Related Experiment Video
Updated: Mar 25, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Clinical, pathological and molecular prognostic factors in prostate cancer decision-making process
Dario Pugliese1, Giuseppe Palermo1, Angelo Totaro1
1Catholic University of the Sacred Heart, Fondazione Policlinico 'A. Gemelli', Urological Clinic, Rome - Italy.
Abstract:
Prostate cancer is the most common urologic neoplasm and the second leading cause of cancer-related death among men in many developed countries. Given the highly heterogeneous behaviour of the disease, there is a great need for prognostic factors, in order to stratify the clinical risk and give the best treatment options to the patient. Clinical factors, such as prostate-specific antigen value and derivatives, and pathological factors, such as stage and Gleason grading, are well kown prognostic factors. Nomograms can provide useful prediction in each clinical sceario. The field of molecular biomarkers is briskly evolving towards personalized medicine. TMPRSS2-ERG fusion, deletion of PTEN ed and gene panels are some of the more extensively explored molecular features in prostate cancer outcome prediction. In the near future, circulating tumour cells, exosomes and microRNAs could give us further, not invasive important tools.
More Related Videos
07:34Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
Published on: November 17, 2023
07:25A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018