Identifying grade/stage-related active modules in human co-regulatory networks: a case study for breast cancer.

ABSTRACT: The histological grade/stage of tumor is widely acknowledged as an important clinical prognostic factor for cancer progression. Recent experimental studies have explored the following two topics at the molecular level: (1) whether or not gene expression levels vary by different degrees among different tumor grades/stages, and (2) whether some well-defined modules could distinguish one grade/stage from another. In this article, using breast cancer as an example, we investigated this topic and identified grade/stage-related active modules under the framework of a weighted network integrated from a human protein interaction network and a transcriptional regulatory network. Our results enabled us to draw the conclusion that the gene expression profile could provide more clues about tumor grade

SUBMITTER: Feng C 

PROVIDER: S-EPMC3521147 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature