The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Breast Cancer Metastasis: Mechanisms and Therapeutic Implications
Open accessAbstract
Breast cancer is the most common malignancy in women worldwide. Metastasis is the leading cause of high mortality in most cancers. Although predicting the early stage of breast cancer before metastasis can increase the survival rate, breast cancer is often discovered or diagnosed after metastasis has occurred. In general, breast cancer has a poor prognosis because it starts as a local disease and can spread to lymph nodes or distant organs, contributing to a significant impediment in breast cancer treatment. Metastatic breast cancer cells acquire aggressive characteristics from the tumor microenvironment (TME) through several mechanisms including epithelial–mesenchymal transition (EMT) and epigenetic regulation. Therefore, understanding the nature and mechanism of breast cancer metastasis can facilitate the development of targeted therapeutics focused on metastasis. This review discusses the mechanisms leading to metastasis and the current therapies to improve the early diagnosis and prognosis in patients with metastatic breast cancer.
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Cites
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Metadata
- Authors
- Park, M., Kim, D., Ko, S., Kim, A., Mo, K., & Yoon, H.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2022-06-18
- Volume
- 23
- Issue
- 12
- Pages
- 6806
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W4283122919
- Cited by
- 406
- References
- 117
- FWCI
- 29.55
- Type
- journal article
- Language
- en
- Open access
- gold
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- Park, M., Kim, D., Ko, S., Kim, A., Mo, K., & Yoon, H. (2022). Breast Cancer Metastasis: Mechanisms and Therapeutic Implications. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms23126806
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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.