Journal article
Use of the Decipher genomic classifier among men with prostate cancer in the United States
JNCI cancer spectrum, Vol.7(5), pkad052
08/31/2023
DOI: 10.1093/jncics/pkad052
PMCID: PMC10505256
PMID: 37525535
Abstract
Background: Management of localized or recurrent prostate cancer since the 1990s has been based on risk stratification using clinicopathological variables, including Gleason score, T stage (based on digital rectal exam), and prostate-specific antigen (PSA). In this study a novel prognostic test, the Decipher Prostate Genomic Classifier (GC), was used to stratify risk of prostate cancer progression in a US national database of men with prostate cancer.
Methods: Records of prostate cancer cases from participating SEER (Surveillance, Epidemiology, and End Results) program registries, diagnosed during the period from 2010 through 2018, were linked to records of testing with the GC prognostic test. Multivariable analysis was used to quantify the association between GC scores or risk groups and use of definitive local therapy after diagnosis in the GC biopsy-tested cohort and postoperative radiotherapy in the GC-tested cohort as well as adverse pathological findings after prostatectomy.
Results: A total of 572 545 patients were included in the analysis, of whom 8927 patients underwent GC testing. GC biopsy-tested patients were more likely to undergo active active surveillance or watchful waiting than untested patients (odds ratio [OR] = 2.21, 95% confidence interval [CI] = 2.04 to 2.38, P<.001). The highest use of active surveillance or watchful waiting was for patients with a lowrisk GC classification (41%) compared with those with an intermediate- (27%) or high-risk (11%) GC classification (P<.001). Among National Comprehensive Cancer Network patients with low and favorable-intermediate risk, higher GC risk class was associated with greater use of local therapy (OR = 4.79, 95% CI = 3.51 to 6.55, P<.001). Within this subset of patients who were subsequently treated with prostatectomy, high GC risk was associated with harboring adverse pathological findings (OR = 2.94, 95% CI = 1.38 to 6.27, P = .005). Use of radiation after prostatectomy was statistically significantly associated with higher GC risk groups (OR = 2.69, 95% CI = 1.89 to 3.84).
Conclusions: There is a strong association between use of the biopsy GC test and likelihood of conservative management. Higher genomic classifier scores are associated with higher rates of adverse pathology at time of surgery and greater use of postoperative radiotherapy.
In this study the Decipher Prostate Genomic Classifier (GC) was used to analyze a US national database of men with prostate cancer. Use of the GC was associated with conservative management (ie, active surveillance). Among men who had high-risk GC scores and then had surgery, there was a 3-fold higher chance of having worrisome findings in surgical specimens.
Details
- Title: Subtitle
- Use of the Decipher genomic classifier among men with prostate cancer in the United States
- Creators
- Nicholas G. Zaorsky - University Hospitals Seidman Cancer CenterJames A. Proudfoot - Veracyte (United States)Angela Y. Jia - University Hospitals Seidman Cancer CenterRaed Zuhour - University Hospitals Seidman Cancer CenterRandy Vince Jr - University Hospitals Seidman Cancer CenterYang Liu - Veracyte (United States)Xin Zhao - Veracyte (United States)Jim Hu - Weil Cornell Med, Dept Urol, New York, NY USANicola C. Schussler - Informat Management Syst Inc, Calverton, MD USAJennifer L. Stevens - Information Management ServicesSuzanne Bentler - University of IowaRosemary D. Cress - Canc Registry Greater Calif, Publ Hlth Inst, Sacramento, CA USAJennifer A. Doherty - Huntsman Cancer InstituteEric B. Durbin - Univ Kentucky, Markey Canc Ctr, Canc Res Informat Shared Resource Facil, Kentucky Canc Registry, Lexington, KY USASusan Gershman - Massachusetts Canc Registry, Boston, MA USAIona Cheng - University of California, San FranciscoLou Gonsalves - Connecticut Department of Public HealthBrenda Y. Hernandez - University of Hawaii SystemLihua Liu - University of Southern CaliforniaBozena M. Morawski - Canc Data Registry Idaho, Boise, ID USAMaria Schymura - SUNY Albany, Sch Publ Hlth Epidemiol & Biostat, Albany, NY USAStephen M. Schwartz - Fred Hutch Cancer CenterKevin C. Ward - Emory Univ, Rollins Sch Publ Hlth, Atlanta, GA USACharles Wiggins - Univ NM, Dept Internal Med, MSC10 5550,1 Univ NM, Albuquerque, NM 87131 USAXiao-Cheng Wu - Louisiana State Univ, Sch Med, Dept Epidemiol, New Orleans, LA USAJonathan E. Shoag - University Hospitals Seidman Cancer CenterLee Ponsky - Univ Hosp Seidman Canc Ctr, Dept Radiat Oncol, Cleveland, OH USAAlan Dal Pra - University of MiamiEdward M. Schaeffer - Northwestern Univ, Dept Urol, Chicago, IL 60611 USAAshley E. Ross - Northwestern UniversityYilun Sun - Case Western Reserve UniversityElai Davicioni - Veracyte (United States)Valentina Petkov - NCI, Surveillance Res Program, Bethesda, MD USADaniel E. Spratt - University Hospitals Seidman Cancer Center
- Resource Type
- Journal article
- Publication Details
- JNCI cancer spectrum, Vol.7(5), pkad052
- DOI
- 10.1093/jncics/pkad052
- PMID
- 37525535
- PMCID
- PMC10505256
- NLM abbreviation
- JNCI Cancer Spectr
- ISSN
- 2515-5091
- eISSN
- 2515-5091
- Publisher
- Oxford Univ Press
- Number of pages
- 9
- Grant note
- The study sponsors had no role in the design and conduct of the study; the analysis and interpretation of the data; the preparation, review or approval of the manuscript; nor the decision to submit the manuscript for publication.
- Language
- English
- Date published
- 08/31/2023
- Academic Unit
- College of Public Health
- Record Identifier
- 9984473208502771
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