Dissection of Progressive Disease Patterns for a Modified Classification for Immunotherapy

IF 22.5 1区 医学 Q1 ONCOLOGY JAMA Oncology Pub Date : 2024-12-26 DOI:10.1001/jamaoncol.2024.5672
Jonas Saal, Markus Eckstein, Manuel Ritter, Peter Brossart, Julian Luetkens, Jörg Ellinger, Viktor Grünwald, Michael Hölzel, Niklas Klümper
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Abstract

ImportanceProgressive disease (PD) in patients treated with immune checkpoint inhibitors (ICIs) varies widely in outcomes according to the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1. Efforts to modify RECIST for ICI treatment have not resolved the heterogeneity in PD patterns, posing a clinical challenge.ObjectiveTo develop and validate a modified PD classification based on PD patterns and evaluate its association with postprogression survival (PPOS) in patients treated with the programmed cell death protein ligand 1 antibody atezolizumab across various solid tumors.Design, Setting, and ParticipantsThis study analyzed data from 5 phase 3 trials (IMmotion151, IMvigor211, OAK, Impower133, and IMspire150) involving patients treated with atezolizumab for renal cell carcinoma (RCC), urothelial carcinoma, small cell lung cancer, non–small cell lung cancer, and melanoma. This post hoc analysis was conducted from March to September 2024.ExposureTreatment with atezolizumab.Main Outcomes and MeasuresThe primary outcome was the association of PD patterns with PPOS. Seven PD patterns were identified based on the enlargement of target and nontarget lesions or new lesions and their combinations.ResultsA total of 1377 patients were analyzed across the 5 trials. In RCC, 7 PD patterns significantly affected prognosis. The 6-month PPOS probability ranged from 26% for progression in target and nontarget lesions plus new lesions to 90% for progression in either target or nontarget lesions alone. A modified PD classification was developed that categorized PD into 3 risk levels: low risk (progression of existing lesions), intermediate risk (new lesions without progression of existing lesions), and high risk (progression of existing lesions plus new lesions). This score was associated with PPOS in ICI-treated RCC, with hazard ratios of 0.23 (95% CI, 0.13-0.41; P &amp;lt; .001) and 0.39 (95% CI, 0.23-0.66; P &amp;lt; .001) for low-risk and intermediate-risk PD compared with high-risk PD, respectively. Validation in additional trials confirmed the score’s applicability across various tumors.Conclusions and RelevanceIn this study, a survival score was developed based on PD patterns. The risk classification was associated with PPOS across various solid tumors treated with immunotherapy and may therefore enhance prognostication and clinical decision-making, potentially providing a valuable tool for treating patients with PD who are receiving immunotherapy.
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进展性疾病模式的解剖以改进免疫治疗分类
根据实体瘤应答评价标准(RECIST) 1.1版,接受免疫检查点抑制剂(ICIs)治疗的进行性疾病(PD)患者的预后差异很大。改良RECIST用于ICI治疗的努力并没有解决PD模式的异质性,这给临床带来了挑战。目的:开发和验证基于PD模式的改进PD分类,并评估其与各种实体肿瘤患者接受程序性细胞死亡蛋白配体1抗体atezolizumab治疗的进展后生存(PPOS)的关系。设计、环境和参与者本研究分析了5项3期试验(IMmotion151、IMvigor211、OAK、Impower133和IMspire150)的数据,涉及使用atezolizumab治疗肾细胞癌(RCC)、尿路上皮癌、小细胞肺癌、非小细胞肺癌和黑色素瘤的患者。这项事后分析是在2024年3月至9月进行的。使用atezolizumab治疗。主要结局和测量主要结局是PD模式与PPOS的关联。根据目标病变和非目标病变的扩大或新病变及其组合,确定了7种PD模式。结果5项试验共分析了1377例患者。在RCC中,7种PD类型显著影响预后。6个月的PPOS概率范围从目标病变和非目标病变进展合并新病变的26%到单独目标病变或非目标病变进展的90%。提出了一种改进的PD分类方法,将PD分为3个风险级别:低风险(现有病变进展)、中风险(新发病变无进展)和高风险(现有病变进展加新发病变)。该评分与CI治疗的RCC的PPOS相关,风险比为0.23 (95% CI, 0.13-0.41;P, amp;肝移植;.001)和0.39 (95% CI, 0.23-0.66;P, amp;肝移植;.001),低危和中危PD患者与高危PD患者相比,差异有统计学意义。其他试验的验证证实了该评分在各种肿瘤中的适用性。结论和相关性在本研究中,基于PD模式制定了生存评分。风险分类与免疫疗法治疗的各种实体肿瘤的PPOS相关,因此可能增强预后和临床决策,可能为治疗接受免疫治疗的PD患者提供有价值的工具。
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来源期刊
JAMA Oncology
JAMA Oncology Medicine-Oncology
自引率
1.80%
发文量
423
期刊介绍: JAMA Oncology is an international peer-reviewed journal that serves as the leading publication for scientists, clinicians, and trainees working in the field of oncology. It is part of the JAMA Network, a collection of peer-reviewed medical and specialty publications.
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