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Development of a generalized pharmacokinetic model to characterize clinical pharmacokinetics of monomethyl auristatin E-based antibody-drug conjugates.
Chang, Hsuan-Ping; Cheung, Yuen Kiu; Liu, Shufang; Shah, Dhaval K.
Afiliação
  • Chang HP; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, USA.
  • Cheung YK; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, USA.
  • Liu S; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, USA.
  • Shah DK; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, USA.
Br J Clin Pharmacol ; 90(7): 1637-1655, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38566392
ABSTRACT

AIMS:

This study aims to develop a generalized pharmacokinetic (PK) model for monomethyl auristatin E (MMAE)-based antibody-drug conjugates (ADCs) that can simultaneously capture the PK of multiple ADC analytes commonly measured in the clinic.

METHODS:

A comprehensive literature review was conducted to collect PK data on MMAE-based ADCs from clinical trials. From each study, PK profiles of total antibody, the ADC, conjugated MMAE, and unconjugated MMAE, were extracted. These data were pooled and dose-normalized to evaluate the generalizability of PK across various ADCs and dose levels. Upon confirming PK generalizability, a generalized PK model for MMAE-based ADCs was developed using the entire dataset. Furthermore, exposure metrics ( C max and AUC) reported across the range of doses were combined to establish linear relationships between dose and exposure metrics for MMAE-based ADCs.

RESULTS:

A total of 109 PK profiles from 18 distinct MMAE-based ADCs were gathered. The dose-normalized PK profiles supported the generalizability of PK for MMAE-based ADCs. A generalized PK model was developed, which enabled capturing the PK data for 4 ADC analytes across all collected MMAE-based ADCs. A linear relationship between dose and PK exposure metrics was established, enabling the prediction of typical exposure values across different doses for MMAE-based ADCs.

CONCLUSIONS:

This study comprehensively analysed clinical PK data from different valine-citrulline (vc)-MMAE-based ADCs. The generalized PK model developed here serves as an important tool for a priori prediction of the PK for multiple ADC analytes in clinical settings and lays the foundation for establishing generalized exposure-response and exposure-toxicity correlations for MMAE-based ADCs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oligopeptídeos / Imunoconjugados / Relação Dose-Resposta a Droga / Modelos Biológicos Limite: Humans Idioma: En Revista: Br J Clin Pharmacol / Br. j. clin. pharmacol / British journal of clinical pharmacology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oligopeptídeos / Imunoconjugados / Relação Dose-Resposta a Droga / Modelos Biológicos Limite: Humans Idioma: En Revista: Br J Clin Pharmacol / Br. j. clin. pharmacol / British journal of clinical pharmacology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos