Rational Design and Organoid‐Based Evaluation of a Cocktail CAR‐γδ T Cell Therapy for Heterogeneous Glioblastoma

嵌合抗原受体 类有机物 抗原 癌症研究 免疫疗法 细胞疗法 医学 免疫学 干细胞 生物 免疫系统 细胞生物学
作者
Gui‐Dong Zhu,Zhongzheng Sun,Yingchao Liu,Jiang Liu,Linpei Guo,Guojing Pei,Ying Jiang,Baowang Miao,Zhen Li,Ping Zhang,Dongqi Tang,Wen Zhang,Chengwei Wang
出处
期刊:Advanced Science [Wiley]
卷期号:12 (19): e2501772-e2501772 被引量:6
标识
DOI:10.1002/advs.202501772
摘要

Various challenges, including tumor heterogeneity and inadequate T cell infiltration, impede the progress of chimeric antigen receptor T cell (CAR-T) therapy for glioblastoma (GBM). To address these obstacles, a multiple step strategy is designed. Initially, literature review and bioinformatics analysis to screen a set of antigens that are heterogeneously expressed in GBM, which are designated as the target-bank, are leveraged. Then, according to the multiplex immunohistochemistry results of each patient's tumor sample, a personalized panel of antigens based on the principle that most cancer cells in tumor tissues can be covered from the target-bank is selected. To target these antigens, Vδ1 T cells are chosen as CAR vehicles because of its high tissue infiltration and off-the-shelf properties, and an optimized protocol for engineering CAR-Vδ1 T cells with high purity and cytotoxicity, low exhaustion, and cytokine release is developed. Next, the specific panel of cocktail CAR-Vδ1 T cells in the GBM organoids that are directly derived from the same patient's tumor is tested. The term "prof" cocktail therapy is coined to describe the approach using precise and rational combination of tumor antigens, organoid-based evaluation, and fitness of Vδ1 T cells. It may accelerate development of effective CAR-T drugs for heterogeneous solid tumors.
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
寒請关注了科研通微信公众号
刚刚
迅速的香露完成签到,获得积分10
1秒前
lll发布了新的文献求助10
1秒前
1秒前
1秒前
Jasper应助阿蕊采纳,获得10
1秒前
13508104971完成签到,获得积分10
1秒前
77发布了新的文献求助10
1秒前
柚子发布了新的文献求助10
2秒前
现代海完成签到,获得积分10
2秒前
3秒前
3秒前
健壮诗桃发布了新的文献求助10
4秒前
4秒前
咔咔莉完成签到 ,获得积分10
4秒前
甜甜圈发布了新的文献求助10
4秒前
4秒前
充电宝应助杨咩咩采纳,获得10
5秒前
星辰大海应助liutao采纳,获得30
5秒前
研友_85y6M8完成签到,获得积分10
5秒前
隐形晓啸发布了新的文献求助10
5秒前
5秒前
充电宝应助Polylactic采纳,获得10
5秒前
6秒前
6秒前
绞股蓝发布了新的文献求助10
6秒前
大模型应助落后的板凳采纳,获得10
6秒前
MrCoolWu完成签到,获得积分10
6秒前
6秒前
精明的麦片完成签到 ,获得积分10
6秒前
深情访天完成签到,获得积分20
6秒前
lu完成签到,获得积分10
7秒前
xiaoman完成签到,获得积分10
7秒前
toutou完成签到,获得积分10
7秒前
黄奥龙发布了新的文献求助10
7秒前
科研通AI6.2应助姚某人采纳,获得10
7秒前
张雯思完成签到,获得积分10
8秒前
8秒前
索大学术发布了新的文献求助10
9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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7766854
求助须知:如何正确求助?哪些是违规求助? 9310725
关于积分的说明 20318962
捐赠科研通 7351983
什么是DOI,文献DOI怎么找? 3315202
关于科研通互助平台的介绍 2464635
邀请新用户注册赠送积分活动 2329840