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从小鼠预测嵌合抗原受体 T(CAR-T)细胞的首次人体剂量。

Prediction of First-in-Human Dose of Chimeric Antigen Receptor-T (CAR-T) Cells from Mice.

机构信息

Mahmood Clinical Pharmacology Consultancy, LLC, 1709, Piccard DR, Rockville, MD, 20850, USA.

出版信息

Eur J Drug Metab Pharmacokinet. 2024 Nov;49(6):715-722. doi: 10.1007/s13318-024-00918-z. Epub 2024 Sep 20.

Abstract

UNLABELLED

BACKGROUND AND OBJECTIVE: Currently, there is no available method for the prediction of first-in-human (FIH) dose for chimeric antigen receptor-T (CAR-T) cells. The objective of this work was to predict the FIH dose of CAR-T cells from different doses given to mice.

METHODS

In this study, six scaling methods were evaluated for the prediction of FIH dose for CAR-T cells. The methods were body weight-based fixed exponents such as 1.0 and 0.75, human equivalent dose (HED) using exponents 0.33, two modified HED methods such as using total animal dose (in place of per kg basis) and body surface area in place of body weight using total animal dose with exponent 0.33 and a physiological factor derived from physiological parameters. The FIH doses of six CAR-T cells were predicted in this study. The predicted human doses were compared with the recommended human dose by the US-FDA for four CAR-T cell products, and the literature data were used for the remaining two CAR-T cells.

RESULTS

The results indicated that the two modified HED methods and physiological factor are the best and reliable methods for the prediction of FIH dose for CAR-T cells.

CONCLUSIONS

The proposed methods are simple and accurate in their predictive power and can be used on a spreadsheet.

摘要

背景与目的

目前,尚无预测嵌合抗原受体 T 细胞(CAR-T 细胞)首次人体(FIH)剂量的方法。本研究旨在从给予小鼠的不同剂量中预测 CAR-T 细胞的 FIH 剂量。

方法

在这项研究中,评估了六种缩放方法来预测 CAR-T 细胞的 FIH 剂量。这些方法是基于体重的固定指数,如 1.0 和 0.75,使用指数 0.33 的人体等效剂量(HED),两种修改后的 HED 方法,例如使用总动物剂量(代替每公斤基础)和使用总动物剂量的体表面积代替体重,使用指数 0.33 和源自生理参数的生理因子。在这项研究中预测了六种 CAR-T 细胞的 FIH 剂量。将预测的人体剂量与美国 FDA 推荐的四种 CAR-T 细胞产品的人体剂量进行比较,并使用文献数据对另外两种 CAR-T 细胞进行比较。

结果

结果表明,两种修改后的 HED 方法和生理因子是预测 CAR-T 细胞 FIH 剂量的最佳和可靠方法。

结论

所提出的方法在预测能力上简单准确,可以在电子表格上使用。

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