Single-Cell Sequencing Combined with RNA Sequencing Reveals the Role of Natural Killer Cells in Prognosis and Immunotherapy Response in Cervical Squamous Cell Carcinoma

免疫疗法 免疫系统 生物 比例危险模型 基因 转录组 肿瘤科 癌症研究 CD8型 免疫学 医学 内科学 自然杀伤细胞 生存分析 RNA干扰 细胞 癌症免疫疗法 DNA测序 癌症 免疫检查点
作者
Jiemin Lin,Mei‐Chun Lin,Lian-xing Lin,Qiao Chen,Erhua Yao,Jun Lü
出处
期刊:Critical Reviews in Immunology [Begell House]
卷期号:46 (1): 27-43
标识
DOI:10.1615/critrevimmunol.2025061164
摘要

Cervical squamous cell carcinoma (CSCC) has an unfavorable prognosis with major therapeutic challenges. Natural killer (NK) cells play a pivotal function in anti-tumor immunity. However, the correlation between NK cells and heterogeneity and prognosis in CSCC lacks definitive understanding. This study seeks to elucidate the potential value of high-activity NK cell-related genes in prognosis and immunotherapy for CSCC. Transcriptome and single-cell sequencing data of people with CSCC were obtained from TCGA and EMBL-EBI databases, respectively. Single-cell data underwent quality control, dimensionality reduction, and identification of high-activity NK cells and their marker genes. After WGCNA application to screen NK-related genes. a prognostic risk model was constructed employing univariate Cox, LASSO Cox regression, and multivariate Cox regression analyses. The clinical implication of the model was validated through immune infiltration assessment, survival, gene set enrichment, tumor mutation analyses, and drug sensitivity prediction. High-activity NK cells and associated genes in CSCC were identified. A risk prognostic model based on high-activity NK-related genes was developed, yielding six key prognostic genes (RIPOR2, PTGER4, BIN2, MARCHF2, SPATA13, KLRC2). The model demonstrated robust predictive performance in training and validation sets. Patients in the low-risk group exhibited higher infiltration levels of NK, CD8+ T, and dendritic cells, along with increased sensitivity to immune checkpoint inhibitor therapy. Additionally, drug sensitivity analysis identified promising therapeutic candidates. This study, integrating single-cell and RNA sequencing, revealed the heterogeneity of NK cells in CSCC. The risk prognostic model provided prognostic biomarkers and therapeutic targets for CSCC patients, offering a theoretical foundation for immunotherapy research.
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
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
儒雅问兰完成签到,获得积分10
1秒前
科研通AI6.2的应助被smofan采纳,获得10
2秒前
赘婿的应助被霍则风采纳,获得10
2秒前
2秒前
4秒前
5秒前
6秒前
CipherSage的应助被刻苦的晓槐采纳,获得10
8秒前
9秒前
阵枫完成签到,获得积分10
9秒前
cheiree发布了新的文献求助30
10秒前
hygge发布了新的文献求助10
11秒前
田様的应助被图图采纳,获得10
12秒前
moumou完成签到 ,获得积分10
12秒前
15秒前
YESKY完成签到,获得积分10
15秒前
花椒粉发布了新的文献求助30
15秒前
16秒前
氢氢发布了新的文献求助10
16秒前
乐乐的应助被霍则风采纳,获得10
16秒前
16秒前
zzz完成签到 ,获得积分10
16秒前
彭于晏的应助被nnn采纳,获得10
17秒前
带上琳的眼睛完成签到 ,获得积分10
19秒前
oylf的应助被迷你的灵阳采纳,获得10
19秒前
Orange的应助被Ywr采纳,获得10
19秒前
cheiree完成签到,获得积分10
20秒前
旭旭完成签到,获得积分10
21秒前
21秒前
21秒前
邓六一发布了新的文献求助10
22秒前
田様的应助被荔枝采纳,获得30
22秒前
成就蚂蚁完成签到,获得积分10
22秒前
FashionBoy的应助被hygge采纳,获得10
23秒前
24秒前
优雅以晴发布了新的文献求助10
25秒前
26秒前
27秒前
27秒前
29秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7809249
求助须知:如何正确求助?哪些是违规求助? 9341509
关于积分的说明 20507275
捐赠科研通 7401778
什么是DOI,文献DOI怎么找? 3329050
关于科研通互助平台的介绍 2475843
邀请新用户注册赠送积分活动 2347610