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Comprehensive identification of mutational cancer driver genes across 12 tumor types
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 computa...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788361/ https://www.ncbi.nlm.nih.gov/pubmed/24084849 http://dx.doi.org/10.1038/srep02650 |
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author | Tamborero, David Gonzalez-Perez, Abel Perez-Llamas, Christian Deu-Pons, Jordi Kandoth, Cyriac Reimand, Jüri Lawrence, Michael S. Getz, Gad Bader, Gary D. Ding, Li Lopez-Bigas, Nuria |
author_facet | Tamborero, David Gonzalez-Perez, Abel Perez-Llamas, Christian Deu-Pons, Jordi Kandoth, Cyriac Reimand, Jüri Lawrence, Michael S. Getz, Gad Bader, Gary D. Ding, Li Lopez-Bigas, Nuria |
author_sort | Tamborero, David |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3788361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37883612013-10-18 Comprehensive identification of mutational cancer driver genes across 12 tumor types Tamborero, David Gonzalez-Perez, Abel Perez-Llamas, Christian Deu-Pons, Jordi Kandoth, Cyriac Reimand, Jüri Lawrence, Michael S. Getz, Gad Bader, Gary D. Ding, Li Lopez-Bigas, Nuria Sci Rep Article 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. Nature Publishing Group 2013-10-02 /pmc/articles/PMC3788361/ /pubmed/24084849 http://dx.doi.org/10.1038/srep02650 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Article Tamborero, David Gonzalez-Perez, Abel Perez-Llamas, Christian Deu-Pons, Jordi Kandoth, Cyriac Reimand, Jüri Lawrence, Michael S. Getz, Gad Bader, Gary D. Ding, Li Lopez-Bigas, Nuria Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title | Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title_full | Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title_fullStr | Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title_full_unstemmed | Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title_short | Comprehensive identification of mutational cancer driver genes across 12 tumor types |
title_sort | comprehensive identification of mutational cancer driver genes across 12 tumor types |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788361/ https://www.ncbi.nlm.nih.gov/pubmed/24084849 http://dx.doi.org/10.1038/srep02650 |
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