Synthetic self‐adjuvanted multivalent Mucin 1 (MUC1) glycopeptide vaccines with improved in vivo antitumor efficacy

Author:

Zhou Yang1,Li Xinru1,Guo Yajing1,Wu Ye1,Yin Lixin1,Tu Luyun1,Hong Sheng1,Cai Hui1ORCID,Ding Feiqing1

Affiliation:

1. School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat‐Sen University Shenzhen China

Abstract

AbstractThe tumor‐associated glycoprotein Mucin 1 (MUC1) is aberrantly glycosylated on cancer cells and is considered a promising target for antitumor vaccines. The weak immunogenicity and low sequence homology of mouse mucins and human MUC1 are the main obstacles for the development of vaccines. Herein, a self‐adjuvanted strategy combining toll‐like receptor  2 lipopeptide ligands and T‐cell epitopes and the multivalent effect were used to amplify the immune response and evade the unpredictable immunogenicity, generating two self‐adjuvanted three‐component MUC1 vaccines (mono‐ and trivalent MUC1 vaccines). To simulate the aberrantly glycosylated MUC1 glycoprotein, the MUC1 tandem repeat peptide was bounded with Tn antigens at T9, S15, and T16, and served as B‐cell epitopes. Results showed that both vaccines elicited a robust antibody response in wild‐type mice compared with a weaker response in MUC1 transgenic mice. The trivalent vaccine did not elevate the antibody response level compared with the monovalent vaccine; however, a more delayed tumor growth and prolonged survival time was realized in wild‐type and transgenic mouse models treated with the trivalent vaccine. These results indicate that the self‐adjuvanted three‐component MUC1 vaccines, especially the trivalent vaccine, can trigger robust antitumor effects regardless of sequence homology, and, therefore, show promise for clinical translation.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3