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Updated: May 25, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
[Molecular markers as predictive factors biochemical failure after radical treatment of prostate cancer]
Almudena Zapatero1, Carmen Martín de Vidales, Alfonso Cruz Conde
1Servicio de Oncología Radioterápica, Hospital Universitario de la Princesa, Madrid, España. azapatero.hlpr@salud.madrid.org
Abstract:
Clinical nomograms based on Gleason grade, tumor stage, and serum PSA are still the best predictors of prostate cancer (PC) outcome. The biotechnological advancements achieved in the last decade represent a remarkable source for new prognostic and predictive tissue and serum molecular biomarkers. In this review, we will summarize conventional PC prognostic biomarkers and focus on novel identified biomarkers for PC early diagnosis and progression that might be used in the future. Although they are not ready for widespread, routine use, there are reasons to believe that future models will combine these markers with traditional pretreatment and treatment-related variables and will improve our ability to predict outcome and select the optimal treatment.
