Systems biology approach to studying proliferation-dependent prognostic subnetworks in breast cancer.

ABSTRACT: Tumor proliferative capacity is a major biological correlate of breast tumor metastatic potential. In this paper, we developed a systems approach to investigate associations among gene expression patterns, representative protein-protein interactions, and the potential for clinical metastases, to uncover novel survival-related subnetwork signatures as a function of tumor proliferative potential. Based on the statistical associations between gene expression patterns and patient outcomes, we identified three groups of survival prognostic subnetwork signatures (SPNs) corresponding to three proliferation levels. We discovered 8 SPNs in the high proliferation group, 8 SPNs in the intermediate proliferation group, and 6 SPNs in the low proliferation group. We observed little overlap of SPNs betwe

SUBMITTER: Song Q 

PROVIDER: S-EPMC4530341 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature