Krishnan R. Patel , Paul L. Nguyen , James A. Proudfoot , Yang Liu , Alan Dal Pra , Daniel E. Spratt , Alan Pollack , Howard M. Sandler , Jason A. Efstathiou , Colleen Lawton , Jeffry P. Simko , Seth A. Rosenthal , Kenneth L. Zeitzer , Lucas C. Mendez , Alan C. Hartford , William A. Hall , Anand B. Desai , Stephanie L. Pugh , Elai Davicioni , Phuoc T. Tran , Felix Y. Feng
{"title":"基于活检的高危前列腺癌基底腔亚型分类器:NRG Oncology/RTOG 9202、9413 和 9902 3 期试验的综合分析。","authors":"Krishnan R. Patel , Paul L. Nguyen , James A. Proudfoot , Yang Liu , Alan Dal Pra , Daniel E. Spratt , Alan Pollack , Howard M. Sandler , Jason A. Efstathiou , Colleen Lawton , Jeffry P. Simko , Seth A. Rosenthal , Kenneth L. Zeitzer , Lucas C. Mendez , Alan C. Hartford , William A. Hall , Anand B. Desai , Stephanie L. Pugh , Elai Davicioni , Phuoc T. Tran , Felix Y. Feng","doi":"10.1016/j.euo.2024.10.017","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objective</h3><div>Long-term (LT) androgen deprivation therapy (ADT) has been found to be beneficial to patients with high-risk prostate cancer (PCa). However, administration of LT-ADT to all patients with high-risk PCa may lead to overtreatment. Enhanced risk stratification using genomic classifiers (such as the recently developed prostate subtyping classifier [PSC]) might be useful. This study aims to characterize the prognostic and predictive ability of the PSC in patients with high-risk PCa undergoing radiotherapy long-term (LT; 24–28 mo) versus short-term (ST; 4 mo) ADT.</div></div><div><h3>Methods</h3><div>Biopsy samples from three randomized, phase 3 trials–NRG/RTOG 9202, 9413, and 9902–were classified as either PSC basal or luminal. The prognostic and predictive values of PSC for each oncologic endpoint (biochemical failure [BF], distant metastasis [DM], metastasis-free survival [MFS], PCa-specific mortality [PCSM], overall survival [OS]) and other cause-mortality (OCM) were assessed with Cox proportional hazards (MFS, OCM, and OS), Fine-Gray (BF, DM, and PCSM), and restricted mean survival time (RMST) models.</div></div><div><h3>Key findings and limitations</h3><div>On a multivariable analysis, the basal subtype was found to have a worse prognosis for MFS (hazard ratio [HR] 1.8 [1.3–2.5], <em>p</em> < 0.001), PCSM (subdistribution HR 2.4 [95% confidence interval {CI} 1.4–4.1], <em>p</em> = 0.001), and OS (HR 1.8 [1.3–2.6], <em>p</em> < 0.001). Ten-year PCSM was 15% better for the luminal subtype than for the basal subtype (11% [95% CI 6–15%] vs 26% [95% CI 17–35%]). A significant interaction between ADT duration (LT vs ST) and PSC subtype (basal vs luminal) was observed for PCSM (<em>p</em><sub>interaction</sub> = 0.008), leading to the observation that 10-yr PCSM was improved with LT-ADT only in patients with basal-type tumors (5% [95% CI 0–11%] vs 42% [29–56%], <em>p</em> < 0.001). Improvements in 10-yr RMST with LT-ADT were greater for basal tumors for oncologic endpoints with the exception of OCM.</div></div><div><h3>Conclusions and clinical implications</h3><div>PSC is both a prognostic and a predictive biomarker for patients who benefit from LT-ADT. PSC subtypes may be used to personalize ADT recommendations for patients with high-risk PCa, pending further validation in a prospective study.</div></div><div><h3>Patient summary</h3><div>In this study, we tried to understand the usefulness of a new genomic test in patients with high-risk, nonmetastatic prostate cancer who underwent radiation therapy and hormonal therapy (HT). We found that this test can help determine a patient’s prognosis (eg, a patient’s chance of having the cancer return) and, more importantly, personalize treatment decisions by understanding which patients may benefit from long-term HT. This has the potential to save many patients who may not benefit from prolonged HT from “overtreatment” or the unnecessary side effects of such treatment.</div></div>","PeriodicalId":12256,"journal":{"name":"European urology oncology","volume":"9 2","pages":"Pages 413-421"},"PeriodicalIF":9.3000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biopsy-based Basal-luminal Subtyping Classifier in High-risk Prostate Cancer: A Combined Analysis of the NRG Oncology/RTOG 9202, 9413, and 9902 Phase 3 Trials\",\"authors\":\"Krishnan R. Patel , Paul L. Nguyen , James A. Proudfoot , Yang Liu , Alan Dal Pra , Daniel E. Spratt , Alan Pollack , Howard M. Sandler , Jason A. Efstathiou , Colleen Lawton , Jeffry P. Simko , Seth A. Rosenthal , Kenneth L. Zeitzer , Lucas C. Mendez , Alan C. Hartford , William A. Hall , Anand B. Desai , Stephanie L. Pugh , Elai Davicioni , Phuoc T. Tran , Felix Y. Feng\",\"doi\":\"10.1016/j.euo.2024.10.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and objective</h3><div>Long-term (LT) androgen deprivation therapy (ADT) has been found to be beneficial to patients with high-risk prostate cancer (PCa). However, administration of LT-ADT to all patients with high-risk PCa may lead to overtreatment. Enhanced risk stratification using genomic classifiers (such as the recently developed prostate subtyping classifier [PSC]) might be useful. This study aims to characterize the prognostic and predictive ability of the PSC in patients with high-risk PCa undergoing radiotherapy long-term (LT; 24–28 mo) versus short-term (ST; 4 mo) ADT.</div></div><div><h3>Methods</h3><div>Biopsy samples from three randomized, phase 3 trials–NRG/RTOG 9202, 9413, and 9902–were classified as either PSC basal or luminal. The prognostic and predictive values of PSC for each oncologic endpoint (biochemical failure [BF], distant metastasis [DM], metastasis-free survival [MFS], PCa-specific mortality [PCSM], overall survival [OS]) and other cause-mortality (OCM) were assessed with Cox proportional hazards (MFS, OCM, and OS), Fine-Gray (BF, DM, and PCSM), and restricted mean survival time (RMST) models.</div></div><div><h3>Key findings and limitations</h3><div>On a multivariable analysis, the basal subtype was found to have a worse prognosis for MFS (hazard ratio [HR] 1.8 [1.3–2.5], <em>p</em> < 0.001), PCSM (subdistribution HR 2.4 [95% confidence interval {CI} 1.4–4.1], <em>p</em> = 0.001), and OS (HR 1.8 [1.3–2.6], <em>p</em> < 0.001). Ten-year PCSM was 15% better for the luminal subtype than for the basal subtype (11% [95% CI 6–15%] vs 26% [95% CI 17–35%]). A significant interaction between ADT duration (LT vs ST) and PSC subtype (basal vs luminal) was observed for PCSM (<em>p</em><sub>interaction</sub> = 0.008), leading to the observation that 10-yr PCSM was improved with LT-ADT only in patients with basal-type tumors (5% [95% CI 0–11%] vs 42% [29–56%], <em>p</em> < 0.001). Improvements in 10-yr RMST with LT-ADT were greater for basal tumors for oncologic endpoints with the exception of OCM.</div></div><div><h3>Conclusions and clinical implications</h3><div>PSC is both a prognostic and a predictive biomarker for patients who benefit from LT-ADT. PSC subtypes may be used to personalize ADT recommendations for patients with high-risk PCa, pending further validation in a prospective study.</div></div><div><h3>Patient summary</h3><div>In this study, we tried to understand the usefulness of a new genomic test in patients with high-risk, nonmetastatic prostate cancer who underwent radiation therapy and hormonal therapy (HT). We found that this test can help determine a patient’s prognosis (eg, a patient’s chance of having the cancer return) and, more importantly, personalize treatment decisions by understanding which patients may benefit from long-term HT. This has the potential to save many patients who may not benefit from prolonged HT from “overtreatment” or the unnecessary side effects of such treatment.</div></div>\",\"PeriodicalId\":12256,\"journal\":{\"name\":\"European urology oncology\",\"volume\":\"9 2\",\"pages\":\"Pages 413-421\"},\"PeriodicalIF\":9.3000,\"publicationDate\":\"2026-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European urology oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2588931124002463\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European urology oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2588931124002463","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Biopsy-based Basal-luminal Subtyping Classifier in High-risk Prostate Cancer: A Combined Analysis of the NRG Oncology/RTOG 9202, 9413, and 9902 Phase 3 Trials
Background and objective
Long-term (LT) androgen deprivation therapy (ADT) has been found to be beneficial to patients with high-risk prostate cancer (PCa). However, administration of LT-ADT to all patients with high-risk PCa may lead to overtreatment. Enhanced risk stratification using genomic classifiers (such as the recently developed prostate subtyping classifier [PSC]) might be useful. This study aims to characterize the prognostic and predictive ability of the PSC in patients with high-risk PCa undergoing radiotherapy long-term (LT; 24–28 mo) versus short-term (ST; 4 mo) ADT.
Methods
Biopsy samples from three randomized, phase 3 trials–NRG/RTOG 9202, 9413, and 9902–were classified as either PSC basal or luminal. The prognostic and predictive values of PSC for each oncologic endpoint (biochemical failure [BF], distant metastasis [DM], metastasis-free survival [MFS], PCa-specific mortality [PCSM], overall survival [OS]) and other cause-mortality (OCM) were assessed with Cox proportional hazards (MFS, OCM, and OS), Fine-Gray (BF, DM, and PCSM), and restricted mean survival time (RMST) models.
Key findings and limitations
On a multivariable analysis, the basal subtype was found to have a worse prognosis for MFS (hazard ratio [HR] 1.8 [1.3–2.5], p < 0.001), PCSM (subdistribution HR 2.4 [95% confidence interval {CI} 1.4–4.1], p = 0.001), and OS (HR 1.8 [1.3–2.6], p < 0.001). Ten-year PCSM was 15% better for the luminal subtype than for the basal subtype (11% [95% CI 6–15%] vs 26% [95% CI 17–35%]). A significant interaction between ADT duration (LT vs ST) and PSC subtype (basal vs luminal) was observed for PCSM (pinteraction = 0.008), leading to the observation that 10-yr PCSM was improved with LT-ADT only in patients with basal-type tumors (5% [95% CI 0–11%] vs 42% [29–56%], p < 0.001). Improvements in 10-yr RMST with LT-ADT were greater for basal tumors for oncologic endpoints with the exception of OCM.
Conclusions and clinical implications
PSC is both a prognostic and a predictive biomarker for patients who benefit from LT-ADT. PSC subtypes may be used to personalize ADT recommendations for patients with high-risk PCa, pending further validation in a prospective study.
Patient summary
In this study, we tried to understand the usefulness of a new genomic test in patients with high-risk, nonmetastatic prostate cancer who underwent radiation therapy and hormonal therapy (HT). We found that this test can help determine a patient’s prognosis (eg, a patient’s chance of having the cancer return) and, more importantly, personalize treatment decisions by understanding which patients may benefit from long-term HT. This has the potential to save many patients who may not benefit from prolonged HT from “overtreatment” or the unnecessary side effects of such treatment.
期刊介绍:
Journal Name: European Urology Oncology
Affiliation: Official Journal of the European Association of Urology
Focus:
First official publication of the EAU fully devoted to the study of genitourinary malignancies
Aims to deliver high-quality research
Content:
Includes original articles, opinion piece editorials, and invited reviews
Covers clinical, basic, and translational research
Publication Frequency: Six times a year in electronic format