Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer.

ABSTRACT:

Background

Breast cancer is a highly heterogeneous disease with respect to molecular alterations and cellular composition making therapeutic and clinical outcome unpredictable. This diversity creates a significant challenge in developing tumor classifications that are clinically reliable with respect to prognosis prediction.

Results

This paper describes an unsupervised context analysis to infer context-specific gene regulatory networks from 1,614 samples obtained from publicly available gene expression data, an extension of a previously published methodology. We use the context-specific gene regulatory networks to classify the tumors into clinically relevant subgroups, and provide candidates for a finer sub-grouping of the previously known intrinsic tumors with a focus on Ba

SUBMITTER: Nasser S 

PROVIDER: S-EPMC3073183 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature