[HTML][HTML] Population pharmacokinetic modeling of olaratumab, an anti-PDGFRα human monoclonal antibody, in patients with advanced and/or metastatic cancer

G Mo, JR Baldwin, D Luffer-Atlas, RL Ilaria… - Clinical …, 2018 - Springer
G Mo, JR Baldwin, D Luffer-Atlas, RL Ilaria, I Conti, M Heathman, DM Cronier
Clinical pharmacokinetics, 2018Springer
Abstract Background and Objectives Olaratumab is a recombinant human monoclonal
antibody that binds to platelet-derived growth factor receptor-α (PDGFRα). In a randomized
phase II study, olaratumab plus doxorubicin met its predefined primary endpoint for
progression-free survival and achieved a highly significant improvement in overall survival
versus doxorubicin alone in patients with advanced or metastatic soft tissue sarcoma (STS).
In this study, we characterize the pharmacokinetics (PKs) of olaratumab in a cancer patient …
Background and Objectives
Olaratumab is a recombinant human monoclonal antibody that binds to platelet-derived growth factor receptor-α (PDGFRα). In a randomized phase II study, olaratumab plus doxorubicin met its predefined primary endpoint for progression-free survival and achieved a highly significant improvement in overall survival versus doxorubicin alone in patients with advanced or metastatic soft tissue sarcoma (STS). In this study, we characterize the pharmacokinetics (PKs) of olaratumab in a cancer patient population.
Methods
Olaratumab was tested at 15 or 20 mg/kg in four phase II studies (in patients with nonsmall cell lung cancer, glioblastoma multiforme, STS, and gastrointestinal stromal tumors) as a single agent or in combination with chemotherapy. PK sampling was performed to measure olaratumab serum levels. PK data were analyzed by nonlinear mixed-effect modeling techniques using NONMEM®.
Results
The PKs of olaratumab were best described by a two-compartment PK model with linear clearance (CL). Patient body weight was found to have a significant effect on both CL and central volume of distribution (V 1), whereas tumor size significantly affected CL. A small subset of patients developed treatment-emergent anti-drug antibodies (TE-ADAs); however, TE-ADAs did not have any effect on CL or PK time course of olaratumab. There was no difference in the PKs of olaratumab between patients who received olaratumab as a single agent or in combination with chemotherapy.
Conclusion
The PKs of olaratumab were best described by a model with linear disposition. Patient body weight and tumor size were found to be significant covariates. The PKs of olaratumab were not affected by immunogenicity or chemotherapeutic agents.
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