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

Genome Biology

Francesca D Ciccarelli¹  Matteo D'Antonio¹ 

[1] Department of Experimental Oncology, European Institute of Oncology, IFOM-IEO Campus, Via Adamello 16, 20139 Milan, Italy

关键词: gene expression;    gene origin;    gene duplication;    interaction network;    cancer genetic heterogeneity;    Driver mutations;   

Others  :  1136522
DOI  :  10.1186/gb-2013-14-5-r52

 received in 2012-12-19, accepted in 2013-05-29,  发布年份 2013

【 摘 要 】

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.

【 授权许可】

   
2013 D'Antonio and Ciccarelli.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

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