Microarray Data Mining for Potential Selenium Targets in Chemoprevention of Prostate Cancer.

ABSTRACT: BACKGROUND: A previous clinical trial showed that selenium supplementation significantly reduced the incidence of prostate cancer. We report here a bioinformatics approach to gain new insights into selenium molecular targets that might be relevant to prostate cancer chemoprevention. MATERIALS AND METHODS: We first performed data mining analysis to identify genes which are consistently dysregulated in prostate cancer using published datasets from gene expression profiling of clinical prostate specimens. We then devised a method to systematically analyze three selenium microarray datasets from the LNCaP human prostate cancer cells, and to match the analysis to the cohort of genes implicated in prostate carcinogenesis. Moreover, we compared the selenium datasets with two datasets obtained fro

SUBMITTER: Zhang H 

PROVIDER: S-EPMC2424238 | biostudies-literature | 2005 Apr

REPOSITORIES: biostudies-literature