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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Molecular markers in prostate cancer. Part I: predicting lethality
Sachin Agrawal1, William D Dunsmuir
1Department of Urology, St. Peters Hospital, Chertsey, UK. agrawalsachin@hotmail.com
Asian Journal of Andrology
|December 4, 2008
Summary
Determining prostate cancer (PCa) lethality is complex. This review examines molecular markers and models to aid in distinguishing aggressive disease from indolent forms, aiming to reduce overtreatment.
Area of Science:
- Urology
- Oncology
- Molecular Pathology
Background:
- Distinguishing lethal early prostate cancer (PCa) from indolent disease remains a clinical challenge.
- Active surveillance is an alternative to radical treatment for many men, but judicious intervention is difficult to judge.
- Clinical factors alone are insufficient for accurate prognostication.
Purpose of the Study:
- To review molecular markers and models for predicting PCa stage, progression, and lethality.
- To provide an overview of advancements up to 2008 in identifying clinically valuable biomarkers.
- To aid clinicians in balancing intervention versus overtreatment for early PCa.
Main Methods:
- Literature review of studies published up to and including 2008.
- Synthesis of findings on molecular markers and predictive models for prostate cancer.
- Analysis of the clinical utility of various biomarkers.
Main Results:
- Many molecular markers have been investigated for predicting PCa outcomes.
- Few individual markers demonstrate sufficient clinical value alone.
- Molecular markers are often most useful within multivariate predictive models.
Conclusions:
- Accurate assessment of early prostate cancer lethality is crucial for appropriate management.
- Molecular markers, when integrated into models, can enhance prognostic accuracy.
- Further research is needed to refine predictive tools for personalized PCa treatment.

