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Cited by 1,065

The DOI matches its Crossref record; 218 of the 218 references it cites were found in a registry or an index.

Targeting TGF-β signal transduction for fibrosis and cancer therapy

Open access
Peng, Dandan, Fu, Minyang, Wang, Manni, Wei, Yuquan, Wei, Xiawei·2022·Molecular Cancer

Abstract

Transforming growth factor β (TGF-β) has long been identified with its intensive involvement in early embryonic development and organogenesis, immune supervision, tissue repair, and adult homeostasis. The role of TGF-β in fibrosis and cancer is complex and sometimes even contradictory, exhibiting either inhibitory or promoting effects depending on the stage of the disease. Under pathological conditions, overexpressed TGF-β causes epithelial-mesenchymal transition (EMT), extracellular matrix (ECM) deposition, cancer-associated fibroblast (CAF) formation, which leads to fibrotic disease, and cancer. Given the critical role of TGF-β and its downstream molecules in the progression of fibrosis and cancers, therapeutics targeting TGF-β signaling appears to be a promising strategy. However, due to potential systemic cytotoxicity, the development of TGF-β therapeutics has lagged. In this review, we summarized the biological process of TGF-β, with its dual role in fibrosis and tumorigenesis, and the clinical application of TGF-β-targeting therapies.

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Metadata

Authors
Peng, D., Fu, M., Wang, M., Wei, Y., & Wei, X.
Venue
Molecular Cancer
Published
2022-04-23
Volume
21
Issue
1
Pages
104-104
ISSN
1476-4598 (ISSN-L)
OpenAlex
W4224221174
Cited by
1,065
References
218
FWCI
57.73
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Targeting TGF-β signal transduction for fibrosis and cancer therapy. https://app.cochat.ai/papers/10.1186/s12943-022-01569-x
The paper
Peng, D., Fu, M., Wang, M., Wei, Y., & Wei, X. (2022). Targeting TGF-β signal transduction for fibrosis and cancer therapy. Molecular Cancer. https://doi.org/10.1186/s12943-022-01569-x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.