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人工智能检测的 TIL(肿瘤浸润淋巴细胞)与抗 PD-1 治疗黑色素瘤的结局

英文原题:Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes and Outcomes in Anti-PD-1-Based Treated Melanoma.

PubMed 2025/12/01(内容时间) JAMA Oncol Q1 · IF 23.9(JCR 2025)

研究概要

在这项队列研究中,对于晚期黑色素瘤患者,治疗前苏木精-伊红染色切片上 AI 检测到的 TIL 水平较高与免疫检查点抑制剂应答及生存改善独立相关。

中文摘要

重要性:目前,易获取且与接受免疫检查点抑制剂(ICI)治疗的黑色素瘤患者应答相关的生物标志物有限。目的:评估人工智能(AI)检测的TIL(肿瘤浸润淋巴细胞),能否作为ICI治疗患者应答和生存的生物标志物。设计、研究环境和参与者:这项多中心队列研究纳入2016年1月至2023年1月期间,在荷兰11家黑色素瘤治疗中心接受一线抗程序性细胞死亡蛋白1(PD-1)单药或联合抗细胞毒性T淋巴细胞相关蛋白4(CTLA-4)治疗的晚期黑色素瘤患者。数据分析时间为2025年1月至7月。干预:所有患者均接受一线抗PD-1单药或联合抗CTLA-4治疗。主要结局和测量:研究者使用Hover-NeXt模型,测定苏木精-伊红染色的治疗前转移灶中,经人工标注肿瘤区域内的TIL百分比。该模型基于独立黑色素瘤数据集训练和评估,该数据集包含161835个经病理医师验证并人工标注的细胞。主要结局为客观缓解率(ORR);次要结局为无进展生存期(PFS)和总生存期(OS)。按照免疫肿瘤学生物标志物工作组指南进行人工TIL评分,并以Spearman相关系数评估其与AI检测TIL的相关性。采用逻辑回归和Cox比例风险回归,并对年龄、性别、疾病分期、ICI类型、BRAF状态、脑转移、乳酸脱氢酶水平及体能状态进行校正。结果:纳入的1202例晚期皮肤黑色素瘤患者中,女性445例(37.0%),男性757例(63.0%),中位年龄67.0岁(四分位距57.0–74.0岁)。中位随访时间为36.3个月(95%置信区间34.0–39.1个月)。共有1202例患者有转移灶样本,其中423例接受联合治疗。TIL百分比中位数为9.9%(范围0.3%–69.4%)。TIL每增加10%,ORR(校正后比值比1.40;95%置信区间1.23–1.59)、PFS(校正后风险比0.85;95%置信区间0.79–0.92)及OS(校正后风险比0.83;95%置信区间0.76–0.91)均有所改善。抗PD-1单药和抗PD-1联合抗CTLA-4治疗患者的结果一致。与人工TIL评分相比,AI检测TIL与应答和生存的相关性始终更强。结论与意义:在这项队列研究中,晚期黑色素瘤患者治疗前苏木精-伊红切片上较高的AI检测TIL水平与更好的ICI应答和生存独立相关。鉴于常规组织学切片即可进行TIL评分,TIL可能成为预测ICI治疗结局的生物标志物。为促进更广泛的验证,Hover-NeXt架构和模型权重已公开。

展开英文摘要原文

IMPORTANCE: Easy and accessible biomarkers associated with response to immune checkpoint inhibition (ICI)-treated melanoma are limited. OBJECTIVE: To evaluate artificial intelligence (AI)-detected tumor-infiltrating lymphocytes (TILs) on pretreatment melanoma metastases as a biomarker for response and survival in patients treated with ICIs. DESIGN, SETTING, AND PARTICIPANTS: This multicenter cohort study included patients with advanced melanoma treated with first-line anti-programmed cell death 1 protein (PD-1) with or without anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) between January 2016 and January 2023 at 11 melanoma treatment centers in the Netherlands. Data were analyzed from January to July 2025. EXPOSURE: All patients received first-line anti-PD-1 with or without anti-CTLA-4. MAIN OUTCOMES AND MEASURES: The percentage of TILs inside manually annotated tumor area in hematoxylin-eosin-stained pretreatment metastases was determined using the Hover-NeXt model trained and evaluated on an independent melanoma dataset containing 161 835 pathologist-verified manually annotated cells. The primary outcome was objective response rate (ORR); secondary outcomes were progression-free survival (PFS) and overall survival (OS). Correlation with manual TILs, scored according to the guidelines stated by the Immuno-Oncology Biomarkers Working Group, was evaluated with Spearman correlation coefficients. Logistic regression and Cox proportional regression were conducted, adjusted for age, sex, disease stage, ICI type, BRAF status, brain metastases, lactate dehydrogenase level, and performance status. RESULTS: Of 1202 included patients with advanced cutaneous melanoma, 445 (37.0%) were female and 757 (63.0%) were male, and the median (IQR) age was 67.0 (57.0-74.0) years. The median follow-up was 36.3 months (95% CI, 34.0-39.1). Metastatic melanoma specimens were available for 1202 patients, of whom 423 received combination therapy. The median (range) TIL percentage was 9.9% (0.3%-69.4%). A 10% increase in TILs was associated with increased ORR (adjusted odds ratio, 1.40; 95% CI, 1.23-1.59), PFS (adjusted hazard ratio, 0.85; 95% CI, 0.79-0.92), and OS (adjusted hazard ratio, 0.83; 95% CI, 0.76-0.91). Results were consistent for both patients treated with anti-PD-1 monotherapy and patients treated with combination treatment with anti-PD-1 plus anti-CTLA-4. When comparing manual TIL scoring with AI-detected TILs, associations with response and survival were consistently stronger for AI-detected TILs. CONCLUSIONS AND RELEVANCE: In this cohort study, among patients with advanced melanoma, higher levels of AI-detected TILs on pretreatment hematoxylin-eosin slides were independently associated with improved ICI response and survival. Given the accessibility of TIL scoring on routine histology, TILs may serve as a biomarker for ICI outcomes. To facilitate broader validation, the Hover-NeXt architecture and model weights are publicly available.

论文信息

作者
Schuiveling M、van Duin IAJ、Ter Maat LS、van der Weerd JC、Verheijden RJ、van den Berkmortel F、Blank CU、Breimer GE
第一作者单位
Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.Netherlands
通讯作者单位
Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.Netherlands
文献类型
多中心研究
期刊
JAMA oncology2025 Dec 1
原文标识
PubMed 41100131 · DOI 10.1001/jamaoncol.2025.4072