新的贝叶斯自适应早期设计加速CAR - t细胞疗法的发展

Ying Yuan, Kai Chen
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引用次数: 0

摘要

嵌合抗原受体(CAR) t细胞疗法已经彻底改变了癌症治疗,特别是对造血恶性肿瘤。CAR - t细胞疗法是一种活体药物,与其他疗法有着根本不同的特点。例如,CAR - t细胞治疗效果可能不会随着剂量的增加而增加,并且在治疗剂量范围内很少观察到剂量限制性毒性。因此,传统的试验设计模式不适合CAR - t细胞疗法的发展。在这里,我们回顾并介绍了I-II期试验设计范式,以在毒性和疗效的基础上优化CAR - t细胞治疗的剂量。我们描述了几种新的贝叶斯模型辅助设计,包括BOIN12和U-BOIN,它们易于实现,并且在确定CAR - t细胞治疗的最佳生物剂量方面具有出色的操作特性。提供了实例和软件来促进这些新设计的使用,以加速CAR - t细胞疗法的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel bayesian adaptive early phase designs to accelerate the development of CAR T-cell therapy
Chimeric antigen receptor (CAR) T-cell therapy has revolutionized cancer treatment, particularly for hematopoietic malignancies. CAR T-cell therapy is a living drug with fundamentally different characteristics from those of other therapies. For example, CAR T-cell therapy efficacy may not increase with dose, and dose-limiting toxicity is rarely observed in the therapeutic dose range. Consequently, the conventional trial design paradigm is not suitable for the development of CAR T-cell therapy. Here, we review and introduce the phase I-II trial design paradigm to optimize the dose of CAR T-cell therapy on the basis of both toxicity and efficacy. We describe several novel Bayesian model-assisted designs, including BOIN12 and U-BOIN, which are simple to implement and have excellent operating characteristics for identifying the optimal biological dose for CAR T-cell therapy. Examples and software are provided to facilitate the use of these novel designs to accelerate the development of CAR T-cell therapy.
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