Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data.

ABSTRACT:

Background

The genetic mechanisms of prostate tumorigenesis remain poorly understood, but with the advent of gene expression array capabilities, we can now produce a large amount of data that can be used to explore the molecular and genetic mechanisms of prostate tumorigenesis.

Methods

We conducted a meta-analysis of gene expression data from 18 gene array datasets targeting transition from normal to localized prostate cancer and from localized to metastatic prostate cancer. We functionally annotated the top 500 differentially expressed genes and identified several candidate pathways associated with prostate tumorigeneses.

Results

We found the top differentially expressed genes to be clustered in pathways involving integrin-based cell adhesion: integrin signaling, the

SUBMITTER: Gorlov IP 

PROVIDER: S-EPMC2731785 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature