已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A novel investigation into the negative impact of opioid use on the efficacy of immune checkpoint inhibitors in advanced non-small cell lung cancer patients

肺癌 免疫系统 类阿片 医学 癌症 肿瘤科 免疫学 内科学 受体
作者
Huaijuan Guo,Yin Li,Jie Lin,Donglin Li,Jingjing Yang,Jiaxin Wang,Jingxian Mao,Ying Wang,Xuebing Yan
出处
期刊:International Immunopharmacology [Elsevier]
卷期号:129: 111611-111611 被引量:6
标识
DOI:10.1016/j.intimp.2024.111611
摘要

Immune checkpoint inhibitors (ICIs) have effectively improved the clinical outcome of advanced non-small cell lung cancer (NSCLC). Opioids are commonly used for pain relief in cancer patients. This study aims to clarify the prognostic impact of opioid use in advanced NSCLC patients receiving ICI therapy.A systematic literature review was carried out using online databases before July 2023. The meta-analysis was used to clarify the correlation of opioid use with the overall survival (OS) or progression-free survival (PFS) of ICI-treated NSCLC patients, both of which were determined using hazard ratios (HRs) coupled with 95 % confidence intervals (CIs). Then, an independent cohort enrolling 181 NSCLC patients was utilized for validation. Finally, a comprehensive bioinformatics analysis based on TCGA cohort was performed to investigate the prognostic significance of opioid target genes (OTGs) and their correlation with immune infiltration in NSCLC patients.A total of 8 studies enrolling 1174 patients were included in the meta-analysis. Opioid use was negatively associated with worse PFS (HR = 2.16, 95 %CI: 1.26-3.71) and OS (HR = 2.02, 95 %CI: 1.54-2.63) in ICI-treated NSCLC patients. The retrospective validation confirmed the above result and identified opioid use as an independent unfavorable predictor for PFS and OS in both the entire cohort and ICI subgroup. The bioinformatic analysis identified 14 prognostic OTGs (CYP17A1, PDYN, PYCARD, FGA, NTSR1, FABP1, HPCA, PENK, PDGFB, LIN7A, FKBP5, TYMS, CACNA1H and LDHA), most of which were correlated with immune infiltration in NSCLC. A risk model was constructed based on 14 OTGs and found to effectively stratify the clinical outcome in both the training and validation set, independent of age, gender and TNM staging system. The model was also significantly correlated with infiltration of activated dendritic cells, neutrophils and tumor infiltrating lymphocytes. Finally, a nomogram was constructed based on the model, age, gender and TNM stage, which could predict well the 1-, 3- and 5-year survival of NSCLC patients.Opioid use is correlated with the poor clinical outcome in ICI-treated NSCLC patients. Precise pain management is highly advocated and opioids are recommended to be cautiously used in these patients. OTGs have the potential to be prognostic biomarkers for NSCLC patients and their role in tumor immunity needs to be further investigated.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
务实的远航完成签到 ,获得积分10
2秒前
博弈完成签到 ,获得积分10
4秒前
5秒前
去码头整点薯条完成签到 ,获得积分10
6秒前
喜欢写文章的小朱完成签到,获得积分10
8秒前
9秒前
西西发布了新的文献求助10
11秒前
Mimi完成签到 ,获得积分10
11秒前
14秒前
15秒前
满意妙梦发布了新的文献求助10
16秒前
18秒前
肖浩翔发布了新的文献求助10
19秒前
爆米花应助hl采纳,获得10
20秒前
23秒前
知名不具完成签到 ,获得积分10
24秒前
alex发布了新的文献求助10
25秒前
25秒前
俊逸沛菡完成签到 ,获得积分10
25秒前
想退休的快乐土豆泥完成签到,获得积分10
26秒前
复杂怜容完成签到,获得积分10
28秒前
小袁完成签到 ,获得积分10
28秒前
shuiyi发布了新的文献求助10
29秒前
31秒前
复杂怜容发布了新的文献求助10
35秒前
35秒前
尹大大完成签到,获得积分10
39秒前
40秒前
orange03关注了科研通微信公众号
41秒前
尹大大发布了新的文献求助10
42秒前
44秒前
hl发布了新的文献求助10
44秒前
46秒前
46秒前
46秒前
慧休休完成签到,获得积分10
47秒前
LiLi完成签到 ,获得积分10
48秒前
50秒前
福斯卡完成签到 ,获得积分10
50秒前
慧休休发布了新的文献求助10
53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
Mechanics of Solids with Applications to Thin Bodies 5000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
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 5599628
求助须知:如何正确求助?哪些是违规求助? 4685351
关于积分的说明 14838385
捐赠科研通 4669488
什么是DOI,文献DOI怎么找? 2538128
邀请新用户注册赠送积分活动 1505503
关于科研通互助平台的介绍 1470898