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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1659183

This article is part of the Research TopicTumor Microenvironment: Inflammation and Immune Signal Transduction at Single-Cell ResolutionView all 10 articles

Multiomics Profiling Identifies the Poor Prognostic Role of a Tumor Cluster with GNA15 Overexpression in Triple-Negative Breast Cancer

Provisionally accepted
Guixin  WangGuixin Wang1Junming  CaoJunming Cao1Lu  ChengluLu Chenglu2Yu  CaoYu Cao3Shuo  WangShuo Wang1Ziyi  ChenZiyi Chen1Zhaohui  ChenZhaohui Chen1Yingxi  LiYingxi Li4Yue  YuYue Yu1*Yao  TianYao Tian5*Xin  WangXin Wang1*
  • 1Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
  • 2Tangshan People's Hospital, Tangshan, China
  • 3Affiliated Hospital of Zunyi Medical University, Zunyi, China
  • 4Ningbo University, Ningbo, China
  • 5Ningbo Medical Centre Lihuili Hospital, Ningbo, China

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

Abstract Background: Tumor heterogeneity impacts invasive behaviors, treatment response, and clinical outcomes in triple-negative breast cancer (TNBC). However, this heterogeneity remains incompletely characterized. This study aims to utilize multi-scale data to investigate inter-tumoral heterogeneity and identify potential TNBC biomarkers. Methods: Single-cell RNA expression profiles were analyzed using R packages. Specifically, infercnv, Pyscenic, GeneNMF, SCP, Vector, CellChat, and hdWGCNA packages were employed to identify malignant cells and characterize heterogeneity in transcription factors, metaprograms, lineage evolution, developmental trajectories, cell-cell interactions, and co-expression networks. Bulk RNA datasets were incorporated to assess the prognostic value of cell clusters and candidate genes. GNA15 expression was determined by RT-qPCR and immunohistochemistry. Cell functional assays were performed to evaluate proliferation, migration, and invasion capabilities. Results: We isolated 14,335 malignant cells from epithelial cells across 15 single-cell RNA samples. Six tumor cell clusters were identified, which exhibited distinct prognoses, biological functions, driver transcription factors, and co-expression networks. Notably, the S2 cluster demonstrated association with multiple malignancy-related pathways and inferior survival outcomes. G Protein Subunit Alpha 15 (GNA15) emerged as the S2 cluster hub gene. In vitro experiments confirmed that GNA15 knockdown significantly attenuated proliferation, migration, and invasion in TNBC cell lines. Conclusions: Our study comprehensively delineates TNBC tumor cell heterogeneity and establishes the critical role of GNA15 in TNBC progression. These findings enhance understanding of TNBC heterogeneity and provide a theoretical foundation for TNBC treatment.

Keywords: Triple-negative breast cancer, ScRNA-seq, Tumor Microenvironment, GNA15, heterogeneity

Received: 03 Jul 2025; Accepted: 29 Aug 2025.

Copyright: © 2025 Wang, Cao, Chenglu, Cao, Wang, Chen, Chen, Li, Yu, Tian 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:
Yue Yu, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Yao Tian, Ningbo Medical Centre Lihuili Hospital, Ningbo, China
Xin Wang, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

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