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Updated: Jun 23, 2026
13:19
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 3, 2013
Predicting the clinical course of prostate cancer
James McKiernan1, Mitchell C Benson
1Department of Urology, Columbia University College of Physicians and Surgeons, New York, New York 10032, USA.
The Journal of Clinical Investigation
|April 7, 2004
Summary
High-throughput functional genomics can improve prostate cancer risk assessment. This technology helps identify patients at higher risk of treatment failure, aiding clinical decisions.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Prostate cancer risk stratification is clinically challenging.
- Identifying patients likely to experience treatment failure requires better tools.
Discussion:
- High-throughput functional genomics offers a novel approach.
- This technology can refine understanding of treatment failure mechanisms.
Key Insights:
- Genomic profiling can predict treatment failure in prostate cancer.
- This study demonstrates a practical application of advanced genomic technology.
Outlook:
- Further research can integrate these genomic findings into clinical practice.
- Improved risk stratification may lead to more personalized prostate cancer treatment strategies.
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