Comprehensive identification of mutational cancer driver genes across 12 tumor types.

Sci Rep
Authors
Keywords
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.

Year of Publication
2013
Journal
Sci Rep
Volume
3
Pages
2650
Date Published
2013 Oct 02
ISSN
2045-2322
URL
DOI
10.1038/srep02650
PubMed ID
24084849
PubMed Central ID
PMC3788361
Links
Grant list
P41 GM103504 / GM / NIGMS NIH HHS / United States
U01 HG006517 / HG / NHGRI NIH HHS / United States
U54 HG003079 / HG / NHGRI NIH HHS / United States