The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Role of STAT3 signaling pathway in breast cancer
Open accessAbstract
Breast cancer has grown to be the second leading cause of cancer-related deaths in women. Only a few treatment options are available for breast cancer due to the widespread occurrence of chemoresistance, which emphasizes the need to discover and develop new methods to treat this disease. Signal transducer and activator of transcription 3 (STAT3) is an early tumor diagnostic marker and is known to promote breast cancer malignancy. Recent clinical and preclinical data indicate the involvement of overexpressed and constitutively activated STAT3 in the progression, proliferation, metastasis and chemoresistance of breast cancer. Moreover, new pathways comprised of upstream regulators and downstream targets of STAT3 have been discovered. In addition, small molecule inhibitors targeting STAT3 activation have been found to be efficient for therapeutic treatment of breast cancer. This systematic review discusses the advances in the discovery of the STAT3 pathways and drugs targeting STAT3 in breast cancer.
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Li, Z., Chen, Y., An, T., Liu, P., Zhu, J., Yang, H., Zhang, W., Dong, T., Jiang, J., Zhang, Y., et al. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1134-y · Cited by 69
RetractedZhang, W., Yu, W., Cai, G., Zhu, J., Zhang, C., Li, S., Guo, J., Yin, G.-P., Chen, C., & Kong, L. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-1139-z · Cited by 48
RetractedKhaki‐Khatibi, F., Ghorbani, M., Sabzichi, M., Ramezani, F., & Mohammadian, J. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.10.183 · Cited by 27
RetractedLi, Z., He, F., Yang, Z.-J., Cao, X., Dai, S., Zou, J., Xu, P., & Zhou, Z. (2019) · RSC Advances · doi:10.1039/c8ra06750c · Cited by 6
RetractedDarnell, J. E., Kerr, L. M., & Stark, G. R. (1994) · Science · doi:10.1126/science.8197455 · Cited by 6,080
Bromberg, J. F., Wrzeszczynska, M. H., Devgan, G., Zhao, Y., Pestell, R. G., Albanese, C., & Darnell, J. E. (1999) · Cell · doi:10.1016/s0092-8674(00)81959-5 · Cited by 2,790
Revisiting STAT3 signalling in cancer: new and unexpected biological functions
Yu, H., Lee, H., Herrmann, A., Buettner, R., & Jove, R. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3818 · Cited by 2,137
Wang, T., Fahrmann, J. F., Lee, H., Li, Y.-J., Tripathi, S. C., Yue, C., Zhang, C., Lifshitz, V., Song, J., Yuan, Y., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.11.001 · Cited by 825
Levy, D. E., & Lee, C. (2002) · Journal of Clinical Investigation · doi:10.1172/jci15650 · Cited by 810
Levy, D. E., & Lee, C.-K. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215650 · Cited by 734
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Recent advances in targeted strategies for triple-negative breast cancer
Zhu, S., Wu, Y., Song, B., Yi, M., Yan, Y., Mei, Q., & Wu, K. (2023) · Journal of Hematology & Oncology · doi:10.1186/s13045-023-01497-3 · Cited by 331
Luo, K., Gao, Y., Yin, S., Yao, Y., Yu, H., Wang, G., & Li, J. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.07.029 · Cited by 70
Breast Cancer and the Other Non-Coding RNAs
Dvorská, D., Braný, D., Ňachajová, M., Halašová, E., & Danková, Z. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063280 · Cited by 38
Towards a predicted anti-aging molecular targets of asiaticoside based on bioinformatics analysis
Ayu Kencana, M. V. S. (2025) · International Journal of Medical Biochemistry · doi:10.14744/ijmb.2024.26122 · Cited by 2
“This ultimately regulates the transcriptional activation of MMP-2/9, thereby exacerbating the detrimental effects on the skin [64, 66, 67].”
Metadata
- Authors
- Ma, J.-H., Qin, L., & Li, X.
- Venue
- Cell Communication and Signaling
- Published
- 2020-02-28
- Volume
- 18
- Issue
- 1
- Pages
- 33-33
- ISSN
- 1478-811X (ISSN-L)
- OpenAlex
- W3010774829
- Cited by
- 420
- References
- 113
- FWCI
- 16.44
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
