Characterization of cancer-associated fibroblasts (CAFs) and development of a CAF-based risk model for triple-negative breast cancer

Triple-negative breast Cancer (TNBC) is a highly malignant cancer with unclear pathogenesis. Within the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) vitally influence tumor onset and progression. Thus, this research aimed to identify distinct subgroups of CAF using single-cell...

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Bibliographic Details
Published in:Cancer cell international 2023-11, Vol.23 (1), p.1-294, Article 294
Main Authors: Wang, Ganggang, Zhang, Hao, Shen, Xiaowei, Jin, Wenzhi, Wang, Xiaoliang, Zhou, Zhijie
Format: Article
Language:English
Subjects:
Algorithms
Breast cancer
Cancer therapies
Cancer-associated fibroblast
Fibroblasts
Genes
GPR34
Immunosuppressive agents
Immunotherapy
Medical prognosis
Metastasis
Prediction models
Prognosis
Regression analysis
Software
Triple-negative breast cancer
Tumor microenvironment
Tumors
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Summary:Triple-negative breast Cancer (TNBC) is a highly malignant cancer with unclear pathogenesis. Within the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) vitally influence tumor onset and progression. Thus, this research aimed to identify distinct subgroups of CAF using single-cell and TNBC-related information from the GEO and TCGA databases, respectively. The primary aim was to establish a novel predictive model based on the CAF features and their clinical relevance. Moreover, the CAFs were analyzed for their immune characteristics, response to immunotherapy, and sensitivity to different drugs. The developed predictive model demonstrated significant effectiveness in determining the prognosis of patients with TNBC, TME, and the immune landscape of the tumor. Of note, the expression of GPR34 was significantly higher in TNBC tissues compared to that in other breast cancer (non-TNBC) tissues, indicating that GPR34 plays a crucial role in the onset and progression of TNBC. In summary, this research has yielded a novel predictive model for TNBC that holds promise for the accurate prediction of prognosis and response to immunotherapy in patients with TNBC.
ISSN:1475-2867
1475-2867
DOI:10.1186/s12935-023-03152-w