Association of Molecular Subtypes With Differential Outcome to Apalutamide Treatment in Nonmetastatic Castration-Resistant Prostate Cancer

医学 危险系数 前列腺癌 内科学 肿瘤科 比例危险模型 恩扎鲁胺 队列 置信区间 癌症 雄激素受体
作者
Felix Y. Feng,Shibu Thomas,Fred Saad,Michael Gormley,Margaret K. Yu,Deborah Ricci,Brendan Rooney,Sabine Brookman‐May,Sharon McCarthy,David Olmos,Simon Chowdhury,Boris Hadaschik,Yang Liu,Elai Davicioni,Matthew R. Smith,Eric J. Small
出处
期刊:JAMA Oncology [American Medical Association]
卷期号:7 (7): 1005-1005 被引量:28
标识
DOI:10.1001/jamaoncol.2021.1463
摘要

Importance

There is a need to identify prognostic biomarkers to guide treatment intensification in patients with nonmetastatic castration-resistant prostate cancer (nmCRPC).

Objective

To examine whether molecular subtypes predict response to apalutamide, using archived primary tumor samples from the randomized, double-blind, phase 3 SPARTAN trial.

Design, Setting, and Participants

In this cohort study, gene expression data from 233 archived samples from patients with nmCRPC enrolled in the SPARTAN trial were generated using a human exon microarray. The present analysis was conducted from May 10, 2018, to October 15, 2020.

Interventions

Patients were randomized (2:1) to apalutamide, 240 mg/d, with androgen deprivation therapy (apalutamide+ADT) or placebo+ADT.

Main Outcomes and Measures

Patients were stratified into high-risk and low-risk categories for developing metastases based on genomic classifier (GC) scores for high (GC >0.6) and low to average (GC≤0.6) and into basal and luminal subtypes; associations between these molecular subtypes and metastasis-free survival (MFS), overall survival (OS), and progression-free survival 2 (PFS2) were evaluated using Cox proportional hazards regression and Kaplan-Meier analysis.

Results

Median age of the 233 included patients was 73 (range, 49-91) years. A total of 116 of 233 patients (50%) in the SPARTAN biomarker subset had high GC scores. Although all patients receiving apalutamide+ADT had improved outcomes, having high GC scores was associated with the greatest improvement in MFS (hazard ratio [HR], 0.21; 95% CI, 0.11-0.40;P < .001), OS (HR, 0.52; 95% CI, 0.29-0.94;P = .03), and PFS2 (HR, 0.39; 95% CI, 0.23-0.67;P = .001) vs placebo+ADT. In total, 152 of 233 patients (65%) had the basal molecular subtype. Although there were no significant differences in MFS, PFS2, or OS between patients with the luminal vs basal subtype in the placebo+ADT arm, patients with the luminal subtype in the apalutamide+ADT arm had a significantly longer MFS (apalutamide+ADT: HR, 0.40; 95% CI, 0.18-0.91;P = .03; placebo+ADT: HR, 0.66; 95% CI, 0.33-1.31;P = .23) compared with patients with basal subtype; similar trends were observed for OS (apalutamide+ADT: HR, 0.50; 95% CI, 0.25-0.98;P = .04; placebo+ADT: HR, 0.78; 95% CI, 0.38-1.60;P = .50), and PFS2 (apalutamide+ADT: HR, 0.71; 95% CI, 0.42-1.22;P = .22; placebo+ADT: HR, 0.72; 95% CI, 0.38-1.39;P = .33). In regression analysis, the luminal-basal subtype score was significantly associated with MFS in patients receiving apalutamide+ADT (HR, 2.65; 95% CI, 1.15-6.08;P = .02), whereas GC score was significantly associated with MFS in placebo+ADT recipients (HR, 2.09; 95% CI, 1.02-4.27;P = .04).

Conclusions and Relevance

The findings of this study suggest that the GC score and basal-luminal subtype derived from archived tumor specimens may be biomarkers of response to apalutamide+ADT in the nmCRPC setting. Although overall, the addition of apalutamide to ADT was beneficial, higher-risk and luminal subtypes appeared to benefit most. Obtaining GC scores may be useful for identifying patients for early treatment intensification with apalutamide, and basal-luminal subtyping may be a beneficial approach for patient selection for further treatment intensification in trials combining novel therapies with apalutamide.
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