Microarray data mining for potential selenium targets in chemoprevention of prostate cancer

Haitao Zhang, Yan Dong, Hongjuan Zhao, James D. Brooks, Lesleyann Hawthorn, Norma Nowak, James R. Marshall, Allen C Gao, Clement Ip

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


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 from expression profiling of androgen-stimulated LNCaP cells. Results: We found that selenium reverses the expression of genes implicated in prostate carcinogenesis. In addition, we found that selenium could counteract the effect ofandrogen on the expression of a subset obtained from androgen-regulated genes. Conclusions: The above information provides us with a treasure of new clues to investigate the mechanism of selenium chemoprevention of prostate cancer. Furthermore, these selenium target genes could also serve as biomarkers in future clinical trials to gauge the efficacy of selenium intervention.

Original languageEnglish (US)
Pages (from-to)97-113
Number of pages17
JournalCancer Genomics and Proteomics
Issue number2
StatePublished - Mar 2005
Externally publishedYes


  • Androgen receptor
  • Chemoprevention
  • Prostate carcinogenesis
  • Selenium

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology
  • Cancer Research
  • Biochemistry


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