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Nanotechnological strategies for prostate cancer imaging and diagnosis

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Abstract

The high incidence rates and complicated subtypes of prostate cancer (PCa) call for the demand of the precise diagnostic and therapeutic strategies. Current clinical imaging techniques, such as MRI, CT, and ultrasonography are difficult to accurately detect the early-stage tumor lesions, and biochemical assays or biopsies are invasive and cannot provide sufficient information for the PCa staging and classification. Nanotechnology has the potential to improve the accuracy of current diagnosis strategies by targeting specific PCa biomarkers and/or integrating multiple imaging modes. In this review, we briefly introduce current clinical PCa imaging strategies and their major limitations, and highlight representative works on nanoparticle-mediated multi-mode imaging strategies. We also discuss the challenges of nanotechnology-based PCa diagnosis, and come up with suggestions and perspectives.

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Acknowledgements

This work was supported by the National Key R&D Program of China (2021YFA0909900).

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  1. These authors contributed equally to this work.

Authors and Affiliations

  1. CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China

    Thecla Trinity Wheeler, Pei Cao, Muhammad Daniyal Ghouri, Tianjiao Ji, Guangjun Nie & Yuliang Zhao

  2. Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China

    Pei Cao, Tianjiao Ji & Guangjun Nie

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Thecla Trinity Wheeler & Muhammad Daniyal Ghouri

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  1. Thecla Trinity Wheeler
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  2. Pei Cao
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  3. Muhammad Daniyal Ghouri
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  4. Tianjiao Ji
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Correspondence to Tianjiao Ji or Yuliang Zhao.

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Wheeler, T.T., Cao, P., Ghouri, M.D. et al. Nanotechnological strategies for prostate cancer imaging and diagnosis. Sci. China Chem. 65, 1498–1514 (2022). https://doi.org/10.1007/s11426-022-1271-0

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  • DOI: https://doi.org/10.1007/s11426-022-1271-0

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