The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.
A Basic Review on Estrogen Receptor Signaling Pathways in Breast Cancer
Open accessAbstract
Breast cancer is the most common cancer and the deadliest among women worldwide. Estrogen signaling is closely associated with hormone-dependent breast cancer (estrogen and progesterone receptor positive), which accounts for two-thirds of tumors. Hormone therapy using antiestrogens is the gold standard, but resistance to these treatments invariably occurs through various biological mechanisms, such as changes in estrogen receptor activity, mutations in the ESR1 gene, aberrant activation of the PI3K pathway or cell cycle dysregulations. All these factors have led to the development of new therapies, such as selective estrogen receptor degraders (SERDs), or combination therapies with cyclin-dependent kinases (CDK) 4/6 or PI3K inhibitors. Therefore, understanding the estrogen pathway is essential for the treatment and new drug development of hormone-dependent cancers. This mini-review summarizes current literature on the signalization, mechanisms of action and clinical implications of estrogen receptors in breast cancer.
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Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699
Molecular portraits of human breast tumours
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., Pollack, J. R., Ross, D. T., Johnsen, H., Akslen, L. A., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,261
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,166
Fisher, B., Anderson, S., Bryant, J., Margolese, R. G., Deutsch, M., Fisher, E. R., Jeong, J.-H., & Wolmark, N. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa022152 · Cited by 6,249
Breast Cancer Treatment: A Review
Waks, A. G., & Winer, E. P. (2019) · JAMA · doi:10.1001/jama.2018.19323 · Cited by 4,804
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Parker, J. S., Mullins, M., Cheang, M. C. U., Leung, S., Voduc, D., Vickery, T., Davies, S., Fauron, C., He, X., Hu, Z., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2008.18.1370 · Cited by 4,721
Elkablawy, M. A., Albasri, A. M., Mohammed, R. A., Hussainy, A. S., Nouh, M. M., & Alhujaily, A. S. (2016) · Saudi Medical Journal · doi:10.15537/smj.2016.2.12285 · Cited by 4,382
Breast cancer statistics, 2019
DeSantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Goding Sauer, A., Jemal, A., & Siegel, R. L. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21583 · Cited by 3,114
Harbeck, N., Penault-Llorca, F., Cortes, J., Gnant, M., Houssami, N., Poortmans, P., Ruddy, K., Tsang, J., & Cardoso, F. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0111-2 · Cited by 3,024
Everolimus in Postmenopausal Hormone-Receptor–Positive Advanced Breast Cancer
Baselga, J., Campone, M., Piccart, M., Burris, H. A., Rugo, H. S., Sahmoud, T., Noguchi, S., Gnant, M., Pritchard, K. I., Lebrun, F., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1109653 · Cited by 2,863
Cited by
Liu, L., Zhou, Y., Liu, J., Zhang, X., He, C., Zeng, X., Dejenie, R., Zeb, U., Zeng, Q., Liu, L., et al. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-07005-0 · Cited by 13
Metadata
- Authors
- Clusan, L., Ferrière, F., Flouriot, G., & Pakdel, F.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2023-04-06
- Volume
- 24
- Issue
- 7
- Pages
- 6834
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W4362667967
- Cited by
- 382
- References
- 150
- FWCI
- 55.96
- Type
- journal article
- Language
- en
- Open access
- gold
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- Clusan, L., Ferrière, F., Flouriot, G., & Pakdel, F. (2023). A Basic Review on Estrogen Receptor Signaling Pathways in Breast Cancer. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms24076834
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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.
