Cargando…

Population pharmacokinetic data analysis of three phase I studies of matuzumab, a humanised anti-EGFR monoclonal antibody in clinical cancer development

A population pharmacokinetic model based on data from three phase I studies was to be developed including a covariate analysis to describe the concentration–time profiles of matuzumab, a novel humanised monoclonal antibody. Matuzumab was administered as multiple 1 h i.v. infusions with 11 different...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuester, K, Kovar, A, Lüpfert, C, Brockhaus, B, Kloft, C
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266843/
https://www.ncbi.nlm.nih.gov/pubmed/18319714
http://dx.doi.org/10.1038/sj.bjc.6604265
Descripción
Sumario:A population pharmacokinetic model based on data from three phase I studies was to be developed including a covariate analysis to describe the concentration–time profiles of matuzumab, a novel humanised monoclonal antibody. Matuzumab was administered as multiple 1 h i.v. infusions with 11 different dosing regimens ranging from 400 to 2000 mg, q1w–q3w. For analysis, 90 patients with 1256 serum concentration–time data were simultaneously fitted using the software NONMEM™. Data were best described using a two-compartment model with the parameters central (V(1)) and peripheral distribution volume (V(2)), intercompartmental (Q) and linear (CLL) clearance and an additional nonlinear elimination pathway (K(m), V(max)). Structural parameters were in agreement with immunoglobulin characteristics. In total, interindividual variability on V(max), CLL, V(1) and V(2) and interoccasion variability on CLL was 22–62% CV. A covariate analysis identified weight having an influence on V(1) (+0.44% per kg) and CLL (+0.87% per kg). All parameters were estimated with good precision (RSE<39%). A robust population pharmacokinetic model for matuzumab was developed, including a nonlinear pharmacokinetic process. In addition, relevant and plausible covariates were identified and incorporated into the model. When correlated to efficacy, this model could serve as a tool to guide dose selection for this ‘targeted’ cancer therapy.