The DOI matches its Crossref record; 187 of the 187 references it cites were found in a registry or an index.
Mechanisms of Chemotherapy Resistance in Triple-Negative Breast Cancer—How We Can Rise to the Challenge
Open accessAbstract
Triple-negative (TNBC) is the most lethal subtype of breast cancer owing to high heterogeneity, aggressive nature, and lack of treatment options. Chemotherapy remains the standard of care for TNBC treatment, but unfortunately, patients frequently develop resistance. Accordingly, in recent years, tremendous effort has been made into elucidating the mechanisms of TNBC chemoresistance with the goal of identifying new molecular targets. It has become evident that the development of TNBC chemoresistance is multifaceted and based on the elaborate interplay of the tumor microenvironment, drug efflux, cancer stem cells, and bulk tumor cells. Alterations of multiple signaling pathways govern these interactions. Moreover, TNBC’s high heterogeneity, highlighted in the existence of several molecular signatures, presents a significant obstacle to successful treatment. In the present, in-depth review, we explore the contribution of key mechanisms to TNBC chemoresistance as well as emerging strategies to overcome them. We discuss novel anti-tumor agents that target the components of these mechanisms and pay special attention to their current clinical development while emphasizing the challenges still ahead of successful TNBC management. The evidence presented in this review outlines the role of crucial pathways in TNBC survival following chemotherapy treatment and highlights the importance of using combinatorial drug strategies and incorporating biomarkers in clinical studies.
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1 retracted
Samanta, D., Gilkes, D. M., Chaturvedi, P., Xiang, L., & Semenza, G. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421438111 · Cited by 460
RetractedBray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
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
Sørlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., Hastie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 10,938
Lehmann, B. D., Bauer, J. A., Chen, X., Sanders, M. E., Chakravarthy, A. B., Shyr, Y., & Pietenpol, J. A. (2011) · Journal of Clinical Investigation · doi:10.1172/jci45014 · Cited by 5,592
Triple-negative breast cancer: clinical features and patterns of recurrence
Dent, R., Trudeau, M., Pritchard, K. I., Hanna, W. M., Kahn, H. K., Sawka, C. A., Lickley, L. A., Rawlinson, E., Sun, P., & Narod, S. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3045 · Cited by 5,091
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
Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer
Schmid, P., Adams, S., Rugo, H. S., Schneeweiss, A., Barrios, C. H., Iwata, H., Diéras, V., Hegg, R., Im, S.-A., Shaw Wright, G., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1809615 · Cited by 4,350
Olaparib for Metastatic Breast Cancer in Patients with a Germline BRCA Mutation
Robson, M., Im, S.-A., Senkus, E., Xu, B., Domchek, S. M., Masuda, N., Delaloge, S., Li, W., Tung, N., Armstrong, A., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1706450 · Cited by 3,294
Cited by
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Overcoming cancer chemotherapy resistance by the induction of ferroptosis
Wang, Y., Wu, X., Ren, Z., Li, Y., Zou, W., Chen, J., & Wang, H. (2023) · Drug Resistance Updates · doi:10.1016/j.drup.2022.100916 · Cited by 361
Triple-negative breast cancer therapeutic resistance: Where is the Achilles' heel?
Bai, X., Ni, J., Beretov, J., Graham, P., & Li, Y. (2021) · Cancer Letters · doi:10.1016/j.canlet.2020.10.016 · Cited by 283
Mechanisms of Taxane Resistance
Maloney, S., Spring, C., Morejon-Lasso, L., & Prosperi, J. (2020) · Cancers · doi:10.3390/cancers12113323 · Cited by 198
Recent updates on innovative approaches to overcome drug resistance for better outcomes in cancer
Sharma, M., Bakshi, A. K., Mittapelly, N., Gautam, S., Marwaha, D., Rai, N., Singh, N., Tiwari, P., Agarwal, N., Kumar, A., et al. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.04.007 · Cited by 84
Metadata
- Authors
- Nedeljković, M., & Damjanović, A.
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2019-08-22
- Volume
- 8
- Issue
- 9
- Pages
- 957
- ISSN
- 2073-4409 (ISSN-L)
- OpenAlex
- W2969263349
- Cited by
- 870
- References
- 187
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- gold
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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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