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Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer

BACKGROUND: Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta. OBJECTIVE: We aimed to develop a population pharmacokine...

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Autores principales: Liao, Mingxiang, Zhou, Jie, Wride, Kenton, Lepley, Denise, Cameron, Terri, Sale, Mark, Xiao, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399017/
https://www.ncbi.nlm.nih.gov/pubmed/35844029
http://dx.doi.org/10.1007/s13318-022-00773-w
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author Liao, Mingxiang
Zhou, Jie
Wride, Kenton
Lepley, Denise
Cameron, Terri
Sale, Mark
Xiao, Jim
author_facet Liao, Mingxiang
Zhou, Jie
Wride, Kenton
Lepley, Denise
Cameron, Terri
Sale, Mark
Xiao, Jim
author_sort Liao, Mingxiang
collection PubMed
description BACKGROUND: Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta. OBJECTIVE: We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers. METHODS: PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule. RESULTS: Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption. CONCLUSIONS: The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13318-022-00773-w.
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spelling pubmed-93990172022-08-25 Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer Liao, Mingxiang Zhou, Jie Wride, Kenton Lepley, Denise Cameron, Terri Sale, Mark Xiao, Jim Eur J Drug Metab Pharmacokinet Original Research Article BACKGROUND: Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta. OBJECTIVE: We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers. METHODS: PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule. RESULTS: Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption. CONCLUSIONS: The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13318-022-00773-w. Springer International Publishing 2022-07-18 2022 /pmc/articles/PMC9399017/ /pubmed/35844029 http://dx.doi.org/10.1007/s13318-022-00773-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Liao, Mingxiang
Zhou, Jie
Wride, Kenton
Lepley, Denise
Cameron, Terri
Sale, Mark
Xiao, Jim
Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title_full Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title_fullStr Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title_full_unstemmed Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title_short Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
title_sort population pharmacokinetic modeling of lucitanib in patients with advanced cancer
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399017/
https://www.ncbi.nlm.nih.gov/pubmed/35844029
http://dx.doi.org/10.1007/s13318-022-00773-w
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