Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries
Abstract Objective To assess the association between Genomic Classifier (GC)‐risk group and post‐radical prostatectomy treatment in clinical practice. Methods Two prospective observational cohorts of men with prostate cancer (PCa) who underwent RP in two referral centers and had GC testing post‐pros...
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doaj-7551c67ce4e64409b87f04b721ecad652021-07-29T11:55:19ZengWileyBJUI Compass2688-45262021-07-012426727410.1002/bco2.70Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registriesMohammed Shahait0Vinnie Y. T. Liu1Neha Vapiwala2Priti Lal3Jessica Kim4Eduard J. Trabulsi5Huei‐Chung Huang6Elai Davicioni7Darby J. S. Thompson8Daniel Spratt9Robert B. Den10David I. Lee11Department of Surgery King Hussein Cancer Center Amman JordanDecipher Biosciences San Diego CA USADepartment of Radiation Oncology Perelman School of Medicine University of Pennsylvania Philadelphia PA USADepartment of Pathology Perelman School of Medicine University of Pennsylvania Philadelphia PA USADepartment of Surgery University of Pennsylvania Philadelphia PA USAThomas Jefferson University Hospital Philadelphia PA USADecipher Biosciences San Diego CA USADecipher Biosciences San Diego CA USAEMMES Canada Vancouver BC CanadaUniversity of Michigan Ann Arbor MI USAThomas Jefferson University Hospital Philadelphia PA USADepartment of Surgery University of Pennsylvania Philadelphia PA USAAbstract Objective To assess the association between Genomic Classifier (GC)‐risk group and post‐radical prostatectomy treatment in clinical practice. Methods Two prospective observational cohorts of men with prostate cancer (PCa) who underwent RP in two referral centers and had GC testing post‐prostatectomy between 2013 and 2018 were included. The primary endpoint of the study was to assess the association between GC‐risk group and time to secondary therapy. Univariable (UVA) and multivariable (MVA) Cox proportional hazards models were constructed to assess the association between GC‐risk group and time to receipt of secondary therapy after RP, where secondary therapy is defined as receiving either RT or ADT after RP. Results A total of 398 patients are included in the analysis. Patients with high‐GC risk were more likely to receive any secondary therapy (OR: 6.84) compared to patients with low/intermediate‐GC risk. The proportion of high‐GC risk patients receiving RT at 2 years post‐RP was 31.5%, compared to only 6.3% among the low/intermediate‐GC risk patients. Conclusion This study demonstrates that physicians in routine practice used GC to identify high risk patients who might benefit the most from secondary treatment. As such, GC score was independent predictor of receipt of secondary treatment.https://doi.org/10.1002/bco2.70biomarkersprostate cancerradiation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammed Shahait Vinnie Y. T. Liu Neha Vapiwala Priti Lal Jessica Kim Eduard J. Trabulsi Huei‐Chung Huang Elai Davicioni Darby J. S. Thompson Daniel Spratt Robert B. Den David I. Lee |
spellingShingle |
Mohammed Shahait Vinnie Y. T. Liu Neha Vapiwala Priti Lal Jessica Kim Eduard J. Trabulsi Huei‐Chung Huang Elai Davicioni Darby J. S. Thompson Daniel Spratt Robert B. Den David I. Lee Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries BJUI Compass biomarkers prostate cancer radiation |
author_facet |
Mohammed Shahait Vinnie Y. T. Liu Neha Vapiwala Priti Lal Jessica Kim Eduard J. Trabulsi Huei‐Chung Huang Elai Davicioni Darby J. S. Thompson Daniel Spratt Robert B. Den David I. Lee |
author_sort |
Mohammed Shahait |
title |
Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title_short |
Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title_full |
Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title_fullStr |
Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title_full_unstemmed |
Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title_sort |
impact of decipher on use of post‐operative radiotherapy: individual patient analysis of two prospective registries |
publisher |
Wiley |
series |
BJUI Compass |
issn |
2688-4526 |
publishDate |
2021-07-01 |
description |
Abstract Objective To assess the association between Genomic Classifier (GC)‐risk group and post‐radical prostatectomy treatment in clinical practice. Methods Two prospective observational cohorts of men with prostate cancer (PCa) who underwent RP in two referral centers and had GC testing post‐prostatectomy between 2013 and 2018 were included. The primary endpoint of the study was to assess the association between GC‐risk group and time to secondary therapy. Univariable (UVA) and multivariable (MVA) Cox proportional hazards models were constructed to assess the association between GC‐risk group and time to receipt of secondary therapy after RP, where secondary therapy is defined as receiving either RT or ADT after RP. Results A total of 398 patients are included in the analysis. Patients with high‐GC risk were more likely to receive any secondary therapy (OR: 6.84) compared to patients with low/intermediate‐GC risk. The proportion of high‐GC risk patients receiving RT at 2 years post‐RP was 31.5%, compared to only 6.3% among the low/intermediate‐GC risk patients. Conclusion This study demonstrates that physicians in routine practice used GC to identify high risk patients who might benefit the most from secondary treatment. As such, GC score was independent predictor of receipt of secondary treatment. |
topic |
biomarkers prostate cancer radiation |
url |
https://doi.org/10.1002/bco2.70 |
work_keys_str_mv |
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