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Emerging Strategies of Cancer Therapy Based on Ferroptosis

Open access
Shen, Zheyu, Song, Jibin, Yung, Bryant C., Zhou, Zijian, Wu, Aiguo, Chen, Xiaoyuan·2018·Advanced Materials

Abstract

Ferroptosis, a new form of regulated cell death that is iron‐ and reactive oxygen species dependent, has attracted much attention in the research communities of biochemistry, oncology, and especially material sciences. Since the first demonstration in 2012, a series of strategies have been developed to induce ferroptosis of cancer cells, including the use of nanomaterials, clinical drugs, experimental compounds, and genes. A plethora of research work has outlined the blueprint of ferroptosis as a new option for cancer therapy. However, the published ferroptosis‐related reviews have mainly focused on the mechanisms and pathways of ferroptosis, which motivated this contribution to bridge the gap between biological significance and material design. Therefore, it is timely to summarize the previous efforts on the emerging strategies for inducing ferroptosis and shed light on future directions for using such a tool to fight against cancer. Here, the current strategies of cancer therapy based on ferroptosis will be elaborated, the design considerations and the advantages and limitations are highlighted, and finally a future perspective on this emerging field is given.

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Metadata

Authors
Shen, Z., Song, J., Yung, B. C., Zhou, Z., Wu, A., & Chen, X.
Venue
Advanced Materials
Publisher
Wiley
Published
2018-01-22
Volume
30
Issue
12
Pages
e1704007-e1704007
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2786943354
Cited by
740
References
24
FWCI
47.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Emerging Strategies of Cancer Therapy Based on Ferroptosis. https://app.cochat.ai/papers/10.1002/adma.201704007
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Shen, Z., Song, J., Yung, B. C., Zhou, Z., Wu, A., & Chen, X. (2018). Emerging Strategies of Cancer Therapy Based on Ferroptosis. Advanced Materials. https://doi.org/10.1002/adma.201704007

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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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