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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Assays for prostate cancer : changing the screening paradigm?
Jens Hansen1, Michael Rink, Markus Graefen
1Department of Urology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Molecular Diagnosis & Therapy
|January 29, 2013
Summary
New biomarkers in blood and urine show promise for improving prostate cancer (PCa) detection. Combining these markers may enhance accuracy and reduce unnecessary prostate biopsies for better PCa diagnosis.
Area of Science:
- Urology
- Oncology
- Biomarker Discovery
Background:
- Serum prostate-specific antigen (PSA) testing has revolutionized prostate cancer (PCa) detection but leads to overdiagnosis and overtreatment.
- The need for more specific biomarkers is critical to improve PCa detection accuracy and patient management.
- Current PSA testing limitations necessitate the development of novel diagnostic tools.
Purpose of the Study:
- To provide an overview of novel blood- and urine-based biomarkers for prostate cancer detection.
- To explore biomarkers that can improve the identification of clinically significant PCa.
- To reduce the rate of unnecessary prostate biopsies through enhanced diagnostic specificity.
Main Methods:
- Systematic PubMed search conducted using MeSH terms: 'prostate cancer', 'biomarker', 'marker', and 'detection'.
- Literature review focused on English-language studies.
- Analysis of emerging blood- and urine-based biomarkers for PCa prediction.
Main Results:
- Several novel blood- and urine-based biomarkers demonstrate potential for improving PCa detection.
- These biomarkers may enhance the prediction of both the presence and significance of prostate cancer.
- Multivariate models combining multiple biomarkers show superior accuracy compared to single markers.
Conclusions:
- Novel biomarkers offer a promising avenue to optimize prostate cancer detection and diagnosis.
- The use of combined biomarkers in multivariate models can significantly improve the accuracy of identifying significant PCa.
- These advancements have the potential to reduce unnecessary invasive procedures like prostate biopsies.

