Zheng, B., Liu, Z., Wang, H. et al. (11 more authors) (2022) R11 modified tumor cell membrane nanovesicle-camouflaged nanoparticles with enhanced targeting and mucus-penetrating efficiency for intravesical chemotherapy for bladder cancer. Journal of Controlled Release, 351. pp. 834-846. ISSN 0168-3659
Abstract
Intravesical chemotherapy is generally used in the clinic for treating bladder cancer (BCa), but its efficacy is limited due to the permeation barrier and side effects caused by the off-targeting of normal urothelial cells. In this study, BCa cell-derived membrane nanovesicles were used as drug carriers, and their homologous tumor-targeting capacity was utilized. A BCa-targeting hendeca-arginine peptide was functionalized onto the nanovesicles to impart a mucus-penetrating ability and thus overcome the permeation barrier. The tumor-targeting and mucus-penetrating nanovesicles were stable in urine, were highly permeable to the glycosaminoglycan layer, and specifically targeted BCa. The vesicles were internalized through caveolin-mediated endocytosis, were transported to nonlysosome-localized intracellular regions, and efficiently infiltrated bladder tumor spheroids. In in vivo intravesical chemotherapy, the nanovesicles achieved chemo-resection in murine orthotopic BCa models. This BCa-targeting and mucus-penetrating drug delivery system may be promising for the intravesical chemotherapy of BCa.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0). |
Keywords: | Bladder cancer, Intravesical therapy, Cell membrane-camouflaged nanoparticle, Mucus-penetrating |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jul 2024 10:49 |
Last Modified: | 25 Jul 2024 10:49 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jconrel.2022.09.055 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:215167 |