ORIGINAL RESEARCH article

Front. Genet.

Sec. Cancer Genetics and Oncogenomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1584334

Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms

Provisionally accepted
Zhi-chuan  HeZhi-chuan He1*Zheng-Zheng  SongZheng-Zheng Song2Zhe  WuZhe Wu1Peng-Fei  LinPeng-Fei Lin1Xin-Xing  WangXin-Xing Wang1
  • 1The First Hospital of Putian City, Putian, China
  • 2Yidu Central Hospital of Weifang, Weifang, Shandong Province, China

The final, formatted version of the article will be published soon.

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer (BRCA) with limited therapeutic targets. This study aimed to identify T cell-related signatures for TNBC diagnosis and prognosis.Methods: Clinical data and transcriptomic profiles were obtained from the TCGA-BRCA dataset, and single-cell RNA sequencing (scRNA-seq) data were downloaded from the GEO database. Differentially expressed genes (DEGs) between TNBC and other BRCA subtypes were intersected with T cell-related genes to identify candidate biomarkers. Machine learning algorithms were used to screen for key hub genes, which were then used to construct a logistic regression (LR) model. Immune cell infiltration patterns were analyzed between high- and low-LR score groups, and Kaplan–Meier analysis evaluated the prognostic significance of hub genes. Functional enrichment and pathway analysis were performed using GSEA, and scRNA-seq data further explored hub gene-related pathways in immune cells.Results: Three hub genes (CACNA1H, KCNJ11, and S100B) were identified with strong diagnostic and prognostic relevance in TNBC. The LR model based on these genes achieved an AUC of 0.917 in diagnosing TNBC from other BRCA subtypes. Low LR scores were associated with poorer overall survival and reduced immune cell infiltration, particularly CD8 T cells and cytotoxic lymphocytes. S100B showed strong associations with the cytokine–cytokine receptor interaction pathway, JAK–STAT signaling, and T cell receptor signaling. Conclusions: CACNA1H, KCNJ11, and S100B are potential diagnostic and prognostic biomarkers in TNBC. Their immune-related functions highlight their potential for guiding targeted immunotherapy strategies.

Keywords: Triple-negative breast cancer, T cell-related genes, diagnosis, prognosis, Immune infiltration

Received: 27 Feb 2025; Accepted: 05 Jun 2025.

Copyright: © 2025 He, Song, Wu, Lin and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zhi-chuan He, The First Hospital of Putian City, Putian, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.