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Cited by 268

The DOI matches its Crossref record; 292 of the 292 references it cites were found in a registry or an index.

Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery

Open access
Hu, Yamei, Dong, Zigang, Liu, Kangdong·2024·Journal of Experimental & Clinical Cancer Research

Abstract

Signal transducer and activator of transcription 3 (STAT3) is a transcriptional factor involved in almost all cancer hallmark features including tumor proliferation, metastasis, angiogenesis, immunosuppression, tumor inflammation, metabolism reprogramming, drug resistance, cancer stemness. Therefore, STAT3 has become a promising therapeutic target in a wide range of cancers. This review focuses on the up-to-date knowledge of STAT3 signaling in cancer. We summarize both the positive and negative modulators of STAT3 together with the cancer hallmarks involving activities regulated by STAT3 and highlight its extremely sophisticated regulation on immunosuppression in tumor microenvironment and metabolic reprogramming. Direct and indirect inhibitors of STAT3 in preclinical and clinical studies also have been summarized and discussed. Additionally, we highlight and propose new strategies of targeting STAT3 and STAT3-based combinations with established chemotherapy, targeted therapy, immunotherapy and combination therapy. These efforts may provide new perspectives for STAT3-based target therapy in cancer.

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Crossref · 10.1186/s13046-024-02949-5

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Metadata

Authors
Hu, Y., Dong, Z., & Liu, K.
Venue
Journal of Experimental & Clinical Cancer Research
Published
2024-01-20
Volume
43
Issue
1
Pages
23-23
ISSN
  • 0392-9078 (ISSN-L)
  • 1756-9966
OpenAlex
W4391052598
Cited by
268
References
292
FWCI
41.13
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery. https://app.cochat.ai/papers/10.1186/s13046-024-02949-5
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Hu, Y., Dong, Z., & Liu, K. (2024). Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery. Journal of Experimental & Clinical Cancer Research. https://doi.org/10.1186/s13046-024-02949-5

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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.