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Updated: Aug 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Multiple abnormalities detected by dye reversal genomic microarrays in prostate cancer: a much greater sensitivity
Joseph A Pettus1, Brett C Cowley, Teresa Maxwell
1Department of Human Genetics, University of Utah School of Medicine, 1C210 SOM, 30 North 1900 East, Salt Lake City, UT 84132-2117, USA.
Abstract:
Prostate cancer remains the most common male malignancy in Western countries, yet limited information exists regarding genetic changes and clinical correlations. The advent of comparative genomic hybridization microarray (GM) technology has recently allowed for precise screening of DNAs for genetic copy number changes; this offers an advantage over previous techniques, including conventional cytogenetics. A problem with cytogenetic prostate cancer analysis has been the study of the appropriate cell types because this is a highly heterogeneous tumor. We have performed GM using the Spectral Genomics Inc. dye reversal platform on 20 primary prostate tumors. These tumor samples were from frozen tissue collected over the last 10 years and multiple clinical parameters, including follow-up were collected on these patients; cytogenetic analysis was previously attempted on all patients. Eighty percent (16/20) of specimens showed copy number changes, 65% of which were losses and 35% were gains of genetic material. The most common changes observed were loss of an interstitial region of 2q (8 cases, 40%), followed by loss of interstitial 6q (6 cases, 30%), loss at 8p and 13q (5 cases each, 25%), gain at 3p and loss at 5q, 16q, and Xq (4 cases each, 20%), and gain at 8p (3 cases, 15%). There was evidence of correlation of loss at 5q with a positive node status. Cytogenetic studies on these same patients only detected clonal changes in 40% (8/20) specimens and did not detect the majority of abnormalities seen by the GM technique. We propose this technology for the evaluation of prostate and other heterogeneous cancers as a rapid and efficient way to detect genetic copy number changes.
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