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Updated: Jul 10, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
New circulating biomarkers for prostate cancer.
K Bensalah1, Y Lotan, J A Karam
1Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390-9110, USA.
Prostate-specific antigen (PSA) screening for prostate cancer (PCa) is controversial. Novel blood biomarkers are needed to accurately detect PCa and predict its progression, potentially through panels of markers.
Area of Science:
- Urology
- Oncology
- Biomarker Discovery
Background:
- Prostate-specific antigen (PSA) revolutionized prostate cancer (PCa) screening but faces limitations in specificity and prognostic value.
- Changes in PCa epidemiology have further complicated the interpretation and utility of PSA.
- There is a critical need for improved methods to detect PCa and predict disease course.
Purpose of the Study:
- To review novel approaches for improving PCa detection and prognosis beyond traditional PSA testing.
- To discuss a select group of promising blood-based biomarkers for PCa.
- To highlight the potential of biomarker panels for clinical decision-making.
Main Methods:
- Review of existing literature on PSA derivatives and novel blood biomarkers for PCa.
- Discussion of candidate biomarkers including human glandular kallikrein, IGF-I and its binding proteins, and others.
- Analysis of the potential role of these markers in improving PCa diagnosis and prognosis.
Main Results:
- Various PSA derivatives (e.g., PSA density, velocity, isoforms) have been explored to enhance specificity.
- Numerous novel blood biomarkers (e.g., human glandular kallikrein, IGF-I, urokinase plasminogen activation system) show promise in early studies.
- No single biomarker currently offers sufficient certainty for dictating treatment decisions.
Conclusions:
- Future PCa prognosis and management may rely on panels of biomarkers rather than single markers.
- Biomarker panels could enhance accuracy in predicting PCa presence, stage, and metastasis.
- These panels may serve as prognosticators and surrogate endpoints for treatment response.
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