Neil E Martin1. 1. Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts, USA.
Abstract
PURPOSE OF REVIEW: The initial management of localized prostate cancer is increasingly complex with the identification of a growing number of prognostic subgroups. Molecular and genetic biomarkers have been proposed to help clinicians and patients navigate treatment decisions. RECENT FINDINGS: Three commercially available tests, the Genomic Prostate score, Cell Cycle Progression score, and Genomic Classifier appear to currently have the most supporting data for their use in localized prostate cancer. All three have been shown to identify men at higher risk for poor outcome following radical prostatectomy in retrospective studies whereas the first two have also shown promise in addressing which men might be appropriate for active surveillance. Only the Genomic Classifier has data supporting its use as a predictive marker in addition to a prognostic marker. SUMMARY: Over the past several years, the management of localized prostate cancer has seen the development of several novel biomarkers aimed at improving decision making. Although a lack of prospective validation makes it challenging to know how best to change management based on the results from any of the tests, the growing body of retrospective data suggests significant promise in this arena.
PURPOSE OF REVIEW: The initial management of localized prostate cancer is increasingly complex with the identification of a growing number of prognostic subgroups. Molecular and genetic biomarkers have been proposed to help clinicians and patients navigate treatment decisions. RECENT FINDINGS: Three commercially available tests, the Genomic Prostate score, Cell Cycle Progression score, and Genomic Classifier appear to currently have the most supporting data for their use in localized prostate cancer. All three have been shown to identify men at higher risk for poor outcome following radical prostatectomy in retrospective studies whereas the first two have also shown promise in addressing which men might be appropriate for active surveillance. Only the Genomic Classifier has data supporting its use as a predictive marker in addition to a prognostic marker. SUMMARY: Over the past several years, the management of localized prostate cancer has seen the development of several novel biomarkers aimed at improving decision making. Although a lack of prospective validation makes it challenging to know how best to change management based on the results from any of the tests, the growing body of retrospective data suggests significant promise in this arena.
Authors: Kathryn L Penney; Svitlana Tyekucheva; Jacob Rosenthal; Habiba El Fandy; Ryan Carelli; Stephanie Borgstein; Giorgia Zadra; Giuseppe Nicolò Fanelli; Lavinia Stefanizzi; Francesca Giunchi; Mark Pomerantz; Samuel Peisch; Hannah Coulson; Rosina Lis; Adam S Kibel; Michelangelo Fiorentino; Renato Umeton; Massimo Loda Journal: Mol Cancer Res Date: 2020-11-09 Impact factor: 5.852
Authors: Annie Rochette; Nadia Boufaied; Eleonora Scarlata; Lucie Hamel; Fadi Brimo; Hayley C Whitaker; Antonio Ramos-Montoya; David E Neal; Alice Dragomir; Armen Aprikian; Simone Chevalier; Axel A Thomson Journal: Br J Cancer Date: 2017-02-02 Impact factor: 7.640
Authors: L M FitzGerald; S Zhao; A Leonardson; M S Geybels; S Kolb; D W Lin; J L Wright; R Eeles; Z Kote-Jarai; K Govindasami; G G Giles; M C Southey; J Schleutker; T L Tammela; C Sipeky; K L Penney; M J Stampfer; H Gronberg; F Wiklund; P Stattin; J Hugosson; D M Karyadi; E A Ostrander; Z Feng; J L Stanford Journal: Prostate Cancer Prostatic Dis Date: 2018-01-03 Impact factor: 5.554