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Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma
A two‐analyte integrated population pharmacokinetic (PK) model that simultaneously describes concentrations of antibody‐conjugated monomethyl auristatin E (acMMAE) and unconjugated MMAE following repeated administrations of polatuzumab vedotin (pola) was developed based on data from four clinical st...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966185/ https://www.ncbi.nlm.nih.gov/pubmed/31749251 http://dx.doi.org/10.1002/psp4.12482 |
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author | Lu, Dan Lu, Tong Gibiansky, Leonid Li, Xiaobin Li, Chunze Agarwal, Priya Shemesh, Colby S. Shi, Rong Dere, Randall C. Hirata, Jamie Miles, Dale Chanu, Pascal Girish, Sandhya Jin, Jin Yan |
author_facet | Lu, Dan Lu, Tong Gibiansky, Leonid Li, Xiaobin Li, Chunze Agarwal, Priya Shemesh, Colby S. Shi, Rong Dere, Randall C. Hirata, Jamie Miles, Dale Chanu, Pascal Girish, Sandhya Jin, Jin Yan |
author_sort | Lu, Dan |
collection | PubMed |
description | A two‐analyte integrated population pharmacokinetic (PK) model that simultaneously describes concentrations of antibody‐conjugated monomethyl auristatin E (acMMAE) and unconjugated MMAE following repeated administrations of polatuzumab vedotin (pola) was developed based on data from four clinical studies of pola in patients with non‐Hodgkin lymphoma. A two‐compartment model with a nonspecific, time‐dependent linear clearance, a linear time‐dependent exponentially declining clearance, and a Michaelis–Menten clearance provided a good fit of the acMMAE plasma PK profiles. All three acMMAE elimination pathways contributed to the input to the central compartment of unconjugated MMAE, which was also described by a two‐compartment model. Population PK parameters, covariate effects, and interindividual variability of model parameters were estimated. The impact of clinically relevant covariates on PK exposures of each analyte were quantified and reported to support key label claims. |
format | Online Article Text |
id | pubmed-6966185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69661852020-01-27 Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma Lu, Dan Lu, Tong Gibiansky, Leonid Li, Xiaobin Li, Chunze Agarwal, Priya Shemesh, Colby S. Shi, Rong Dere, Randall C. Hirata, Jamie Miles, Dale Chanu, Pascal Girish, Sandhya Jin, Jin Yan CPT Pharmacometrics Syst Pharmacol Research A two‐analyte integrated population pharmacokinetic (PK) model that simultaneously describes concentrations of antibody‐conjugated monomethyl auristatin E (acMMAE) and unconjugated MMAE following repeated administrations of polatuzumab vedotin (pola) was developed based on data from four clinical studies of pola in patients with non‐Hodgkin lymphoma. A two‐compartment model with a nonspecific, time‐dependent linear clearance, a linear time‐dependent exponentially declining clearance, and a Michaelis–Menten clearance provided a good fit of the acMMAE plasma PK profiles. All three acMMAE elimination pathways contributed to the input to the central compartment of unconjugated MMAE, which was also described by a two‐compartment model. Population PK parameters, covariate effects, and interindividual variability of model parameters were estimated. The impact of clinically relevant covariates on PK exposures of each analyte were quantified and reported to support key label claims. John Wiley and Sons Inc. 2019-12-23 2020-01 /pmc/articles/PMC6966185/ /pubmed/31749251 http://dx.doi.org/10.1002/psp4.12482 Text en © 2019 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Lu, Dan Lu, Tong Gibiansky, Leonid Li, Xiaobin Li, Chunze Agarwal, Priya Shemesh, Colby S. Shi, Rong Dere, Randall C. Hirata, Jamie Miles, Dale Chanu, Pascal Girish, Sandhya Jin, Jin Yan Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title | Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title_full | Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title_fullStr | Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title_full_unstemmed | Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title_short | Integrated Two‐Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non‐Hodgkin Lymphoma |
title_sort | integrated two‐analyte population pharmacokinetic model of polatuzumab vedotin in patients with non‐hodgkin lymphoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966185/ https://www.ncbi.nlm.nih.gov/pubmed/31749251 http://dx.doi.org/10.1002/psp4.12482 |
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