Literature DB >> 21680888

Pharmacokinetic-pharmacodynamic modeling of biomarker response and tumor growth inhibition to an orally available heat shock protein 90 inhibitor in a human tumor xenograft mouse model.

Shinji Yamazaki1, Leslie Nguyen, Sylvia Vekich, Zhongzhou Shen, Min-Jean Yin, Pramod P Mehta, Pei-Pei Kung, Paolo Vicini.   

Abstract

PF04942847 [2-amino-4-{4-chloro-2-[2-(4-fluoro-1H-pyrazol-1-yl)ethoxy]-6-methylphenyl}-N-(2,2-difluoropropyl)-5,7-dihydro-6H-pyrrolo[3,4-d]pyrimidine-6-carboxamide] was identified as an orally available, ATP-competitive, small-molecule inhibitor of heat shock protein 90 (HSP90). The objectives of the present study were: 1) to characterize the pharmacokinetic-pharmacodynamic relationship of the plasma concentrations of PF04942847 to the inhibition of HSP90-dependent protein kinase, AKT, as a biomarker and 2) to characterize the relationship of AKT degradation to tumor growth inhibition as a pharmacological response (antitumor efficacy). Athymic mice implanted with MDA-MB-231 human breast cancer cells were treated with PF04942847 once daily at doses selected to encompass ED(50) values. Plasma concentrations of PF04942847 were adequately described by a two-compartment pharmacokinetic model. A time delay (hysteresis) was observed between the plasma concentrations of PF04942847 and AKT degradation; therefore, a link model was used to account for the hysteresis. The model reasonably fit the time courses of AKT degradation with the estimated EC(50) of 18 ng/ml. For tumor growth inhibition, the signal transduction model reasonably fit the inhibition of individual tumor growth curves with the estimated EC(50) of 7.3 ng/ml. Thus, the EC(50) for AKT degradation approximately corresponded to the EC(50) to EC(80) for tumor growth inhibition, suggesting that 50% AKT degradation was required for significant antitumor efficacy (50-80%). The consistent relationship between AKT degradation and antitumor efficacy was also demonstrated by applying an integrated signal transduction model for linking AKT degradation to tumor growth inhibition. The present results will be helpful in determining the appropriate dosing regimen and guiding dose escalation to achieve efficacious systemic exposure in the clinic.

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Year:  2011        PMID: 21680888     DOI: 10.1124/jpet.111.181339

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  7 in total

1.  Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis.

Authors:  Maria Luisa Sardu; Italo Poggesi; Giuseppe De Nicolao
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-07-26       Impact factor: 2.745

2.  Logic-Based and Cellular Pharmacodynamic Modeling of Bortezomib Responses in U266 Human Myeloma Cells.

Authors:  Vaishali L Chudasama; Meric A Ovacik; Darrell R Abernethy; Donald E Mager
Journal:  J Pharmacol Exp Ther       Date:  2015-07-10       Impact factor: 4.030

3.  Pharmacokinetic-pharmacodynamic modeling of the anticancer effect of erlotinib in a human non-small cell lung cancer xenograft mouse model.

Authors:  Qiong Wu; Meng-yao Li; Han-qing Li; Chen-hui Deng; Liang Li; Tian-yan Zhou; Wei Lu
Journal:  Acta Pharmacol Sin       Date:  2013-10-07       Impact factor: 6.150

4.  Translational pharmacokinetic-pharmacodynamic modeling from nonclinical to clinical development: a case study of anticancer drug, crizotinib.

Authors:  Shinji Yamazaki
Journal:  AAPS J       Date:  2012-12-19       Impact factor: 4.009

5.  Pharmacokinetic-pharmacodynamic modeling of the antitumor effect of TM208 and EGFR-TKI resistance in human breast cancer xenograft mice.

Authors:  Xi-Wei Ji; Shuang-Min Ji; Run-Tao Li; Ke-Hua Wu; Xiao Zhu; Wei Lu; Tian-Yan Zhou
Journal:  Acta Pharmacol Sin       Date:  2016-05-02       Impact factor: 6.150

6.  Pharmacodynamic modelling of biomarker data in oncology.

Authors:  Robert C Jackson
Journal:  ISRN Pharmacol       Date:  2012-02-16

7.  Physiologically based pharmacokinetic and pharmacodynamic modeling of an antagonist (SM-406/AT-406) of multiple inhibitor of apoptosis proteins (IAPs) in a mouse xenograft model of human breast cancer.

Authors:  Tao Zhang; Yanyan Li; Peng Zou; Jing-yu Yu; Donna McEachern; Shaomeng Wang; Duxin Sun
Journal:  Biopharm Drug Dispos       Date:  2013-08-02       Impact factor: 1.627

  7 in total

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