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Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer
BACKGROUND AND OBJECTIVES: Brigatinib is an oral tyrosine kinase inhibitor approved in multiple countries for the treatment of patients with anaplastic lymphoma kinase-positive metastatic non-small cell lung cancer who have progressed on or are intolerant to crizotinib. We report a population pharma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862202/ https://www.ncbi.nlm.nih.gov/pubmed/32816246 http://dx.doi.org/10.1007/s40262-020-00929-4 |
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author | Gupta, Neeraj Wang, Xiaohui Offman, Elliot Prohn, Marita Narasimhan, Narayana Kerstein, David Hanley, Michael J. Venkatakrishnan, Karthik |
author_facet | Gupta, Neeraj Wang, Xiaohui Offman, Elliot Prohn, Marita Narasimhan, Narayana Kerstein, David Hanley, Michael J. Venkatakrishnan, Karthik |
author_sort | Gupta, Neeraj |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Brigatinib is an oral tyrosine kinase inhibitor approved in multiple countries for the treatment of patients with anaplastic lymphoma kinase-positive metastatic non-small cell lung cancer who have progressed on or are intolerant to crizotinib. We report a population pharmacokinetic model-based analysis for brigatinib. METHODS: Plasma concentration–time data were collected from 442 participants (105 healthy volunteers and 337 patients with cancer) who received single or multiple doses of oral brigatinib in one of five trials. Data were analyzed using non-linear mixed-effects modeling (NONMEM software version 7.3). RESULTS: Brigatinib plasma concentrations were best described by a three-compartment model with a transit compartment input (number of transit compartments = 2.35; mean transit time = 0.9 h). The final model included albumin as a covariate on apparent clearance. None of the additional covariates examined, including sex, age, race, body weight, mild or moderate renal impairment, total bilirubin, aspartate aminotransferase, and alanine aminotransferase, were found to meaningfully explain variability in apparent clearance, suggesting that no dose adjustment is required based on these covariates. CONCLUSIONS: Results from these population pharmacokinetic analyses informed the prescribing guidance for patients with mild or moderate renal impairment in the US Prescribing Information and the European Summary of Product Characteristics for brigatinib. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-020-00929-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7862202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78622022021-02-11 Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer Gupta, Neeraj Wang, Xiaohui Offman, Elliot Prohn, Marita Narasimhan, Narayana Kerstein, David Hanley, Michael J. Venkatakrishnan, Karthik Clin Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVES: Brigatinib is an oral tyrosine kinase inhibitor approved in multiple countries for the treatment of patients with anaplastic lymphoma kinase-positive metastatic non-small cell lung cancer who have progressed on or are intolerant to crizotinib. We report a population pharmacokinetic model-based analysis for brigatinib. METHODS: Plasma concentration–time data were collected from 442 participants (105 healthy volunteers and 337 patients with cancer) who received single or multiple doses of oral brigatinib in one of five trials. Data were analyzed using non-linear mixed-effects modeling (NONMEM software version 7.3). RESULTS: Brigatinib plasma concentrations were best described by a three-compartment model with a transit compartment input (number of transit compartments = 2.35; mean transit time = 0.9 h). The final model included albumin as a covariate on apparent clearance. None of the additional covariates examined, including sex, age, race, body weight, mild or moderate renal impairment, total bilirubin, aspartate aminotransferase, and alanine aminotransferase, were found to meaningfully explain variability in apparent clearance, suggesting that no dose adjustment is required based on these covariates. CONCLUSIONS: Results from these population pharmacokinetic analyses informed the prescribing guidance for patients with mild or moderate renal impairment in the US Prescribing Information and the European Summary of Product Characteristics for brigatinib. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-020-00929-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-08-20 2021 /pmc/articles/PMC7862202/ /pubmed/32816246 http://dx.doi.org/10.1007/s40262-020-00929-4 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Research Article Gupta, Neeraj Wang, Xiaohui Offman, Elliot Prohn, Marita Narasimhan, Narayana Kerstein, David Hanley, Michael J. Venkatakrishnan, Karthik Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title | Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title_full | Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title_fullStr | Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title_full_unstemmed | Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title_short | Population Pharmacokinetics of Brigatinib in Healthy Volunteers and Patients With Cancer |
title_sort | population pharmacokinetics of brigatinib in healthy volunteers and patients with cancer |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862202/ https://www.ncbi.nlm.nih.gov/pubmed/32816246 http://dx.doi.org/10.1007/s40262-020-00929-4 |
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