An optimized bicistronic chimeric antigen receptor against GPC2 or CD276 overcomes heterogeneous expression in neuroblastoma

嵌合抗原受体 抗原 癌症研究 细胞毒性 神经母细胞瘤 转录组 细胞 生物 分子生物学 免疫学
作者
MEIJIE TIAN,Adam T. Cheuk,Jun S. Wei,Abdalla Abdelmaksoud,Hsien-Chao Chou,David Milewski,Michael C. Kelly,Young K. Song,Christopher M. Dower,Nan Li,Haiying Qin,Yong Kim,Jerry T. Wu,Xinyu Wen,Mehdi Benzaoui,Katherine E. Masih,Xiaolin Wu,Zhongmei Zhang,Sherif Badr,Naomi Taylor,Brad St. Croix,Mitchell Ho,Javed Khan
出处
期刊:Journal of Clinical Investigation [American Society for Clinical Investigation]
标识
DOI:10.1172/jci155621
摘要

Chimeric antigen receptor (CAR) T-cell therapies targeting single antigens perform poorly in clinical trials for solid tumors due to heterogenous expression of tumor-associated antigens (TAAs), limited T-cell persistence and exhaustion. Here we aimed to identify optimal CARs against Glypican-2 (GPC2) or CD276 (B7-H3), which were highly but heterogeneously expressed in neuroblastoma (NB), a lethal extracranial solid tumor of childhood. First, we examined CAR T-cell expansion in the presence of target by digital droplet PCR. Next, using Pooled Competitive Optimization of CAR by CITE-seq (P-COCC), we simultaneously analyzed protein and transcriptome expression of CAR T-cells to identify high activity CARs. Finally, we performed cytotoxicity assays to identify the most effective CAR against each target and combined them into a bicistronic "OR" CAR (BiCisCAR). BiCisCAR T-cells effectively eliminated tumor cells expressing GPC2 or CD276. Furthermore, the BiCisCAR demonstrated prolonged persistence and resistance to exhaustion comparing with single antigen targeting CARs. This study illustrated that targeting multiple TAAs with BiCisCARs may overcome heterogenous expression of target antigen in solid tumors, and identified a potent clinically relevant CAR against NB. Moreover, our multimodal approach integrating competitive expansion, P-COCC, and cytotoxicity assays is an effective strategy to identify potent CARs from a pool of candidates.

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