Cited by 504Cytokine Signaling Pathways and InteractionsComputational Drug Discovery MethodsProtein Tyrosine Phosphatases

A low-molecular-weight compound discovered through virtual database screening inhibits Stat3 function in breast cancer cells

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Song, Hui, Wang, Renxiao, Wang, Shaomeng, Lin, Jiayuh·2005·Proceedings of the National Academy of Sciences

Abstract

This study focused on the screening of small-molecule inhibitors that target signal transducers and activators of transcription 3 (Stat3) in human breast carcinoma. The constitutive activation of Stat3 is frequently detected in human breast cancer cell lines as well as clinical breast cancer specimens and may play an important role in the oncogenesis of breast carcinoma. Activated Stat3 may participate in oncogenesis by stimulating cell proliferation, promoting tumor angiogenesis, and resisting apoptosis. Because a variety of human cancers are associated with constitutively active Stat3, Stat3 represents an attractive target for cancer therapy. In this study, of the nearly 429,000 compounds screened by virtual database screening, chemical samples of top 100 compounds identified as candidate small-molecule inhibitors of Stat3 were evaluated by using Stat3-dependent luciferase reporter as well as other cell-based assays. Through serial functional evaluation based on our established cell-based assays, one compound, termed STA-21, was identified as the best match for our selection criteria. Further investigation demonstrated that STA-21 inhibits Stat3 DNA binding activity, Stat3 dimerization, and Stat3-dependent luciferase activity. Moreover, STA-21 reduces the survival of breast carcinoma cells with constitutive Stat3 signaling but has minimal effect on the cells in which constitutive Stat3 signaling is absent. Together, these results demonstrate that STA-21 inhibits breast canc…

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Crossref · 10.1073/pnas.0409894102

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  • Recent high throughput and in silico screens have the potential to identify novel strategies for targeting STAT3.

    “Recent high throughput and in silico screens also have the potential to identify novel strategies for targeting STAT3.101,106”

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References 38 · Cited by 504

Authors
Song, H., Wang, R., Wang, S., & Lin, J.
Affiliations
University of Michigan (US)
Venue
Proceedings of the National Academy of Sciences
Published
2005-03-21
Volume
102
Issue
13
Pages
4700-4705
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2078144380
Cited by
504
References
38
Citations by year
2026: 6 · 2025: 7 · 2024: 19 · 2023: 28 · 2022: 18 · 2021: 20 · 2020: 31 · 2019: 36 · 2018: 20 · 2017: 22 · 2016: 29 · 2015: 27 · 2014: 29 · 2013: 34 · 2012: 21
FWCI
11.25
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Defense
  • National Institutes of Health (CA46592)
  • University of Michigan Comprehensive Cancer Center (CA46592, P30 CA46592)
  • National Cancer Institute (P30-CA 46592, CA46592, P30CA046592)
Topics
  • Health Sciences › Medicine › Oncology › Cytokine Signaling Pathways and Interactions
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
Keywords
STAT3, breast cancer, small molecule inhibitors, virtual screening, constitutive STAT3 activation, STAT3 DNA binding, STAT3 dimerization, cell survival, carcinogenesis
MeSH terms
Breast Neoplasms, Cell Transformation, Neoplastic, DNA-Binding Proteins, Humans, Immunohistochemistry, Luciferases, Models, Molecular, Plasmids, Polycyclic Compounds, Protein Binding, Tumor Cells, Cultured, Signal Transduction, Trans-Activators, Databases, Factual, src Homology Domains, Dimerization, Computational Biology, STAT3 Transcription Factor

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