Literature DB >> 20376000

Pharmacokinetic/pharmacodynamic modeling of biomarker response to sunitinib in healthy volunteers.

A Lindauer1, P Di Gion, F Kanefendt, D Tomalik-Scharte, M Kinzig, M Rodamer, F Dodos, F Sörgel, U Fuhr, U Jaehde.   

Abstract

A pharmacokinetic/pharmacodynamic (PK/PD) study of the tyrosine kinase inhibitor sunitinib was conducted in 12 healthy volunteers using blood pressure and circulating biomarker levels as PD markers. Blood pressure was measured, and plasma concentration-time courses of sunitinib, its major metabolite SU12662, vascular endothelial growth factors VEGF-A and VEGF-C, and soluble VEGF receptor-2 (sVEGFR-2) were studied in healthy subjects receiving 50 mg of sunitinib orally for 3-5 consecutive days. Using NONMEM, PK/PD models were established that predicted changes (expressed as multiples relative to baseline values) in systolic blood pressure, diastolic blood pressure, VEGF-A level, and sVEGFR-2 level, of 1.10, 1.18, 2.24, and 0.76, respectively, for a typical subject after 4 weeks of treatment with 50 mg/day. Simulated blood pressure-time courses compare excellently with published data in patients, whereas changes in circulating biomarkers were greater in patients than simulations suggest for healthy subjects. In conclusion, the tumor-independent pharmacological response to sunitinib could be described by PK/PD models, thereby facilitating model-based investigations with antiangiogenic drugs, using blood pressure and circulating proteins as biomarkers.

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Year:  2010        PMID: 20376000     DOI: 10.1038/clpt.2010.20

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  26 in total

1.  Integrated semi-physiological pharmacokinetic model for both sunitinib and its active metabolite SU12662.

Authors:  Huixin Yu; Neeltje Steeghs; Jacqueline S L Kloth; Djoeke de Wit; J G Coen van Hasselt; Nielka P van Erp; Jos H Beijnen; Jan H M Schellens; Ron H J Mathijssen; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2015-05       Impact factor: 4.335

Review 2.  Circulating biomarkers in advanced renal cell carcinoma: clinical applications.

Authors:  Maria Hernandez-Yanez; John V Heymach; Amado J Zurita
Journal:  Curr Oncol Rep       Date:  2012-06       Impact factor: 5.075

3.  Peering into the aftermath: The inhospitable host?

Authors:  Robert S Kerbel; John M L Ebos
Journal:  Nat Med       Date:  2010-10       Impact factor: 53.440

4.  Association of VEGF and VEGFR2 single nucleotide polymorphisms with hypertension and clinical outcome in metastatic clear cell renal cell carcinoma patients treated with sunitinib.

Authors:  Jenny J Kim; Susan A J Vaziri; Brian I Rini; Paul Elson; Jorge A Garcia; Robert Wirka; Robert Dreicer; Mahrukh K Ganapathi; Ram Ganapathi
Journal:  Cancer       Date:  2011-08-31       Impact factor: 6.860

5.  Population pharmacokinetic-pharmacodynamic modelling of 24-h diastolic ambulatory blood pressure changes mediated by axitinib in patients with metastatic renal cell carcinoma.

Authors:  Ying Chen; Brian I Rini; Angel H Bair; Ganesh M Mugundu; Yazdi K Pithavala
Journal:  Clin Pharmacokinet       Date:  2015-04       Impact factor: 6.447

Review 6.  Optimizing drug development of anti-cancer drugs in children using modelling and simulation.

Authors:  Johan G C van Hasselt; Natasha K A van Eijkelenburg; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2013-07       Impact factor: 4.335

7.  Quantifying the relationship between inhibition of VEGF receptor 2, drug-induced blood pressure elevation and hypertension.

Authors:  Teresa Collins; Kelly Gray; Michal Bista; Matt Skinner; Christopher Hardy; Haiyun Wang; Jerome T Mettetal; Alexander R Harmer
Journal:  Br J Pharmacol       Date:  2018-01-18       Impact factor: 8.739

8.  Model-based treatment optimization of a novel VEGFR inhibitor.

Authors:  Ron J Keizer; Anubha Gupta; Robert Shumaker; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2012-08       Impact factor: 4.335

9.  Clinical pharmacokinetics of tyrosine kinase inhibitors: focus on pyrimidines, pyridines and pyrroles.

Authors:  Paola Di Gion; Friederike Kanefendt; Andreas Lindauer; Matthias Scheffler; Oxana Doroshyenko; Uwe Fuhr; Jürgen Wolf; Ulrich Jaehde
Journal:  Clin Pharmacokinet       Date:  2011-09       Impact factor: 6.447

10.  Tumor-Independent Host Secretomes Induced By Angiogenesis and Immune-Checkpoint Inhibitors.

Authors:  Michalis Mastri; Christina R Lee; Amanda Tracz; Robert S Kerbel; Melissa Dolan; Yuhao Shi; John M L Ebos
Journal:  Mol Cancer Ther       Date:  2018-04-25       Impact factor: 6.261

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