A Mechanistic Physiologically‐Based Pharmacokinetic Platform Model to Guide Adult and Pediatric Intravenous and Subcutaneous Dosing for Bispecific T Cell Engagers

加药 基于生理学的药代动力学模型 药代动力学 生物利用度 医学 药理学 小儿肿瘤学 药效学 肿瘤科 内科学 癌症
作者
Xinwen Zhang,Annie Lumen,Hansen Wong,Jamie N. Connarn,Sandeep Dutta,Vijay Upreti
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:115 (3): 457-467 被引量:7
标识
DOI:10.1002/cpt.3056
摘要

Bispecific T cell engagers (Bi‐TCEs) have revolutionized the treatment of oncology indications across both liquid and solid tumors. Bi‐TCEs are rapidly evolving from conventional intravenous (i.v.) to more convenient subcutaneous (s.c.) administrations and extending beyond adults to also benefit pediatric patients. Leveraging clinical development experience across three generations of Bi‐TCE molecules across both liquid and solid tumor indications from i.v./s.c. dosing in adults and pediatric subjects, we developed a mechanistic‐physiologically‐based pharmacokinetic (PBPK) platform model for Bi‐TCEs. The model utilizes a full PBPK model framework and was successfully validated for PK predictions following i.v. and s.c. dosing across both liquid and solid tumor space in adults for eight Bi‐TCEs. After refinement to incorporate physiological ontogeny, the model was successfully validated to predict pediatric PKs in 1 month – < 2 years, 2–11 years, and 12–17 years old subjects following i.v. dosing. Following s.c. dosing in pediatric subjects, the model predicted similar bioavailability, however, a shorter time to maximum concentration ( T max ) for the three age groups compared with adults. The model was also applied to guide the dosing strategy for first generation of Bi‐TCEs for organ impairment, specifically renal impairment, and was able to accurately predict the impact of renal impairment on PK for these relatively small‐size Bi‐TCEs. This work highlights a novel mechanistic platform model for accurately predicting the PK in adult and pediatric patients across liquid and solid tumor indications from i.v./s.c. dosing and can be used to guide optimal dose and dosing regimen selection and accelerating the clinical development for Bi‐TCEs.
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