肿瘤微环境
免疫疗法
免疫系统
三阴性乳腺癌
癌症研究
生物
间质细胞
免疫检查点
癌症免疫疗法
FOXP3型
T细胞
趋化因子
CXCL13型
乳腺癌
免疫学
癌症
趋化因子受体
遗传学
作者
Luhui Mao,Zebang Zhang,Yongjian Chen,Qing Peng,Zhenjun Huang,Wenhao Ouyang,Dongqiang Zeng,Wei Ren,Zifan He,Li Tang,Zehua Wang,Ruichong Lin,Jianli Zhao,Jiannan Wu,Herui Yao,Yunfang Yu
标识
DOI:10.1186/s43556-025-00306-2
摘要
Abstract Immunotherapy has emerged as a promising treatment option for triple-negative breast cancer (TNBC); however, the pronounced heterogeneity of the tumor immune microenvironment significantly hinders the prediction of therapeutic efficacy, with effective biomarkers also remaining limited. This study utilizes single-cell RNA sequencing (scRNA-seq) and transcriptome analysis to dissect the immune landscapes of TNBC, emphasizing CD8 effector T cells (CD8Teff) as potential predictors of immune checkpoint inhibitors (ICIs) treatment response. Immune profiling revealed that CD8Teff cells were predominantly enriched in "hot" tumors strongly correlating with improved progression-free and overall survival. Notably, the cytokine C-X-C Motif Chemokine Ligand 13 (CXCL13) emerged as a key regulator, with its high expression marking an immune-active tumor microenvironment favorable to ICI efficacy. Comprehensive analysis uncovered critical interactions between CD8Teff cells and other immune and stromal components, supporting the formation of an immunologically active tumor microenvironment (TME) conducive to tumor control. Additionally, metabolic reprogramming of CD8Teff cells in responsive tumors highlighted pathways that may influence ICIs efficacy. CD8Teff cells significantly influence the TME and predict ICI success in TNBC, with CXCL13 as a pivotal modulator. A pathology-based artificial intelligence model for CD8Teff recognition was developed, achieving an area under the curve (AUC) of 0.823 in the training cohort and 0.805 in the validation cohort. This study provides an in-depth characterization of the TNBC immune microenvironment, identifying CD8Teff functionality, CXCL13 signaling, and immune-metabolic pathways as critical determinants of immunotherapy success. These findings support the development of personalized treatment strategies based on immune profiling to enhance therapeutic efficacy in TNBC.
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