Engineered Probiotic‐Based Personalized Cancer Vaccine Potentiates Antitumor Immunity through Initiating Trained Immunity

免疫 获得性免疫系统 免疫系统 免疫学 抗原 癌症免疫疗法 免疫疗法 先天免疫系统 医学 肿瘤微环境 癌症 癌症研究 生物 内科学
作者
Zhaoxia Chen,Tuying Yong,Zhaohan Wei,Xiaoqiong Zhang,Xin Li,Jiaqi Qin,Jianye Li,Jun Hu,Xiangliang Yang,Lu Gan
出处
期刊:Advanced Science [Wiley]
卷期号:11 (3): e2305081-e2305081 被引量:45
标识
DOI:10.1002/advs.202305081
摘要

Cancer vaccines hold great potential for clinical cancer treatment by eliciting T cell-mediated immunity. However, the limited numbers of antigen-presenting cells (APCs) at the injection sites, the insufficient tumor antigen phagocytosis by APCs, and the presence of a strong tumor immunosuppressive microenvironment severely compromise the efficacy of cancer vaccines. Trained innate immunity may promote tumor antigen-specific adaptive immunity. Here, a personalized cancer vaccine is developed by engineering the inactivated probiotic Escherichia coli Nissle 1917 to load tumor antigens and β-glucan, a trained immunity inducer. After subcutaneous injection, the cancer vaccine delivering model antigen OVA (BG/OVA@EcN) is highly accumulated and phagocytosed by macrophages at the injection sites to induce trained immunity. The trained macrophages may recruit dendritic cells (DCs) to facilitate BG/OVA@EcN phagocytosis and the subsequent DC maturation and T cell activation. In addition, BG/OVA@EcN remarkably enhances the circulating trained monocytes/macrophages, promoting differentiation into M1-like macrophages in tumor tissues. BG/OVA@EcN generates strong prophylactic and therapeutic efficacy to inhibit tumor growth by inducing potent adaptive antitumor immunity and long-term immune memory. Importantly, the cancer vaccine delivering autologous tumor antigens efficiently prevents postoperative tumor recurrence. This platform offers a facile translatable strategy to efficiently integrate trained immunity and adaptive immunity for personalized 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
MR_芝欧完成签到,获得积分10
刚刚
李易臻完成签到,获得积分10
刚刚
zhaolihua发布了新的文献求助10
刚刚
幸福的鑫鹏完成签到 ,获得积分10
1秒前
happynewyear完成签到,获得积分10
1秒前
1秒前
满意的伊完成签到,获得积分10
1秒前
wkc完成签到,获得积分10
1秒前
woshiwuziq发布了新的文献求助20
1秒前
儒雅的凝旋完成签到 ,获得积分10
2秒前
畔畔应助一人做事一人汤采纳,获得30
2秒前
silencemch完成签到,获得积分10
2秒前
JOE完成签到,获得积分10
3秒前
o椰发布了新的文献求助10
3秒前
Akim应助WJ采纳,获得10
3秒前
大模型应助Mrshi采纳,获得10
3秒前
wz发布了新的文献求助10
3秒前
名字是乱码完成签到,获得积分20
4秒前
zzuzll完成签到,获得积分10
4秒前
小黄人发布了新的文献求助30
4秒前
小二郎应助青柚采纳,获得10
4秒前
456qwe完成签到,获得积分10
5秒前
城南完成签到,获得积分10
7秒前
7秒前
无情蜻蜓完成签到,获得积分20
7秒前
罗丹丹完成签到,获得积分10
7秒前
开放灭绝发布了新的文献求助30
7秒前
锈了的xuebxuebi雪碧完成签到,获得积分10
7秒前
屹男完成签到,获得积分10
7秒前
liuhll发布了新的文献求助10
7秒前
7秒前
8秒前
科研通AI6.4应助111采纳,获得10
8秒前
luyu完成签到,获得积分10
8秒前
好香芋泥煎意面完成签到 ,获得积分10
8秒前
Copyright应助BrillSpikes采纳,获得10
8秒前
南浔完成签到,获得积分10
8秒前
洁净的酬海完成签到 ,获得积分10
9秒前
9秒前
xzy998发布了新的文献求助10
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7291063
求助须知:如何正确求助?哪些是违规求助? 8910049
关于积分的说明 18858917
捐赠科研通 6958461
什么是DOI,文献DOI怎么找? 3209242
关于科研通互助平台的介绍 2378998
邀请新用户注册赠送积分活动 2184974