Cargando…

Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma

Pembrolizumab is a potent immune‐modulating antibody active in advanced melanoma, as demonstrated in the KEYNOTE‐001, ‐002, and ‐006 studies. Longitudinal tumor size modeling was pursued to quantify exposure‐response relationships for efficacy. A mixture model was first developed based on an initial...

Descripción completa

Detalles Bibliográficos
Autores principales: Chatterjee, MS, Elassaiss‐Schaap, J, Lindauer, A, Turner, DC, Sostelly, A, Freshwater, T, Mayawala, K, Ahamadi, M, Stone, JA, de Greef, R, Kondic, AG, de Alwis, DP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270297/
https://www.ncbi.nlm.nih.gov/pubmed/27896938
http://dx.doi.org/10.1002/psp4.12140
_version_ 1782501162899996672
author Chatterjee, MS
Elassaiss‐Schaap, J
Lindauer, A
Turner, DC
Sostelly, A
Freshwater, T
Mayawala, K
Ahamadi, M
Stone, JA
de Greef, R
Kondic, AG
de Alwis, DP
author_facet Chatterjee, MS
Elassaiss‐Schaap, J
Lindauer, A
Turner, DC
Sostelly, A
Freshwater, T
Mayawala, K
Ahamadi, M
Stone, JA
de Greef, R
Kondic, AG
de Alwis, DP
author_sort Chatterjee, MS
collection PubMed
description Pembrolizumab is a potent immune‐modulating antibody active in advanced melanoma, as demonstrated in the KEYNOTE‐001, ‐002, and ‐006 studies. Longitudinal tumor size modeling was pursued to quantify exposure‐response relationships for efficacy. A mixture model was first developed based on an initial dataset from KEYNOTE‐001 to describe four patterns of tumor growth and shrinkage. For subsequent analyses, tumor size measurements were adequately described by a single consolidated model structure that captured continuous tumor size with a combination of growth and regression terms, as well as a fraction of tumor responsive to therapy. This revised model structure provided a framework to efficiently evaluate the impact of covariates and pembrolizumab exposure. Both models indicated that exposure to the drug was not a significant predictor of tumor size response, demonstrating that the dose range evaluated (2 and 10 mg/kg every 3 weeks) is likely near or at the plateau of maximal response.
format Online
Article
Text
id pubmed-5270297
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-52702972017-02-01 Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma Chatterjee, MS Elassaiss‐Schaap, J Lindauer, A Turner, DC Sostelly, A Freshwater, T Mayawala, K Ahamadi, M Stone, JA de Greef, R Kondic, AG de Alwis, DP CPT Pharmacometrics Syst Pharmacol Original Articles Pembrolizumab is a potent immune‐modulating antibody active in advanced melanoma, as demonstrated in the KEYNOTE‐001, ‐002, and ‐006 studies. Longitudinal tumor size modeling was pursued to quantify exposure‐response relationships for efficacy. A mixture model was first developed based on an initial dataset from KEYNOTE‐001 to describe four patterns of tumor growth and shrinkage. For subsequent analyses, tumor size measurements were adequately described by a single consolidated model structure that captured continuous tumor size with a combination of growth and regression terms, as well as a fraction of tumor responsive to therapy. This revised model structure provided a framework to efficiently evaluate the impact of covariates and pembrolizumab exposure. Both models indicated that exposure to the drug was not a significant predictor of tumor size response, demonstrating that the dose range evaluated (2 and 10 mg/kg every 3 weeks) is likely near or at the plateau of maximal response. John Wiley and Sons Inc. 2016-11-29 2017-01 /pmc/articles/PMC5270297/ /pubmed/27896938 http://dx.doi.org/10.1002/psp4.12140 Text en © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Chatterjee, MS
Elassaiss‐Schaap, J
Lindauer, A
Turner, DC
Sostelly, A
Freshwater, T
Mayawala, K
Ahamadi, M
Stone, JA
de Greef, R
Kondic, AG
de Alwis, DP
Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title_full Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title_fullStr Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title_full_unstemmed Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title_short Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab‐Treated Advanced Melanoma
title_sort population pharmacokinetic/pharmacodynamic modeling of tumor size dynamics in pembrolizumab‐treated advanced melanoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270297/
https://www.ncbi.nlm.nih.gov/pubmed/27896938
http://dx.doi.org/10.1002/psp4.12140
work_keys_str_mv AT chatterjeems populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT elassaissschaapj populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT lindauera populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT turnerdc populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT sostellya populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT freshwatert populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT mayawalak populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT ahamadim populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT stoneja populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT degreefr populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT kondicag populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma
AT dealwisdp populationpharmacokineticpharmacodynamicmodelingoftumorsizedynamicsinpembrolizumabtreatedadvancedmelanoma