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Molecular imaging-guided extracellular vesicle-based drug delivery for precise cancer management: Current status and future perspectives

Journal

JOURNAL OF CONTROLLED RELEASE
Volume 362, Issue -, Pages 97-120

Publisher

ELSEVIER
DOI: 10.1016/j.jconrel.2023.08.040

Keywords

Extracellular vesicles; Molecular imaging; Cancer; Diagnosis; Therapy

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Extracellular vesicles (EVs) have gained attention in cancer treatment due to their high biocompatibility, better stability, and excellent safety as compared to other nano-materials. Engineered EVs have emerged as advanced drug delivery systems for targeted cancer diagnosis and therapy. Recent advancements in molecular imaging and EV labeling strategies have provided new tools for evaluating the pharmacokinetics of engineered EVs, promoting the clinical translation of novel EV-based drug delivery platforms.
Extracellular vesicles (EVs), the mediators of intercellular communication, have attracted the attention of researchers for the important roles they play in cancer treatment. Compared with other inorganic nano-materials, EVs possess the advantages of higher biocompatibility, better physiochemical stability, easier surface modification, and excellent biosafety. They can be used as an advanced drug delivery system with an improved therapeutic index for various therapeutic agents. Engineered EV-based imaging and therapeutic agents (engineered EVs) have emerged as useful tools in targeted cancer diagnosis and therapy. Non-invasive tracing of engineered EVs contributes to a better evaluation of their functions in cancer progression, in vivo dynamic biodistribution, therapeutic response, and drug-loading efficiency. Recent advances in real-time molecular imaging (MI), and innovative EV labeling strategies have led to the development of novel tools that can evaluate the pharmacokinetics of engineered EVs in cancer management, which may accelerate further clinical translation of novel EV-based drug delivery platforms. Herein, we review the latest advances in EVs, their characteristics, and current examples of EV-based targeted drug delivery for cancer. Then, we discuss the prominent applications of MI for tracing both natural and engineered EVs. Finally, we discuss the current challenges and considerations of EVs in targeted cancer treatment and the limitations of different MI modalities. In the coming decades, EV-based

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