Integration of high-resolution array comparative genomic hybridization analysis of chromosome 16q with expression array data refines common regions of loss at 16q23-qter and identifies underlying candidate tumor suppressor genes in prostate cancer

J. E. Vivienne Watson, Norman A. Doggett, Donna G. Albertson, Armann Andaya, Arul Chinnaiyan, Herman Van Dekken, David Ginzinger, Christopher Haqq, Karen James, Sherwin Kamkar, David Kowbel, Daniel Pinkel, Lars Schmitt, Jeffry P. Simko, Stanislav Volik, Vivian K. Weinberg, Pamela L. Paris, Colin Collins

Research output: Contribution to journalArticlepeer-review

Abstract

We have constructed a high-resolution genomic microarray of human chromosome 16q, and used it for comparative genomic hybridization analysis of 16 prostate tumors. We demarcated 10 regions of genomic loss between 16q23.1 and 16qter that occurred in five or more samples. Mining expression array data from four independent studies allowed us to identify 11 genes that were frequently underexpressed in prostate cancer and that co-localized with a region of genomic loss. Quantitative expression analyses of these genes in matched tumor and benign tissue from 13 patients showed that six of these 11 (WWOX, WFDC1, MAF, FOXF1, MVD and the predicted novel transcript Q9H0B8 (NM_031476)) had significant and consistent downregulation in the tumors relative to normal prostate tissue expression making them candidate tumor suppressor genes.

Original languageEnglish (US)
Pages (from-to)3487-3494
Number of pages8
JournalOncogene
Volume23
Issue number19
DOIs
StatePublished - Apr 22 2004

Keywords

  • Array CGH
  • Chromosome 16q
  • Prostate cancer
  • Tumor suppressor genes

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Cancer Research

Fingerprint

Dive into the research topics of 'Integration of high-resolution array comparative genomic hybridization analysis of chromosome 16q with expression array data refines common regions of loss at 16q23-qter and identifies underlying candidate tumor suppressor genes in prostate cancer'. Together they form a unique fingerprint.

Cite this