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Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen

The Tamoxifen Response by CYP2D6 Genotype‐based Treatment‐1 (TARGET‐1) study (n = 180) was conducted from 2012–2017 in Japan to determine the efficacy of tamoxifen dosing guided by cytochrome P450 2D6 (CYP2D6) genotypes. To predict its outcomes prior to completion, we constructed the comprehensive p...

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Autores principales: Nakamura, Toshimichi, Toshimoto, Kota, Lee, Wooin, Imamura, Chiyo K., Tanigawara, Yusuke, Sugiyama, Yuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063740/
https://www.ncbi.nlm.nih.gov/pubmed/29920987
http://dx.doi.org/10.1002/psp4.12307
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author Nakamura, Toshimichi
Toshimoto, Kota
Lee, Wooin
Imamura, Chiyo K.
Tanigawara, Yusuke
Sugiyama, Yuichi
author_facet Nakamura, Toshimichi
Toshimoto, Kota
Lee, Wooin
Imamura, Chiyo K.
Tanigawara, Yusuke
Sugiyama, Yuichi
author_sort Nakamura, Toshimichi
collection PubMed
description The Tamoxifen Response by CYP2D6 Genotype‐based Treatment‐1 (TARGET‐1) study (n = 180) was conducted from 2012–2017 in Japan to determine the efficacy of tamoxifen dosing guided by cytochrome P450 2D6 (CYP2D6) genotypes. To predict its outcomes prior to completion, we constructed the comprehensive physiologically based pharmacokinetic (PBPK) models of tamoxifen and its metabolites and performed virtual TARGET‐1 studies. Our analyses indicated that the expected probability to achieve the end point (demonstrating the superior efficacy of the escalated tamoxifen dose over the standard dose in patients carrying CYP2D6 variants) was 0.469 on average. As the population size of this virtual clinical study (VCS) increased, the expected probability was substantially increased (0.674 for n = 260). Our analyses also informed that the probability to achieve the end point in the TARGET‐1 study was negatively impacted by a large variability in endoxifen levels. Our current efforts demonstrate the promising utility of the PBPK modeling and VCS approaches in prospectively designing effective clinical trials.
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spelling pubmed-60637402018-07-31 Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen Nakamura, Toshimichi Toshimoto, Kota Lee, Wooin Imamura, Chiyo K. Tanigawara, Yusuke Sugiyama, Yuichi CPT Pharmacometrics Syst Pharmacol Research The Tamoxifen Response by CYP2D6 Genotype‐based Treatment‐1 (TARGET‐1) study (n = 180) was conducted from 2012–2017 in Japan to determine the efficacy of tamoxifen dosing guided by cytochrome P450 2D6 (CYP2D6) genotypes. To predict its outcomes prior to completion, we constructed the comprehensive physiologically based pharmacokinetic (PBPK) models of tamoxifen and its metabolites and performed virtual TARGET‐1 studies. Our analyses indicated that the expected probability to achieve the end point (demonstrating the superior efficacy of the escalated tamoxifen dose over the standard dose in patients carrying CYP2D6 variants) was 0.469 on average. As the population size of this virtual clinical study (VCS) increased, the expected probability was substantially increased (0.674 for n = 260). Our analyses also informed that the probability to achieve the end point in the TARGET‐1 study was negatively impacted by a large variability in endoxifen levels. Our current efforts demonstrate the promising utility of the PBPK modeling and VCS approaches in prospectively designing effective clinical trials. John Wiley and Sons Inc. 2018-06-19 2018-07 /pmc/articles/PMC6063740/ /pubmed/29920987 http://dx.doi.org/10.1002/psp4.12307 Text en © 2018 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 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
Nakamura, Toshimichi
Toshimoto, Kota
Lee, Wooin
Imamura, Chiyo K.
Tanigawara, Yusuke
Sugiyama, Yuichi
Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title_full Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title_fullStr Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title_full_unstemmed Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title_short Application of PBPK Modeling and Virtual Clinical Study Approaches to Predict the Outcomes of CYP2D6 Genotype‐Guided Dosing of Tamoxifen
title_sort application of pbpk modeling and virtual clinical study approaches to predict the outcomes of cyp2d6 genotype‐guided dosing of tamoxifen
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063740/
https://www.ncbi.nlm.nih.gov/pubmed/29920987
http://dx.doi.org/10.1002/psp4.12307
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