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Updated: Jun 29, 2026

A Technical Guide for Performing Spectroscopic Measurements on Metal-Organic Frameworks
Published on: April 28, 2023
Ferroptosis based on metal-organic frameworks for tumor therapy
1State Key Laboratory of Coordination Chemistry, MOE Key Laboratory of Mesoscopic Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China. xzdu@nju.edu.cn.
Ferroptosis, an iron-driven cell death, shows promise in cancer therapy. Metal-organic frameworks (MOFs) enhance ferroptosis induction and enable combination therapies for improved tumor treatment.
Area of Science:
- Biomedical Engineering
- Materials Science
- Oncology
Background:
- Ferroptosis is a distinct programmed cell death pathway driven by iron-dependent lipid peroxidation.
- Tumor cells can evade ferroptosis by regulating redox and iron homeostasis, limiting its therapeutic efficacy.
- Metal-organic frameworks (MOFs) offer potential as nanocarriers and ferroptosis inducers.
Purpose of the Study:
- To review recent advancements in Fe- and Cu-based MOFs for ferroptosis-based tumor therapy.
- To highlight the synergistic potential of combining ferroptosis with other cancer treatments.
- To outline future challenges and prospects for MOF-based ferroptosis therapies.
Main Methods:
- Review of literature on Fe- and Cu-based MOFs in ferroptosis research.
- Analysis of MOF applications as nanocarriers and therapeutic agents.
- Discussion of combination therapy strategies involving ferroptosis.
Main Results:
- Fe- and Cu-MOFs effectively induce ferroptosis and serve as versatile nanocarriers.
- Combination therapies (ferroptosis with chemo-, photo-, immunotherapy) show enhanced anti-tumor effects.
- Significant progress has been made in the last 5 years, particularly the last 3.
Conclusions:
- Fe- and Cu-MOFs represent a promising strategy for enhancing ferroptosis in cancer therapy.
- MOF-based ferroptosis holds potential for synergistic effects with conventional treatments.
- Addressing challenges in stability, targeting, and scalability is crucial for clinical translation.
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