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Background
The ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT) improves overall survival (OS) in metastatic hormone-sensitive prostate cancer (mHSPC), but treatment response is heterogeneous .
ENZAMET试验确立了恩杂鲁胺联合雄激素剥夺治疗(ADT)可以改善转移性激素敏感性前列腺癌(mHSPC)的总生存率(OS),但治疗反应具有异质性。
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We tested whether the artificial intelligence pathology image classifier (APIC), previously developed and locked in CHAARTED , predicts OS benefit from enzalutamide in ENZAMET .
我们测试了之前在CHAARTED中开发并锁定的人工智能病理图像分类器(APIC)是否能预测ENZAMET中恩杂鲁胺的OS获益。
experimental_design
This biomarker study applied APIC to digitized hematoxylin and eosin specimens from ENZAMET [Australian and New Zealand Urogenital and Prostate Cancer Trials Group (ANZUP) 1304, NCT02446405].
这项生物标志物研究将APIC应用于ENZAMET的数字化苏木精和伊红标本[澳大利亚和新西兰泌尿生殖和前列腺癌试验组(ANZUP) 1304, NCT02446405]。
ENZAMET randomized participants with mHSPC to ADT plus enzalutamide or nonsteroidal antiandrogen (NSAA), with early concurrent docetaxel permitted .
ENZAMET将mHSPC的参与者随机分为ADT加恩杂鲁胺组或非甾体抗雄激素(NSAA)组,允许早期同时使用多西他赛。
APIC was applied without modification or retraining .
APIC的应用没有修改或重新训练。
The prespecified primary analysis evaluated the treatment-by-APIC interaction for OS using Cox models adjusted for standard clinical factors .
预先设定的主要分析评估了使用Cox模型调整标准临床因素后的治疗与APIC交互作用对OS的影响。
Prespecified sensitivity analysis excluded participants receiving early concurrent docetaxel .
预先设定的敏感性分析排除了接受早期同时多西他赛的参与者。
Results
Among 1,125 participants , 492 with digitized tissue (median follow-up , 68.8 months ) were eligible .
在1,125名参与者中,有492名具有数字化组织(中位随访时间,68.8个月)符合资格。
APIC classified 316 (64%) as APIC negative and 176 (36%) as APIC positive .
APIC将316例(64%)分类为APIC阴性,176例(36%)为APIC阳性。
APIC significantly modified enzalutamide benefit (interaction P = 0.014).
APIC显著改变了恩杂鲁胺的益处(交互作用P = 0.014)。
APIC-negative disease showed improved survival with enzalutamide versus NSAA [HR, 0.50; 95% confidence interval (CI), 0.35-0.73; 60-month OS , 76.5% vs . 58.3%], whereas APIC-positive disease showed limited evidence of benefit (HR, 1.04; 95% CI , 0.67-1.62; 60-month OS , 55.6% vs . 58.8%).
APIC阴性疾病的患者在接受恩杂鲁胺治疗后,生存率有所提高,与NSAA相比[风险比,0.50;95%置信区间(CI),0.35-0.73;60个月总生存率,76.5%对58.3%],而APIC阳性疾病的患者显示出有限的益处证据(风险比,1.04;95% CI,0.67-1.62;60个月总生存率,55.6%对58.8%)。
In low-volume disease , enzalutamide improved survival in APIC-negative (HR, 0.31; 95% CI , 0.16-0.62) but not APIC-positive disease (HR, 1.04; 95% CI , 0.53-2.06; interaction P = 0.015).
在低体积疾病中,恩杂鲁胺改善了APIC阴性患者的生存率(风险比,0.31;95% CI,0.16-0.62),但对APIC阳性疾病患者没有改善(风险比,1.04;95% CI,0.53-2.06;交互作用P = 0.015)。
For non-docetaxel-treated participants , enzalutamide benefit was greater in APIC-negative (HR, 0.40; 60-month OS 82% vs . 61.0%) than in APIC-positive participants (HR, 0.79; 60-month OS , 62.8% vs . 57.6%).
对于未接受多西他赛治疗的参与者,恩杂鲁胺在APIC阴性患者中的益处更大(风险比,0.40;60个月总生存率82%对61.0%)相比于APIC阳性患者(风险比,0.79;60个月总生存率,62.8%对57.6%)。
Conclusions
The presence of APIC-negative disease identified participants with a major improvement in OS with the addition of enzalutamide to ADT compared with the addition of NSAA .
APIC阴性疾病的出现,确定了与ADT联合使用恩杂鲁胺相比,联合使用NSAA的患者总生存率有显著改善。
本文献翻译由 AI 辅助生成,仅供文献精读与英语学习参考。临床决策请以 PubMed / PMC 原文为准。
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