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Extracellular vesicles in anti-tumor drug resistance: Mechanisms and therapeutic prospects.

Authors :
Cheng HY
Su GL
Wu YX
Chen G
Yu ZL
Source :
Journal of pharmaceutical analysis [J Pharm Anal] 2024 Jul; Vol. 14 (7), pp. 100920. Date of Electronic Publication: 2023 Dec 16.
Publication Year :
2024

Abstract

Drug resistance presents a significant challenge to achieving positive clinical outcomes in anti-tumor therapy. Prior research has illuminated reasons behind drug resistance, including increased drug efflux, alterations in drug targets, and abnormal activation of oncogenic pathways. However, there's a need for deeper investigation into the impact of drug-resistant cells on parental tumor cells and intricate crosstalk between tumor cells and the malignant tumor microenvironment (TME). Recent studies on extracellular vesicles (EVs) have provided valuable insights. EVs are membrane-bound particles secreted by all cells, mediating cell-to-cell communication. They contain functional cargoes like DNA, RNA, lipids, proteins, and metabolites from mother cells, delivered to other cells. Notably, EVs are increasingly recognized as regulators in the resistance to anti-cancer drugs. This review aims to summarize the mechanisms of EV-mediated anti-tumor drug resistance, covering therapeutic approaches like chemotherapy, targeted therapy, immunotherapy and even radiotherapy. Detecting EV-based biomarkers to predict drug resistance assists in bypassing anti-tumor drug resistance. Additionally, targeted inhibition of EV biogenesis and secretion emerges as a promising approach to counter drug resistance. We highlight the importance of conducting in-depth mechanistic research on EVs, their cargoes, and functional approaches specifically focusing on EV subpopulations. These efforts will significantly advance the development of strategies to overcome drug resistance in anti-tumor therapy.<br />Competing Interests: The authors declare that there are no conflicts of interest.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2214-0883
Volume :
14
Issue :
7
Database :
MEDLINE
Journal :
Journal of pharmaceutical analysis
Publication Type :
Academic Journal
Accession number :
39104866
Full Text :
https://doi.org/10.1016/j.jpha.2023.12.010