Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.

ABSTRACT:

Motivation

Cancer is a complex disease, triggered by mutations in multiple genes and pathways. There is a growing interest in the application of systems biology approaches to analyze various types of cancer-related data to understand the overwhelming complexity of changes induced by the disease.

Results

We reconstructed a regulatory module network using gene expression, microRNA expression and a clinical parameter, all measured in lymphoblastoid cell lines derived from patients having aggressive or non-aggressive forms of prostate cancer. Our analysis identified several modules enriched in cell cycle-related genes as well as novel functional categories that might be linked to prostate cancer. Almost one-third of the regulators predicted to control the expression levels of th

SUBMITTER: Bonnet E 

PROVIDER: S-EPMC2935430 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature