Efficacy and Safety of Combined Brain Radiotherapy and Immunotherapy in Non-Small-Cell Lung Cancer With Brain Metastases: A Systematic Review and Meta-Analysis

医学 荟萃分析 内科学 肺癌 肿瘤科 放射治疗 科克伦图书馆 危险系数 不利影响 置信区间
作者
Yin Yang,Lei Deng,Yufan Yang,Tao Zhang,Yuqi Wu,Lühua Wang,Nan Bi
出处
期刊:Clinical Lung Cancer [Elsevier]
卷期号:23 (2): 95-107 被引量:39
标识
DOI:10.1016/j.cllc.2021.06.009
摘要

Immune checkpoint inhibitors (ICIs) are recommended to treat advanced non-small-cell lung cancer (NSCLC), whereas brain radiotherapy (RT) is the mainstream therapy for patients with brain metastases (BMs). This systematic review and meta-analysis investigated whether the combination of brain RT and ICIs would generate a synergistic effect without unacceptable toxicity to treat NSCLC with BMs.Literature searching was performed in PubMed, Embase, Web Of Science, and The Cochrane Library up to December 20, 2020. Heterogeneity, sensitivity analysis, forest plots, and publication bias were analyzed using Stata 15.0.Nineteen studies were included. In the comparison of the brain RT+ICIs arm and brain RT alone arm, the pooled effect size (ES) for overall survival (OS) (hazard ratio [HR] = 0.77; 95% confidence interval [CI] 0.71-0.83; I² = 0; P < .001; n = 4) and grade 3-4 neurological adverse events (AEs) (risk ratio [RR] = 0.91; 95% CI 0.41-2.02; I² = 26.5; P = .809; n = 4) indicated that the brain RT+ICIs model had significantly better systemic efficacy and similar neurological AEs compared with brain RT alone for NSCLC. Concurrent RT+ICIs were identified as the optimal model, which achieved the best efficacy without significantly increased AEs compared with sequential RT+ICIs.Combined ICIs and brain RT exhibited favorable efficacy and acceptable toxicity for NSCLC patients with BMs, among which, the concurrent model might be the optimal option. Our results could guide the design of future randomized controlled trials and clinical practice.

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
执着乐双发布了新的文献求助10
1秒前
1秒前
1秒前
星落枝头发布了新的文献求助10
2秒前
大方绿蕊发布了新的文献求助10
2秒前
执念发布了新的文献求助10
2秒前
大个应助RK_404采纳,获得10
3秒前
3秒前
科研通AI2S应助罗媛采纳,获得10
4秒前
柠栀发布了新的文献求助10
5秒前
5秒前
tcmj发布了新的文献求助10
6秒前
w1b发布了新的文献求助10
7秒前
小马甲应助Oliver采纳,获得10
8秒前
田様应助大方绿蕊采纳,获得10
8秒前
李健的粉丝团团长应助000采纳,获得10
8秒前
ree发布了新的文献求助20
8秒前
量子星尘发布了新的文献求助10
10秒前
ZXD1989完成签到 ,获得积分10
10秒前
samifranco发布了新的文献求助10
10秒前
zz完成签到,获得积分10
12秒前
llll完成签到 ,获得积分0
12秒前
12秒前
13秒前
13秒前
小T儿发布了新的文献求助10
14秒前
科研通AI6应助科研通管家采纳,获得10
14秒前
Hello应助科研通管家采纳,获得10
14秒前
隐形曼青应助科研通管家采纳,获得10
14秒前
科研通AI6应助科研通管家采纳,获得10
14秒前
科研通AI6应助科研通管家采纳,获得10
15秒前
cjl应助科研通管家采纳,获得10
15秒前
15秒前
科研通AI6应助科研通管家采纳,获得10
15秒前
Hello应助科研通管家采纳,获得10
15秒前
浮游应助科研通管家采纳,获得10
15秒前
15秒前
科研通AI6应助科研通管家采纳,获得10
15秒前
Ava应助科研通管家采纳,获得10
15秒前
核桃应助科研通管家采纳,获得30
15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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5711679
求助须知:如何正确求助?哪些是违规求助? 5205113
关于积分的说明 15264986
捐赠科研通 4863917
什么是DOI,文献DOI怎么找? 2611005
邀请新用户注册赠送积分活动 1561363
关于科研通互助平台的介绍 1518685