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Application of PBPK modeling and virtual clinical study approaches to predict the outcomes of CYP2D6 genotype-guided dosing of tamoxifen

Cited 7 time in Web of Science Cited 11 time in Scopus
Authors

Nakamura, Toshimichi; Toshimoto, Kota; Lee, Wooin; Imamura, Chiyo K.; Tanigawara, Yusuke; Sugiyama, Yuichi

Issue Date
2018-07
Publisher
Nature Publishing Group
Citation
CPT: Pharmacometrics and Systems Pharmacology, Vol.7 No.7, pp.474-482
Abstract
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.
ISSN
2163-8306
Language
English
URI
https://hdl.handle.net/10371/149361
DOI
https://doi.org/10.1002/psp4.12307
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