Single-cell RNA sequencing identifies CD8Teff cell activation as a predictive biomarker in triple-negative breast cancer immunotherapy

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 · 发表于：Molecular Biomedicine · 年份：2025 · DOI：10.1186/s43556-025-00306-2 · 被引用次数：2 · 研究领域：Cancer Immunotherapy and Biomarkers、Immune cells in cancer、Immunotherapy and Immune Responses

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 ...