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Comprehensive identification of mutational cancer driver genes across 12 tumor types

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dc.contributor.author Tamborero Noguera, David
dc.contributor.author González-Pérez, Abel
dc.contributor.author Pérez Llamas, Christian, 1976-
dc.contributor.author Déu Pons, Jordi
dc.contributor.author Kandoth, Cyriac
dc.contributor.author Reimand, Jüri
dc.contributor.author Lawrence, Michael S.
dc.contributor.author Getz, Gad
dc.contributor.author Bader, Gary D.
dc.contributor.author Ding, Li
dc.contributor.author López Bigas, Núria
dc.date.accessioned 2015-06-19T07:19:12Z
dc.date.available 2015-06-19T07:19:12Z
dc.date.issued 2013
dc.identifier.citation Tamborero D, González-Párez A, Pérez-Llamas C, Deu-Pons J, Kandoth C, Reimand J et al. Comprehensive identification of mutational cancer driver genes across 12 tumor types. Scientific Reports. 2013; 3: 2650. DOI 10.1038/srep02650
dc.identifier.issn 2045-2322
dc.identifier.uri http://hdl.handle.net/10230/24554
dc.description.abstract With the ability to fully sequence tumor genomes/exomes, the quest for cancer driver genes can now be undertaken in an unbiased manner. However, obtaining a complete catalog of cancer genes is difficult due to the heterogeneous molecular nature of the disease and the limitations of available computational methods. Here we show that the combination of complementary methods allows identifying a comprehensive and reliable list of cancer driver genes. We provide a list of 291 high-confidence cancer driver genes acting on 3,205 tumors from 12 different cancer types. Among those genes, some have not been previously identified as cancer drivers and 16 have clear preference to sustain mutations in one specific tumor type. The novel driver candidates complement our current picture of the emergence of these diseases. In summary, the catalog of driver genes and the methodology presented here open new avenues to better understand the mechanisms of tumorigenesis.
dc.description.sponsorship We acknowledge funding from the Spanish Ministry of Science and Technology (grant number SAF2009-06954 and SAF2012-36199) and the Spanish National Institute of Bioinformatics (INB). This work was supported by NRNB (U.S. National Institutes of Health, National Center for Research Resources grant number P41 GM103504). We gratefully acknowledge the contributions from the TCGA Research Network and its TCGA Pan-Cancer Analysis Working Group (contributing consortium members are listed in Supplementary Note 1).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Nature Publishing Group
dc.relation.ispartof Scientific Reports. 2013; 3: 2650
dc.rights © Nature Publishing Group. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject.other Transformació cel·lular
dc.subject.other Regulació genètica
dc.title Comprehensive identification of mutational cancer driver genes across 12 tumor types
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1038/srep02650
dc.subject.keyword Computational biology and bioinformatics
dc.subject.keyword Oncogenes
dc.subject.keyword Tumour suppressors
dc.subject.keyword Cancer genomics
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2009-06954
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2012-36199
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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