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Cited by 304

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 access
Yang, Ling, Xie, Hong-Jian, Li, Ying-Ying, Wang, Xia, Liu, Xing-Xin, Mai, Jia·2022·Oncology Reports

Abstract

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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Crossref · 10.3892/or.2022.8293

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Metadata

Authors
Yang, L., Xie, H.-J., Li, Y.-Y., Wang, X., Liu, X.-X., & Mai, J.
Venue
Oncology Reports
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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CoChat. (2026). Citation check: Molecular mechanisms of platinum‑based chemotherapy resistance in ovarian cancer (Review). https://app.cochat.ai/papers/10.3892/or.2022.8293
The paper
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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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.