Construction and Expression Analysis of CAR Molecules Co-expressing NK Cell Engager

作者
Jin Liu Jin Liu
标识
DOI:10.35629/076x-12080110
摘要

Cancer immunotherapy has significantly advanced in recent years, with Chimeric Antigen Receptor T-cell therapy (CAR-T) therapy at the forefront. Although multiple CAR-T therapies targeting hematological malignancies have received regulatory approval, the formation of CAR-T-resistant tumor cell populations due to tumor antigen downregulation remains a critical factor affecting the success of immunotherapy. Additionally, CAR-T therapy has shown limited efficacy in solid tumors clinical trials. Combining therapeutic strategies to enhance the effectiveness and safety of CAR-T cell therapies is an inevitable trend for future development. As a branch of immune cell-targeted therapy, cell engagers link two different cell types via a tumor-associated antigen (TAA)- targeting component and an effector cell recognition component. These engagers selectively attack and destroy targeted tumor cells, demonstrating immense potential and broad clinical prospects. This study constructed a molecular framework for co-expressing Natural Killer (NK) cell engagers with CAR molecules and validated their expression. This approach enables adoptive cells to target BCMA+ tumors while secreting cell engagers, conferring NK cells with the ability to target GPRC5D+ tumor cells through bispecific antibodies. Furthermore, the bispecific antibody crosslinker IL-15 promotes NK cell proliferation and survival, opening new avenues for tumor immunotherapy.

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
Liou23发布了新的文献求助10
刚刚
hh发布了新的文献求助10
刚刚
刚刚
1秒前
wu完成签到,获得积分10
1秒前
隐形曼青的应助被勤恳问薇采纳,获得20
2秒前
美满元风发布了新的文献求助10
2秒前
xz的应助被xiaohu采纳,获得10
2秒前
go完成签到,获得积分10
2秒前
wxl发布了新的文献求助10
2秒前
科研通AI2S的应助被ggb采纳,获得10
3秒前
3秒前
lyyyyy完成签到,获得积分10
3秒前
3秒前
ZY完成签到,获得积分10
3秒前
星星又累完成签到,获得积分10
3秒前
4秒前
高大星月发布了新的文献求助10
5秒前
大力的怜梦完成签到,获得积分10
5秒前
李健的粉丝团团长的应助被cc采纳,获得10
5秒前
5秒前
5秒前
5秒前
5秒前
cxcv完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
6秒前
Ceci发布了新的文献求助10
6秒前
深情安青的应助被甜美的友灵采纳,获得10
6秒前
艺语完成签到,获得积分10
6秒前
CipherSage的应助被tianxiao采纳,获得10
6秒前
6秒前
7秒前
W四元完成签到,获得积分10
7秒前
顾矜的应助被满意易蓉采纳,获得10
7秒前
8秒前
青青完成签到,获得积分20
8秒前
lzxlzxlzx发布了新的文献求助10
8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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Stell & Maran's Head and Neck Surgery and Oncology 500
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 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8028678
求助须知:如何正确求助?哪些是违规求助? 9469078
关于积分的说明 21235106
捐赠科研通 7599130
什么是DOI,文献DOI怎么找? 3388215
关于科研通互助平台的介绍 2520581
邀请新用户注册赠送积分活动 2424731