Single-cell transcriptomic analysis reveals CD8+T cell heterogeneity and identifies a prognostic signature in cervical cancer

被引:2
作者
Zhou, Rongbin [1 ,2 ]
Xie, Yuli [2 ]
Wang, Zuheng [3 ]
Liu, Zige [2 ,3 ]
Lu, Wenhao [1 ,2 ]
Li, Xiao [4 ]
Wei, Chunmeng [2 ,3 ]
Li, Xing [7 ]
Wang, Fubo [1 ,2 ,3 ,4 ,5 ,6 ,8 ]
机构
[1] Guangxi Med Univ, Collaborat Innovat Ctr Regenerat Med & Med BioReso, Nanning 530021, Guangxi, Peoples R China
[2] Guangxi Med Univ, Ctr Genom & Personalized Med, Guangxi Collaborat Innovat Ctr Genom & Personalize, Guangxi Key Lab Genom & Personalized Med, Nanning 530021, Guangxi, Peoples R China
[3] Guangxi Med Univ, Affiliated Hosp 1, Dept Urol, Nanning 530021, Guangxi, Peoples R China
[4] Guangxi Med Univ, Sch Life Sci, Nanning 530021, Guangxi, Peoples R China
[5] Guangxi Med Univ, Affiliated Tumor Hosp, Dept Urol, Nanning 530021, Guangxi, Peoples R China
[6] Guangxi Med Univ, Sch Publ Hlth, Nanning 530021, Guangxi, Peoples R China
[7] Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Dept Obstet & Gynecol, 85 Wujin Rd, Shanghai 200080, Peoples R China
[8] 22 Shuangyong Rd, Nanning 530021, Guangxi Zhuang, Peoples R China
基金
中国国家自然科学基金;
关键词
Cervical cancer; CD8+T cell; Machine learning; Single-cell RNA-seq; Molecular docking; TUMOR-INFILTRATING LYMPHOCYTES; EXPRESSION; SORAFENIB; PD-L1; ACTIVATION; BLOCKADE;
D O I
10.1186/s12885-025-13901-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundIn recent years, immunotherapy has made significant progress. However, the understanding of the heterogeneity and function of T cells, particularly CD8 + T cells, in cervical cancer (CESC) microenvironment remains insufficient. We aim to characterize the heterogeneity, developmental trajectory, regulatory network, and intercellular communication of CD8 + T cells in cervical squamous cell carcinoma and to construct a prognostic risk model based on the transcriptomic characteristics of CD8 + T cells.MethodsWe integrated single-cell RNA sequencing data from CESC tumor samples with bulk transcriptome data from TCGA and GEO databases. We identified CD8 + T cell subsets in the CESC microenvironment, revealing significant interactions between CD8 + T cells and other cell types through intercellular communication analysis. Pseudotime trajectory analysis revealed dynamic transcriptional regulation during CD8 + T cell differentiation and functional acquisition processes. We constructed a transcriptional regulatory network for CESC CD8 + T cells, identifying key transcription factors. Based on CD8 + T cell-related genes, a prognostic risk model comprising eight core genes was developed and validated using machine learning.ResultsWe identified four distinct CD8 + T cell subsets, namely progenitor, intermediate, proliferative, and terminally differentiated, each exhibiting unique transcriptomic characteristics and functional properties. CD8 + T cell subsets interact with macrophages through different ligand-receptor networks, including the CCL-CCR signaling pathway and costimulatory molecules. Sorafenib was identified as a potential immunotherapeutic drug through drug screening. Experimental validation demonstrated that sorafenib enhances the cytotoxicity of CD8 + T cells by increasing the secretion of IFN-gamma and TNF-alpha, thereby significantly inhibiting the invasiveness and survival of CESC cells.ConclusionsOur study provides valuable insights into the heterogeneity and functional diversity of CD8 + T cells in CESC. We demonstrate that a CD8 + T cell-related prognostic signature may serve as a potential tool for risk stratification in patients with CESC. Additionally, our finding suggests that sorafenib could be a promising therapeutic candidate for improving antitumor immunity in this patient population.
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页数:22
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