Recent advances in nanotechnology for programmed death ligand 1-targeted cancer theranostics
Programmed cell death ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) checkpoint inhibitor-based immunotherapy has provided a unique and potent weapon against cancer in clinical practice. The likelihood of achieving beneficial effects from PD-L1/PD-1 immune checkpoint blockade (ICB) therapy is clinically assessed by detecting PD-L1 expression through invasive tissue biopsies. However, PD-L1 expression is susceptible to tumor heterogeneity and dynamic response to ICB therapy. Moreover, currently, anti-PD-L1 immunotherapy still faces challenges of the low targeting efficiency of antibody drugs and the risk of immune-associated adverse events. To overcome these issues, advanced nanotechnology has been developed for the purpose of quantitative, non-invasive, and dynamic analyses of PD-L1, and to enhance the efficiency of ICB therapy. In this review, we first introduce the nanoprobe-assisted in vitro/in vivo modalities for the selective and sensitive analysis of PD-L1 during the diagnostic and therapeutic process. On the other hand, the feasibility of fabricating diverse functional nanocarriers as smart delivery systems for precisely targeted delivery of PD-L1 immune checkpoint inhibitors and combined therapies is highlighted. Finally, the current challenges are discussed and future perspectives for PD-L1-targeted cancer theranostics in preclinical research and clinical settings are proposed.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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Enthalten in: |
Journal of materials chemistry. B - 12(2024), 13 vom: 27. März, Seite 3191-3208 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Gao, Xinxin [VerfasserIn] |
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Links: |
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Themen: |
Antibodies, Monoclonal |
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Anmerkungen: |
Date Completed 28.03.2024 Date Revised 28.03.2024 published: Electronic Citation Status MEDLINE |
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doi: |
10.1039/d3tb02787b |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM369870506 |
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