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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
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Prognostic and predictive biomarkers in prostate cancer
Christos K Kontos1, Panagiotis G Adamopoulos1, Andreas Scorilas1
1a Department of Biochemistry and Molecular Biology , University of Athens , Athens , Greece.
Expert Review of Molecular Diagnostics
|November 10, 2015
Summary
This review explores key biomarkers for prostate cancer (PCa) prognosis. Identifying reliable biomarkers is crucial for personalized medicine and improving outcomes for this common male cancer.
Area of Science:
- Oncology
- Urology
- Biomarker Discovery
Background:
- Prostate cancer (PCa) is a significant cause of male cancer mortality, particularly in developed nations.
- Early detection via prostate-specific antigen (PSA) screening and digital rectal exams has reduced metastatic cases but also led to overdiagnosis.
- Accurate prognosis is vital for effective PCa treatment due to disease heterogeneity.
Purpose of the Study:
- To review promising prognostic and predictive biomarkers for prostate cancer.
- To highlight biomarkers that may guide personalized medicine approaches for PCa management.
Main Methods:
- Literature review of prognostic and predictive biomarkers in prostate cancer.
- Analysis of current research on biomarker utility in PCa diagnosis and treatment.
Main Results:
- Several biomarkers show potential for improving PCa prognosis.
- Biomarker panels may offer enhanced predictive accuracy over single markers.
- These biomarkers are poised to advance personalized medicine in oncology.
Conclusions:
- The development and validation of novel biomarkers are essential for refining PCa patient management.
- Biomarkers will play a critical role in the future of personalized prostate cancer care.
- Future research should focus on integrating biomarkers into clinical practice for improved patient outcomes.
