https://m2.mtmt.hu/ eng 2026-05-30 15:48 JournalArticle 31795915 VALIDATED true 0 false 2026-05-20T11:42:00.414+0000 2025-07-22T08:56:42.321+0000 2021-01-04T17:58:58.563+0000 true 10063867 Fekete János Tibor /api/author/10063867 Author true 10063867 2024-09-16T13:02:46.832+0000 2024-09-16T13:02:46.832+0000 2024-09-16T13:03:00.434+0000 true 10015546 Berhidi Anna /api/admin/10015546 Admin true 10015546 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Fekete, János Tibor miRNA Expression Signatures of Therapy Response in Squamous Cell Carcinomas true true /api/journal/10032813 REVIEWED true false 10032813 false 10032813 true 2072-6694 Journal FOREIGN 13 1 63 63 12 2021 Introduction: Squamous cell carcinomas (SCC) are a major subgroup of malignant tumors with a platinum-based first-line systematic chemotherapy. miRNAs play a role in various diseases and modulate therapy response as well. The aim of this study was to identify predictive miRNAs in platinum-treated SCCs. Methods: miRNA expression data of platinum-treated head and neck (HNSC), cervical (CESC) and lung (LUSC) cancer were collected from the TCGA repositories. Treatment response was defined based on presence or absence of disease progression at 18 months. Responder and nonresponder cohorts were compared using Mann–Whitney and Receiver Operating Characteristic tests. Logistic regression was developed to establish a predictive miRNA signature. Significance was set at FDR < 5%. Results: The integrated database includes 266 SCC patient samples with platinum-based therapy and available follow-up. We uncovered 16, 103, and 9 miRNAs correlated to chemotherapy response in the CESC, HNSC, and LUSC cohorts, respectively. Eight miRNAs overlapped between the CESC and HNSC subgroups, and three miRNAs overlapped between the LUSC and HNSC subgroups. We established a logistic regression model in HNSC and CESC which included six miRNAs: hsa-miR-5586 (Exp (B): 2.94, p = 0.001), hsa-miR-632 (Exp (B): 10.75, p = 0.002), hsa-miR-2355 (Exp (B): 0.48, p = 0.004), hsa-miR-642a (Exp (B): 2.22, p = 0.01), hsa-miR-101-2 (Exp (B): 0.39, p = 0.013) and hsa-miR-6728 (Exp (B): 0.21, p = 0.016). The model using these miRNAs was able to predict chemotherapy resistance with an AUC of 0.897. Conclusions: We performed an analysis of RNA-seq data of squamous cell carcinomas samples and identified significant miRNAs correlated to the response against platinum-based therapy in cervical, head and neck, and lung tumors. Funding 2014476 /api/funding/2014476 false true Funding 2014477 /api/funding/2014477 false true Funding 2014478 /api/funding/2014478 false true Funding 2014479 /api/funding/2014479 false true true NATIONAL 2021 true true true false true false GOLD 2026-05-20 true https://doi.org/10.3390/cancers13010063 12 0 12 12 0 11 11 10 12 12 12 12 12 12 0 0 12 12 12 12 0 1 1 Folyóiratcikk Journal Article 24 10 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 1 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2021 0 3 3 3 3 2022 0 1 1 1 1 2023 0 3 3 3 3 2024 0 5 5 5 5 Q1 false 10063867 false false false 2021-01-12T12:20:34.218+0000 Bioinformatika Tanszék (SE / AOK / I); II. Sz. Gyermekgyógyászati Klinika (SE / AOK / K); Onkológiai Biomarker Kutatócsoport (Lendület) (HRN TTK / MÉI) 3 26 3 3 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 94984156 /api/authorship/94984156 1 0.33333334 true false false Author 10063867 /api/author/10063867 Fekete János Tibor true 10063867 true Fekete János Tibor true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 94984157 /api/authorship/94984157 2 0.33333334 false false false Author 10100831 /api/author/10100831 Welker Ágnes true true Welker Ágnes true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 94984158 /api/authorship/94984158 3 0.333 false true true Author 10000109 /api/author/10000109 Győrffy Balázs true 10000109 true Győrffy Balázs true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 18265662 /api/publicationidentifier/18265662 PlainSource 6 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10.1111/jcmm.15488 false true Reference 2792703 /api/reference/2792703 42 10.3892/ijo.2013.2052 false true Reference 2792704 /api/reference/2792704 43 10.1158/0008-5472.CAN-08-2922 false true Reference 2792705 /api/reference/2792705 44 10.1371/journal.pone.0120046 false true Reference 2792706 /api/reference/2792706 45 10.2119/molmed.2012.00077 false true Reference 2792707 /api/reference/2792707 46 false true Reference 2792708 /api/reference/2792708 47 false true Reference 2792709 /api/reference/2792709 48 10.1038/nmeth.3252 false true Reference 2792710 /api/reference/2792710 49 10.3390/ijms20236098 false true Reference 2792711 /api/reference/2792711 50 10.1093/nar/gkv403 false true /api/publication/31795915 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10063867"><a href="/gui2/?type=authors&mode=browse&sel=10063867" target="_blank">Fekete János Tibor (<span class="authorship-author-name">Fekete János Tibor</span> <span class="authorAux-mtmt"> Prediktív biomarkerek</span>) </a> </span> <span class="author-affil"><span title="Semmelweis University">SU</span>/<span title="Faculty of Medicine">FM</span>/<span title="Clinical">C</span>/II. Department of Pediatrics; <span title="Semmelweis University">SU</span>/<span title="Faculty of Medicine">FM</span>/<span title="Instituties">I</span>/Bioinformatika Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10100831"><a href="/gui2/?type=authors&mode=browse&sel=10100831" target="_blank">Welker Ágnes (<span class="authorship-author-name">Welker Ágnes</span> <span class="authorAux-mtmt"> kognitív pszichológia</span>) </a> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10000109"><a href="/gui2/?type=authors&mode=browse&sel=10000109" target="_blank">Győrffy Balázs ✉ (<span class="authorship-author-name">Győrffy Balázs</span> <span class="authorAux-mtmt"> Onkológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis University">SU</span>/<span title="Faculty of Medicine">FM</span>/<span title="Clinical">C</span>/II. Department of Pediatrics; <span title="Research Centre for Natural Sciences">RCNS</span>/<span title="Institute of Enzymology">EI</span>/Enzim_417; <span title="Semmelweis University">SU</span>/<span title="Faculty of Medicine">FM</span>/<span title="Instituties">I</span>/Bioinformatika Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;31795915" target="_blank">miRNA Expression Signatures of Therapy Response in Squamous Cell Carcinomas</a></div> <div> <span class="journal-title">CANCERS</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2072-6694">2072-6694</a>)</span>: <span class="journal-volume">13</span> <span class="journal-issue">1</span> <span class="page"> Paper 63. 12 p. </span> <span class="year">(2021)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/cancers13010063" target="_blank" href="https://doi.org/10.3390/cancers13010063"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000605775100001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000605775100001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85098581021" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85098581021"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="33379285" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=33379285&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Oncology&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q1</div> <div class="journal-subject">Journal subject: Scopus - Cancer Research&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 12</span> | Independent citation: 12 | Self citation: 0 | Unknown citation: 0 | Number of citations in WoS: 10 | Number of citations in Scopus:&nbsp;12 | WoS/Scopus assigned:&nbsp;12 | Number of citations with DOI:&nbsp;11 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31795915&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 31795915</span> | <span class="status-data status-VALIDATED"> Validated </span> Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> (2018-2.1.17-TET-KR-00001) Funder: NKFI, (2018-1.3.1-VKE-2018-00032), (2020-4.1.1-TKP2020) Funder: NRDIO, (Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary, within the framework of the Bionic thematic programme of the Semmelweis University) </div> <div class="lastModified">Last Modified: 2025.07.22. 10:56 Ágnes Welker (kognitív pszichológia) </div> </div></div>