The DOI matches its Crossref record; 522 of the 522 references it cites were found in a registry or an index.
Breast cancer: pathogenesis and treatments
Open accessAbstract
Breast cancer, characterized by unique epidemiological patterns and significant heterogeneity, remains one of the leading causes of malignancy-related deaths in women. The increasingly nuanced molecular subtypes of breast cancer have enhanced the comprehension and precision treatment of this disease. The mechanisms of tumorigenesis and progression of breast cancer have been central to scientific research, with investigations spanning various perspectives such as tumor stemness, intra-tumoral microbiota, and circadian rhythms. Technological advancements, particularly those integrated with artificial intelligence, have significantly improved the accuracy of breast cancer detection and diagnosis. The emergence of novel therapeutic concepts and drugs represents a paradigm shift towards personalized medicine. Evidence suggests that optimal diagnosis and treatment models tailored to individual patient risk and expected subtypes are crucial, supporting the era of precision oncology for breast cancer. Despite the rapid advancements in oncology and the increasing emphasis on the clinical precision treatment of breast cancer, a comprehensive update and summary of the panoramic knowledge related to this disease are needed. In this review, we provide a thorough overview of the global status of breast cancer, including its epidemiology, risk factors, pathophysiology, and molecular subtyping. Additionally, we elaborate on the latest research into mechanisms contributing to breast cancer progression, emerging treatment strategies, and long-term patient management. This review offers valuable insights into the latest advancements in Breast Cancer Research, thereby facilitating future progress in both basic research and clinical application.
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1 retracted
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Cited by
Fierro-Salgado, Y. T., Reiriz, M., Beltrán-Velasco, A. I., Calleja-Conde, J., Hernández-Oñativia, X., Uceda, S., & Echeverry-Alzate, V. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262010074 · Cited by 7
Li, P., Dong, Z., Jiang, Q., Yu, C., Liu, Y., Yuan, R., Qiu, Y., Meng, T., Hu, F., & Yuan, H. (2026) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.114406 · Cited by 6
Novel Pt@BSA nanoparticles improve radiotherapeutic outcomes in breast cancer
Zhang, Y., Liu, Y., & Zheng, D. (2026) · RSC Medicinal Chemistry · doi:10.1039/d5md00792e · Cited by 3
Metadata
- Authors
- Xiong, X., Zheng, L.-W., Ding, Y., Chen, Y.-F., Cai, Y.-W., Wang, L.-P., Huang, L., Liu, C.-C., Shao, Z.-M., & Yu, K.-D.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2025-02-19
- Volume
- 10
- Issue
- 1
- Pages
- 49-49
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4407681133
- Cited by
- 958
- References
- 522
- FWCI
- 316.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xiong, X., Zheng, L.-W., Ding, Y., Chen, Y.-F., Cai, Y.-W., Wang, L.-P., Huang, L., Liu, C.-C., Shao, Z.-M., & Yu, K.-D. (2025). Breast cancer: pathogenesis and treatments. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-024-02108-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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