Abstract
Purpose To characterize exposure-response relationships of AMG 386 in a phase 2 study in advanced ovarian cancer for the facilitation of dose selection in future studies. Methods A population pharmacokinetic model of AMG 386 (N = 141) was developed and applied in an exposure-response analysis using data from patients (N = 160) with recurrent ovarian cancer who received paclitaxel plus AMG 386 (3 or 10 mg/kg once weekly) or placebo. Reduction in the risk of progression or death with increasing exposure (steady-state area under the concentration-versus-time curve [AUC ss]) was assessed using Cox regression analyses. Confounding factors were tested in multivariate analysis. Alternative AMG 386 doses were explored with Monte Carlo simulations using population pharmacokinetic and parametric survival models. Results There was a trend toward increased PFS with increased AUC ss (hazard ratio [HR] for each one-unit increment in AUC ss, 0.97; P = 0.097), suggesting that the maximum effect on prolonging PFS was not achieved at the highest dose tested (10 mg/kg). Among patients with AUC ss ≥ 9.6 mg h/mL, PFS was 8.1 months versus 5.7 months for AUC ss<9.6 mg h/mL and 4.6 months for placebo. No relationship between AUC ss and grade ≥3 adverse events was observed. Simulations predicted that AMG 386 15 mg/kg once weekly would result in an AUC ss ≥ 9.6 mg h/mL in>90% of patients with median PFS of 8.2 months versus 5.0 months for placebo (HR [15 mg/kg vs. placebo], 0.56). Conclusions Increased exposure to AMG 386 was associated with improved clinical outcomes in recurrent ovarian cancer, supporting the evaluation of a higher dose in future studies. © Springer-Verlag 2012.
Author supplied keywords
Cite
CITATION STYLE
Lu, J. F., Rasmussen, E., Karlan, B. Y., Vergote, I. B., Navale, L., Kuchimanchi, M., … Sun, Y. N. (2012). Exposure-response relationship of AMG 386 in combination with weekly paclitaxel in recurrent ovarian cancer and its implication for dose selection. Cancer Chemotherapy and Pharmacology, 69(5), 1135–1144. https://doi.org/10.1007/s00280-011-1787-5
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.