Back to Search Start Over

Biomimetic nanomedicine cocktail enables selective cell targeting to enhance ovarian Cancer chemo- and immunotherapy.

Authors :
Dong, Zhuolin
Yang, Wenhui
Zhang, Yuzhen
Wang, Baojin
Wan, Xiangling
Li, Mengru
Chen, Yibing
Zhang, Nan
Source :
Journal of Controlled Release. Sep2024, Vol. 373, p172-188. 17p.
Publication Year :
2024

Abstract

Ovarian cancer is one of the deadliest cancers, and combined chemo- and immunotherapies are potential strategies to combat it. However, the anti-cancer efficacy of the combined therapies may be limited by the non-selective co-delivery of chemotherapy and immunotherapy. Herein, a combined chemo- and immunotherapy is designed to selectively target ovarian tumor (ID8) cells and dendritic cells (DCs) using ID8 cell membrane (IM) and bacterial outer membrane vesicles (OMVs), respectively. Doxorubicin (DOX) and Ovalbumin (OVA) peptide (OVA 257–264) are chosen as model chemotherapy and immunotherapy agents, respectively. A DNA nanocube capable of easily loading DOX or OVA 257–264 is chosen as the carrier. Firstly, the DNA nanocube is used to load DOX or OVA 257–264 to prepare cube-DOX or cube-OVA. This nanocube was then encapsulated with IM to form IM@Cube-DOX and with OMV to form OMV@Cube-OVA. IM@Cube-DOX can be selectively taken up by ID8 cells, leading to effective cell killing, while OMV@Cube-OVA targets and activates DC2.4 cells in vitro. Both IM@Cube-DOX and OMV@Cube-OVA show increased accumulation at ID8 tumors in C57BL/6 mice. Combined IM@Cube-DOX + OMV@Cube-OVA therapy demonstrates better anti-tumor efficacy than non-selective delivery methods such as OMV@(Cube-DOX + Cube-OVA) or IM@(Cube-DOX + Cube-OVA) in ID8-OVA tumor-bearing mice. In conclusion, this study demonstrates a biomimetic delivery strategy that enables selective drug delivery to tumor cells and DCs, thereby enhancing the anti-tumor efficacy of combined chemo- and immunotherapy through the selective delivery strategy. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01683659
Volume :
373
Database :
Academic Search Index
Journal :
Journal of Controlled Release
Publication Type :
Academic Journal
Accession number :
179498456
Full Text :
https://doi.org/10.1016/j.jconrel.2024.07.009