期刊
GENOME BIOLOGY
卷 14, 期 5, 页码 -出版社
BMC
DOI: 10.1186/gb-2013-14-5-r52
关键词
Driver mutations; cancer genetic heterogeneity; interaction network; gene duplication; gene origin; gene expression
资金
- Italian Association for Cancer Research [AIRC-IG 12742]
- 'Giovani Ricercatori' Grant of the Italian Ministry of Health
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据