Cell surface GRP78-directed CAR-T cells are effective at treating human pancreatic cancer in preclinical models

吉西他滨 胰腺癌 癌症研究 细胞毒性T细胞 嵌合抗原受体 癌细胞 癌症 医学 体内 体外 生物 内科学 免疫疗法 生物化学 生物技术
作者
Yuncang Yuan,Jiawei Fan,Dandan Liang,Shijie Wang,Xu Luo,Yongjie Zhu,Nan Liu,Tingxiu Xiang,Xudong Zhao
出处
期刊:Translational Oncology [Elsevier BV]
卷期号:39: 101803-101803 被引量:13
标识
DOI:10.1016/j.tranon.2023.101803
摘要

Pancreatic cancer is a highly lethal solid malignancy with limited treatment options. Chimeric antigen receptor T (CAR-T) cell therapy has been successfully applied to treat hematological malignancies, but faces many challenges in solid tumors. One major challenge is the shortage of tumor-selective targets. Cell surface GRP78 (csGRP78) is highly expressed on various solid cancer cells including pancreatic cancer, but not normal cells, providing a potential target for CAR-T cell therapy in pancreatic cancer. Here, we demonstrated that csGRP78-directed CAR-T (GRP78-CAR-T) cells effectively killed the human pancreatic cancer cell lines Bxpc-3-luc, Aspc-1-luc and MIA PaCa-2-luc, and pancreatic cancer stem-like cells derived from Aspc-1-luc cells and MIA PaCa-2-luc cells in vitro by a luciferase-based cytotoxicity assay. Importantly, we showed that GRP78-CAR-T cells efficiently homed to and infiltrated Aspc-1-luc cell-derived xenografts and significantly inhibited pancreatic tumor growth in vivo by performing mouse xenograft experiments. Interestingly, we found that gemcitabine treatment increased csGRP78 expression in gemcitabine-resistant MIA PaCa-2-luc cells, and the coapplication of gemcitabine with GRP78-CAR-T cells led to a robust cytotoxic effect on these cells in vitro. Taken together, our study demonstrates that csGRP78-directed CAR-T cells, alone or in combination with chemotherapy, selectively and efficiently target csGRP78-expressing pancreatic cancer cells to suppress pancreatic tumor growth.
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
赘婿应助科研通管家采纳,获得10
1秒前
Akim应助科研通管家采纳,获得10
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
SYLH应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
肥猫留下了新的社区评论
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
2秒前
livr发布了新的文献求助10
2秒前
张正发布了新的文献求助10
4秒前
科研通AI5应助曾经的问晴采纳,获得10
4秒前
yogurt完成签到,获得积分20
6秒前
ever完成签到,获得积分10
7秒前
7秒前
Drink完成签到,获得积分10
7秒前
魔幻傲霜发布了新的文献求助10
7秒前
木木发布了新的文献求助10
9秒前
lzk完成签到,获得积分10
10秒前
10秒前
华仔应助aaron采纳,获得10
11秒前
Akim应助智慧无穷采纳,获得10
11秒前
简单不悔完成签到,获得积分20
11秒前
魔幻傲霜完成签到,获得积分10
12秒前
青藤发布了新的文献求助30
13秒前
livr完成签到,获得积分20
15秒前
16秒前
Michaelfall完成签到,获得积分10
16秒前
简单不悔发布了新的文献求助30
17秒前
SciGPT应助景雪航采纳,获得10
18秒前
Xz发布了新的文献求助10
18秒前
我是老大应助杏树采纳,获得10
19秒前
hj发布了新的文献求助30
21秒前
怡然可乐发布了新的文献求助10
22秒前
冯微微完成签到,获得积分10
26秒前
852应助log采纳,获得10
28秒前
星辰大海应助livr采纳,获得10
29秒前
29秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
Interpretability and Explainability in AI Using Python 200
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 3835028
求助须知:如何正确求助?哪些是违规求助? 3377526
关于积分的说明 10498888
捐赠科研通 3097008
什么是DOI,文献DOI怎么找? 1705417
邀请新用户注册赠送积分活动 820558
科研通“疑难数据库(出版商)”最低求助积分说明 772123