Armstrong Andrew J, Liu Vinnie Y T, Selvaraju Ramprasaath R, Chen Emmalyn, Simko Jeffry P, DeVries Sandy, Sartor Oliver, Sandler Howard M, Mohamad Osama, Huang Huei-Chung, Griffin Jacqueline, Yamashita Rikiya, Esteva Andre, Tran Phuoc T, Spratt Daniel E, Carson John Hi, Peters Christopher, Gore Elizabeth, Lee Steve P, Monson Jedidiah M, Augspurger Mark E, El-Gayed Ali, Rodgers Joseph P, McKay Rana, Morgan Todd, Feng Felix Y, Nguyen Paul L
Duke University Medical Center, Durham, NC.
Artera Inc, Los Altos, CA.
J Clin Oncol. 2025 Apr 16:JCO2400365. doi: 10.1200/JCO.24.00365.
Long-term androgen deprivation therapy (ADT) improves survival in men with high-risk localized prostate cancer (PCa) receiving radiotherapy (RT). Predictive biomarkers are needed to guide ADT duration.
A multimodal artificial intelligence (MMAI)-derived predictive biomarker was trained for long-term (LT) versus short-term (ST) ADT using pretreatment digital prostate biopsy images and clinical data (age, prostate-specific antigen, Gleason, and T stage) from six NRG Oncology phase III randomized radiotherapy trials. The novel MMAI-derived biomarker was developed to predict the differential benefit of LT-ADT on the primary end point, distant metastasis (DM). MMAI predictive utility was validated on a seventh randomized trial, RTOG 9202 (N = 1,192), which randomly assigned men to RT + ST-ADT (4 months) versus RT + LT-ADT (28 months). Fine-Gray and cumulative incidence analyses for DM, and secondarily, death with DM, were performed. Deaths without DM were treated as competing risks.
In the validation cohort (median follow-up, 17.2 years), LT-ADT significantly improved DM from 26% to 17% (subdistribution hazard ratio [sHR], 0.64 [95% CI, 0.50 to 0.82], < .001). A significant biomarker-treatment predictive interaction was observed ( = .04) for DM, whereby MMAI biomarker-positive men (n = 785, 66%) had reduced DM with LT-ADT versus ST-ADT (sHR, 0.55 [95% CI, 0.41 to 0.73], < .001), whereas no treatment benefit was observed for MMAI biomarker-negative men (n = 407; sHR, 1.06 [95% CI, 0.61 to 1.84], = .84). The estimated 15-year DM risk difference between RT + LT-ADT and RT + ST-ADT was 14% in MMAI biomarker-positive men and 0% in MMAI biomarker-negative men. The MMAI biomarker was also prognostic for DM, irrespective of treatment (sHR, 2.35 [95% CI, 1.72 to 3.19], < .001).
To our knowledge, the MMAI model is the first validated predictive biomarker to guide ADT duration with RT in localized/locally advanced PCa. Approximately one third of men with high-risk PCa could safely be spared the additional 24 months of ADT and the associated morbidity.
长期雄激素剥夺治疗(ADT)可提高接受放疗(RT)的高危局限性前列腺癌(PCa)男性的生存率。需要预测性生物标志物来指导ADT的持续时间。
使用来自六项NRG肿瘤学III期随机放疗试验的治疗前数字前列腺活检图像和临床数据(年龄、前列腺特异性抗原、 Gleason评分和T分期),训练一种多模式人工智能(MMAI)衍生的预测性生物标志物,用于区分长期(LT)与短期(ST)ADT。开发这种新型MMAI衍生的生物标志物是为了预测LT-ADT对主要终点远处转移(DM)的不同益处。MMAI的预测效用在第七项随机试验RTOG 9202(N = 1192)中得到验证,该试验将男性随机分为RT + ST-ADT(4个月)与RT + LT-ADT(28个月)。对DM以及其次伴有DM的死亡进行了Fine-Gray和累积发病率分析。无DM的死亡被视为竞争风险。
在验证队列(中位随访时间为17.2年)中,LT-ADT显著将DM发生率从26%降至17%(亚分布风险比[sHR],0.64[95%CI,0.50至0.82],P <.001)。观察到DM存在显著的生物标志物-治疗预测性相互作用(P =.04),即MMAI生物标志物阳性的男性(n = 785,66%)接受LT-ADT与ST-ADT相比,DM发生率降低(sHR,0.55[95%CI,0.41至0.73],P <.001),而MMAI生物标志物阴性的男性(n = 407;sHR,1.06[95%CI,0.61至1.84],P =.84)未观察到治疗益处。RT + LT-ADT与RT + ST-ADT之间估计的15年DM风险差异在MMAI生物标志物阳性男性中为14%,在MMAI生物标志物阴性男性中为0%。无论治疗如何,MMAI生物标志物对DM也具有预后价值(sHR,2.35[95%CI,1.72至3.19],P <.001)。
据我们所知,MMAI模型是首个经过验证的预测性生物标志物,可用于指导局限性/局部晚期PCa患者放疗时ADT的持续时间。约三分之一的高危PCa男性可以安全地避免额外24个月的ADT及其相关并发症。