Integrated analysis of recurrent properties of cancer genes to identify novel drivers

TY - JOUR

T1 - Integrated analysis of recurrent properties of cancer genes to identify novel drivers

AU - D'Antonio, Matteo

AU - Ciccarelli, Francesca D

PY - 2013

Y1 - 2013

N2 - The heterogeneity of cancer genomes in terms of acquired mutations complicates the identification of genes whose modification may exert a driver role in tumorigenesis. In this study, we present a novel method that integrates expression profiles, mutation effects, and systemic properties of mutated genes to identify novel cancer drivers. We applied our method to ovarian cancer samples and were able to identify putative drivers in the majority of carcinomas without mutations in known cancer genes, thus suggesting that it can be used as a complementary approach to find rare driver mutations that cannot be detected using frequency-based approaches.

AB - The heterogeneity of cancer genomes in terms of acquired mutations complicates the identification of genes whose modification may exert a driver role in tumorigenesis. In this study, we present a novel method that integrates expression profiles, mutation effects, and systemic properties of mutated genes to identify novel cancer drivers. We applied our method to ovarian cancer samples and were able to identify putative drivers in the majority of carcinomas without mutations in known cancer genes, thus suggesting that it can be used as a complementary approach to find rare driver mutations that cannot be detected using frequency-based approaches.

U2 - 10.1186/gb-2013-14-5-r52

DO - 10.1186/gb-2013-14-5-r52

M3 - Article

C2 - 23718799

SN - 1465-6906

VL - 14

JO - GENOME BIOLOGY

JF - GENOME BIOLOGY

IS - 5

M1 - R52

ER -