Your browser doesn't support javascript.
loading
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.
Afiliação
  • van Erp NP; Department of Pharmacy, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • van Herpen CM; Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • de Wit D; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Willemsen A; Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Burger DM; Department of Pharmacy, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Huitema AD; Department of Pharmacy and Pharmacology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Kapiteijn E; Department of Medical Oncology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Ter Heine R; Department of Pharmacy, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. r.terheine@radboudumc.nl.
Clin Pharmacokinet ; 55(11): 1447-1456, 2016 11.
Article em En | MEDLINE | ID: mdl-27299325
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Everolimo / Hematócrito / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Pharmacokinet Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Everolimo / Hematócrito / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Pharmacokinet Ano de publicação: 2016 Tipo de documento: Article