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Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries
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‐prostatecto...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988525/ https://www.ncbi.nlm.nih.gov/pubmed/35475294 http://dx.doi.org/10.1002/bco2.70 |
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author | Shahait, Mohammed Liu, Vinnie Y. T. Vapiwala, Neha Lal, Priti Kim, Jessica Trabulsi, Eduard J. Huang, Huei‐Chung Davicioni, Elai Thompson, Darby J. S. Spratt, Daniel Den, Robert B. Lee, David I. |
author_facet | Shahait, Mohammed Liu, Vinnie Y. T. Vapiwala, Neha Lal, Priti Kim, Jessica Trabulsi, Eduard J. Huang, Huei‐Chung Davicioni, Elai Thompson, Darby J. S. Spratt, Daniel Den, Robert B. Lee, David I. |
author_sort | Shahait, Mohammed |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8988525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89885252022-04-25 Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries Shahait, Mohammed Liu, Vinnie Y. T. Vapiwala, Neha Lal, Priti Kim, Jessica Trabulsi, Eduard J. Huang, Huei‐Chung Davicioni, Elai Thompson, Darby J. S. Spratt, Daniel Den, Robert B. Lee, David I. BJUI Compass ORIGINAL ARTICLES 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. John Wiley and Sons Inc. 2021-01-24 /pmc/articles/PMC8988525/ /pubmed/35475294 http://dx.doi.org/10.1002/bco2.70 Text en © 2021 The Authors. BJUI Compass published by John Wiley & Sons Ltd on behalf of BJU International Company https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | ORIGINAL ARTICLES Shahait, Mohammed Liu, Vinnie Y. T. Vapiwala, Neha Lal, Priti Kim, Jessica Trabulsi, Eduard J. Huang, Huei‐Chung Davicioni, Elai Thompson, Darby J. S. Spratt, Daniel Den, Robert B. Lee, David I. Impact of Decipher on use of post‐operative radiotherapy: Individual patient analysis of two prospective registries |
title | 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_short | 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 |
topic | ORIGINAL ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988525/ https://www.ncbi.nlm.nih.gov/pubmed/35475294 http://dx.doi.org/10.1002/bco2.70 |
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