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Updated: Mar 1, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
[Molecular biomarkers and prognostic factors for prostate cancer]
A Kretschmer1, Y Tolkach2, J Ellinger3
1Urologische Klinik und Poliklinik, Klinikum der Universität München, Ludwig-Maximilians-Universität, Marchioninistr. 15, 81377, München, Deutschland. alexander.kretschmer@med.uni-muenchen.de.
Abstract:
In the era of personalized medicine and precision oncology, innovative genetic biomarkers are of emerging interest to close the diagnostic and prognostic gap that is left by current clinicopathologic risk classifiers. The current review article summarizes evidence regarding prognostic and predictive genetic biomarkers that are currently in widespread clinical use at initial diagnosis as well as following definitive treatment of prostate cancer. We give a brief summary about basic principles of biomarker research studies and present current data for the Progensa PC3 test, TMPRSS2:ERG gene fusion, ConfirmMDx, Prolaris gene panel, OncotypeDX Genomic Prostate score, and Decipher classifier. Evidence regarding those genetic biomarkers has heavily increased recently. However, there is still a lack of large, multicentric and prospective clinical validation studies. Furthermore, comparative studies that investigate the prognostic value of various genetic biomarkers are needed.

