Exome analysis reveals differentially mutated gene signatures of stage, grade and subtype in breast cancers.

ABSTRACT: Breast cancers exhibit highly heterogeneous molecular profiles. Although gene expression profiles have been used to predict the risks and prognostic outcomes of breast cancers, the high variability of gene expression limits its clinical application. In contrast, genetic mutation profiles would be more advantageous than gene expression profiles because genetic mutations can be stably detected and the mutational heterogeneity widely exists in breast cancer genomes. We analyzed 98 breast cancer whole exome samples that were sorted into three subtypes, two grades and two stages. The sum deleterious effect of all mutations in each gene was scored to identify differentially mutated genes (DMGs) for this case-control study. DMGs were corroborated using extensive published knowledge. Functional co

SUBMITTER: Li Y 

PROVIDER: S-EPMC4372331 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature