Pharmacokinetic models for first-in-human dose selection of immune-activating products in oncology

药代动力学 选择(遗传算法) 免疫系统 肿瘤科 药理学 化学 医学 免疫学 计算机科学 机器学习
作者
Haleh Saber,Matthew D. Thompson,John K. Leighton
出处
期刊:Regulatory Toxicology and Pharmacology [Elsevier]
卷期号:149: 105616-105616 被引量:2
标识
DOI:10.1016/j.yrtph.2024.105616
摘要

Pharmacokinetic (PK) models are increasingly submitted to the FDA to support first-in-human (FIH) dose selection of immune-oncology products. To examine whether a simple PK modeling (SPM) using clearance for scaling was acceptable for dose estimation, FIH(SPM) doses were computed and compared to doses that were safely administered to patients. We concluded that the SPM approach is acceptable in FIH dose estimation, but the variables should be carefully selected for CD3 constructs. For CD3 constructs, use of 60 kg BWh, a clearance exponent of 0.75, and a targeted plasma concentration based on relevant and/or sensitive activity assays was an acceptable approach for FIH dose selection; use of 0.85 as the scaling factor is questionable at this time as it resulted in a FIH dose that was too close to the AHD for one product (7%). Immune activating mAbs were not sensitive to changes in the clearance exponent (0.75–0.85) or body weight (60–70 kg). For PD-1/PD-L1 mAbs, using products' in vitro EC50 in the model resulted in suboptimal FIH doses and clinical data of closely related products informed FIH dose selection. PK models submitted by sponsors were diverse in methods, assumptions, and variables, and the resulting FIH doses were not always optimal.
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