ArticlePeerJ2025
TGF-β-mediated activation of fibroblasts in cervical cancer: implications for tumor microenvironment and prognosis.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Recurrent PIK3CA-E545K mutation promotes cervical cancer growth and invasion via AKT/mTOR signaling.Molecular genetics and genomics : MGG · 2026Article
- TAMs in the Gynecological Tumor Microenvironment: Insights from Cross-Cancer Studies for Immunotherapy.Cancers · 2026Review
- The microbiota-host metabolic axis in cervical cancer: from homeostatic disruption to mechanisms of therapy resistance.Frontiers in cellular and infection microbiology · 2026Review
- Baseline inflammatory and metabolic indicators associated with early PD-1 inhibitor resistance in advanced cervical cancer: a retrospective cohort study.Frontiers in medicine · 2026Article
- From immune desert to hot tumor: the tripartite synergy of tumor microenvironment-exosomes-immunogenic cell death in pioneering solutions.Frontiers in immunology · 2026Review
- Single-cell landscape of melanoma reveals ETV5-driven C3 ID4Frontiers in immunology · 2026Article
- Cellular Immunotherapy for Cervical Cancer: Next Therapeutics Frontiers.Oncology research · 2026Review
- A chemokine-based prognostic model featuring CXCL8, ITGA5, BACE2, CCR7, CERS4, and MEI1 for cervical cancer.European journal of medical research · 2025Article
- Article
- CAR-Based Cell Therapy in Head and Neck Cancer: A Comprehensive Review on Clinical Applicability.Cancers · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Background: Cervical cancer (CC) is a prevalent female malignancy strongly influenced by the tumor microenvironment (TME). This study focuses on the role of TGF-β signaling in cancer-associated fibroblasts (CAFs) and its interaction with immune cells, aiming to elucidate its impact on CC progression. Methods: The TME of CC patients was analyzed using scRNA-seq data and we identified the major cell types in the TME with a focus on the activation of the TGF-β signaling pathway in fibroblasts. Gene modules related to the TGF-β signaling pathway were identified by Weighted correlation network analysis (WGCNA). Using The Cancer Genome Atlas Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (TCGA-CESC) dataset, a prognostic gene model was constructed by univariate Cox, LASSO Cox and multivariate Cox regression analyses. For cellular validation, the mRNA level of prognostic model-related genes was tested via quantitative real-time real-time polymerase chain reaction (PCR). Thereafter, the following assays, including cell counting kit-8, scratch and wound healing assays, were applied to assess the viability, migration and invasion of CC cells. Results: Analysis at single-cell resolution identified nine major cell types in the TME, and significant activation of the TGF-β signaling pathway in fibroblasts was correlated with tumor proliferation and differentiation. Strong TGF-β signaling communication between fibroblasts and macrophages and NK/T cells suggested a crucial role in the shaping of the immunosuppressive microenvironment. WGCNA analysis identified gene modules significantly associated with the TGF-β signaling pathway. The prognostic model constructed based on three genes, Conclusion: This study confirmed the important role of the TGF-β signaling pathway in CC, especially in fibroblasts on tumor microenvironment and tumor progression. The current model could effectively evaluate the prognosis of CC, providing a theoretical foundation for developing CC therapies according to the TGF-β signaling pathway. The present results provide new perspectives for further research on the pathological mechanisms and clinical management of CC.
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