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Use of the Decipher genomic classifier among men with prostate cancer in the United States
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505256/ https://www.ncbi.nlm.nih.gov/pubmed/37525535 http://dx.doi.org/10.1093/jncics/pkad052 |
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author | Zaorsky, Nicholas G Proudfoot, James A Jia, Angela Y Zuhour, Raed Vince Jr, Randy Liu, Yang Zhao, Xin Hu, Jim Schussler, Nicola C Stevens, Jennifer L Bentler, Suzanne Cress, Rosemary D Doherty, Jennifer A Durbin, Eric B Gershman, Susan Cheng, Iona Gonsalves, Lou Hernandez, Brenda Y Liu, Lihua Morawski, Bożena M Schymura, Maria Schwartz, Stephen M Ward, Kevin C Wiggins, Charles Wu, Xiao-Cheng Shoag, Jonathan E Ponsky, Lee Dal Pra, Alan Schaeffer, Edward M Ross, Ashley E Sun, Yilun Davicioni, Elai Petkov, Valentina Spratt, Daniel E |
author_facet | Zaorsky, Nicholas G Proudfoot, James A Jia, Angela Y Zuhour, Raed Vince Jr, Randy Liu, Yang Zhao, Xin Hu, Jim Schussler, Nicola C Stevens, Jennifer L Bentler, Suzanne Cress, Rosemary D Doherty, Jennifer A Durbin, Eric B Gershman, Susan Cheng, Iona Gonsalves, Lou Hernandez, Brenda Y Liu, Lihua Morawski, Bożena M Schymura, Maria Schwartz, Stephen M Ward, Kevin C Wiggins, Charles Wu, Xiao-Cheng Shoag, Jonathan E Ponsky, Lee Dal Pra, Alan Schaeffer, Edward M Ross, Ashley E Sun, Yilun Davicioni, Elai Petkov, Valentina Spratt, Daniel E |
author_sort | Zaorsky, Nicholas G |
collection | PubMed |
description | 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 low-risk 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. |
format | Online Article Text |
id | pubmed-10505256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105052562023-09-18 Use of the Decipher genomic classifier among men with prostate cancer in the United States Zaorsky, Nicholas G Proudfoot, James A Jia, Angela Y Zuhour, Raed Vince Jr, Randy Liu, Yang Zhao, Xin Hu, Jim Schussler, Nicola C Stevens, Jennifer L Bentler, Suzanne Cress, Rosemary D Doherty, Jennifer A Durbin, Eric B Gershman, Susan Cheng, Iona Gonsalves, Lou Hernandez, Brenda Y Liu, Lihua Morawski, Bożena M Schymura, Maria Schwartz, Stephen M Ward, Kevin C Wiggins, Charles Wu, Xiao-Cheng Shoag, Jonathan E Ponsky, Lee Dal Pra, Alan Schaeffer, Edward M Ross, Ashley E Sun, Yilun Davicioni, Elai Petkov, Valentina Spratt, Daniel E JNCI Cancer Spectr Article 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 low-risk 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. Oxford University Press 2023-08-01 /pmc/articles/PMC10505256/ /pubmed/37525535 http://dx.doi.org/10.1093/jncics/pkad052 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Zaorsky, Nicholas G Proudfoot, James A Jia, Angela Y Zuhour, Raed Vince Jr, Randy Liu, Yang Zhao, Xin Hu, Jim Schussler, Nicola C Stevens, Jennifer L Bentler, Suzanne Cress, Rosemary D Doherty, Jennifer A Durbin, Eric B Gershman, Susan Cheng, Iona Gonsalves, Lou Hernandez, Brenda Y Liu, Lihua Morawski, Bożena M Schymura, Maria Schwartz, Stephen M Ward, Kevin C Wiggins, Charles Wu, Xiao-Cheng Shoag, Jonathan E Ponsky, Lee Dal Pra, Alan Schaeffer, Edward M Ross, Ashley E Sun, Yilun Davicioni, Elai Petkov, Valentina Spratt, Daniel E Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title | Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title_full | Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title_fullStr | Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title_full_unstemmed | Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title_short | Use of the Decipher genomic classifier among men with prostate cancer in the United States |
title_sort | use of the decipher genomic classifier among men with prostate cancer in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505256/ https://www.ncbi.nlm.nih.gov/pubmed/37525535 http://dx.doi.org/10.1093/jncics/pkad052 |
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