Genome-wide characterization of gene expression variations and DNA copy number changes in prostate cancer cell lines

Hongjuan Zhao, Young Kim, Pei Wang, Jacques Lapointe, Rob Tibshirani, Jonathan R. Pollack, James D. Brooks

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

BACKGROUND. The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS. Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). RESULTS. There were discrete differences in gene expression patterns between AS and AI cells that were not limited to androgen-responsive genes. AI cells displayed more DNA copy number changes, especially amplifications, than AS cells. The gene expression profiles of cell lines showed limited similarities to prostate tumors harvested at surgery. CONCLUSIONS. AS and AI cell lines are different in their transcriptional programs and degree of DNA copy number alterations. This dataset provides a context for the use of prostate cancer cell lines as models for clinical cancers.

Original languageEnglish
Pages (from-to)187-197
Number of pages11
JournalProstate
Volume63
Issue number2
DOIs
StatePublished - 1 May 2005
Externally publishedYes

Keywords

  • Androgen
  • Metastasis
  • Microarray
  • Prostate cancer cell lines
  • Tumor subtypes
  • aCGH

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