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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
17.3K
New Genetic Markers for Prostate Cancer
Michael S Leapman1, Peter R Carroll1
1Department of Urology, UCSF - Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
The Urologic Clinics of North America
|November 29, 2015
Summary
Gene expression tests can improve prostate cancer risk stratification after initial treatment failure. However, more clinical validation and effectiveness data are needed for these novel genomic assays.
Area of Science:
- Oncology
- Genomics
- Medical Diagnostics
Background:
- Conventional prostate cancer risk stratification using clinical and pathologic factors may lead to misclassification.
- Emerging gene-based assays aim to enhance predictive accuracy in prediagnostic and postdiagnostic settings.
- These genomic tools show promise for improving risk stratification following primary treatment failure.
Purpose of the Study:
- To evaluate the role of gene expression tests in refining prostate cancer risk stratification.
- To assess the potential of these assays in guiding decisions about additional treatment after initial therapy.
- To highlight the need for further clinical validation and effectiveness data for novel gene-based tests.
Main Methods:
- Review of emerging gene-based assays for prostate cancer.
- Analysis of the potential utility of gene expression profiling in post-treatment settings.
- Identification of limitations in current clinical validation and effectiveness data.
Main Results:
- Gene expression tests may offer improved stratification of men at risk for prostate cancer progression.
- These assays can inform decisions regarding the necessity of further treatment.
- Current validation relies on historical cohorts, with limited empirical clinical effectiveness data.
Conclusions:
- Gene expression tests hold promise for enhancing prostate cancer risk stratification and treatment guidance.
- Further robust clinical validation and real-world effectiveness studies are crucial for widespread adoption.
- Addressing data limitations is essential for optimizing the use of genomic assays in prostate cancer management.

