Preclinical studies show that Co-STARs combine the advantages of chimeric antigen and T cell receptors for the treatment of tumors with low antigen densities
Brian J. Mog, Nikita Marcou, Sarah R. DiNapoli, Alexander H. Pearlman, Tushar D. Nichakawade, Michael S. Hwang, Jacqueline Douglass, Emily Han-Chung Hsiue, Stephanie Glavaris, Katharine M. Wright, Maximilian F. Konig, Suman Paul, Nicolas Wyhs, Jiaxin Ge, Michelle S. Miller, P.Aitana Azurmendi, Evangeline Watson, Drew M. Pardoll, Sandra B. Gabelli, Chetan Bettegowda, Nickolas Papadopoulos, Kenneth W. Kinzler, Bert Vogelstein, Shibin Zhou
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引用次数: 0
Abstract
Two types of engineered T cells have been successfully used to treat patients with cancer, one with an antigen recognition domain derived from antibodies [chimeric antigen receptors (CARs)] and the other derived from T cell receptors (TCRs). CARs use high-affinity antigen–binding domains and costimulatory domains to induce T cell activation but can only react against target cells with relatively high amounts of antigen. TCRs have a much lower affinity for their antigens but can react against target cells displaying only a few antigen molecules. Here, we describe a new type of receptor, called a Co-STAR (for costimulatory synthetic TCR and antigen receptor), that combines aspects of both CARs and TCRs. In Co-STARs, the antigen-recognizing components of TCRs are replaced by high-affinity antibody fragments, and costimulation is provided by two modules that drive NF-κB signaling (MyD88 and CD40). Using a TCR-mimic antibody fragment that targets a recurrent p53 neoantigen presented in a common human leukocyte antigen (HLA) allele, we demonstrate that T cells equipped with Co-STARs can kill cancer cells bearing low densities of antigen better than T cells engineered with conventional CARs and patient-derived TCRs in vitro. In mouse models, we show that Co-STARs mediate more robust T cell expansion and more durable tumor regressions than TCRs similarly modified with MyD88 and CD40 costimulation. Our data suggest that Co-STARs may have utility for other peptide-HLA antigens in cancer and other targets where antigen density may limit the efficacy of engineered T cells.
临床前研究表明,Co-STAR 结合了嵌合抗原和 T 细胞受体的优势,可用于治疗抗原密度较低的肿瘤。
有两种工程 T 细胞已被成功用于治疗癌症患者,一种具有来自抗体的抗原识别结构域[嵌合抗原受体(CAR)],另一种来自 T 细胞受体(TCR)。嵌合抗原受体使用高亲和力的抗原结合结构域和成本刺激结构域来诱导 T 细胞活化,但只能对抗原量相对较高的靶细胞产生反应。TCR对其抗原的亲和力要低得多,但只能对显示少量抗原分子的靶细胞产生反应。在这里,我们描述了一种新型受体,称为 Co-STAR(成本刺激合成 TCR 和抗原受体),它结合了 CAR 和 TCR 的各个方面。在Co-STAR中,TCR的抗原识别成分被高亲和性抗体片段取代,而成本刺激则由两个驱动NF-κB信号的模块(MyD88和CD40)提供。我们使用了一种针对以常见人类白细胞抗原(HLA)等位基因呈现的复发性 p53 新抗原的 TCR 模拟抗体片段,证明了配备 Co-STAR 的 T 细胞在体外杀死携带低密度抗原的癌细胞的能力优于使用传统 CAR 和患者来源 TCR 的 T 细胞。在小鼠模型中,我们发现 Co-STAR 与经过 MyD88 和 CD40 成本刺激类似修饰的 TCR 相比,能介导更强大的 T 细胞扩增和更持久的肿瘤消退。我们的数据表明,Co-STARs 可能适用于癌症中的其他多肽-HLA 抗原,以及抗原密度可能限制工程 T 细胞疗效的其他靶点。
期刊介绍:
Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research.
The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases.
The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine.
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