Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes.

ABSTRACT: BACKGROUND:It is well recognized that accumulation of somatic mutations in cancer genomes plays a role in carcinogenesis; however, the temporal sequence and evolutionary relationship of somatic mutations remain largely unknown. METHODS:In this study, we built a population-based statistical framework to infer the temporal sequence of acquisition of somatic mutations. Using the model, we analyzed the mutation profiles of 1954 tumor specimens across eight tumor types. RESULTS:As a result, we identified tumor type-specific directed networks composed of 2-15 cancer-related genes (nodes) and their mutational orders (edges). The most common ancestors identified in pairwise comparison of somatic mutations were TP53 mutations in breast, head/neck, and lung cancers. The known relationship of KRAS to

SUBMITTER: Rhee JK 

PROVIDER: S-EPMC5918460 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature