Population pharmacokinetics of zanidatamab, an anti-HER2 biparatopic antibody, in patients with advanced or metastatic cancer.

Autor: Proctor, Jeffrey R., Gartner, Elaina M., Gray, Todd E., Davies, Rupert H.
Zdroj: Cancer Chemotherapy & Pharmacology; Nov2022, Vol. 90 Issue 5, p399-408, 10p
Abstrakt: Purpose: To characterize the pharmacokinetics (PK) of zanidatamab including evaluation of the impact of intrinsic and extrinsic patient factors. To investigate alternative dosing regimens to improve caregiver convenience and reduce zanidatamab wastage.Methods: Serum zanidatamab concentrations were obtained from 305 patients with advanced or metastatic breast cancer, gastroesophageal adenocarcinoma (GEA), biliary tract cancer, and other HER2-expressing cancers from four ongoing phase I and II clinical trials. Zanidatamab PK were described using population methods. The exposure of alternative dosing regimens and the impact of dose delay was estimated by model simulation.Results: A two-compartment model with parallel linear and nonlinear clearance from the central compartment adequately described zanidatamab PK. At the recommended dose regimens of 20 mg/kg Q2W and 30 mg/kg Q3W, zanidatamab clearance was primarily linear at steady state. At steady state, 30 mg/kg Q3W zanidatamab returns within 10% of the steady state trough after 2 subsequent doses following either a 1-week or 2-week dose delay. Statistically significant covariates included in the final model were body weight, sex, albumin, GEA cancer type, baseline tumor size, and presence of post-baseline anti-drug antibodies, all of which resulted in less than 30% impact on exposure. Model simulation predicts weight-based and two-tiered flat dosing will result in similar exposure and variability.Conclusion: The identified significant covariates were not considered clinically meaningful. Both weight-based (30 mg/kg Q3W) and two-tiered flat dosing (1800/2400 mg Q3W, 70 kg threshold) strategies are expected to provide similar exposures of zanidatamab. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index