Bases farmacocinéticas de la monitorización de imatinib en pacientes oncológicos

  1. ARENALES CÁCERES, Pablo
  2. GARCÍA SÁNCHEZ, María José 1
  1. 1 Departamento de Ciencias Farmacéuticas. Área de Farmacia y Tecnología Farmacéutica. Universidad de Salamanca. Campus Miguel de Unamuno. Salamanca
Journal:
Farmajournal

ISSN: 2445-1355

Year of publication: 2018

Volume: 3

Issue: 1

Pages: 25-33

Type: Article

More publications in: Farmajournal

Abstract

The widely inter-individual pharmacokinetic variability of the tyrosine-kinase BCR-ABL1 inhibitor imatinib shows a high trough plasma concentration (Cmin) variability at the steady state, after a standard given dosing regimen. Cmin of 16 diagnosed patients of chronic myeloid leukemia from Salamanca Clinical Hospital was measured by HPLC-MS, estimating the main pharmacokinetic parameters by Bayesian methodology. Two clinical pharmacokinetic software: PKS and WinPKS (in development) were used, in which three population pharmacokinetic models were implemented. The main pharmacokinetic parameters estimated are volume of distribution, clearance, half-life time, elimination rate constant and area under the curve. These pharmacokinetic parameters can be used to dosing adjustment by setting the most appropriate maintenance dose and frequency of administration to achieve safe and effective Cmin at the steady state. It has been shown no clinically significant differences among the tested population pharmacokinetic models, but a high pharmacokinetic interindividual variability. These results justify the use of Therapeutic Drug Monitoring as a useful clinical tool in order to optimize the dosing in non-response patients.

Bibliographic References

  •  Baccarani M, Cortes J, Pane F, Niederwieser D, Saglio G, Apperley J, et al. Chronic Myeloid Leukemia: An Update of Concepts and Management Recommendations of European LeukemiaNet. J Clin Oncol. 2009; 27(35): 6041-6051.
  •  Cortes JE, Egorin MJ, Guilhot F, Molimard M, Mahon FX. Pharmacokinetic/pharmacodynamic correlation and blood-level testing in imatinib therapy for chronic myeloid leukemia. Leukemia. 2009; 23: 1537–1544.
  •  Domenech Berrozpe J, Martínez Lanao L, Peraire Guitart C. Tratado general de Biofarmacia y Farmacocinética. Vol 2. Síntesis. 2013; 246-248.
  •  Frazer R, Irvine AE, McMullin MF. Chronic Myeloid Leukaemia in The 21st Century. Ulster Med J. 2007; 76(1): 8-17.
  •  Gotta V, Buclin T, Csajka C, Widmer N. Systematic Review of Population Pharmacokinetics Analyses of imatinib and Relationships with Treatment Outcomes. Ther Drug Monit. 2013; 35(2): 150-167.
  •  Gotta V, Widmer N, Montemurro M, Leyvraz S, Haouala A, Decosterd LA, et al. Therapeutic Drug Monitoring of Imatinib. Bayesian and Alternative Methods to Predict Trough Levels. Clin Pharmacokinet. 2012; 51(3): 187-201.
  •  Jabbour E, Kantarjian H. Chronic myeloid leukemia: 2016 update on diagnosis, therapy, and monitoring. Am J Hematol. 2016; 91: 252-65.
  •  Menon-Andersen D, Mondick JT, Jayaraman B, Thompson PA, Blaney SM, Bernsteinet M, et al. Population pharmacokinetics of imatinib mesylate and its metabolite in children and young adults. Cancer Chemother Pharmacol. 2009; 63: 229-238.
  •  Rezende VM, Rivellis A, Novaes MMY, de Alencar Fisher Chamones D, Bendit I. Quantification of imatinib in human serum: validation of a high-performance liquid chromatography-mass spectrometry method for therapeutic drug monitoring and pharmacokinetic assays. Drug Des Devel Ther. 2013; 7: 699-710.
  •  Steegmann JL, Gómez Casares MT, Pérez Encinas M. Manual para el control y el tratamiento de los pacientes con leucemia mieloide crónica. SEHH. 2014; 27.
  •  Widmer N, Decosterd LA, Csajka C, et al. Population pharmacokinetics of imatinib and the role of a1-acid glycoprotein. Br J Clin Pharmacol. 2006; 62(1): 97-112.