Intratumoral CD103+CD8+ T cells predict response to neoadjuvant chemoimmunotherapy in advanced head and neck squamous cell carcinoma

头颈部鳞状细胞癌 化学免疫疗法 癌症研究 CD8型 肿瘤浸润淋巴细胞 人口 T细胞 癌症 化学 医学 免疫疗法 头颈部癌 免疫系统 内科学 免疫学 环境卫生
作者
Siqi Ren,Tianjun Lan,Fan Wu,Suling Chen,Xue Jiang,Chuying Huo,Zitian Li,Shule Xie,Donghui Wu,Ruixin Wang,Yanyan Li,Lin Qiu,Guoxin Huang,Shurui Li,Xiaojuan Wang,Meifeng Cen,Tingting Cai,Zhaoyu Lin,Jinsong Li,Bowen Li
出处
期刊:Cancer communications [Wiley]
卷期号:43 (10): 1143-1163 被引量:28
标识
DOI:10.1002/cac2.12480
摘要

Abstract Background Immune cell heterogenicity is known to determine the therapeutic response to cancer progression. Neoadjuvant chemoimmunotherapy (NACI) has shown clinical benefits in some patients with advanced head and neck squamous cell carcinoma (HNSCC), but the underlying mechanism behind this clinical response is unknown. The efficacy of NACI needs to be potentiated by identifying accurate biomarkers to predict clinical responses. Here, we attempted to identify molecules predicting NACI response in advanced HNSCC. Methods We performed combined single‐cell RNA sequencing (scRNA‐seq) and multiplex immunofluorescence (mIHC) staining with tumor samples derived from NACI‐treated HNSCC patients to identify a new tumor‐infiltrating cell (TIL) subtype, CD103 + CD8 + TILs, associated with clinical response, while both in vitro and in vivo assays were carried out to determine its antitumor efficiency. The regulatory mechanism of the CD103 + CD8 + TILs population was examined by performing cell‐cell interaction analysis of the scRNA‐seq data and spatial analysis of the mIHC images. Results We established intratumoral CD103 + CD8 + TILs density as a determinant of NACI efficacy in cancers. Our scRNA‐seq results indicated that the population of CD103 + CD8 + TILs was dramatically increased in the responders of NACI‐treated HNSCC patients, while mIHC analysis confirmed the correlation between intratumoral CD103 + CD8 + TILs density and NACI efficacy in HNSCC patients. Further receiver operating characteristic curve analysis defined this TIL subset as a potent marker to predict patient response to NACI. Functional assays showed that CD103 + CD8 + TILs were tumor‐reactive T cells, while programmed cell death protein‐1 (PD‐1) blockade enhanced CD103 + CD8 + TILs cytotoxicity against tumor growth in vivo. Mechanistically, targeting the triggering receptor expressed on myeloid cells 2‐positive (TREM2 + ) macrophages might enhance the population of CD103 + CD8 + TILs and facilitate antitumor immunity during NACI treatment. Conclusions Our study highlights the impact of intratumoral CD103 + CD8 + TILs density on NACI efficacy in different cancers, while the efforts to elevate its population warrant further clinical investigation.
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
刚刚
1234@完成签到 ,获得积分10
2秒前
mly完成签到 ,获得积分10
2秒前
莫愁完成签到,获得积分10
3秒前
司念者你完成签到 ,获得积分10
4秒前
Akim应助zxs采纳,获得10
4秒前
adagio完成签到,获得积分10
4秒前
lanheqingniao完成签到,获得积分10
4秒前
6秒前
乐观的忆枫完成签到,获得积分10
7秒前
bbd完成签到,获得积分10
7秒前
酷波er应助学术小子采纳,获得10
7秒前
缓慢的王完成签到,获得积分10
9秒前
镕臻完成签到,获得积分10
10秒前
lxdfrank完成签到,获得积分10
10秒前
10秒前
Stuki完成签到,获得积分10
11秒前
乘风破浪完成签到,获得积分10
11秒前
杨丽完成签到,获得积分10
11秒前
felix驳回了传奇3应助
11秒前
11秒前
12秒前
麦可完成签到,获得积分10
12秒前
量子星尘发布了新的文献求助10
12秒前
末末完成签到 ,获得积分10
14秒前
喵喵苗完成签到 ,获得积分10
14秒前
科研通AI2S应助萧狗子采纳,获得10
15秒前
王一鸣完成签到 ,获得积分10
16秒前
砚木完成签到 ,获得积分10
16秒前
Jasper应助可靠月亮采纳,获得10
16秒前
浪子完成签到,获得积分10
16秒前
zxs发布了新的文献求助10
17秒前
乐乐应助小杨同学采纳,获得10
19秒前
villanelle0308完成签到,获得积分10
19秒前
20秒前
大枣儿完成签到,获得积分10
22秒前
如意完成签到,获得积分10
23秒前
缺缺完成签到,获得积分10
23秒前
nanjianli完成签到,获得积分10
23秒前
Ava应助Stuki采纳,获得10
24秒前
高分求助中
Aerospace Standards Index - 2025 10000
(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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
List of 1,091 Public Pension Profiles by Region 961
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
Historical Dictionary of British Intelligence (2014 / 2nd EDITION!) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5450513
求助须知:如何正确求助?哪些是违规求助? 4558271
关于积分的说明 14265898
捐赠科研通 4481797
什么是DOI,文献DOI怎么找? 2454981
邀请新用户注册赠送积分活动 1445752
关于科研通互助平台的介绍 1421891