PURPOSE: The aim of this study was to characterize trastuzumab population pharmacokinetics (PKs) in patients with human epidermal growth factor receptor 2-positive advanced gastric or gastroesophageal junction cancer and the relationship of trastuzumab PK with patient response. METHODS: A nonlinear mixed effects PK model was built using data from the ToGA study. Patients were randomized to intravenous trastuzumab plus chemotherapy or chemotherapy alone. The influence of demographic, laboratory, and disease characteristics on PK parameters was assessed. An exploratory exposure-response analysis compared various PK parameters at steady state with best overall tumor response and overall survival (OS). RESULTS:Trastuzumab PK was best described by a two-compartment model with parallel linear and nonlinear (Michaelis-Menten) elimination from the central compartment. Total clearance (and half-life) of trastuzumab was concentration-dependent. Body weight, prior gastrectomy, and serum albumin had the greatest influence on trastuzumab PK; increasing weight and decreasing albumin levels were associated with increased clearance, while prior gastrectomy correlated with decreased clearance. Median values for AUC, Cmax, and Cmin were lower in patients with progressive disease (PD) than other response categories, although the 1.5 interquartile ranges overlapped. Patients with the lowest Cmin had the highest PD rate and a shorter OS. CONCLUSIONS: In the advanced gastric cancer population, trastuzumab PK was best described by a two-compartment model with parallel linear and nonlinear elimination. Predicted PK exposure was lower than previously reported for breast cancer. Patients with the lowest Cmin had a shorter OS and the highest PD rate, but a distinct correlation was not observed for tumor response.
RCT Entities:
PURPOSE: The aim of this study was to characterize trastuzumab population pharmacokinetics (PKs) in patients with humanepidermal growth factor receptor 2-positive advanced gastric or gastroesophageal junction cancer and the relationship of trastuzumab PK with patient response. METHODS: A nonlinear mixed effects PK model was built using data from the ToGA study. Patients were randomized to intravenous trastuzumab plus chemotherapy or chemotherapy alone. The influence of demographic, laboratory, and disease characteristics on PK parameters was assessed. An exploratory exposure-response analysis compared various PK parameters at steady state with best overall tumor response and overall survival (OS). RESULTS:Trastuzumab PK was best described by a two-compartment model with parallel linear and nonlinear (Michaelis-Menten) elimination from the central compartment. Total clearance (and half-life) of trastuzumab was concentration-dependent. Body weight, prior gastrectomy, and serum albumin had the greatest influence on trastuzumab PK; increasing weight and decreasing albumin levels were associated with increased clearance, while prior gastrectomy correlated with decreased clearance. Median values for AUC, Cmax, and Cmin were lower in patients with progressive disease (PD) than other response categories, although the 1.5 interquartile ranges overlapped. Patients with the lowest Cmin had the highest PD rate and a shorter OS. CONCLUSIONS: In the advanced gastric cancer population, trastuzumab PK was best described by a two-compartment model with parallel linear and nonlinear elimination. Predicted PK exposure was lower than previously reported for breast cancer. Patients with the lowest Cmin had a shorter OS and the highest PD rate, but a distinct correlation was not observed for tumor response.
Authors: Charlotte I Stroes; Sandor Schokker; Aafke Creemers; Remco J Molenaar; Maarten C C M Hulshof; Stephanie O van der Woude; Roel J Bennink; Ron A A Mathôt; Kausilia K Krishnadath; Cornelis J A Punt; Rob H A Verhoeven; Martijn G H van Oijen; Geert-Jan Creemers; Grard A P Nieuwenhuijzen; Maurice J C van der Sangen; Laurens V Beerepoot; Joos Heisterkamp; Maartje Los; Marije Slingerland; Annemieke Cats; Geke A P Hospers; Maarten F Bijlsma; Mark I van Berge Henegouwen; Sybren L Meijer; Hanneke W M van Laarhoven Journal: J Clin Oncol Date: 2019-12-06 Impact factor: 44.544