Literature DB >> 25465337

A Biopsy-based 17-gene Genomic Prostate Score Predicts Recurrence After Radical Prostatectomy and Adverse Surgical Pathology in a Racially Diverse Population of Men with Clinically Low- and Intermediate-risk Prostate Cancer.

Jennifer Cullen1, Inger L Rosner2, Timothy C Brand3, Nan Zhang4, Athanasios C Tsiatis4, Joel Moncur2, Amina Ali5, Yongmei Chen5, Dejan Knezevic4, Tara Maddala4, H Jeffrey Lawrence4, Phillip G Febbo4, Shiv Srivastava5, Isabell A Sesterhenn6, David G McLeod2.   

Abstract

BACKGROUND: Biomarkers that are validated in independent cohorts are needed to improve risk assessment for prostate cancer (PCa).
OBJECTIVE: A racially diverse cohort of men (20% African American [AA]) was used to evaluate the association of the clinically validated 17-gene Genomic Prostate Score (GPS) with recurrence after radical prostatectomy and adverse pathology (AP) at surgery. DESIGN, SETTING, AND PARTICIPANTS: Biopsies from 431 men treated for National Comprehensive Cancer Network (NCCN) very low-, low-, or intermediate-risk PCa between 1990 and 2011 at two US military medical centers were tested to validate the association between GPS and biochemical recurrence (BCR) and to confirm the association with AP. Metastatic recurrence (MR) was also evaluated. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Cox proportional hazards models were used for BCR and MR, and logistic regression was used for AP. Central pathology review was performed by one uropathologist. AP was defined as primary Gleason pattern 4 or any pattern 5 and/or pT3 disease. RESULTS AND LIMITATIONS: GPS results (scale: 0-100) were obtained in 402 cases (93%); 62 men (15%) experienced BCR, 5 developed metastases, and 163 had AP. Median follow-up was 5.2 yr. GPS predicted time to BCR in univariable analysis (hazard ratio per 20 GPS units [HR/20 units]: 2.9; p<0.001) and after adjusting for NCCN risk group (HR/20 units: 2.7; p<0.001). GPS also predicted time to metastases (HR/20 units: 3.8; p=0.032), although the event rate was low (n=5). GPS was strongly associated with AP (odds ratio per 20 GPS units: 3.3; p<0.001), adjusted for NCCN risk group. In AA and Caucasian men, the median GPS was 30.3 for both, the distributions of GPS results were similar, and GPS was similarly predictive of outcome.
CONCLUSIONS: The association of GPS with near- and long-term clinical end points establishes the assay as a strong independent measure of PCa aggressiveness. Tumor aggressiveness, as measured by GPS, and outcomes were similar in AA and Caucasian men in this equal-access health care system. PATIENT
SUMMARY: Predicting outcomes in men with newly diagnosed prostate cancer is challenging. This study demonstrates that a new molecular test, the Genomic Prostate Score, which can be performed on a patient's original prostate needle biopsy, can predict the aggressiveness of the cancer and help men make decisions regarding the need for immediate treatment of their cancer.
Copyright © 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical validation; Gene expression; Molecular diagnostic testing; Neoplasm recurrence; Prostate neoplasms

Mesh:

Substances:

Year:  2014        PMID: 25465337     DOI: 10.1016/j.eururo.2014.11.030

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  101 in total

Review 1.  Cellular and Molecular Mechanisms Underlying Prostate Cancer Development: Therapeutic Implications.

Authors:  Ugo Testa; Germana Castelli; Elvira Pelosi
Journal:  Medicines (Basel)       Date:  2019-07-30

2.  Utilization of individualized prostate cancer and genomic biomarkers for the practicing urologist.

Authors:  Gregory C McMahon; Gordon A Brown; Thomas J Mueller
Journal:  Rev Urol       Date:  2017

Review 3.  [Molecular biomarkers and prognostic factors for prostate cancer].

Authors:  A Kretschmer; Y Tolkach; J Ellinger; G Kristiansen
Journal:  Urologe A       Date:  2017-07       Impact factor: 0.639

4.  Balancing Confounding and Generalizability Using Observational, Real-world Data: 17-gene Genomic Prostate Score Assay Effect on Active Surveillance.

Authors:  Steven Canfield; Michael J Kemeter; Phillip G Febbo; John Hornberger
Journal:  Rev Urol       Date:  2018

Review 5.  Genomic testing for localized prostate cancer: where do we go from here?

Authors:  Stacy Loeb; Ashley E Ross
Journal:  Curr Opin Urol       Date:  2017-09       Impact factor: 2.309

Review 6.  Active Surveillance of Prostate Cancer: Use, Outcomes, Imaging, and Diagnostic Tools.

Authors:  Jeffrey J Tosoian; Stacy Loeb; Jonathan I Epstein; Baris Turkbey; Peter L Choyke; Edward M Schaeffer
Journal:  Am Soc Clin Oncol Educ Book       Date:  2016

Review 7.  Active Surveillance for Intermediate Risk Prostate Cancer.

Authors:  Laurence Klotz
Journal:  Curr Urol Rep       Date:  2017-08-11       Impact factor: 3.092

Review 8.  Clinical and Novel Biomarkers in the Management of Prostate Cancer.

Authors:  Cristóbal Sanhueza; Manish Kohli
Journal:  Curr Treat Options Oncol       Date:  2018-02-08

9.  A four-gene transcript score to predict metastatic-lethal progression in men treated for localized prostate cancer: Development and validation studies.

Authors:  Anqi Cheng; Shanshan Zhao; Liesel M FitzGerald; Jonathan L Wright; Suzanne Kolb; R Jeffrey Karnes; Robert B Jenkins; Elai Davicioni; Elaine A Ostrander; Ziding Feng; Jian-Bing Fan; James Y Dai; Janet L Stanford
Journal:  Prostate       Date:  2019-08-02       Impact factor: 4.104

Review 10.  Active surveillance for prostate cancer: current evidence and contemporary state of practice.

Authors:  Jeffrey J Tosoian; H Ballentine Carter; Abbey Lepor; Stacy Loeb
Journal:  Nat Rev Urol       Date:  2016-03-08       Impact factor: 14.432

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