ReviewFrontiers in pharmacology2024
The application of peroxidase mimetic nanozymes in cancer diagnosis and therapy.
Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Engineering nanozymes for cancer theranostics: Chemical design, catalytic intelligence, and translational oncology frontiers.Translational oncology · 2026Review
- Synergistic Sono-Chemodynamic Therapy of Renal Cell Carcinoma Using HKUST-1@TiOInternational journal of nanomedicine · 2026Article
- Preclinical Nanoparticle Approaches Targeting Tumor-Associated Macrophages in Breast Cancer: From Mechanisms to Therapeutic Strategies.International journal of nanomedicine · 2026Review
- Emerging versatile nanozymes for the therapeutic and diagnostic applications of diseases.Journal of translational medicine · 2025Review
- Iron oxide nanoparticles: biosynthesis, peroxidase-like activity, and biosafety.Applied microbiology and biotechnology · 2025Review
- Deep Learning-Enhanced Nanozyme-Based Biosensors for Next-Generation Medical Diagnostics.Biosensors · 2025Review
- Nanomedicine in cardiovascular and cerebrovascular diseases: targeted nanozyme therapies and their clinical potential and current challenges.Journal of nanobiotechnology · 2025Review
- Cancer therapy with engineered nanozymes: from molecular design to tumour-responsive catalysis.Nanomedicine (London, England) · 2025Review
- Recent Advances in Nanozyme-Based Sensing Technology for Antioxidant Detection.Sensors (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent decades, scholarly investigations have predominantly centered on nanomaterials possessing enzyme-like characteristics, commonly referred to as nanozymes. These nanozymes have emerged as viable substitutes for natural enzymes, offering simplicity, stability, and superior performance across various applications. Inorganic nanoparticles have been extensively employed in the emulation of enzymatic activity found in natural systems. Nanoparticles have shown a strong ability to mimic a number of enzyme-like functions. These systems have made a lot of progress thanks to the huge growth in nanotechnology research and the unique properties of nanomaterials. Our presentation will center on the kinetics, processes, and applications of peroxidase-like nanozymes. In this discourse, we will explore the various characteristics that exert an influence on the catalytic activity of nanozymes, with a particular emphasis on the prevailing problems and prospective consequences. This paper presents a thorough examination of the latest advancements achieved in the domain of peroxidase mimetic nanozymes in the context of cancer diagnosis and treatment. The primary focus is on their use in catalytic cancer therapy, alongside chemotherapy, phototherapy, sonodynamic therapy, radiation, and immunotherapy. The primary objective of this work is to offer theoretical and technical assistance for the prospective advancement of anticancer medications based on nanozymes. Moreover, it is anticipated that this will foster the investigation of novel therapeutic strategies aimed at achieving efficacious tumor therapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.