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Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors

Background: Atezolizumab has been studied in multiple indications for both pediatric and adult patient populations. Generally, clinical studies enrolling pediatric patients may not collect sufficient pharmacokinetic data to characterize the drug exposure and disposition because of operational, ethic...

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Autores principales: Huang, Weize, Stader, Felix, Chan, Phyllis, Shemesh, Colby S., Chen, Yuan, Gill, Katherine L., Jones, Hannah M., Li, Linzhong, Rossato, Gianluca, Wu, Benjamin, Jin, Jin Y., Chanu, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548535/
https://www.ncbi.nlm.nih.gov/pubmed/36225583
http://dx.doi.org/10.3389/fphar.2022.974423
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author Huang, Weize
Stader, Felix
Chan, Phyllis
Shemesh, Colby S.
Chen, Yuan
Gill, Katherine L.
Jones, Hannah M.
Li, Linzhong
Rossato, Gianluca
Wu, Benjamin
Jin, Jin Y.
Chanu, Pascal
author_facet Huang, Weize
Stader, Felix
Chan, Phyllis
Shemesh, Colby S.
Chen, Yuan
Gill, Katherine L.
Jones, Hannah M.
Li, Linzhong
Rossato, Gianluca
Wu, Benjamin
Jin, Jin Y.
Chanu, Pascal
author_sort Huang, Weize
collection PubMed
description Background: Atezolizumab has been studied in multiple indications for both pediatric and adult patient populations. Generally, clinical studies enrolling pediatric patients may not collect sufficient pharmacokinetic data to characterize the drug exposure and disposition because of operational, ethical, and logistical challenges including burden to children and blood sample volume limitations. Therefore, mechanistic modeling and simulation may serve as a tool to predict and understand the drug exposure in pediatric patients. Objective: To use mechanistic physiologically-based pharmacokinetic (PBPK) modeling to predict atezolizumab exposure at a dose of 15 mg/kg (max 1,200 mg) in pediatric patients to support dose rationalization and label recommendations. Methods: A minimal mechanistic PBPK model was used which incorporated age-dependent changes in physiology and biochemistry that are related to atezolizumab disposition such as endogenous IgG concentration and lymph flow. The PBPK model was developed using both in vitro data and clinically observed data in adults and was verified across dose levels obtained from a phase I and multiple phase III studies in both pediatric patients and adults. The verified model was then used to generate PK predictions for pediatric and adult subjects ranging from 2- to 29-year-old. Results: Individualized verification in children and in adults showed that the simulated concentrations of atezolizumab were comparable (76% within two-fold and 90% within three-fold, respectively) to the observed data with no bias for either over- or under-prediction. Applying the verified model, the predicted exposure metrics including C(min), C(max), and AUC(tau) were consistent between pediatric and adult patients with a geometric mean of pediatric exposure metrics between 0.8- to 1.25-fold of the values in adults. Conclusion: The results show that a 15 mg/kg (max 1,200 mg) atezolizumab dose administered intravenously in pediatric patients provides comparable atezolizumab exposure to a dose of 1,200 mg in adults. This suggests that a dose of 15 mg/kg will provide adequate and effective atezolizumab exposure in pediatric patients from 2- to 18-year-old.
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spelling pubmed-95485352022-10-11 Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors Huang, Weize Stader, Felix Chan, Phyllis Shemesh, Colby S. Chen, Yuan Gill, Katherine L. Jones, Hannah M. Li, Linzhong Rossato, Gianluca Wu, Benjamin Jin, Jin Y. Chanu, Pascal Front Pharmacol Pharmacology Background: Atezolizumab has been studied in multiple indications for both pediatric and adult patient populations. Generally, clinical studies enrolling pediatric patients may not collect sufficient pharmacokinetic data to characterize the drug exposure and disposition because of operational, ethical, and logistical challenges including burden to children and blood sample volume limitations. Therefore, mechanistic modeling and simulation may serve as a tool to predict and understand the drug exposure in pediatric patients. Objective: To use mechanistic physiologically-based pharmacokinetic (PBPK) modeling to predict atezolizumab exposure at a dose of 15 mg/kg (max 1,200 mg) in pediatric patients to support dose rationalization and label recommendations. Methods: A minimal mechanistic PBPK model was used which incorporated age-dependent changes in physiology and biochemistry that are related to atezolizumab disposition such as endogenous IgG concentration and lymph flow. The PBPK model was developed using both in vitro data and clinically observed data in adults and was verified across dose levels obtained from a phase I and multiple phase III studies in both pediatric patients and adults. The verified model was then used to generate PK predictions for pediatric and adult subjects ranging from 2- to 29-year-old. Results: Individualized verification in children and in adults showed that the simulated concentrations of atezolizumab were comparable (76% within two-fold and 90% within three-fold, respectively) to the observed data with no bias for either over- or under-prediction. Applying the verified model, the predicted exposure metrics including C(min), C(max), and AUC(tau) were consistent between pediatric and adult patients with a geometric mean of pediatric exposure metrics between 0.8- to 1.25-fold of the values in adults. Conclusion: The results show that a 15 mg/kg (max 1,200 mg) atezolizumab dose administered intravenously in pediatric patients provides comparable atezolizumab exposure to a dose of 1,200 mg in adults. This suggests that a dose of 15 mg/kg will provide adequate and effective atezolizumab exposure in pediatric patients from 2- to 18-year-old. Frontiers Media S.A. 2022-09-26 /pmc/articles/PMC9548535/ /pubmed/36225583 http://dx.doi.org/10.3389/fphar.2022.974423 Text en Copyright © 2022 Huang, Stader, Chan, Shemesh, Chen, Gill, Jones, Li, Rossato, Wu, Jin and Chanu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Huang, Weize
Stader, Felix
Chan, Phyllis
Shemesh, Colby S.
Chen, Yuan
Gill, Katherine L.
Jones, Hannah M.
Li, Linzhong
Rossato, Gianluca
Wu, Benjamin
Jin, Jin Y.
Chanu, Pascal
Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title_full Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title_fullStr Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title_full_unstemmed Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title_short Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
title_sort development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548535/
https://www.ncbi.nlm.nih.gov/pubmed/36225583
http://dx.doi.org/10.3389/fphar.2022.974423
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