Optimizing cancer therapy through metal organic frameworks-based nanozymes.

Int J Biol Macromol

Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, School of Clinical Medicine, North China University of Science and Technology, Tangshan 063000, China. Electronic address:

Published: February 2025

Cancer remains a leading global health challenge, with conventional treatments facing limitations due to drug resistance and adverse effects arising from tumor heterogeneity. Nanozymes, nanomaterials mimicking natural enzymes, have emerged as promising therapeutic agents owing to their catalytic efficiency, stability, and biocompatibility. Among nanozymes, MOFs-based nanozymes are particularly attractive due to the inherent tunability of MOFs, which allows for precise control over their structure, porosity, and catalytic activity. This review comprehensively explores the recent advancements in optimizing cancer therapy through MOFs-based nanozymes. We delve into the classification of these nanozymes based on their enzyme-mimicking activities, including peroxidase, oxidase, catalase, and superoxide dismutase, and discuss their underlying catalytic mechanisms. Additionally, emerging single-atom nanozymes are discussed as a distinct category. Furthermore, we highlight the diverse therapeutic strategies employing MOFs-based nanozymes, such as starvation therapy, oxygen supply, catalytic therapy, glutathione depletion, and activation of therapeutic agents within tumor microenvironment. By exploiting the unique properties of MOFs, these nanozymes demonstrate enhanced therapeutic efficacy in various cancer treatment modalities, including chemotherapy, radiotherapy, photodynamic therapy, and sonodynamic therapy. This review underscores the significant potential of MOFs-based nanozymes as a versatile platform for developing next-generation cancer therapeutics, offering improved targeting, reduced systemic toxicity, and enhanced treatment outcomes.

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http://dx.doi.org/10.1016/j.ijbiomac.2025.141409DOI Listing

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