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Published in: Cancer Chemotherapy and Pharmacology 1/2015

01-01-2015 | Original Article

Population pharmacokinetic model of ibrutinib, a Bruton tyrosine kinase inhibitor, in patients with B cell malignancies

Authors: Eleonora Marostica, Juthamas Sukbuntherng, David Loury, Jan de Jong, Xavier Woot de Trixhe, An Vermeulen, Giuseppe De Nicolao, Susan O’Brien, John C. Byrd, Ranjana Advani, Jesse McGreivy, Italo Poggesi

Published in: Cancer Chemotherapy and Pharmacology | Issue 1/2015

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Abstract

Purpose

Ibrutinib is an oral Bruton’s tyrosine kinase inhibitor, recently approved for the treatment of mantle cell lymphoma (MCL) and chronic lymphocytic leukemia (CLL) patients with at least one prior therapy. We developed a population pharmacokinetic (PK) model for ibrutinib in patients.

Methods

Ibrutinib PK data (3,477 observations/245 patients) were available from the following clinical studies: (1) A phase I dose-escalation study in recurrent B cell malignancies (dose levels of 1.25–12.5 mg/kg/day and fixed dose of 560 mg/day); (2) a phase II study in MCL (fixed dose level of 560 mg/day); (3) a phase Ib/II dose-finding study in CLL (fixed dose levels of 420 and 840 mg/day). Different compartmental PK models were explored using nonlinear mixed effects modeling.

Results

A two-compartment PK model with sequential zero–first-order absorption and first-order elimination was able to characterize the PK of ibrutinib. The compound was rapidly absorbed, had a high oral plasma clearance (approximately 1,000 L/h) and a high apparent volume of distribution at steady state (approximately 10,000 L). PK parameters were not dependent on dose, study, or clinical indication. The fasting state was characterized by a 67 % relative bioavailability compared with the meal conditions used in the trials and administration after a high-fat meal. Body weight and coadministration of antacids marginally increased volume of distribution and duration of absorption, respectively.

Conclusions

The proposed population PK model was able to describe the plasma concentration–time profiles of ibrutinib across various trials. The linear model indicated that the compound’s PK was dose independent and time independent.
Literature
1.
go back to reference Byrd JC, Fuman RR, Coutre SE, Flinn IW, Burger JA, Blum KA et al (2013) Targeting BTK with ibrutinib in relapsed chronic lymphocytic leukemia. N Engl J Med 369:32–42PubMedCentralPubMedCrossRef Byrd JC, Fuman RR, Coutre SE, Flinn IW, Burger JA, Blum KA et al (2013) Targeting BTK with ibrutinib in relapsed chronic lymphocytic leukemia. N Engl J Med 369:32–42PubMedCentralPubMedCrossRef
2.
go back to reference Wang ML, Rule S, Martin P, Goy A, Auer R, Kahl BS et al (2013) Targeting BTK with ibrutinib in relapsed or refractory mantle-cell lymphoma. N Engl J Med 369:507–516PubMedCrossRef Wang ML, Rule S, Martin P, Goy A, Auer R, Kahl BS et al (2013) Targeting BTK with ibrutinib in relapsed or refractory mantle-cell lymphoma. N Engl J Med 369:507–516PubMedCrossRef
4.
go back to reference Wiestner A (2013) Targeting B-cell receptor signaling for anticancer therapy: the Bruton’s tyrosine kinase inhibitor ibrutinib induces impressive responses in B-cell malignancies. J Clin Oncol 31:128–130PubMedCrossRef Wiestner A (2013) Targeting B-cell receptor signaling for anticancer therapy: the Bruton’s tyrosine kinase inhibitor ibrutinib induces impressive responses in B-cell malignancies. J Clin Oncol 31:128–130PubMedCrossRef
5.
go back to reference Herman SEM, Gordon AL, Hertlein E, Ramanunni A, Zhang X, Jaglowski S et al (2011) Bruton tyrosine kinase represents a promising therapeutic target for treatment of chronic lymphocytic leukemia and is effectively targeted by PCI-3276. Blood 117:6287–6296PubMedCentralPubMedCrossRef Herman SEM, Gordon AL, Hertlein E, Ramanunni A, Zhang X, Jaglowski S et al (2011) Bruton tyrosine kinase represents a promising therapeutic target for treatment of chronic lymphocytic leukemia and is effectively targeted by PCI-3276. Blood 117:6287–6296PubMedCentralPubMedCrossRef
6.
go back to reference Advani RH, Buggy JJ, Sharman JP, Smith SM, Boyd TE, Grant B et al (2013) Bruton tyrosine kinase inhibitor Ibrutinib (PCI-32765) has significant activity in patients with relapsed/refractory B-cell malignancies. J Clin Oncol 31:88–94PubMedCrossRef Advani RH, Buggy JJ, Sharman JP, Smith SM, Boyd TE, Grant B et al (2013) Bruton tyrosine kinase inhibitor Ibrutinib (PCI-32765) has significant activity in patients with relapsed/refractory B-cell malignancies. J Clin Oncol 31:88–94PubMedCrossRef
7.
go back to reference Honigberg LA, Smith AM, Sirisawad M, Verner E, Loury D, Chang B et al (2010) The Bruton tyrosine kinase inhibitor PCI-32765 blocks B-cell activation and is efficacious in models of autoimmune disease and B-cell malignancy. Proc Natl Acad Sci USA 107:13075–13080PubMedCentralPubMedCrossRef Honigberg LA, Smith AM, Sirisawad M, Verner E, Loury D, Chang B et al (2010) The Bruton tyrosine kinase inhibitor PCI-32765 blocks B-cell activation and is efficacious in models of autoimmune disease and B-cell malignancy. Proc Natl Acad Sci USA 107:13075–13080PubMedCentralPubMedCrossRef
8.
go back to reference Poggesi I, Sardu ML, Marostica E, Sukbuntherng J, Chang BY, de Jong J, Woot de Trixhe X, Vermeulen A, De Nicolao G, O’Brien SM, Byrd JC, Advani RH, James DF, Deraedt W, Beaupre D, Wang M (2014). Population pharmacokinetic-pharmacodynamic (PKPD) modeling of ibrutinib in patients with B-Cell malignancies. Accepted for AACR meeting “Hematological malignancies: Translating discoveries in novel therapies” September 20–23, 2014 Sheraton Philadelphia Downtown Philadelphia, PA, USA Poggesi I, Sardu ML, Marostica E, Sukbuntherng J, Chang BY, de Jong J, Woot de Trixhe X, Vermeulen A, De Nicolao G, O’Brien SM, Byrd JC, Advani RH, James DF, Deraedt W, Beaupre D, Wang M (2014). Population pharmacokinetic-pharmacodynamic (PKPD) modeling of ibrutinib in patients with B-Cell malignancies. Accepted for AACR meeting “Hematological malignancies: Translating discoveries in novel therapies” September 20–23, 2014 Sheraton Philadelphia Downtown Philadelphia, PA, USA
9.
go back to reference Beal S, Sheiner LB, Boeckmann A, Bauer RJ, NONMEM (2009) User’s guides. Icon Development Solutions, Ellicott City Beal S, Sheiner LB, Boeckmann A, Bauer RJ, NONMEM (2009) User’s guides. Icon Development Solutions, Ellicott City
10.
go back to reference Ette Ene I, Williams Paul J (2007) Pharmacometrics: the science of quantitative pharmacology. Wiley-Interscience, New YorkCrossRef Ette Ene I, Williams Paul J (2007) Pharmacometrics: the science of quantitative pharmacology. Wiley-Interscience, New YorkCrossRef
11.
go back to reference Oberg A, Davidian M (2000) Estimating data transformations in nonlinear mixed effects models. Biometrics 56:65–72PubMedCrossRef Oberg A, Davidian M (2000) Estimating data transformations in nonlinear mixed effects models. Biometrics 56:65–72PubMedCrossRef
12.
go back to reference Bonate PL (2011) Pharmacokinetic-pharmacodynamic modeling and simulation, 2nd edn. Springer, New YorkCrossRef Bonate PL (2011) Pharmacokinetic-pharmacodynamic modeling and simulation, 2nd edn. Springer, New YorkCrossRef
13.
go back to reference Bonate PL (1999) The effect of collinearity on parameter estimates in nonlinear mixed effect modeling. Pharm Res 16:709–717PubMedCrossRef Bonate PL (1999) The effect of collinearity on parameter estimates in nonlinear mixed effect modeling. Pharm Res 16:709–717PubMedCrossRef
14.
go back to reference Wahlby U, Jonsson EN, Karlsson MO (2002) Comparison of stepwise covariate model building strategies in population pharmacokinetic-pharmacodynamic analysis. AAPS PharmSci 4(4):27CrossRef Wahlby U, Jonsson EN, Karlsson MO (2002) Comparison of stepwise covariate model building strategies in population pharmacokinetic-pharmacodynamic analysis. AAPS PharmSci 4(4):27CrossRef
15.
go back to reference R Development Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, (URL http://www.R-project.org) R Development Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, (URL http://​www.​R-project.​org)
17.
go back to reference Xu SX, Dunne A, Kimko H, Nandy P, Vermeulen A (2011) Impact of low percentage of data below the quantification limit on parameter estimates of pharmacokinetic models. J Pharmacokinet Pharmacodyn 38:423–432PubMedCrossRef Xu SX, Dunne A, Kimko H, Nandy P, Vermeulen A (2011) Impact of low percentage of data below the quantification limit on parameter estimates of pharmacokinetic models. J Pharmacokinet Pharmacodyn 38:423–432PubMedCrossRef
18.
go back to reference Anderson BJ, Holford NHG (2008) Mechanism-based concepts of size and maturity. Annu Rev Pharmacol Toxicol 48:303–332PubMedCrossRef Anderson BJ, Holford NHG (2008) Mechanism-based concepts of size and maturity. Annu Rev Pharmacol Toxicol 48:303–332PubMedCrossRef
19.
go back to reference Jong de J, Sukbuntherng J, Skee D, Murphy J, O’Brien S, Byrd JC, et al (2014) Evaluation of the pharmacokinetics and food effect of oral ibrutinib in healthy subjects and chronic lymphocytic leukemia patients. AACR annual meeting. Abstract #4637: April 5–9 Jong de J, Sukbuntherng J, Skee D, Murphy J, O’Brien S, Byrd JC, et al (2014) Evaluation of the pharmacokinetics and food effect of oral ibrutinib in healthy subjects and chronic lymphocytic leukemia patients. AACR annual meeting. Abstract #4637: April 5–9
21.
go back to reference Sukbuntherng J, Jong de J, Skee D, Pak Y, Fardis M, O’Brien S et al (2014) Pharmacokinetics and safety of ibrutinib with concomitant use of CYP3A inhibitors in patients with B-cell malignancies. ACCP annual meeting Sukbuntherng J, Jong de J, Skee D, Pak Y, Fardis M, O’Brien S et al (2014) Pharmacokinetics and safety of ibrutinib with concomitant use of CYP3A inhibitors in patients with B-cell malignancies. ACCP annual meeting
22.
go back to reference Hsu A, Granneman GR, Witt G, Locke C, Denissen J, Molla A et al (1997) Multiple-dose pharmacokinetics of ritonavir in human immunodeficiency virus-infected patients. Antimicrob Agents Chemother 41:898–905PubMedCentralPubMed Hsu A, Granneman GR, Witt G, Locke C, Denissen J, Molla A et al (1997) Multiple-dose pharmacokinetics of ritonavir in human immunodeficiency virus-infected patients. Antimicrob Agents Chemother 41:898–905PubMedCentralPubMed
23.
go back to reference Montgomery DC, Peck EA (1982) Introduction to linear regression analysis. Wiley, London, p 277 Montgomery DC, Peck EA (1982) Introduction to linear regression analysis. Wiley, London, p 277
Metadata
Title
Population pharmacokinetic model of ibrutinib, a Bruton tyrosine kinase inhibitor, in patients with B cell malignancies
Authors
Eleonora Marostica
Juthamas Sukbuntherng
David Loury
Jan de Jong
Xavier Woot de Trixhe
An Vermeulen
Giuseppe De Nicolao
Susan O’Brien
John C. Byrd
Ranjana Advani
Jesse McGreivy
Italo Poggesi
Publication date
01-01-2015
Publisher
Springer Berlin Heidelberg
Published in
Cancer Chemotherapy and Pharmacology / Issue 1/2015
Print ISSN: 0344-5704
Electronic ISSN: 1432-0843
DOI
https://doi.org/10.1007/s00280-014-2617-3

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