Edo Kapetanovic, Cédric R. Weber, Marine Bruand, Daniel Pöschl, Jakub Kucharczyk, Elisabeth Hirth, Claudius Dietsche, Riyaz Khan, Bastian Wagner, Olivier Belli, Rodrigo Vazquez-Lombardi, Rocío Castellanos- Rueda, Raphael B. Di Roberto, Kevin Kalinka, Luca Raess, Kevin Ly, Shivam Rai, Petra S. Dittrich, Randall J. Platt, Elisa Oricchio, Sai T. Reddy
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引用次数: 0
Abstract
Bispecific antibodies (biAbs) used in cancer immunotherapies rely on functional autologous T cells, which are often damaged and depleted in patients with haematological malignancies and in other immunocompromised patients. The adoptive transfer of allogeneic T cells from healthy donors can enhance the efficacy of biAbs, but donor T cells binding to host-cell antigens cause an unwanted alloreactive response. Here we show that allogeneic T cells engineered with a T-cell receptor that does not convert antigen binding into cluster of differentiation 3 (CD3) signalling decouples antigen-mediated T-cell activation from T-cell cytotoxicity while preserving the surface expression of the T-cell-receptor–CD3 signalling complex as well as biAb-mediated CD3 signalling and T-cell activation. In mice with CD19+ tumour xenografts, treatment with the engineered human cells in combination with blinatumomab (a clinically approved biAb) led to the recognition and clearance of tumour cells in the absence of detectable alloreactivity. Our findings support the development of immunotherapies combining biAbs and ‘off-the-shelf’ allogeneic T cells.
癌症免疫疗法中使用的双特异性抗体(biAbs)依赖于功能性自体 T 细胞,而血液恶性肿瘤患者和其他免疫功能低下的患者的自体 T 细胞往往会受损和耗竭。采用健康供体的异体 T 细胞可以提高生物抗体的疗效,但供体 T 细胞与宿主细胞抗原结合会引起不必要的异体反应。在这里,我们展示了用T细胞受体设计的异体T细胞,这种T细胞受体不会将抗原结合转化为分化3簇(CD3)信号,从而使抗原介导的T细胞活化与T细胞细胞毒性脱钩,同时保留了T细胞受体-CD3信号复合物的表面表达以及生物抗体介导的CD3信号和T细胞活化。在患有 CD19+ 肿瘤异种移植的小鼠身上,用工程化人体细胞与 blinatumomab(一种临床批准的生物抗原)联合治疗,可以在检测不到异体反应的情况下识别和清除肿瘤细胞。我们的研究结果支持将生物抗体与 "现成的 "异体T细胞结合起来开发免疫疗法。
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.