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Observational Study
. 2015 Apr;75(4):791-803.
doi: 10.1007/s00280-015-2701-3. Epub 2015 Feb 17.

A pharmacokinetic binding model for bevacizumab and VEGF165 in colorectal cancer patients

Affiliations
Observational Study

A pharmacokinetic binding model for bevacizumab and VEGF165 in colorectal cancer patients

Eirini Panoilia et al. Cancer Chemother Pharmacol. 2015 Apr.

Abstract

Purpose: To characterize the population pharmacokinetics of bevacizumab, its binding properties to VEGF165 and the effect of demographic data and VEGF-A polymorphisms on the interplay between bevacizumab serum pharmacokinetics and VEGF165 serum concentrations in patients with colorectal cancer stage IV.

Methods: Bevacizumab and VEGF165 data were collected from 19 adult patients with metastatic colorectal cancer enrolled in an observational clinical study. Bevacizumab was administered with one of the following combinations: 5-FU/Leucovorin/Irinotecan, 5-FU/Leucovorin/Oxaliplatin, Capecitabine/Irinotecan at doses ranging from 5 to 10 mg/kg every 2 or 3 weeks. Data analysis was performed using nonlinear mixed-effects modeling implemented in NONMEM 7.3.

Results: A target-mediated drug disposition model adequately described bevacizumab concentration changes over time and its binding characteristics to VEGF165. The estimated clearance of bevacizumab was 0.18 L/day, the free VEGF165 levels at baseline were 212 ng/L, and the elimination rate constant of free VEGF165 was 0.401 day(-1). Body weight was allometrically included in all PK parameters.

Conclusion: The final model adequately described the pre- and post-dose concentrations of total bevacizumab and free VEGF165 in patients with colorectal cancer. Model parameters were consistent with those previously reported for patients with solid tumors. Correlations between the binding affinity of bevacizumab and the VEGF-2578C/A and VEGF-634G/C polymorphisms were noticed.

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Figures

Fig. 1
Fig. 1
Structure of the binding model for bevacizumab–VEGF165 interaction. The approximation CLRC = CL was used for purposes of model fitting
Fig. 2
Fig. 2
Prediction-corrected visual predictive checks of the binding model based on 1000 simulations (panel a total bevacizumab, panel b free VEGF165). Median (solid line), 10th and 90th percentiles (dashed lines) of the observed data (circles) are compared to the 95 % confidence intervals (shaded areas) for the median, 10th and 90th percentiles of the simulated data
Fig. 3
Fig. 3
Model-predicted concentrations of total bevacizumab, total and free VEGF165 for a typical patient of 70 kg. Panels a, b show the total bevacizumab and free VEGF165 concentration profiles at doses of 5 and 7.5 mg/kg, respectively. Panel c depicts the total VEGF165 profiles over time for the two dosing regimens

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References

    1. Avastin-H/C/000582-II/65 (2014) European Public Assessment Report. The European Medicines Agency. http://www.ema.europa.eu/ema/index.jsp?curl=pages/medicines/human/medici.... Accessed 20 Aug 2014
    1. Final Labeling Text, BLA 125085 (2013) Center for Drug Evaluation and Research. U.S. Food and Drug Administration. http://www.accessdata.fda.gov/drugsatfda_docs/label/2013/125085s285lbl.pdf. Accessed 20 Aug 2014
    1. Avastin® (2014) Genentech USA, Inc. http://www.avastin.com/patient?cid=gne_WE_00000083. Accessed 20 Aug 2014
    1. Parikh SS, Mehta HH, Desai BI. Advances in development of bevacizumab, a humanized antiangiogenic therapeutic monoclonal antibody targeting VEGF in cancer cells. Int J Pharm Biomed Sci. 2012;3:155–163.
    1. Tabrizi M, Roskos LK. Exposure–response relationships for therapeutic biologic products. In: Meibohm B, editor. Pharmacokinetics and pharmacodynamics of biotech drugs. Principles and case studies in drug development. Weinheim: WILEY-VCH Verlag GmbH & Co. KGaA; 2006. pp. 295–327.

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