Performance of the 17-gene genomic prostate score test in men with prostate cancer (PCa) managed with active surveillance (AS): Results from the Canary Prostate Active Surveillance Study (PASS).

Authors

null

Daniel W. Lin

University of Washington, Seattle, WA

Daniel W. Lin , Yingye Zheng , Jesse McKenney , Marshall Brown , Ruixiao Lu , Michael Crager , Hilary Boyer , James D. Brooks , Atreya Dash , Michael Fabrizio , Martin Gleave , Michael A. Liss , Todd Matthew Morgan , Ian M Thompson , Andrew Wagner , Athanasios Tsiatis , Andrea Pingatore , H. Jeffrey Lawrence , Peter S Nelson , Lisa F Newcomb

Organizations

University of Washington, Seattle, WA, Fred Hutchinson Cancer Research Center, Seattle, WA, Cleveland Clinic, Cleveland, OH, Genomic Health, Inc., Redwood City, CA, Genomic Health, Redwood City, CA, Stanford University, Stanford, CA, Department of Urology, University of Washington Medical Center, Seattle, WA, Eastern Virginia Medical School, Norfolk, VA, Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada, University of Texas Health Sciences Center, San Antonio, San Antonio, TX, University of Michigan, Ann Arbor, MI, CHRISTUS Medical Center Hospital, San Antonio, TX, Beth Israel Deaconess Medical Center, Boston, MA

Research Funding

Pharmaceutical/Biotech Company

Background: The 17-gene Genomic Prostate Score (GPS) test (scale 0-100) predicts adverse surgical pathology (AP) and recurrence in newly diagnosed low- and intermediate-risk PCa. Studies of the predictive value of the GPS test in men initially managed with AS are limited. Methods: Diagnostic biopsy tissue was obtained from 634 men enrolled at 8 sites in PASS. Time to AP (Gleason Grade Group (GG) ≥3, ≥pT3a, or N1) in men who underwent radical prostatectomy (RP) was the primary endpoint. All diagnostic biopsies and RP specimens were centrally reviewed. Multivariate regression models for interval censored data were used to evaluate the association between time to AP and GPS. Inverse probability of censoring weighting was applied to adjust for informative censoring. Association between GPS and time to Gleason score upgrade on surveillance biopsy was also evaluated using a Cox Proportional Hazards model. Results: GPS results were obtained for 432 men (median follow-up 4.6 [IQR: 2.9-6.2] years); 374 and 58 with GG 1 or 2 cancer, respectively; median PSA density (PSAD) was 0.11 [IQR: 0.08-0.15]; 101 men underwent RP with central pathology after a median of 2.1 [IQR: 1.3-4.3] years surveillance, and 52 (52%) men undergoing RP had AP. 167 men upgraded at a subsequent biopsy. No clinico-pathologic covariates were significantly associated with AP other than PSAD. GPS was significantly associated with time to AP (hazards ratio [HR]/20 GPS units: 1.96 [95% CI = 1.17-4.28]; p = 0.030), when adjusted for diagnostic GG, or for dichotomous PSAD ( < vs ≥ 0.15; HR: 1.83, 95% CI = 1.04-3.62; p = 0.046). GPS was not significantly associated with AP (HR: 1.61, 95% CI = 0.87-2.98; p = 0.12) when adjusted for continuous PSAD. No association, either univariable or multivariable, was observed between GPS and subsequent biopsy upgrade. Conclusions: In a cohort of men on AS, GPS was associated with time to AP when adjusted for diagnostic GG or dichotomous PSAD. GPS was not associated with surveillance biopsy GG upgrading or AP at surgery after adjustment for continuous PSAD, although a trend was seen for AP, suggesting an association may be seen in a larger study.

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Abstract Details

Meeting

2019 Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer,Prostate Cancer

Sub Track

Prostate Cancer - Advanced Disease

Citation

J Clin Oncol 37, 2019 (suppl 7S; abstr 262)

DOI

10.1200/JCO.2019.37.7_suppl.262

Abstract #

262

Poster Bd #

L19

Abstract Disclosures