Literature DB >> 31026214

A 17-Gene Genomic Prostate Score as a Predictor of Adverse Pathology in Men on Active Surveillance.

Zachary Kornberg1, Matthew R Cooperberg1,2, Janet E Cowan1, June M Chan1,2, Katsuto Shinohara1, Jeffry P Simko3, Imelda Tenggara1, Peter R Carroll1.   

Abstract

PURPOSE: The GPS (Oncotype Dx® Genomic Prostate Score) test is a RNA expression assay which can be performed on prostate biopsies. We sought to determine whether the GPS was associated with an increased risk of adverse pathology findings in men enrolled on active surveillance who later underwent radical prostatectomy.
MATERIALS AND METHODS: We identified all patients on active surveillance at University of California-San Francisco who had Gleason score 3 + 3 or low volume (33% or fewer positive cores) Gleason score 3 + 4 prostate cancer, GPS testing at diagnostic or confirmatory biopsy, clinical stage T1/T2, prostate specific antigen less than 20 and a clinical CAPRA (Cancer of the Prostate Risk Assessment) score less than 6. The primary outcome was adverse pathology, defined as Gleason score 4 + 3 or greater, stage pT3a or greater, or pN1. The secondary outcome was biochemical recurrence, defined as 2 consecutive prostate specific antigen measurements greater than 0.05 ng/ml following radical prostatectomy.
RESULTS: Of the 215 men 179 (83%) were at low risk and 36 (17%) were at intermediate risk by CAPRA scoring. The median GPS was 26.4 (IQR 18.8-34.6). On multivariate analysis a higher GPS was associated with an increased risk of adverse pathology at delayed radical prostatectomy (HR/5 units 1.16, 95% CI 1.06-1.26, p <0.01). A higher GPS was also associated with an increased risk of biochemical recurrence (HR/5 units 1.10, 95% CI 1.00-1.21, p=0.04).
CONCLUSIONS: In patients who undergo radical prostatectomy after a period on active surveillance, as in those who undergo immediate prostatectomy, a higher GPS is associated with an increased risk of adverse pathology. The GPS is also associated with biochemical recurrence following radical prostatectomy in such patients.

Entities:  

Keywords:  clinical; genomics; pathology; prostate-specific antigen; prostatectomy; watchful waiting

Year:  2019        PMID: 31026214     DOI: 10.1097/JU.0000000000000290

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  10 in total

Review 1.  How should radiologists incorporate non-imaging prostate cancer biomarkers into daily practice?

Authors:  Pawel Rajwa; Jamil Syed; Michael S Leapman
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 2.  A review on the role of tissue-based molecular biomarkers for active surveillance.

Authors:  Sanoj Punnen
Journal:  World J Urol       Date:  2021-02-15       Impact factor: 4.226

3.  GPS Assay Association With Long-Term Cancer Outcomes: Twenty-Year Risk of Distant Metastasis and Prostate Cancer-Specific Mortality.

Authors:  Michael A Brooks; Lewis Thomas; Cristina Magi-Galluzzi; Jianbo Li; Michael R Crager; Ruixiao Lu; John Abran; Tamer Aboushwareb; Eric A Klein
Journal:  JCO Precis Oncol       Date:  2021-02-24

4.  A novel serum biomarker quintet reveals added prognostic value when combined with standard clinical parameters in prostate cancer patients by predicting biochemical recurrence and adverse pathology.

Authors:  Alcibiade Athanasiou; Pierre Tennstedt; Anja Wittig; Ramy Huber; Oliver Straub; Ralph Schiess; Thomas Steuber
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

5.  Predictive Value of Circulating Tumor Cells Detected by ISET® in Patients with Non-Metastatic Prostate Cancer Undergoing Radical Prostatectomy.

Authors:  Laura Nalleli Garrido Castillo; Arnaud Mejean; Philippe Vielh; Julien Anract; Alessandra Decina; Bertrand Nalpas; Naoual Benali-Furet; Isabelle Desitter; Patrizia Paterlini-Bréchot
Journal:  Life (Basel)       Date:  2022-01-22

6.  Unified model involving genomics, magnetic resonance imaging and prostate-specific antigen density outperforms individual co-variables at predicting biopsy upgrading in patients on active surveillance for low risk prostate cancer.

Authors:  Alp Tuna Beksac; Parita Ratnani; Zachary Dovey; Sneha Parekh; Ugo Falagario; Reza Roshandel; Stanislaw Sobotka; Deepshikha Kewlani; Avery Davis; Rachel Weil; Hafis Bashorun; Ivan Jambor; Sara Lewis; Kenneth Haines; Ashutosh K Tewari
Journal:  Cancer Rep (Hoboken)       Date:  2021-12-20

Review 7.  Patterns of indolence in prostate cancer (Review).

Authors:  Minas Sakellakis; Laura Jacqueline Flores; Sumankalai Ramachandran
Journal:  Exp Ther Med       Date:  2022-03-28       Impact factor: 2.447

8.  17-Gene Genomic Prostate Score Test Results in the Canary Prostate Active Surveillance Study (PASS) Cohort.

Authors:  Daniel W Lin; Yingye Zheng; Jesse K McKenney; Marshall D Brown; Ruixiao Lu; Michael Crager; Hilary Boyer; Maria Tretiakova; James D Brooks; Atreya Dash; Michael D Fabrizio; Martin E Gleave; Suzanne Kolb; Michael Liss; Todd M Morgan; Ian M Thompson; Andrew A Wagner; Athanasios Tsiatis; Andrea Pingitore; Peter S Nelson; Lisa F Newcomb
Journal:  J Clin Oncol       Date:  2020-03-04       Impact factor: 44.544

Review 9.  Tissue-Based Biomarkers for the Risk Stratification of Men With Clinically Localized Prostate Cancer.

Authors:  Spyridon P Basourakos; Michael Tzeng; Patrick J Lewicki; Krishnan Patel; Bashir Al Hussein Al Awamlh; Siv Venkat; Jonathan E Shoag; Michael A Gorin; Christopher E Barbieri; Jim C Hu
Journal:  Front Oncol       Date:  2021-05-28       Impact factor: 6.244

Review 10.  Active Surveillance in Prostate Cancer: Role of Available Biomarkers in Daily Practice.

Authors:  Belén Pastor-Navarro; José Rubio-Briones; Ángel Borque-Fernando; Luis M Esteban; Jose Luis Dominguez-Escrig; José Antonio López-Guerrero
Journal:  Int J Mol Sci       Date:  2021-06-10       Impact factor: 5.923

  10 in total

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