Validation of a genomic classifier to predict adverse pathology in men diagnosed with low risk prostate cancer.

Authors

null

Hyung Lae Kim

Cedars-Sinai Medical Center, Los Angeles, CA

Hyung Lae Kim , Ping Li , Huei-Chung Huang , Samineh Deheshi , Beatrice Knudsen , Hatem Abou-Ouf , Lucia L.C. Lam , Jennifer Margrave , Elai Davicioni , Jeffrey J. Tosoian , Ashley Ross , John W. Davis , M. Eric Hyndman , Eric A. Klein , Tarek A. Bismar , Marguerite Du Plessis

Organizations

Cedars-Sinai Medical Center, Los Angeles, CA, GenomeDx Biosciences Inc., Vancouver, BC, Canada, University of Calgary, Calgary, AB, Canada, Johns Hopkins Medicine, Baltimore, MD, UT MD Anderson Cancer Center, Houston, TX, Cleveland Clinic Glickman Urology and Kidney Institute, Cleveland, OH

Research Funding

Pharmaceutical/Biotech Company

Background: The Decipher 22-feature genomic classifier (GC) has been validated to predict metastasis and prostate cancer specific mortality in needle biopsy (Bx) tissue of men with intermediate and high-risk prostate cancer. We validate GC in diagnostic Bx specimens for the prediction of high-grade/stage (HGS) disease at radical prostatectomy (RP) in men with low and favorable-intermediate (fav-int) NCCN risk group disease. Methods: We identified 176 men diagnosed with low or fav-int NCCN risk group disease who had available Bx GC scores and pathological information after RP from Cedars-Sinai, University of Calgary, Cleveland Clinic, MD Anderson, and Johns Hopkins. The GC score was calculated based on a locked random forest model. Scores range from 0-1 with cut points for GC low, intermediate and high risk groups as <0.45, 0.45-0.6, and >0.6, respectively. The primary endpoint was HGS (Gleason group 3-5 or pT3b or lymph node invasion (LNI)). Univariable (UVA) and multivariable (MVA) logistic regression models were used to evaluate GC and CAPRA. Results: Median age of the cohort was 62 years, 87% and 13% had Bx grade group (GG) 1 or 2 disease. 76% and 24% were NCCN low and fav-int risk, respectively. CAPRA classified 70% as low (0-2) and 30% as average risk (3-5). GC classified 80% low, 16% intermediate and 4% high genomic risk. After RP, 41% had RP GG 1, 46% GG 2 and 13% had GG 3-5 disease. pT3b or positive lymph nodes were observed in 7 men (4%), overall 27 (15%) of men had HGS at RP. In the UVA and MVA, GC was the only significant predictor of HGS with odds ratio (OR) of 1.38 and 1.34 per 10% unit increase, before and after adjusting for CAPRA (p=0.011, 0.027). A low risk score (GC<0.45) had a negative predictive value (NPV) of 92% to identify men who do not have HGS at RP. In exploratory analysis, a very low risk cut-point (GC<0.2) was found which had a sensitivity of 96% and an NPV of 99%. 26% of men had GC<0.2. Conclusions: We validated GC in a multi-institutional study to predict HGS at RP among men with NCCN low and fav-int risk disease with high sensitivity and NPV. Future studies will aim to validate the very low risk genomic cut-point to guide decision-making and follow-up biopsy protocols for men considering or in active surveillance.

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Abstract Details

Meeting

2018 Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer,Prostate Cancer

Sub Track

Prostate Cancer - Localized Disease

Citation

J Clin Oncol 36, 2018 (suppl 6S; abstr 71)

DOI

10.1200/JCO.2018.36.6_suppl.71

Abstract #

71

Poster Bd #

D13

Abstract Disclosures

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