The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.
Molecular mechanisms of platinum‑based chemotherapy resistance in ovarian cancer (Review)
Open accessAbstract
Cisplatin is one of the most effective chemotherapy drugs for ovarian cancer, but resistance is common. The initial response to platinum‑based chemotherapy is as high as 80%, but in most advanced patients, final relapse and death are caused by acquired drug resistance. The development of resistance to therapy in ovarian cancer is a significant hindrance to therapeutic efficacy. The resistance of ovarian cancer cells to chemotherapeutic mechanisms is rather complex and includes multidrug resistance, DNA damage repair, cell metabolism, oxidative stress, cell cycle regulation, cancer stem cells, immunity, apoptotic pathways, autophagy and abnormal signaling pathways. The present review provided an update of recent developments in our understanding of the mechanisms of ovarian cancer platinum‑based chemotherapy resistance, discussed current and emerging approaches for targeting these patients and presented challenges associated with these approaches, with a focus on development and overcoming resistance.
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1 retracted
Janzen, D. M., Tiourin, E., Salehi, J. A., Paik, D. Y., Lu, J. N., Pellegrini, M. A., & Memarzadeh, S. (2015) · Nature Communications · doi:10.1038/ncomms8956 · Cited by 69
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
Intratumoral T Cells, Recurrence, and Survival in Epithelial Ovarian Cancer
Zhang, L., Conejo-Garcia, J. R., Katsaros, D., Gimotty, P. A., Massobrio, M., Regnani, G., Makrigiannakis, A., Gray, H., Schlienger, K., Liebman, M. N., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa020177 · Cited by 3,397
Batlle, E., & Clevers, H. (2017) · Nature Medicine · doi:10.1038/nm.4409 · Cited by 2,769
ARID1A Mutations in Endometriosis-Associated Ovarian Carcinomas
Wiegand, K. C., Shah, S. P., Al-Agha, O. M., Zhao, Y., Tse, K., Zeng, T., Senz, J., McConechy, M. K., Anglesio, M. S., Kalloger, S. E., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1008433 · Cited by 1,712
Aghajanian, C., Blank, S. V., Goff, B. A., Judson, P. L., Teneriello, M. G., Husain, A., Sovak, M. A., Yi, J., & Nycum, L. R. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.42.0505 · Cited by 1,384
Matulonis, U. A., Sood, A. K., Fallowfield, L., Howitt, B. E., Sehouli, J., & Karlan, B. Y. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.61 · Cited by 1,362
Identification and Characterization of Ovarian Cancer-Initiating Cells from Primary Human Tumors
Zhang, S., Balch, C., Chan, M. W., Lai, H.-C., Matei, D., Schilder, J. M., Yan, P. S., Huang, T. H.-M., & Nephew, K. P. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-0364 · Cited by 1,293
A transforming mutation in the pleckstrin homology domain of AKT1 in cancer
Carpten, J. D., Faber, A. L., Horn, C., Donoho, G. P., Briggs, S. L., Robbins, C. M., Hostetter, G., Boguslawski, S., Moses, T. Y., Savage, S., et al. (2007) · Nature · doi:10.1038/nature05933 · Cited by 1,292
Frequent Mutations of Chromatin Remodeling Gene ARID1A in Ovarian Clear Cell Carcinoma
Jones, S., Wang, T.-L., Shih, I.-M., Mao, T.-L., Nakayama, K., Roden, R., Glas, R., Slamon, D., Diaz, L. A., Vogelstein, B., et al. (2010) · Science · doi:10.1126/science.1196333 · Cited by 1,219
Metadata
- Authors
- Yang, L., Xie, H.-J., Li, Y.-Y., Wang, X., Liu, X.-X., & Mai, J.
- Venue
- Oncology Reports
- Publisher
- Spandidos Publications
- Published
- 2022-02-25
- Volume
- 47
- Issue
- 4
- ISSN
- 1021-335X (ISSN-L)
- 1791-2431
- OpenAlex
- W4214731166
- Cited by
- 304
- References
- 136
- FWCI
- 40.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yang, L., Xie, H.-J., Li, Y.-Y., Wang, X., Liu, X.-X., & Mai, J. (2022). Molecular mechanisms of platinum‑based chemotherapy resistance in ovarian cancer (Review). Oncology Reports. https://doi.org/10.3892/or.2022.8293
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