MUFFINN: cancer gene discovery via network analysis of somatic mutation data

作者：Cho Ara; Shim Jung Eun; Kim Eiru; Supek Fran; Lehner Ben; Lee Insuk

来源：Genome Biology, 2016, 17(1): 129.

DOI：10.1186/s13059-016-0989-x

• Cancer gene prediction
• Cancer somatic mutation
• Cancer genomes
• Mutation frequency
• Functional gene network
• Pathway-centric analysis

A major challenge for distinguishing cancer-causing driver mutations from inconsequential passenger mutations is the long-tail of infrequently mutated genes in cancer genomes. Here, we present and evaluate a method for prioritizing cancer genes accounting not only for mutations in individual genes but also in their neighbors in functional networks, MUFFINN (MUtations For Functional Impact on Network Neighbors). This pathway-centric method shows high sensitivity compared with gene-centric analyses of mutation data. Notably, only a marginal decrease in performance is observed when using 10 % of TCGA patient samples, suggesting the method may potentiate cancer genome projects with small patient populations.

• 出版日期2016-6-23