https://m2.mtmt.hu/ hun 2026-05-01 21:56 JournalArticle 1436956 VALIDATED true 0 2018-10-02T08:54:25.000+0000 false 1436956 2026-04-23T01:06:55.678+0000 2024-12-06T17:13:06.350+0000 2011-02-08T14:56:51.000+0000 true 10000109 Győrffy Balázs /api/author/10000109 Author true 10000109 2022-11-30T12:03:55.509+0000 2022-11-30T12:03:55.509+0000 2024-12-06T17:13:06.876+0000 true 10039043 Milánkovics Róbert /api/admin/10039043 Admin true 10039043 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 Győrffy, B An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients true true /api/journal/799 REVIEWED true false 799 false 799 true 0167-6806 1573-7217 Journal FOREIGN 123 3 725 731 725 7 2010 Validating prognostic or predictive candidate genes in appropriately powered breast cancer cohorts are of utmost interest. Our aim was to develop an online tool to draw survival plots, which can be used to assess the relevance of the expression levels of various genes on the clinical outcome both in untreated and treated breast cancer patients. A background database was established using gene expression data and survival information of 1,809 patients downloaded from GEO (Affymetrix HGU133A and HGU133+2 microarrays). The median relapse free survival is 6.43 years, 968/1,231 patients are estrogen-receptor (ER) positive, and 190/1,369 are lymph-node positive. After quality control and normalization only probes present on both Affymetrix platforms were retained (n = 22,277). In order to analyze the prognostic value of a particular gene, the cohorts are divided into two groups according to the median (or upper/lower quartile) expression of the gene. The two groups can be compared in terms of relapse free survival, overall survival, and distant metastasis free survival. A survival curve is displayed, and the hazard ratio with 95% confidence intervals and logrank P value are calculated and displayed. Additionally, three subgroups of patients can be assessed: systematically untreated patients, endocrine-treated ER positive patients, and patients with a distribution of clinical characteristics representative of those seen in general clinical practice in the US. Web address: www.kmplot.com . We used this integrative data analysis tool to confirm the prognostic power of the proliferation-related genes TOP2A and TOP2B, MKI67, CCND2, CCND3, CCNDE2, as well as CDKN1A, and TK2. We also validated the capability of microarrays to determine estrogen receptor status in 1,231 patients. The tool is highly valuable for the preliminary assessment of biomarkers, especially for research groups with limited bioinformatic resources. 2011 true true true false true false RESTRICTED 2026-04-23 false 2407 0 2394 2306 79 2386 2340 2328 2301 2388 2388 2301 2301 2319 88 0 2407 2319 2394 2306 0 2 2 Folyóiratcikk Journal Article 24 2378 Könyvrészlet Chapter in Book 25 15 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 1 Disszertáció Thesis 28 12 Egyéb Miscellaneous 29 1 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 2010 0 2 2 2 2 2011 0 21 20 21 20 2012 0 32 26 32 26 2013 0 53 47 53 47 2014 0 92 90 92 90 2015 0 120 114 120 114 2016 0 171 165 171 165 2017 0 189 185 189 185 2018 0 233 226 233 226 2019 0 289 275 289 275 2020 0 333 325 333 325 2021 0 363 346 363 346 2022 0 248 243 248 243 2023 0 117 116 117 116 2024 0 85 82 85 82 2025 0 53 51 53 51 2026 0 6 6 6 6 D1 false false false false 2017-11-24T12:30:46.000+0000 2012-11-10T02:53:23.000+0000 I. Sz. 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0.041666668 false false Budczies J true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 11726490 true PersonAuthorship 1332114 /api/authorship/1332114 6 0.041666668 false false Li Q true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 11726489 true PersonAuthorship 1332115 /api/authorship/1332115 7 0.041666668 false true Author 10068108 /api/author/10068108 Szállási Zoltán true true Szállási Z true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 11726488 true PublicationIdentifier 332974 /api/publicationidentifier/332974 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true false IDENTICAL 10.1007/s10549-009-0674-9 https://doi.org/10.1007/s10549-009-0674-9 false 185581 true PublicationIdentifier 332976 /api/publicationidentifier/332976 SwordSource 84 /api/publicationsource/84 PublicationSourceType 10007 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(<span class="authorship-author-name">Győrffy Balázs</span> <span class="authorAux-mtmt"> Onkológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/I. Sz. Gyermekgyógyászati Klinika</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10073052"><a href="/gui2/?type=authors&mode=browse&sel=10073052" target="_blank">Lánczky András (<span class="authorship-author-name">Lánczky András</span> <span class="authorAux-mtmt"> bioinformatika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/I. Sz. Gyermekgyógyászati Klinika</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Eklund AC </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Denkert C </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Budczies J </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Li Q </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10068108"><a href="/gui2/?type=authors&mode=browse&sel=10068108" target="_blank">Szállási Z (<span class="authorship-author-name">Szállási Zoltán</span> <span class="authorAux-mtmt"> Onkológia, daganatkutatás</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;1436956" target="_blank">An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients</a></div> <div> <span class="journal-title">BREAST CANCER RESEARCH AND TREATMENT</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0167-6806">0167-6806</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1573-7217">1573-7217</a>)</span>: <span class="journal-volume">123</span> <span class="journal-issue">3</span> <span class="page"> pp 725-731 </span> <span class="year">(2010)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/s10549-009-0674-9" target="_blank" href="https://doi.org/10.1007/s10549-009-0674-9"> DOI </a> </span> <span class="id identifier oa_RESTRICTED" title=" Korlátozott "> <a style="color:blue" title="6268" target="_blank" href="https://repo.lib.semmelweis.hu/handle/123456789/6268"> SE Repozitórium </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000281900000011" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000281900000011"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="79151483638" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-79151483638"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="20020197" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=20020197&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Oncology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cancer Research&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 2,407</span> | Független: 2,319 | Függő: 88 | Nem jelölt: 0 | WoS jelölt: 2,328 | Scopus jelölt:&nbsp;2,301 | WoS/Scopus jelölt:&nbsp;2,388 | DOI jelölt:&nbsp;2,340 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;1436956&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 2 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 1436956</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="oldId">Régi azonosító: 1436956</span> | Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">MEDLINE</span> </div> <div class="lastModified">Utolsó módosítás: 2024.12.06. 18:13 Milánkovics Róbert (PTE ÁOK admin 4) </div> </div></div>