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Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker

Hepatocellular carcinoma (HCC) is third in cancer‐related causes of death worldwide and its treatment is a significant unmet medical need. Sunitinib is a selective tyrosine kinase inhibitor of the angiogenic biomarker: soluble vascular endothelial growth factor receptor‐2 (sVEGFR(2)). Sunitinib fail...

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Autores principales: Ait‐Oudhia, S, Mager, DE, Pokuri, V, Tomaszewski, G, Groman, A, Zagst, P, Fetterly, G, Iyer, R
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/PMC5131886/
https://www.ncbi.nlm.nih.gov/pubmed/27300260
http://dx.doi.org/10.1002/psp4.12084
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author Ait‐Oudhia, S
Mager, DE
Pokuri, V
Tomaszewski, G
Groman, A
Zagst, P
Fetterly, G
Iyer, R
author_facet Ait‐Oudhia, S
Mager, DE
Pokuri, V
Tomaszewski, G
Groman, A
Zagst, P
Fetterly, G
Iyer, R
author_sort Ait‐Oudhia, S
collection PubMed
description Hepatocellular carcinoma (HCC) is third in cancer‐related causes of death worldwide and its treatment is a significant unmet medical need. Sunitinib is a selective tyrosine kinase inhibitor of the angiogenic biomarker: soluble vascular endothelial growth factor receptor‐2 (sVEGFR(2)). Sunitinib failed its primary overall survival endpoint in patients with advanced HCC in a phase III trial compared to sorafenib. In the present study, pharmacokinetic‐pharmacodynamic modeling was used to link drug‐exposure to tumor‐growth‐inhibition (TGI) and time‐to‐tumor progression (TTP) through sVEGFR(2) dynamics. The results suggest that 1) active drug concentration (i.e., sunitinib and its metabolite) inhibits the release of sVEGFR(2) and that such inhibition is associated with TGI, and 2) daily sVEGFR(2) exposure is likely a reliable predictor for the TTP in HCC patients. Moreover, the model quantitatively links the dynamics of an angiogenesis biomarker to TTP and accurately predicts observed literature‐reported results of placebo treatment.
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spelling pubmed-51318862016-12-15 Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker Ait‐Oudhia, S Mager, DE Pokuri, V Tomaszewski, G Groman, A Zagst, P Fetterly, G Iyer, R CPT Pharmacometrics Syst Pharmacol Original Articles Hepatocellular carcinoma (HCC) is third in cancer‐related causes of death worldwide and its treatment is a significant unmet medical need. Sunitinib is a selective tyrosine kinase inhibitor of the angiogenic biomarker: soluble vascular endothelial growth factor receptor‐2 (sVEGFR(2)). Sunitinib failed its primary overall survival endpoint in patients with advanced HCC in a phase III trial compared to sorafenib. In the present study, pharmacokinetic‐pharmacodynamic modeling was used to link drug‐exposure to tumor‐growth‐inhibition (TGI) and time‐to‐tumor progression (TTP) through sVEGFR(2) dynamics. The results suggest that 1) active drug concentration (i.e., sunitinib and its metabolite) inhibits the release of sVEGFR(2) and that such inhibition is associated with TGI, and 2) daily sVEGFR(2) exposure is likely a reliable predictor for the TTP in HCC patients. Moreover, the model quantitatively links the dynamics of an angiogenesis biomarker to TTP and accurately predicts observed literature‐reported results of placebo treatment. John Wiley and Sons Inc. 2016-06-08 2016-06 /pmc/articles/PMC5131886/ /pubmed/27300260 http://dx.doi.org/10.1002/psp4.12084 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
Ait‐Oudhia, S
Mager, DE
Pokuri, V
Tomaszewski, G
Groman, A
Zagst, P
Fetterly, G
Iyer, R
Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title_full Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title_fullStr Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title_full_unstemmed Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title_short Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker
title_sort bridging sunitinib exposure to time‐to‐tumor progression in hepatocellular carcinoma patients with mathematical modeling of an angiogenic biomarker
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131886/
https://www.ncbi.nlm.nih.gov/pubmed/27300260
http://dx.doi.org/10.1002/psp4.12084
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