Tailoring Nanovectors for Optimal Neoantigen Vaccine Efficacy

免疫系统 细胞毒性T细胞 免疫疗法 癌症免疫疗法 CD8型 T细胞 抗原 计算生物学 免疫学 生物 癌症研究 体外 生物化学
作者
Youshi Zheng,Binghe Wang,Zhixiong Cai,Zisen Lai,Haijun Yu,Ming Wu,Xiaolong Liu,Da Zhang
出处
期刊:Journal of Materials Chemistry B [Royal Society of Chemistry]
标识
DOI:10.1039/d4tb02547d
摘要

The primary objective of neoantigen vaccines is to elicit a robust anti-tumor immune response by generating neoantigen-specific T cells that can eradicate tumor cells. Despite substantial advancements in personalized neoantigen prediction using next-generation sequencing, machine learning, and mass spectrometry, challenges remain in efficiently expanding neoantigen-specific T cell populations in vivo. This challenge impedes the widespread clinical application of neoantigen vaccines. Nanovector-based neoantigen delivery systems have emerged as a promising solutions to this challenge. These nanovectors offer several advantages, such as enhanced stability, targeted intracellular delivery, sustained release, and improved antigen-presenting cell (APC) activation. Notably, they effectively deliver various neoantigen vaccine formulations (DC cell-based, synthetic long peptide (SLP)-based or DNA/mRNA-based) to APCs or T cells, thereby activating both CD4+ T and CD8+ T cells. This ultimately induces a specific anti-tumor immune response. This review focuses on recent innovations in neoantigen vaccine delivery vectors. We aim to identify optimal design parameters for vectors tailored to different neoantigen vaccine types, with an emphasis on enhancing the tumor microenvironment and stimulating the production of neoantigen-specific cytotoxic T cells. By maximizing the potential of these delivery systems, we aim to accelerate the clinical translation of neoantigen nanovaccines and advance cancer immunotherapy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
Strange发布了新的文献求助10
1秒前
搜集达人应助LiliHe采纳,获得10
1秒前
1秒前
2秒前
昏睡的蟠桃应助于小文采纳,获得50
3秒前
3秒前
赘婿应助大姨妈采纳,获得30
4秒前
过时的不评完成签到,获得积分10
5秒前
大气沛容发布了新的文献求助10
5秒前
CipherSage应助bq28采纳,获得10
6秒前
hyw完成签到,获得积分10
6秒前
Lucas应助Flore采纳,获得10
6秒前
6秒前
Ava应助韩凡采纳,获得10
7秒前
幸福的勒发布了新的文献求助10
7秒前
7秒前
做实验的猹完成签到,获得积分10
8秒前
8秒前
耶耶耶发布了新的文献求助10
8秒前
8秒前
猪猪hero发布了新的文献求助10
9秒前
一帆风顺发布了新的文献求助10
9秒前
11秒前
陈晓舟完成签到,获得积分10
11秒前
开水发布了新的文献求助10
11秒前
Yoke完成签到,获得积分10
12秒前
13秒前
科研通AI5应助幸福的勒采纳,获得10
14秒前
华仔应助大西瓜采纳,获得10
15秒前
15秒前
隐形曼青应助科研通管家采纳,获得10
15秒前
赘婿应助科研通管家采纳,获得10
16秒前
16秒前
orixero应助科研通管家采纳,获得10
16秒前
无花果应助科研通管家采纳,获得10
16秒前
残幻应助科研通管家采纳,获得10
16秒前
Accept应助科研通管家采纳,获得10
16秒前
斯文败类应助科研通管家采纳,获得10
16秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3838272
求助须知:如何正确求助?哪些是违规求助? 3380566
关于积分的说明 10514922
捐赠科研通 3100184
什么是DOI,文献DOI怎么找? 1707357
邀请新用户注册赠送积分活动 821678
科研通“疑难数据库(出版商)”最低求助积分说明 772890