基于血清细胞因子水平的癌症患者接受免疫检查点抑制剂的免疫治疗相关不良事件和临床效益临床预测模型的构建和评价。

IF 3.2 4区 医学 Q3 IMMUNOLOGY
Journal of Immunotherapy Pub Date : 2023-10-01 Epub Date: 2023-06-19 DOI:10.1097/CJI.0000000000000478
Ni Zhao, Aimin Jiang, Xiao Shang, Fumei Zhao, Ruoxuan Wang, Xiao Fu, Zhiping Ruan, Xuan Liang, Tao Tian, Yu Yao, Chunli Li
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引用次数: 2

摘要

免疫检查点抑制剂(ICIs)已经彻底改变了癌症治疗的前景。本研究旨在开发新的风险分类器来预测免疫相关不良事件(irAE)的风险和临床获益的概率。对2020年11月至2022年10月在Xi的交通大学第一附属医院接受ICI治疗的癌症患者进行招募和随访。进行Logistic回归分析,以确定irAE和临床反应的独立预测因素。开发了两个列线图来预测这些人的irAE和临床反应,并用受试者操作特征曲线来评估他们的预测能力。进行决策曲线分析以估计列线图的临床效用。这项研究包括583名癌症患者。其中111例(19.0%)发生irAE。治疗持续时间(DOT)>3个周期、肝转移、IL2>2.25pg/mL和IL8>7.39pg/mL与较高的irAE风险相关。最终疗效分析共纳入347名患者,总体临床获益率为39.7%。DOT>3个周期、非肝转移、irAE和IL8>7.39 pg/mL是临床获益的独立预测因素。最终,成功地建立了2个列线图来预测irAE的概率及其临床益处。最终,成功地建立了2个列线图来预测irAE的概率和临床益处。接收器工作特性曲线产生了可接受的诺模图性能。校准曲线和决策曲线分析支持列线图可以为这些患者提供更显著的净临床益处的假设。在这些个体中,特定的基线血浆细胞因子与irAE和临床反应密切相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction and Evaluation of Clinical Prediction Model for Immunotherapy-related Adverse Events and Clinical Benefit in Cancer Patients Receiving Immune Checkpoint Inhibitors Based on Serum Cytokine Levels.

Construction and Evaluation of Clinical Prediction Model for Immunotherapy-related Adverse Events and Clinical Benefit in Cancer Patients Receiving Immune Checkpoint Inhibitors Based on Serum Cytokine Levels.

Construction and Evaluation of Clinical Prediction Model for Immunotherapy-related Adverse Events and Clinical Benefit in Cancer Patients Receiving Immune Checkpoint Inhibitors Based on Serum Cytokine Levels.

Construction and Evaluation of Clinical Prediction Model for Immunotherapy-related Adverse Events and Clinical Benefit in Cancer Patients Receiving Immune Checkpoint Inhibitors Based on Serum Cytokine Levels.

Immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic landscape of cancer therapy. This study aimed to develop novel risk classifiers to predict the risk of immune-related adverse events (irAEs) and the probability of clinical benefits. Patients with cancer who received ICIs from the First Affiliated Hospital of Xi 'an Jiaotong University from November 2020 to October 2022 were recruited and followed up. Logistic regression analyses were performed to identify independent predictive factors for irAEs and clinical response. Two nomograms were developed to predict the irAEs and clinical responses of these individuals, with a receiver operating characteristic curve to assess their predictive ability. Decision curve analysis was performed to estimate the clinical utility of the nomogram. This study included 583 patients with cancer. Among them, 111 (19.0%) developed irAEs. Duration of treatment (DOT)>3 cycles, hepatic-metastases, IL2>2.225 pg/mL, and IL8>7.39 pg/mL were correlated with higher irAEs risk. A total of 347 patients were included in the final efficacy analysis, with an overall clinical benefit rate of 39.7%. DOT>3 cycles, nonhepatic-metastases, and irAEs and IL8>7.39 pg/mL were independent predictive factors of clinical benefit. Ultimately, 2 nomograms were successfully established to predict the probability of irAEs and their clinical benefits. Ultimately, 2 nomograms were successfully established to predict the probability of irAEs and clinical benefits. The receiver operating characteristic curves yielded acceptable nomogram performance. Calibration curves and decision curve analysis supported the hypothesis that nomograms could provide more significant net clinical benefits to these patients. Specific baseline plasma cytokines were closely correlated with irAEs and clinical responses in these individuals.

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来源期刊
Journal of Immunotherapy
Journal of Immunotherapy 医学-免疫学
CiteScore
6.90
自引率
0.00%
发文量
79
审稿时长
6-12 weeks
期刊介绍: Journal of Immunotherapy features rapid publication of articles on immunomodulators, lymphokines, antibodies, cells, and cell products in cancer biology and therapy. Laboratory and preclinical studies, as well as investigative clinical reports, are presented. The journal emphasizes basic mechanisms and methods for the rapid transfer of technology from the laboratory to the clinic. JIT contains full-length articles, review articles, and short communications.
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