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Mapping the Nanotechnology Patent Landscape in the Field of Cancer

Overview
Specialty Biotechnology
Date 2023 Jun 1
PMID 37259209
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Abstract

Background: Currently, cancer is still a significant disease that seriously endangers human health. Therefore, advanced diagnostic technology and treatment protocols are urgently needed. The rapid development of nanotechnology is expected to provide new ideas for cancer diagnosis and treatment.

Objective: The research aims to comprehensively demonstrate the hotspots of nanotechnology applications in cancer.

Methods: In this study, an International Patent Classification codes co-occurrence network is constructed to visualize the technology landscape by simultaneously locating and ranking technologies that play an integral role in nanotechnology diffusion and bridging in the field of cancer. In addition, community identification and topic modeling highlight the latent topics in patent documents.

Results: The visualization results of the patent network yield five main clusters: Cluster 0 is a nanoparticle composition delivery system with liposomes as the primary carrier. Cluster 1 is mainly represented by nano-immunotherapy with immune checkpoint inhibitors. Cluster 2 is nano phototherapy based on photodynamic therapy and photothermal therapy. Cluster 3 is diagnostic imaging involving nanotechnology. Cluster 4 is a drug delivery system with nanovesicles and albumin nanoparticles as carriers.

Conclusion: It was found that carriers represented by liposomes, vesicles, and albumin nanoparticles are essential nanomaterials in the current anticancer drug delivery systems. Integrating next-generation immunosuppressants and nanotechnology will become an important development direction for future immunotherapy. Organic/inorganic nanomaterials are pivotal in cancer imaging diagnosis and phototherapy.

Citing Articles

Nano-energy interference: A novel strategy for blunting tumor adaptation and metastasis.

Teng F, Fu D, Shi C, Xiong A, Yang M, Su C Mater Today Bio. 2024; 25:100984.

PMID: 38356962 PMC: 10865032. DOI: 10.1016/j.mtbio.2024.100984.

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