胶质瘤
抗原
嵌合抗原受体
免疫系统
免疫疗法
癌症研究
体内
表皮生长因子受体
肿瘤抗原
免疫学
医学
免疫
脑瘤
生物
受体
病理
内科学
生物技术
作者
John H. Sampson,Bryan D. Choi,Luis Sánchez-Pérez,Carter M. Suryadevara,David J. Snyder,Catherine Flores,Robert J. Schmittling,Smita K. Nair,Elizabeth A. Reap,Pamela K. Norberg,James E. Herndon,Chien-Tsun Kuan,Richard A. Morgan,Steven A. Rosenberg,Laura A. Johnson
标识
DOI:10.1158/1078-0432.ccr-13-0709
摘要
Chimeric antigen receptor (CAR) transduced T cells represent a promising immune therapy that has been shown to successfully treat cancers in mice and humans. However, CARs targeting antigens expressed in both tumors and normal tissues have led to significant toxicity. Preclinical studies have been limited by the use of xenograft models that do not adequately recapitulate the immune system of a clinically relevant host. A constitutively activated mutant of the naturally occurring epidermal growth factor receptor (EGFRvIII) is antigenically identical in both human and mouse glioma, but is also completely absent from any normal tissues.We developed a third-generation, EGFRvIII-specific murine CAR (mCAR), and performed tests to determine its efficacy in a fully immunocompetent mouse model of malignant glioma.At elevated doses, infusion with EGFRvIII mCAR T cells led to cures in all mice with brain tumors. In addition, antitumor efficacy was found to be dependent on lymphodepletive host conditioning. Selective blockade with EGFRvIII soluble peptide significantly abrogated the activity of EGFRvIII mCAR T cells in vitro and in vivo, and may offer a novel strategy to enhance the safety profile for CAR-based therapy. Finally, mCAR-treated, cured mice were resistant to rechallenge with EGFRvIII(NEG) tumors, suggesting generation of host immunity against additional tumor antigens.All together, these data support that third-generation, EGFRvIII-specific mCARs are effective against gliomas in the brain and highlight the importance of syngeneic, immunocompetent models in the preclinical evaluation of tumor immunotherapies.
科研通智能强力驱动
Strongly Powered by AbleSci AI