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 BV]
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
Mere Chen发布了新的文献求助10
刚刚
1秒前
Chang完成签到,获得积分10
3秒前
小许会更好完成签到,获得积分10
4秒前
柔弱雅彤发布了新的文献求助10
5秒前
正整证发布了新的文献求助30
6秒前
bb发布了新的文献求助10
9秒前
11秒前
張医铄完成签到,获得积分10
11秒前
浮浮世世发布了新的文献求助10
11秒前
13秒前
zhovy完成签到,获得积分10
13秒前
格格巫发布了新的文献求助10
14秒前
張医铄发布了新的文献求助10
15秒前
绿狗玩偶发布了新的文献求助10
18秒前
柔弱雅彤完成签到 ,获得积分10
18秒前
19秒前
19秒前
科研通AI6应助戴戴采纳,获得30
19秒前
20秒前
CipherSage应助bb采纳,获得10
21秒前
黎明森完成签到,获得积分10
22秒前
mg发布了新的文献求助10
22秒前
一一完成签到 ,获得积分20
23秒前
机灵桐发布了新的文献求助10
23秒前
23秒前
CodeCraft应助格格巫采纳,获得10
24秒前
Xiao完成签到,获得积分10
28秒前
史杜旦腾发布了新的文献求助10
29秒前
独特振家完成签到,获得积分10
30秒前
霍云云完成签到,获得积分10
33秒前
36秒前
大个应助绿狗玩偶采纳,获得10
36秒前
37秒前
40秒前
平常的夏菡完成签到,获得积分10
40秒前
Accept发布了新的文献求助10
40秒前
淡淡乐巧完成签到 ,获得积分10
42秒前
儒雅的菠萝吹雪完成签到,获得积分10
42秒前
43秒前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Learning and Motivation in the Classroom 500
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5225839
求助须知:如何正确求助?哪些是违规求助? 4397471
关于积分的说明 13686412
捐赠科研通 4261957
什么是DOI,文献DOI怎么找? 2338829
邀请新用户注册赠送积分活动 1336245
关于科研通互助平台的介绍 1292194