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Circular RNA‐based neoantigen vaccine for hepatocellular carcinoma immunotherapy

Authors :
Fei Wang
Guang Cai
Yingchao Wang
Qiuyu Zhuang
Zhixiong Cai
Yingying Li
Shaodong Gao
Fang Li
Cuilin Zhang
Bixing Zhao
Xiaolong Liu
Source :
MedComm, Vol 5, Iss 8, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract mRNA vaccines are regarded as a highly promising avenue for next‐generation cancer therapy. Nevertheless, the intricacy of production, inherent instability, and low expression persistence of linear mRNA significantly restrict their extensive utilization. Circular RNAs (circRNAs) offer a novel solution to these limitations due to their efficient protein expression ability, which can be rapidly generated in vitro without the need for extra modifications. Here, we present a novel neoantigen vaccine based on circRNA that induces a potent anti‐tumor immune response by expressing hepatocellular carcinoma‐specific tumor neoantigens. By cyclizing linearRNA molecules, we were able to enhance the stability of RNA vaccines and form highly stable circRNA molecules with the capacity for sustained protein expression. We confirmed that neoantigen‐encoded circRNA can promote dendritic cell (DC) activation and enhance DC‐induced T‐cell activation in vitro, thereby enhancing T‐cell killing of tumor cells. Encapsulating neoantigen‐encoded circRNA within lipid nanoparticles for in vivo expression has enabled the creation of a novel circRNA vaccine platform. This platform demonstrates superior tumor treatment and prevention in various murine tumor models, eliciting a robust T‐cell immune response. Our circRNA neoantigen vaccine offers new options and application prospects for neoantigen immunotherapy in solid tumors.

Details

Language :
English
ISSN :
26882663
Volume :
5
Issue :
8
Database :
Directory of Open Access Journals
Journal :
MedComm
Publication Type :
Academic Journal
Accession number :
edsdoj.7b8925fd9fda4a41a248ad5fb1717784
Document Type :
article
Full Text :
https://doi.org/10.1002/mco2.667