The DOI matches its Crossref record; 207 of the 207 references it cites were found in a registry or an index.
Overcoming cancer chemotherapy resistance by the induction of ferroptosis
Abstract
Development of resistance to chemotherapy in cancer continues to be a major challenge in cancer management. Ferroptosis, a unique type of cell death, is mechanistically and morphologically different from other forms of cell death. Ferroptosis plays a pivotal role in inhibiting tumour growth and has presented new opportunities for treatment of chemotherapy-insensitive tumours in recent years. Emerging studies have suggested that ferroptosis can regulate the therapeutic responses of tumours. Accumulating evidence supports ferroptosis as a potential target for chemotherapy resistance. Pharmacological induction of ferroptosis could reverse drug resistance in tumours. In this review article, we first discuss the key principles of chemotherapeutic resistance in cancer. We then provide a brief overview of the core mechanisms of ferroptosis in cancer chemotherapeutic drug resistance. Finally, we summarise the emerging data that supports the fact that chemotherapy resistance in different types of cancers could be subdued by pharmacologically inducing ferroptosis. This review article suggests that pharmacological induction of ferroptosis by bioactive compounds (ferroptosis inducers) could overcome chemotherapeutic drug resistance. This article also highlights some promising therapeutic avenues that could be used to overcome chemotherapeutic drug resistance in cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
2 retracted
CHEN, L., LI, X., LIU, L., YU, B., XUE, Y., & LIU, Y. (2015) · Oncology Reports · doi:10.3892/or.2015.3712 · Cited by 279
RetractedHan, S., Liu, Q., Yang, Z., Ma, J., Liu, D., Yan, C., & Liang, D. (2022) · Disease Markers · doi:10.1155/2022/6400227 · Cited by 10
RetractedFerroptosis: An Iron-Dependent Form of Nonapoptotic Cell Death
Dixon, S. J., Lemberg, K. M., Lamprecht, M. R., Skouta, R., Zaitsev, E. M., Gleason, C. E., Patel, D. N., Bauer, A. J., Cantley, A. M., Yang, W. S., et al. (2012) · Cell · doi:10.1016/j.cell.2012.03.042 · Cited by 18,691
Ferroptosis: mechanisms, biology and role in disease
Jiang, X., Stockwell, B. R., & Conrad, M. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00324-8 · Cited by 7,505
Dekker, E., Tanis, P. J., Vleugels, J. L. A., Kasi, P. M., & Wallace, M. B. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32319-0 · Cited by 4,974
Tumour stem cells and drug resistance
Dean, M., Fojo, T., & Bates, S. (2005) · Nature reviews. Cancer · doi:10.1038/nrc1590 · Cited by 3,668
Ferroptosis as a p53-mediated activity during tumour suppression
Jiang, L., Kon, N., Li, T., Wang, S.-J., Su, T., Hibshoosh, H., Baer, R., & Gu, W. (2015) · Nature · doi:10.1038/nature14344 · Cited by 3,398
Ferroptosis turns 10: Emerging mechanisms, physiological functions, and therapeutic applications
Stockwell, B. R. (2022) · Cell · doi:10.1016/j.cell.2022.06.003 · Cited by 3,056
Broadening horizons: the role of ferroptosis in cancer
Chen, X., Kang, R., Kroemer, G., & Tang, D. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-00462-0 · Cited by 2,897
Mechanisms of Cancer Drug Resistance
Gottesman, M. M. (2002) · Annual Review of Medicine · doi:10.1146/annurev.med.53.082901.103929 · Cited by 2,643
Cited by
Polyunsaturated Fatty Acids Drive Lipid Peroxidation during Ferroptosis
Mortensen, M. S., Ruiz, J., & Watts, J. L. (2023) · Cells · doi:10.3390/cells12050804 · Cited by 312
The role of mesenchymal stem cells in cancer and prospects for their use in cancer therapeutics
Tang, J., Chen, Y., Wang, C., Xia, Y., Yu, T., Tang, M., Meng, K., Yin, L., Yang, Y., Shen, L., et al. (2024) · MedComm · doi:10.1002/mco2.663 · Cited by 31
Metadata
- Authors
- Wang, Y., Wu, X., Ren, Z., Li, Y., Zou, W., Chen, J., & Wang, H.
- Venue
- Drug Resistance Updates
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 66
- Pages
- 100916
- ISSN
- 1368-7646 (ISSN-L)
- OpenAlex
- W4313560081
- Cited by
- 361
- References
- 207
- FWCI
- 39.61
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Overcoming cancer chemotherapy resistance by the induction of ferroptosis. https://app.cochat.ai/papers/10.1016/j.drup.2022.100916
- The paper
- Wang, Y., Wu, X., Ren, Z., Li, Y., Zou, W., Chen, J., & Wang, H. (2023). Overcoming cancer chemotherapy resistance by the induction of ferroptosis. Drug Resistance Updates. https://doi.org/10.1016/j.drup.2022.100916
Data sources
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.
