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Related Experiment Video

Updated: Jun 17, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Molecular markers for prostatic cancer.

Tommaso Castelli1, Sebastiano Cimino, Carlo Magno

  • 1Department of Urology, University of Messina, Consolare Valeria Avenue, 98100 Messina, Italy.

Frontiers in Bioscience (Elite Edition)
|December 29, 2009
PubMed
Summary
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Identifying effective prostate cancer biomarkers is crucial for early detection and treatment. Current methods like PSA lack accuracy, necessitating research into new molecular assays and proteomic profiling for better diagnosis and prognosis.

Area of Science:

  • Oncology
  • Urology
  • Biomarker Discovery

Background:

  • Prostate cancer (caP) is a significant public health concern.
  • Prostate-specific antigen (PSA) testing has increased caP diagnosis but has limited specificity and sensitivity.
  • Accurate prognostic factors are needed for early detection and treatment decisions.

Purpose of the Study:

  • To review current and emerging biomarkers for prostate cancer detection and prognosis.
  • To highlight the limitations of existing diagnostic tools.
  • To guide future research in identifying aggressive caP and predicting treatment outcomes.

Main Methods:

  • Review of existing literature on prostate cancer biomarkers.
  • Investigation of volume-adjusted PSA, PSA isoforms, and PSA kinetics.

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Last Updated: Jun 17, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)
08:30

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

Published on: May 16, 2012

  • Exploration of advancements in molecular assays, proteomic array profiling, and DNA methylation assays.

    • Main Results:

    • Current PSA testing exhibits insufficient diagnostic accuracy.
    • Emerging molecular assays and proteomic profiling show promise for improved specificity.
    • No single marker currently achieves desired diagnostic and prognostic accuracy.

    Conclusions:

    • Future research must validate existing biomarkers and discover novel ones.
    • The goal is to identify men with aggressive prostate cancer.
    • Accurate prediction of outcomes after therapies is essential.