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A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients

INTRODUCTION AND OBJECTIVE: Everolimus (a drug from the class of mammalian target of rapamycin [mTOR] inhibitors) is associated with frequent toxicity-related dose reductions. Everolimus accumulates in erythrocytes, but the extent to which hematocrit affects everolimus plasma pharmacokinetics and ph...

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Autores principales: van Erp, Nielka P., van Herpen, Carla M., de Wit, Djoeke, Willemsen, Annelieke, Burger, David M., Huitema, Alwin D. R., Kapiteijn, Ellen, ter Heine, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069307/
https://www.ncbi.nlm.nih.gov/pubmed/27299325
http://dx.doi.org/10.1007/s40262-016-0414-3
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author van Erp, Nielka P.
van Herpen, Carla M.
de Wit, Djoeke
Willemsen, Annelieke
Burger, David M.
Huitema, Alwin D. R.
Kapiteijn, Ellen
ter Heine, Rob
author_facet van Erp, Nielka P.
van Herpen, Carla M.
de Wit, Djoeke
Willemsen, Annelieke
Burger, David M.
Huitema, Alwin D. R.
Kapiteijn, Ellen
ter Heine, Rob
author_sort van Erp, Nielka P.
collection PubMed
description INTRODUCTION AND OBJECTIVE: Everolimus (a drug from the class of mammalian target of rapamycin [mTOR] inhibitors) is associated with frequent toxicity-related dose reductions. Everolimus accumulates in erythrocytes, but the extent to which hematocrit affects everolimus plasma pharmacokinetics and pharmacodynamics is unknown. We aimed to investigate the everolimus pharmacokinetics/pharmacodynamics and the influence of hematocrit in cancer patients. METHODS: A semi-physiological pharmacokinetic model for everolimus was developed from pharmacokinetic data from 73 patients by non-linear mixed-effects modeling. Using a simulation study with a known pharmacodynamic model describing S6K1 (a downstream mTOR effector) inhibition, we investigated the impact of hematocrit. RESULTS: The apparent volume of distribution of the central and peripheral compartment were estimated to be 207 L with a relative standard error (RSE) of 5.0 % and 485 L (RSE 4.2 %), respectively, with an inter-compartmental clearance of 72.1 L/h (RSE 3.2 %). The apparent intrinsic clearance was 198 L/h (RSE 4.3 %). A decrease in hematocrit from 45 % to 20 % resulted in a predicted reduction in whole-blood exposure of ~50 %, but everolimus plasma pharmacokinetics and pharmacodynamics were not affected. The predicted S6K1 inhibition was at a plateau level in the approved dose of 10 mg once daily. CONCLUSIONS: A population pharmacokinetic model was developed for everolimus in cancer patients. Hematocrit influenced whole-blood pharmacokinetics, but not plasma pharmacokinetics or pharmacodynamics. Everolimus whole-blood concentrations should always be corrected for hematocrit. Since predicted mTOR inhibition was at a plateau level in the approved dose, dose reductions may have only a limited impact on mTOR inhibition.
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spelling pubmed-50693072016-11-02 A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients van Erp, Nielka P. van Herpen, Carla M. de Wit, Djoeke Willemsen, Annelieke Burger, David M. Huitema, Alwin D. R. Kapiteijn, Ellen ter Heine, Rob Clin Pharmacokinet Original Research Article INTRODUCTION AND OBJECTIVE: Everolimus (a drug from the class of mammalian target of rapamycin [mTOR] inhibitors) is associated with frequent toxicity-related dose reductions. Everolimus accumulates in erythrocytes, but the extent to which hematocrit affects everolimus plasma pharmacokinetics and pharmacodynamics is unknown. We aimed to investigate the everolimus pharmacokinetics/pharmacodynamics and the influence of hematocrit in cancer patients. METHODS: A semi-physiological pharmacokinetic model for everolimus was developed from pharmacokinetic data from 73 patients by non-linear mixed-effects modeling. Using a simulation study with a known pharmacodynamic model describing S6K1 (a downstream mTOR effector) inhibition, we investigated the impact of hematocrit. RESULTS: The apparent volume of distribution of the central and peripheral compartment were estimated to be 207 L with a relative standard error (RSE) of 5.0 % and 485 L (RSE 4.2 %), respectively, with an inter-compartmental clearance of 72.1 L/h (RSE 3.2 %). The apparent intrinsic clearance was 198 L/h (RSE 4.3 %). A decrease in hematocrit from 45 % to 20 % resulted in a predicted reduction in whole-blood exposure of ~50 %, but everolimus plasma pharmacokinetics and pharmacodynamics were not affected. The predicted S6K1 inhibition was at a plateau level in the approved dose of 10 mg once daily. CONCLUSIONS: A population pharmacokinetic model was developed for everolimus in cancer patients. Hematocrit influenced whole-blood pharmacokinetics, but not plasma pharmacokinetics or pharmacodynamics. Everolimus whole-blood concentrations should always be corrected for hematocrit. Since predicted mTOR inhibition was at a plateau level in the approved dose, dose reductions may have only a limited impact on mTOR inhibition. Springer International Publishing 2016-06-14 2016 /pmc/articles/PMC5069307/ /pubmed/27299325 http://dx.doi.org/10.1007/s40262-016-0414-3 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research Article
van Erp, Nielka P.
van Herpen, Carla M.
de Wit, Djoeke
Willemsen, Annelieke
Burger, David M.
Huitema, Alwin D. R.
Kapiteijn, Ellen
ter Heine, Rob
A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title_full A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title_fullStr A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title_full_unstemmed A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title_short A Semi-Physiological Population Model to Quantify the Effect of Hematocrit on Everolimus Pharmacokinetics and Pharmacodynamics in Cancer Patients
title_sort semi-physiological population model to quantify the effect of hematocrit on everolimus pharmacokinetics and pharmacodynamics in cancer patients
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069307/
https://www.ncbi.nlm.nih.gov/pubmed/27299325
http://dx.doi.org/10.1007/s40262-016-0414-3
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