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MINI REVIEW article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1698088

This article is part of the Research TopicExploring immune low-response states through single-cell technologies and spatial transcriptomicsView all 24 articles

TGF-β–Driven T-Cell Exclusion in Ovarian Cancer: Single-Cell and Spatial Transcriptomic Views of Immune Low-Response States

Provisionally accepted
Jiang  HeJiang He1Jun  TaoJun Tao2Yu  ZhouYu Zhou2Hongjian  LiHongjian Li2Wenqi  FengWenqi Feng2*Yongqiang  XuYongqiang Xu2*
  • 1Yibin Institute of Traditional Chinese Medicine, Yibin, China
  • 2Yibin Hospital of Traditional Chinese Medicine, Yibin, China

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

Epithelial ovarian cancer (EOC) remains a lethal epithelial malignancy. Immune-checkpoint inhibitors have entered management for recurrent/metastatic disease; yet durable benefit is confined to a subset, reflecting TGF-β–conditioned stromal barriers and organised T-cell exclusion. In this review we summarise advances from single-cell RNA and ATAC profiling and spatial transcriptomics that resolve fibroblast, tumour and immune programmes linked to TGF-β signalling, and appraise translational opportunities spanning selective pathway modulation, checkpoint combinations and spatial biomarkers. We also discuss enduring challenges—including site-specific heterogeneity across adnexal, omental and peritoneal niches, limited assay standardisation and a scarcity of predictive metrics—that temper implementation. By integrating TGF-β–informed readouts (e.g., INHBA⁺ cancer-associated fibroblast burden, periostin/fibronectin indices, MHC-I status and CD8–tumour distances) with PD-1–based regimens and TGF-β-axis agents (ALK5 inhibitors, Activin A neutralisation, NOX4-directed reprogramming), emerging strategies aim to restore antigen presentation, improve lymphocyte access and remodel tumour–stroma interfaces. Our synthesis provides an appraisal of the evolving landscape of TGF-β–informed precision immuno-oncology in ovarian cancer and outlines pragmatic standards and avenues for clinical translation. We hope these insights will assist researchers and clinicians as they endeavour to implement more effective, individualised regimens.

Keywords: ovarian cancer, TGF-β signalling, T-cell exclusion, Single-cell RNA/ATAC, Spatial transcriptomics

Received: 03 Sep 2025; Accepted: 03 Oct 2025.

Copyright: © 2025 He, Tao, Zhou, Li, Feng and Xu. 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:
Wenqi Feng, moonly1981@163.com
Yongqiang Xu, xu13909092923@163.com

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