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Updated: May 22, 2026
13:19
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Genome abnormalities precede prostate cancer and predict clinical relapse
Yan P Yu1, Chi Song, George Tseng
1Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
The American Journal of Pathology
|May 10, 2012
Summary
Copy number variation in prostate cancer tissues and blood can predict biochemical relapse. Genomic abnormalities in benign or malignant prostate tissues are key indicators of clinical outcome and relapse kinetics.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- Prostate cancer outcome prediction is challenging despite PSA monitoring.
- Early detection via PSA monitoring has limitations in predicting clinical outcomes.
- Copy number variation (CNV) is a potential biomarker for cancer progression.
Purpose of the Study:
- To investigate if CNV in tumor, adjacent benign tissues (AT), and blood predicts prostate cancer relapse.
- To assess the predictive value of CNV for biochemical (PSA) relapse and its kinetics (PSA doubling time, PSADT).
- To determine if genomic abnormalities in benign tissues can predict malignancy outcomes.
Main Methods:
- Analysis of 241 samples (104 tumor, 49 AT, 85 blood, 3 cell lines) using Affymetrix SNP 6.0 chips.
- Evaluation of gene-specific CNV from tumor and AT for predicting relapse and short PSADT (<4 months).
- Assessment of median-sized CNV from blood and tumor for predicting relapse and short PSADT.
Main Results:
- Tumor gene-specific CNV predicted relapse (73%) and short PSADT (75%).
- AT gene-specific CNV predicted relapse (67%) and short PSADT (77%).
- Blood median-sized CNV predicted relapse (81%) and short PSADT (69%).
- Tumor median-sized CNV predicted relapse (75%) and short PSADT (80%).
Conclusions:
- Genomic abnormalities in benign or malignant prostate tissues predict clinical outcome.
- CNV in tumor, adjacent benign tissue, and blood are significant predictors of prostate cancer relapse.
- This study highlights the potential of genomic alterations in non-malignant tissues for outcome prediction.
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