Breast tumor subgroups reveal diverse clinical prognostic power.

ABSTRACT: Predicting the outcome of cancer therapies using molecular features and clinical observations is a key goal of cancer biology, which has been addressed comprehensively using whole patient datasets without considering the effect of tumor heterogeneity. We hypothesized that molecular features and clinical observations have different prognostic abilities for different cancer subtypes, and made a systematic study using both clinical observations and gene expression data. This analysis revealed that (1) gene expression profiles and clinical features show different prognostic power for the five breast cancer subtypes; (2) gene expression data of the normal-like subgroup contains more valuable prognostic information and survival associated contexts than the other subtypes, and the patient surviva

SUBMITTER: Liu Z 

PROVIDER: S-EPMC5379255 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature