The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Triple‑negative breast cancer therapy: Current and future perspectives (Review)
Open accessAbstract
Triple‑negative breast cancer (TNBC) accounts for 10‑15% of all breast cancer cases. TNBCs lack estrogen and progesterone receptors and express low levels of HER2, and therefore do not respond to hormonal or anti‑HER2 therapies. TNBC is a particularly aggressive form of breast cancer that generally displays poorer prognosis compared to other breast cancer subtypes. TNBC is chemotherapy sensitive, and this treatment remains the standard of care despite its limited benefit. Recent advances with novel agents have been made for specific subgroups with PD‑L1+ tumors or germline Brca‑mutated tumors. However, only a fraction of these patients responds to immune checkpoint or PARP inhibitors and even those who do respond often develop resistance and relapse. Various new agents and combination strategies have been explored to further understand molecular and immunological aspects of TNBC. In this review, we discuss clinical trials in the management of TNBC as well as perspectives for potential future treatments.
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Cited by
Montazersaheb, S., Farahzadi, R., Mansouri, E., Jafari, S., & Fathi, E. (2026) · Scientific Reports · doi:10.1038/s41598-026-35662-8 · Cited by 5
Metadata
- Authors
- Won, K., & Spruck, C.
- Venue
- International Journal of Oncology
- Publisher
- Spandidos Publications
- Published
- 2020-10-16
- Volume
- 57
- Issue
- 6
- Pages
- 1245-1261
- ISSN
- 1019-6439 (ISSN-L)
- 1791-2423
- OpenAlex
- W3093085805
- Cited by
- 527
- References
- 100
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Won, K., & Spruck, C. (2020). Triple‑negative breast cancer therapy: Current and future perspectives (Review). International Journal of Oncology. https://doi.org/10.3892/ijo.2020.5135
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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.
