Trial reportEuropean urology oncology2026
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.
Trial report in European urology oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Prediction of molecular subtypes from histology: AI-driven analysis of prostate cancer morphological patterns and therapeutic implications.NPJ precision oncology · 2026Article
- Optimizing Radiation Therapy for Localized Prostate Cancer: Exploring Synergies With Androgen Deprivation Therapy and Novel Systemic Agents.Seminars in radiation oncology · 2025Review
- Discordant molecular biomarkers in unfavorable intermediate-risk localized prostate cancer.CA: a cancer journal for cliniciansArticle
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
BACKGROUND AND
objectiveLong-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.
methodsBiopsy 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 (p 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.
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