>3</issue>):<fpage>755</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1378/chest.127.3.755</pub-id> </citation>
</ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Boldingh</surname>
<given-names>MI</given-names>
</name>
<name>
<surname>Maniaol</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Brunborg</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Dekker</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Lipka</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Niks</surname>
<given-names>EH</given-names>
</name>
<etal/>
</person-group> <article-title>Prevalence and Clinical Aspects of Immigrants with Myasthenia Gravis in Northern Europe</article-title>. <source>Muscle Nerve</source> (<year>2017</year>) <volume>55</volume>(<issue>6</issue>):<fpage>819</fpage>&#x2013;<lpage>27</lpage>. <pub-id pub-id-type="doi">10.1002/mus.25408</pub-id> </citation>
</ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>WB</given-names>
</name>
<name>
<surname>Men</surname>
<given-names>LN</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>HY</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>CM</given-names>
</name>
<etal/>
</person-group> <article-title>Clinical Features of Myasthenia Gravis in Southern China: a Retrospective Review of 2,154 Cases over 22&#x20;Years</article-title>. <source>Neurol Sci</source> (<year>2013</year>) <volume>34</volume>(<issue>6</issue>):<fpage>911</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1007/s10072-012-1157-z</pub-id> </citation>
</ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Murai</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Yamashita</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Watanabe</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Nomura</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Motomura</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Yoshikawa</surname>
<given-names>H</given-names>
</name>
<etal/>
</person-group> <article-title>Characteristics of Myasthenia Gravis According to Onset-Age: Japanese Nationwide Survey</article-title>. <source>J&#x20;Neurol Sci</source> (<year>2011</year>) <volume>305</volume>(<issue>1-2</issue>):<fpage>97</fpage>&#x2013;<lpage>102</lpage>. <pub-id pub-id-type="doi">10.1016/j.jns.2011.03.004</pub-id> </citation>
</ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamada</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Simon-Keller</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Belharazem-Vitacolonnna</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Bohnenberger</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Kriegsmann</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kriegsmann</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>A Tuft Cell-like Signature Is Highly Prevalent in Thymic Squamous Cell Carcinoma and Delineates New Molecular Subsets Among the Major Lung Cancer Histotypes</article-title>. <source>J&#x20;Thorac Oncol</source> (<year>2021</year>). <pub-id pub-id-type="doi">10.1016/j.jtho.2021.02.008</pub-id> </citation>
</ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guleria</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Parshad</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Malik</surname>
<given-names>PS</given-names>
</name>
<name>
<surname>Ray</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Pandey</surname>
<given-names>RM</given-names>
</name>
<name>
<surname>Jain</surname>
<given-names>D</given-names>
</name>
</person-group>. <article-title>Histotyping of Indian Thymomas: A Clinicopathologic Study from north India</article-title>. <source>Indian J&#x20;Med Res</source> (<year>2019</year>) <volume>150</volume>(<issue>2</issue>):<fpage>153</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.4103/ijmr.IJMR_530_18</pub-id> </citation>
</ref>
</ref-list>
</back>
</article>