The predictive value of tumor mutation burden on survival of gastric cancer patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis

医学 内科学 荟萃分析 子群分析 危险系数 肿瘤科 癌症 出版偏见 胃肠病学 置信区间
作者
Liyuan Ke,Li Su,Danxue Huang
出处
期刊:International Immunopharmacology [Elsevier]
卷期号:124: 110986-110986 被引量:13
标识
DOI:10.1016/j.intimp.2023.110986
摘要

Tumor mutation burden (TMB) is a complement to traditional biomarkers related to the efficacy of immune checkpoint inhibitors (ICIs). The relationship between TMB and the efficacy of ICIs in gastric cancer was controversial. The systematic review and meta-analysis were conducted to investigate the predictive value of TMB on survival of gastric cancer patients treated with ICIs. We searched the databases PubMed, Embase, and Web of Science for articles, then screened eligible articles according to inclusion criteria. The effective data were extracted to calculate the pooled effects of hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS), then perform publication bias, sensitivity analysis, and subgroup analysis by STATA 16.0. The high TMB patients showed significantly longer survival than the low TMB patients (OS: HR 0.65,95% CI 0.55, 0.77, p < 0.001; PFS: HR 0.51, 95% CI 0.33, 0.77, p = 0.001). In the Asian subgroup, patients with high TMB exhibited better prognosis compared to low TMB (OS: HR 0.56, 95% CI 0.43, 0.72, p < 0.001; PFS: HR 0.45, 95% CI 0.28, 0.72, p = 0.001). In the non-Asian subgroup, the survival benefit was observed to be skewed toward patients with high TMB, but it was not statistically significant (OS:HR 0.61, 95% CI 0.32, 1.16, p = 0.133; PFS:HR 0.68, 95% CI 0.31, 1.48, p = 0.322). This meta-analysis demonstrated that gastric cancer patients with high TMB showed significant benefits from ICIs compared to those with low TMB patients, particularly in Asian populations.

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
JamesPei应助kaiyi采纳,获得10
1秒前
1秒前
包容新蕾完成签到 ,获得积分10
2秒前
诗恋菲宇完成签到,获得积分10
2秒前
3秒前
汪宇完成签到,获得积分10
3秒前
思源应助hx采纳,获得10
3秒前
Minlei发布了新的文献求助10
3秒前
XQZ关闭了XQZ文献求助
4秒前
5秒前
5秒前
5秒前
5秒前
包容扬完成签到,获得积分10
5秒前
6秒前
充电宝应助壮观手套采纳,获得10
6秒前
汪宇发布了新的文献求助10
8秒前
cyc159发布了新的文献求助15
8秒前
念一发布了新的文献求助10
9秒前
9秒前
小马甲应助星子落寒山采纳,获得10
9秒前
11秒前
Lucas应助完美的tuzi采纳,获得10
11秒前
xh发布了新的文献求助10
12秒前
ng9Rr8发布了新的文献求助10
12秒前
量子星尘发布了新的文献求助10
12秒前
13秒前
情怀应助HAHA采纳,获得10
13秒前
13秒前
充电宝应助wangzichen采纳,获得10
14秒前
无花果应助壮观手套采纳,获得10
14秒前
CipherSage应助zzzkyt采纳,获得10
15秒前
从容大侠完成签到,获得积分20
15秒前
asADA发布了新的文献求助10
15秒前
15秒前
Kretschmann完成签到,获得积分0
16秒前
忽闻水完成签到,获得积分10
17秒前
TRACEY发布了新的文献求助10
18秒前
kaiyi发布了新的文献求助10
19秒前
20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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6047886
求助须知:如何正确求助?哪些是违规求助? 7828614
关于积分的说明 16257915
捐赠科研通 5193301
什么是DOI,文献DOI怎么找? 2778847
邀请新用户注册赠送积分活动 1762077
关于科研通互助平台的介绍 1644438