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March 3, 2026Advanced Healthcare Materials6 citations

Engineering Hafnium Oxide‐Based Nanoplatforms for Precision Radiosensitization

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MGMingming GaoKZKang ZhuZWZhao Wang

Key Points

  • Radiosensitization improvements from hafnium oxide lead to direct radiation dose enhancement within tumors, boosting treatment responses.
  • Key metrics include enhanced X-ray absorption and radical generation from nanoscale hafnium oxide, facilitating better radiotherapy outcomes.
  • Reviewing synthesis methods like sol-gel and hydrothermal processes, optimizing tunable parameters for consistent nanoscale production is crucial.
  • Challenges in scalability and long-term safety persist in clinical settings, highlighting the need for further development of smart nanoplatforms.

Abstract

Hafnium oxide (HfO2)-based nanomaterials are emerging as powerful tools to enhance radiotherapy by utilizing their high atomic number (Z). By depositing a greater radiation dose directly within tumors, they offer a promising route to improve treatment efficacy. This review traces the development of HfO2 nanoradiosensitizers, starting with the clinically established NBTXR3, an approved hafnium-based benchmark for several solid tumors. We analyze the structural characteristics and radiosensitization mechanisms of nanoscale HfO2, which include improved X-ray absorption, radical generation, and immunomodulation. Key synthesis methods such as sol-gel, precipitation, and hydrothermal approaches are evaluated in detail, with emphasis on their tunable parameters and reproducibility. Recent progress focuses on material optimization through size control, surface engineering, composite design, and Hf-MOFs, as well as combination strategies. Despite encouraging preclinical results, challenges remain in scalable fabrication, long-term biosafety, and clinical translation. Future directions point toward smart stimuli-responsive platforms and multimodal theranostic systems. This review highlights the potential of HfO2 to precision radiotherapy while acknowledging existing translational challenges.

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Cite This Study

Gao et al. (2026) studied this question.

synapsesocial.com/papers/69a75a74c6e9836116a204cbhttps://doi.org/10.1002/adhm.202505200
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