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Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases
PURPOSE: This study evaluated the central nervous system (CNS) pharmacokinetics and target engagement of lapatinib, neratinib, and tucatinib in patients with cancer, using a physiologically based pharmacokinetic (PBPK) modeling approach. EXPERIMENTAL DESIGN: Drug-specific parameters for in vitro met...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357092/ https://www.ncbi.nlm.nih.gov/pubmed/35727144 http://dx.doi.org/10.1158/1078-0432.CCR-22-0405 |
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author | Li, Jing Jiang, Jun Bao, Xun Kumar, Vineet Alley, Stephen C. Peterson, Scott Lee, Anthony J. |
author_facet | Li, Jing Jiang, Jun Bao, Xun Kumar, Vineet Alley, Stephen C. Peterson, Scott Lee, Anthony J. |
author_sort | Li, Jing |
collection | PubMed |
description | PURPOSE: This study evaluated the central nervous system (CNS) pharmacokinetics and target engagement of lapatinib, neratinib, and tucatinib in patients with cancer, using a physiologically based pharmacokinetic (PBPK) modeling approach. EXPERIMENTAL DESIGN: Drug-specific parameters for in vitro metabolism, binding to plasma proteins and brain tissues, transcellular passive permeability, and interactions with efflux transporters were determined. Whole-body PBPK models integrated with a 4-compartment permeability-limited brain model was developed and verified for predicting plasma and CNS pharmacokinetics. Target engagement ratio (TER), defined as the ratio of the average steady-state unbound drug brain concentration (C(ss,ave,br)) to in vitro IC(50) for HER2 inhibition, was used as a predictor of intracranial efficacy. RESULTS: PBPK models predicted that following 1 cycle of standard dosing, tucatinib and lapatinib achieved similar C(ss,ave,br) (14.5 vs. 16.8 nmol/L), while neratinib C(ss,ave,br) (0.68 nmol/L) was 20-fold lower. Tucatinib and neratinib were equally potent for HER2 inhibition (IC(50), 6.9 vs. 5.6 nmol/L), while lapatinib was less potent (IC(50), 109 nmol/L). The model-predicted population mean TER in the human normal brain was 2.1 for tucatinib, but < 0.20 for lapatinib and neratinib. CONCLUSIONS: The PBPK modeling suggests that tucatinib induces sufficient HER2 inhibition (TER > 2.0) in not only brain metastases with a disrupted blood–brain barrier (BBB), but also micrometastases where the BBB largely remains intact. These findings, in line with available clinical pharmacokinetics and efficacy data, support the therapeutic value of tucatinib for treatment of brain metastases and warrant further clinical investigation for the prevention of brain metastases in patients with HER2-positive breast cancer. |
format | Online Article Text |
id | pubmed-9357092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-93570922023-01-05 Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases Li, Jing Jiang, Jun Bao, Xun Kumar, Vineet Alley, Stephen C. Peterson, Scott Lee, Anthony J. Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: This study evaluated the central nervous system (CNS) pharmacokinetics and target engagement of lapatinib, neratinib, and tucatinib in patients with cancer, using a physiologically based pharmacokinetic (PBPK) modeling approach. EXPERIMENTAL DESIGN: Drug-specific parameters for in vitro metabolism, binding to plasma proteins and brain tissues, transcellular passive permeability, and interactions with efflux transporters were determined. Whole-body PBPK models integrated with a 4-compartment permeability-limited brain model was developed and verified for predicting plasma and CNS pharmacokinetics. Target engagement ratio (TER), defined as the ratio of the average steady-state unbound drug brain concentration (C(ss,ave,br)) to in vitro IC(50) for HER2 inhibition, was used as a predictor of intracranial efficacy. RESULTS: PBPK models predicted that following 1 cycle of standard dosing, tucatinib and lapatinib achieved similar C(ss,ave,br) (14.5 vs. 16.8 nmol/L), while neratinib C(ss,ave,br) (0.68 nmol/L) was 20-fold lower. Tucatinib and neratinib were equally potent for HER2 inhibition (IC(50), 6.9 vs. 5.6 nmol/L), while lapatinib was less potent (IC(50), 109 nmol/L). The model-predicted population mean TER in the human normal brain was 2.1 for tucatinib, but < 0.20 for lapatinib and neratinib. CONCLUSIONS: The PBPK modeling suggests that tucatinib induces sufficient HER2 inhibition (TER > 2.0) in not only brain metastases with a disrupted blood–brain barrier (BBB), but also micrometastases where the BBB largely remains intact. These findings, in line with available clinical pharmacokinetics and efficacy data, support the therapeutic value of tucatinib for treatment of brain metastases and warrant further clinical investigation for the prevention of brain metastases in patients with HER2-positive breast cancer. American Association for Cancer Research 2022-08-02 2022-05-18 /pmc/articles/PMC9357092/ /pubmed/35727144 http://dx.doi.org/10.1158/1078-0432.CCR-22-0405 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Translational Cancer Mechanisms and Therapy Li, Jing Jiang, Jun Bao, Xun Kumar, Vineet Alley, Stephen C. Peterson, Scott Lee, Anthony J. Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title | Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title_full | Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title_fullStr | Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title_full_unstemmed | Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title_short | Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases |
title_sort | mechanistic modeling of central nervous system pharmacokinetics and target engagement of her2 tyrosine kinase inhibitors to inform treatment of breast cancer brain metastases |
topic | Translational Cancer Mechanisms and Therapy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357092/ https://www.ncbi.nlm.nih.gov/pubmed/35727144 http://dx.doi.org/10.1158/1078-0432.CCR-22-0405 |
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