Associations between immune-related thyroid dysfunction and efficacy of immune checkpoint inhibitors: a systematic review and meta-analysis

医学 荟萃分析 甲状腺癌 内科学 肿瘤科 甲状腺 不利影响 免疫系统 肺癌 科克伦图书馆 癌症 免疫疗法 免疫学
作者
Yee-Ming Melody Cheung,Wei Wang,Bradley A. McGregor,Ole‐Petter R. Hamnvik
出处
期刊:Cancer Immunology, Immunotherapy [Springer Science+Business Media]
卷期号:71 (8): 1795-1812 被引量:84
标识
DOI:10.1007/s00262-021-03128-7
摘要

There is growing evidence suggesting that the occurrence of immune-related adverse events (irAEs) may be a predictor of immune checkpoint inhibitor efficacy. Whether this association extends to all irAEs or just those within particular organs/systems is yet to be resolved. As immune-related thyroid dysfunction (thyroid irAE) is one of the most commonly reported irAEs, this study aims to summarize the available data and determine if thyroid irAE is a surrogate marker for improved cancer outcomes during ICI therapy.PubMed, EMBASE and Cochrane Library were searched up to July 1st 2021 for studies assessing the relationship between thyroid irAE development during ICI therapy and cancer outcomes. Outcome measures of interest include overall survival (OS) and progression free survival (PFS). Sub-group analyses based on cancer type and adjustment for immortal time bias (ITB) were also performed.Forty-seven studies were included in the systematic review. Twenty-one studies were included in the OS meta-analysis whilst 15 were included in the PFS meta-analysis. Development of thyroid irAE during ICI therapy was associated with improved OS and PFS (OS: HR 0.52, CI 0.43-0.62, p < 0.001; PFS: HR 0.58, CI 0.50-0.67, p < 0.001). Sub-group analyses involving non-small cell lung cancer populations and studies where ITB was accounted for, observed similar results (HR 0.37, CI 0.24-0.57, p < 0.001) and (HR 0.51, CI 0.39-0.69, p < 0.001), respectively.Despite the heterogeneity and biases identified, the evidence does suggest that the development of thyroid irAE is associated with anti-tumor effects of ICIs and therefore, can be used as a surrogate marker for clinical response.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
tiantu发布了新的文献求助10
2秒前
haq0324完成签到,获得积分10
3秒前
开朗孤兰发布了新的文献求助20
3秒前
邪恶韩孜完成签到,获得积分10
3秒前
4秒前
5秒前
XQQDD应助befond采纳,获得20
5秒前
6秒前
6秒前
顺心的孤云完成签到,获得积分10
6秒前
7秒前
7秒前
7秒前
177发布了新的文献求助10
7秒前
邪恶韩孜发布了新的文献求助10
8秒前
9秒前
子苓完成签到 ,获得积分10
9秒前
Hello应助miqimiaomiao采纳,获得10
9秒前
日富一日的fighter完成签到,获得积分10
10秒前
牧青发布了新的文献求助10
10秒前
坚定的念真完成签到,获得积分20
11秒前
177发布了新的文献求助10
11秒前
177发布了新的文献求助10
11秒前
177发布了新的文献求助10
11秒前
177发布了新的文献求助10
11秒前
177发布了新的文献求助10
11秒前
默默念关注了科研通微信公众号
12秒前
susan发布了新的文献求助10
14秒前
奋斗慕凝发布了新的文献求助10
14秒前
15秒前
15秒前
16秒前
锦心完成签到,获得积分10
17秒前
zp发布了新的文献求助30
19秒前
穆有问题发布了新的文献求助10
19秒前
20秒前
顾矜应助卓向梦采纳,获得10
21秒前
111发布了新的文献求助10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443568
求助须知:如何正确求助?哪些是违规求助? 8257405
关于积分的说明 17586595
捐赠科研通 5502199
什么是DOI,文献DOI怎么找? 2900923
邀请新用户注册赠送积分活动 1877976
关于科研通互助平台的介绍 1717534