Engineering Cell Membrane-Based Nanovesicles for Melanoma Tumor Treatment

Author:

Xin Shengchang1,Wu Yingyi2,Huang Zhijie3,Huang Yisheng3,Jia Bo3,Zhao Jing1

Affiliation:

1. State Key Laboratory of Coordination Chemistry Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University Nanjing 210093, Jiangsu, PR China

2. School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, 518107, Guangdong, PR China

3. Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou 510280, Guangdong, PR China

Abstract

Malignant melanoma has a poor prognosis because of its strong ability to invade tissues and metastasize. Immune checkpoint blockades significantly improve the clinical response in the development of melanoma. However, there are some obstacles to overcome, such as cost and limited application. Therefore, prospective approaches remain to be exploited. We designed cellular nanovesicles (NVs) expressing PD-1 to reactivate T cells by disrupting the PD-1/PD-L1 immunoinhibitory pathway. Furthermore, siNF90 was wrapped into PD-1 NVs to inhibit the proliferation of tumor cells. Such a dual target effect is helpful for the treatment of melanoma. In addition, our results showed that treatment with PD-1 @siNF90 NVs inhibited the growth of melanoma tumors and extended the survival time of mice, exhibiting a better effect than PD-1 NVs alone. The data also verified that the percentage of CD8+ T cells in tumors was highest after PD-1 @siNF90 NVs treatment. To sum up, PD-1 @siNF90 NVs could serve as safe and effective blockers in the treatment of melanoma.

Publisher

American Scientific Publishers

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering

Cited by 4 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