Self‐Generating Gold Nanocatalysts in Autologous Tumor Cells for Targeted Catalytic Immunotherapy

纳米材料基催化剂 免疫疗法 催化作用 癌症研究 化学 医学 免疫学 免疫系统 生物化学
作者
Fei Zeng,Yongchun Pan,Qianglan Lu,Xiaowei Luan,Shurong Qin,Yuta Liu,Zhiyong Liu,Jingjing Yang,Bangshun He,Yujun Song
出处
期刊:Advanced Healthcare Materials [Wiley]
卷期号:13 (14): e2303683-e2303683 被引量:3
标识
DOI:10.1002/adhm.202303683
摘要

Abstract Employing tumor whole cells for tumor immunotherapy is a promising tumor therapy proposed in the early stage, but its therapeutic efficacy is weakened by the methods of eliminating pathogenicity and the mass ratio of the effective antigen carried by itself. Here, by adding gold ion to live cancer cells in the microfluidic droplets, this work obtains dead tumor whole cells with NIR‐controlled catalytic ability whose pathogenicity is removed while plenary tumor antigens, major structure, and homing ability are reserved. The engineered tumor cell (Cell‐Au) with the addition of prodrug provides 1 O 2 in an O 2 ‐free Russell mechanism, which serves better in a hypoxic tumor microenvironment. This tumor whole‐cell catalytic vaccine (TWCV) promotes the activation of dendritic cells and the transformation of macrophages into tumor suppressor phenotype. In 4T1 tumor‐bearing mice, the Cell‐Au‐based vaccine supports the polarization of cytotoxicity T cells, resulting in tumor eradication and long‐term animal survival. Compared with antigen vaccines or adoptive cell therapy which takes months to obtain, this TWCV can be prepared in just a few days with satisfactory immune activation and tumor therapeutic efficacy, which provides an alternative way for the preparation of personalized tumor vaccines across tumor types and gives immunotherapy a new path.
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
刚刚
壮观可仁完成签到,获得积分10
1秒前
1秒前
1秒前
2puerile发布了新的文献求助10
2秒前
Owen应助灯火入眉弯采纳,获得30
3秒前
小胡完成签到,获得积分10
3秒前
酶酶酶发布了新的文献求助10
3秒前
落子发布了新的文献求助10
4秒前
4秒前
5秒前
秋枫扬完成签到 ,获得积分10
6秒前
6秒前
Ff发布了新的文献求助10
8秒前
李健应助田一采纳,获得10
9秒前
小胡发布了新的文献求助10
9秒前
秋枫扬关注了科研通微信公众号
10秒前
11秒前
Yoh1220完成签到,获得积分10
11秒前
11秒前
12秒前
思源应助清脆黑猫采纳,获得10
14秒前
16秒前
Rain发布了新的文献求助10
16秒前
初景发布了新的文献求助10
17秒前
李健的小迷弟应助小黄采纳,获得10
18秒前
12发布了新的文献求助10
19秒前
酷波er应助lai采纳,获得10
19秒前
20秒前
王海钰完成签到,获得积分10
21秒前
21秒前
缥缈听白发布了新的文献求助10
21秒前
Lucas应助科研通管家采纳,获得10
22秒前
22秒前
顾矜应助科研通管家采纳,获得10
22秒前
22秒前
赘婿应助科研通管家采纳,获得10
22秒前
403333应助科研通管家采纳,获得10
22秒前
CodeCraft应助科研通管家采纳,获得10
22秒前
Jasper应助科研通管家采纳,获得10
22秒前
高分求助中
(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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443897
求助须知:如何正确求助?哪些是违规求助? 8257681
关于积分的说明 17588349
捐赠科研通 5502643
什么是DOI,文献DOI怎么找? 2901130
邀请新用户注册赠送积分活动 1878137
关于科研通互助平台的介绍 1717548