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Can I read Combined antitumor effects of anti-EGFR variant III CAR-T cell therapy and PD-1 checkpoint blockade on glioblastoma in mouse model on EtoBox?

Combined antitumor effects of anti-EGFR variant III CAR-T cell therapy and PD-1 checkpoint blockade on glioblastoma in mouse model by Yujie Song; Qingtian Liu; Tong Zuo; Guoyan Wei; Shunchang Jiao is a Immunology and Microbiology article available to read on EtoBox.

What is Combined antitumor effects of anti-EGFR variant III CAR-T cell therapy and PD-1 checkpoint blockade on glioblastoma in mouse model about?

Glioblastoma is one of the deadliest cancers. Chimeric antigen receptor (CAR)-T cell therapy against solid tumors has been far from satisfactory largely due to the immunosuppressive tumor microenvironment, such as PD-1 mediated T cell exhaustion. In the present study, we investigated the combined antitumor effects of anti-EGFR variant III CAR-T cell therapy and PD-1 checkpoint blockade on glioblastoma in mouse model. The results demonstrated that CAR-T cells with PD-1 blockade exhibit higher killing efficiency in vitro. Additionally, CAR-T cells with PD-1 blockade showed more effective and persistent therapeutic effects on glioblastoma and led to significantly increased number of tumor infiltrating lymphocytes (TILs) in the mouse model. In conclusion, PD-1 checkpoint blockade significantly enhanced the antitumor activity of anti-human EGFRvIII CAR-T cells by overcoming TILs exhaustion. The outcomes of the present study provide a novel strategy for improving the potency of CAR-T cell therapies in solid tumors.

Who reads Combined antitumor effects of anti-EGFR variant III CAR-T cell therapy and PD-1 checkpoint blockade on glioblastoma in mouse model?

It is typically read by researchers, students, and practitioners in Immunology and Microbiology.

Author
Yujie Song; Qingtian Liu; Tong Zuo; Guoyan Wei; Shunchang Jiao
Publisher
Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0008-8749)
Published
2020
Language
EN
Field
Immunology and Microbiology (Life Sciences)

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