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Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies

Brentuximab vedotin, a CD30‐directed antibody‐drug conjugate (ADC), is approved for treating certain patients with CD30‐expressing hematologic malignancies. Its primary mechanism of action is the targeted delivery of a microtubule‐disrupting agent, monomethyl auristatin E (MMAE), to CD30‐expressing...

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Autores principales: Li, Hong, Han, Tae H., Hunder, Naomi N., Jang, Graham, Zhao, Baiteng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574006/
https://www.ncbi.nlm.nih.gov/pubmed/28513851
http://dx.doi.org/10.1002/jcph.920
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author Li, Hong
Han, Tae H.
Hunder, Naomi N.
Jang, Graham
Zhao, Baiteng
author_facet Li, Hong
Han, Tae H.
Hunder, Naomi N.
Jang, Graham
Zhao, Baiteng
author_sort Li, Hong
collection PubMed
description Brentuximab vedotin, a CD30‐directed antibody‐drug conjugate (ADC), is approved for treating certain patients with CD30‐expressing hematologic malignancies. Its primary mechanism of action is the targeted delivery of a microtubule‐disrupting agent, monomethyl auristatin E (MMAE), to CD30‐expressing cells. A population pharmacokinetic (PopPK) analysis was conducted to characterize the PK of ADC and unconjugated MMAE in patients with CD30‐expressing hematologic malignancies by compartmental analysis and to evaluate the effects of covariates on PK of the ADC. A nonlinear mixed‐effects modeling approach was used to evaluate data from 314 patients in 5 clinical studies. ADC PK was described by a linear, 3‐compartment model with first‐order elimination. MMAE PK was described by a semimechanistic, linear, 2‐compartment model with first‐order elimination. The estimated typical values for a 75‐kg male patient were 1.56 L/d and 4.29 L for ADC systemic clearance (CL) and volume of central compartment (V1), respectively, with weight effect exponents of 0.698 and 0.503, respectively. Typical V1 in 75‐kg females was 87% of that in males, with no impact on systemic ADC exposure. Typical values of MMAE clearance (CL(M)) and volume of central compartment (V4) were 55.7 L/d and 79.8 L, respectively, with weight effect exponents fixed to 0.75 and 1.0, respectively. This is the first PopPK model of brentuximab vedotin to semimechanistically link the PK of ADC and that of the unconjugated small molecule MMAE. Both ADC and MMAE PK data were adequately described by the final integrated model, which supports weight‐based dosing of brentuximab vedotin in adult patients with CD30‐expressing hematologic malignancies.
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spelling pubmed-55740062017-09-15 Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies Li, Hong Han, Tae H. Hunder, Naomi N. Jang, Graham Zhao, Baiteng J Clin Pharmacol Pharmacometrics Brentuximab vedotin, a CD30‐directed antibody‐drug conjugate (ADC), is approved for treating certain patients with CD30‐expressing hematologic malignancies. Its primary mechanism of action is the targeted delivery of a microtubule‐disrupting agent, monomethyl auristatin E (MMAE), to CD30‐expressing cells. A population pharmacokinetic (PopPK) analysis was conducted to characterize the PK of ADC and unconjugated MMAE in patients with CD30‐expressing hematologic malignancies by compartmental analysis and to evaluate the effects of covariates on PK of the ADC. A nonlinear mixed‐effects modeling approach was used to evaluate data from 314 patients in 5 clinical studies. ADC PK was described by a linear, 3‐compartment model with first‐order elimination. MMAE PK was described by a semimechanistic, linear, 2‐compartment model with first‐order elimination. The estimated typical values for a 75‐kg male patient were 1.56 L/d and 4.29 L for ADC systemic clearance (CL) and volume of central compartment (V1), respectively, with weight effect exponents of 0.698 and 0.503, respectively. Typical V1 in 75‐kg females was 87% of that in males, with no impact on systemic ADC exposure. Typical values of MMAE clearance (CL(M)) and volume of central compartment (V4) were 55.7 L/d and 79.8 L, respectively, with weight effect exponents fixed to 0.75 and 1.0, respectively. This is the first PopPK model of brentuximab vedotin to semimechanistically link the PK of ADC and that of the unconjugated small molecule MMAE. Both ADC and MMAE PK data were adequately described by the final integrated model, which supports weight‐based dosing of brentuximab vedotin in adult patients with CD30‐expressing hematologic malignancies. John Wiley and Sons Inc. 2017-05-17 2017-09 /pmc/articles/PMC5574006/ /pubmed/28513851 http://dx.doi.org/10.1002/jcph.920 Text en © 2017, The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (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 Pharmacometrics
Li, Hong
Han, Tae H.
Hunder, Naomi N.
Jang, Graham
Zhao, Baiteng
Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title_full Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title_fullStr Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title_full_unstemmed Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title_short Population Pharmacokinetics of Brentuximab Vedotin in Patients With CD30‐Expressing Hematologic Malignancies
title_sort population pharmacokinetics of brentuximab vedotin in patients with cd30‐expressing hematologic malignancies
topic Pharmacometrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574006/
https://www.ncbi.nlm.nih.gov/pubmed/28513851
http://dx.doi.org/10.1002/jcph.920
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