• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

优于RECIST且快于iRECIST:定义免疫治疗进展决策评分以更好地管理免疫治疗中的进展性肿瘤。

Better than RECIST and Faster than iRECIST: Defining the Immunotherapy Progression Decision Score to Better Manage Progressive Tumors on Immunotherapy.

作者信息

Belkouchi Younes, Talbot Hugues, Lassau Nathalie, Lawrance Littisha, Farhane Siham, Feki-Mkaouar Rahma, Hadchiti Joya, Dawi Lama, Vibert Julien, Cournède Paul-Henry, Cousteix Clara, Mazza Camille, Kind Michele, Italiano Antoine, Marabelle Aurelien, Ammari Samy, Champiat Stephane

机构信息

Centre de vision numérique (CVN), CentraleSupélec, Université Paris-Saclay, Inria, Gif-Sur-Yvette, France.

Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay (BIOMAPS), UMR 1281. Université Paris-Saclay, Inserm, CNRS, Villejuif, France.

出版信息

Clin Cancer Res. 2023 Apr 14;29(8):1528-1534. doi: 10.1158/1078-0432.CCR-22-0890.

DOI:10.1158/1078-0432.CCR-22-0890
PMID:36719966
Abstract

PURPOSE

The objective of the study is to propose the immunotherapy progression decision (iPD) score, a practical tool based on patient features that are available at the first evaluation of immunotherapy treatment, to help oncologists decide whether to continue the treatment or switch rapidly to another therapeutic line when facing a progressive disease patient at the first evaluation.

EXPERIMENTAL DESIGN

This retrospective study included 107 patients with progressive disease at first evaluation according to RECIST 1.1. Clinical, radiological, and biological data at baseline and first evaluation were analyzed. An external validation set consisting of 31 patients with similar baseline characteristics was used for the validation of the score.

RESULTS

Variables were analyzed in a univariate study. The iPD score was constructed using only independent variables, each considered as a worsening factor for the survival of patients. The patients were stratified in three groups: good prognosis (GP), poor prognosis (PP), and critical prognosis (CP). Each group showed significantly different survivals (GP: 11.4, PP: 4.4, CP: 2.3 months median overall survival, P < 0.001, log-rank test). Moreover, the iPD score was able to detect the pseudoprogressors better than other scores. On the validation set, CP patients had significantly worse survival than PP and GP patients (P < 0.05, log-rank test).

CONCLUSIONS

The iPD score provides oncologists with a new evaluation, computable at first progression, to decide whether treatment should be continued (for the GP group), or immediately changed for the PP and CP groups. Further validation on larger cohorts is needed to prove its efficacy in clinical practice.

摘要

目的

本研究的目的是提出免疫治疗进展决策(iPD)评分,这是一种基于免疫治疗首次评估时可得的患者特征的实用工具,以帮助肿瘤学家在首次评估时面对疾病进展的患者时,决定是继续治疗还是迅速转向另一种治疗方案。

实验设计

这项回顾性研究纳入了107例根据RECIST 1.1标准在首次评估时疾病进展的患者。分析了基线和首次评估时的临床、放射学和生物学数据。使用由31例具有相似基线特征的患者组成的外部验证集对该评分进行验证。

结果

在单变量研究中对变量进行了分析。iPD评分仅使用独立变量构建,每个变量都被视为患者生存的恶化因素。患者被分为三组:预后良好(GP)、预后不良(PP)和预后危急(CP)。每组的总生存期有显著差异(GP组:中位总生存期11.4个月,PP组:4.4个月,CP组:2.3个月,P<0.001,对数秩检验)。此外,iPD评分比其他评分能更好地检测出假性进展者。在验证集中,CP组患者的生存期明显比PP组和GP组差(P<0.05,对数秩检验)。

结论

iPD评分为肿瘤学家提供了一种在首次疾病进展时可计算的新评估方法,以决定是继续治疗(针对GP组),还是对PP组和CP组立即更换治疗方案。需要在更大的队列中进行进一步验证,以证明其在临床实践中的有效性。

相似文献

1
Better than RECIST and Faster than iRECIST: Defining the Immunotherapy Progression Decision Score to Better Manage Progressive Tumors on Immunotherapy.优于RECIST且快于iRECIST:定义免疫治疗进展决策评分以更好地管理免疫治疗中的进展性肿瘤。
Clin Cancer Res. 2023 Apr 14;29(8):1528-1534. doi: 10.1158/1078-0432.CCR-22-0890.
2
Response evaluation for immunotherapy through semi-automatic software based on RECIST 1.1, irRC, and iRECIST criteria: comparison with subjective assessment.基于RECIST 1.1、irRC和iRECIST标准的半自动软件对免疫治疗的疗效评估:与主观评估的比较
Acta Radiol. 2020 Jul;61(7):983-991. doi: 10.1177/0284185119887588. Epub 2019 Nov 18.
3
Patterns of response in metastatic NSCLC during PD-1 or PD-L1 inhibitor therapy: Comparison of the RECIST 1.1 and iRECIST criteria.抗 PD-1 或 PD-L1 抑制剂治疗期间转移性 NSCLC 的缓解模式:RECIST 1.1 与 iRECIST 标准的比较。
Thorac Cancer. 2020 Apr;11(4):1068-1075. doi: 10.1111/1759-7714.13367. Epub 2020 Mar 4.
4
Comparison of the Immunotherapy Response Evaluation Criteria in Solid Tumours (iRECIST) with RECIST for capturing treatment response of patients with metastatic urothelial carcinoma treated with pembrolizumab.比较免疫治疗实体瘤反应评估标准(iRECIST)与 RECIST 用于评估帕博利珠单抗治疗转移性尿路上皮癌患者的治疗反应。
BJU Int. 2021 Jan;127(1):90-95. doi: 10.1111/bju.15176. Epub 2020 Aug 6.
5
[Comparison of RECIST 1.1 and iRECIST for Response Evaluation in Solid Tumours].[实体瘤疗效评估中RECIST 1.1与iRECIST的比较]
Klin Onkol. 2017 Winter;30(Supplementum3):32-39. doi: 10.14735/amko20173S32.
6
[Radiological response assessment of modern immunotherapy using iRECIST].[使用iRECIST对现代免疫疗法进行放射学反应评估]
Radiologe. 2017 Oct;57(10):826-833. doi: 10.1007/s00117-017-0289-9.
7
A perspective: the integration of ctDNA into Response Evaluation Criteria in Solid Tumours 1.1 for phase II immunotherapy clinical trials.一个观点:将 ctDNA 纳入实体瘤反应评估标准 1.1 用于 II 期免疫治疗临床试验。
Immunotherapy. 2024 Mar;16(5):319-329. doi: 10.2217/imt-2023-0184. Epub 2024 Jan 10.
8
Comparison of Radiological Tumor Response Based on iRECIST and RECIST 1.1 in Metastatic Clear-Cell Renal Cell Carcinoma Patients Treated with Programmed Cell Death-1 Inhibitor Therapy.基于 iRECIST 和 RECIST 1.1 标准评估程序性细胞死亡蛋白-1 抑制剂治疗转移性透明细胞肾细胞癌患者的影像学肿瘤反应比较。
Korean J Radiol. 2021 Mar;22(3):366-375. doi: 10.3348/kjr.2020.0404. Epub 2020 Nov 26.
9
Comparison of iRECIST versus RECIST V.1.1 in patients treated with an anti-PD-1 or PD-L1 antibody: pooled FDA analysis.iRECIST 与 RECIST V.1.1 在抗 PD-1 或 PD-L1 抗体治疗患者中的比较:FDA 汇总分析。
J Immunother Cancer. 2020 Feb;8(1). doi: 10.1136/jitc-2019-000146.
10
Intra- and inter-reader agreement of iRECIST and RECIST 1.1 criteria for the assessment of tumor response in patients receiving checkpoint inhibitor immunotherapy for lung cancer.免疫检查点抑制剂治疗肺癌患者中 iRECIST 和 RECIST 1.1 标准评估肿瘤反应的读者内和读者间一致性。
Lung Cancer. 2021 Nov;161:60-67. doi: 10.1016/j.lungcan.2021.08.020. Epub 2021 Sep 4.

引用本文的文献

1
Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy.将机制建模与深度学习相结合,用于免疫检查点抑制剂免疫治疗后患者的个性化生存预测。
NPJ Syst Biol Appl. 2024 Aug 14;10(1):88. doi: 10.1038/s41540-024-00415-8.
2
Hybridizing mechanistic mathematical modeling with deep learning methods to predict individual cancer patient survival after immune checkpoint inhibitor therapy.将机械数学建模与深度学习方法相结合,以预测免疫检查点抑制剂治疗后个体癌症患者的生存率。
Res Sq. 2024 Mar 29:rs.3.rs-4151883. doi: 10.21203/rs.3.rs-4151883/v1.