Purpose: The purpose of this analysis was to develop a population pharmacokinetic (PK) model for patritumab, a fully human monoclonal antibody that targets human epidermal growth factor receptor 3.
Methods: A total of 833 serum concentrations were included in this analysis; serum concentrations were obtained from 145 subjects (136 with non-small cell lung cancer, nine with solid tumors) treated with patritumab [9 or 18 mg/kg intravenously every 3 weeks (q3w)] in one phase 1 and one phase 1b/2 study. Data were analyzed by nonlinear mixed-effect modeling.
Results: Patritumab PKs were best described through a two-compartment model with first-order elimination and interindividual variability on clearance (CL), volume of the central compartment (V c), distributional clearance, and volume of the peripheral compartment. In the final model, CL and V c were estimated as 0.0238 L/h and 3.62 L, respectively. Body weight (BW) and baseline albumin were found to be covariates for CL and BW was a covariate for V c. Covariates associated with hepatic and renal impairment were not significant on CL. Simulations showed that BW-based dosing reduced interindividual variability in patritumab exposure compared with fixed dosing.
Conclusions: The PK of patritumab was linear at the doses studied and well described by the two-compartment model. Hepatic and renal impairment did not appear to affect PK. Our results support BW-based dosing of patritumab on a q3w schedule.
Keywords: Modeling; Non-small cell lung cancer; Patritumab; Population pharmacokinetics.