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Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer
Sorafenib is an oral multikinase inhibitor approved for the treatment of differentiated thyroid carcinoma (DTC), renal cell carcinoma, and hepatocellular carcinoma. In the phase III DECISION trial in patients with DTC, sorafenib exposure and the incidence of some adverse events (AEs) were higher tha...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742948/ https://www.ncbi.nlm.nih.gov/pubmed/30920122 http://dx.doi.org/10.1111/cts.12634 |
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author | Grevel, Joachim Jentsch, Garrit Austin, Rupert Prins, Nicolaas H. Lettieri, John Mitchell, David Huang, Funan Brose, Marcia S. Schlumberger, Martin Meinhardt, Gerold Peña, Carol E. A. Ploeger, Bart A. |
author_facet | Grevel, Joachim Jentsch, Garrit Austin, Rupert Prins, Nicolaas H. Lettieri, John Mitchell, David Huang, Funan Brose, Marcia S. Schlumberger, Martin Meinhardt, Gerold Peña, Carol E. A. Ploeger, Bart A. |
author_sort | Grevel, Joachim |
collection | PubMed |
description | Sorafenib is an oral multikinase inhibitor approved for the treatment of differentiated thyroid carcinoma (DTC), renal cell carcinoma, and hepatocellular carcinoma. In the phase III DECISION trial in patients with DTC, sorafenib exposure and the incidence of some adverse events (AEs) were higher than in previous trials; therefore, we analyzed exposure–response relationships, including progression‐free survival (PFS) and selected AEs in patients with DTC. A novel, stratified prediction‐corrected visual predictive check (pc‐VPC) was developed to show robustness of the exposure–response relationships. Time‐to‐event simulations confirmed the benefit of the recommended dosing schedule of 800 mg/day: initial doses of 800 mg/day were associated with the highest PFS, whereas lower doses (600 or 400 mg/day) were associated with improved tolerability but reduced PFS. A simulated dose‐reduction strategy of 800 mg/day for an initial two cycles followed by dose reductions seemed likely to maintain efficacy while possibly mitigating selected AEs (e.g., diarrhea and hand‐foot skin reactions). |
format | Online Article Text |
id | pubmed-6742948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67429482019-09-14 Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer Grevel, Joachim Jentsch, Garrit Austin, Rupert Prins, Nicolaas H. Lettieri, John Mitchell, David Huang, Funan Brose, Marcia S. Schlumberger, Martin Meinhardt, Gerold Peña, Carol E. A. Ploeger, Bart A. Clin Transl Sci Research Sorafenib is an oral multikinase inhibitor approved for the treatment of differentiated thyroid carcinoma (DTC), renal cell carcinoma, and hepatocellular carcinoma. In the phase III DECISION trial in patients with DTC, sorafenib exposure and the incidence of some adverse events (AEs) were higher than in previous trials; therefore, we analyzed exposure–response relationships, including progression‐free survival (PFS) and selected AEs in patients with DTC. A novel, stratified prediction‐corrected visual predictive check (pc‐VPC) was developed to show robustness of the exposure–response relationships. Time‐to‐event simulations confirmed the benefit of the recommended dosing schedule of 800 mg/day: initial doses of 800 mg/day were associated with the highest PFS, whereas lower doses (600 or 400 mg/day) were associated with improved tolerability but reduced PFS. A simulated dose‐reduction strategy of 800 mg/day for an initial two cycles followed by dose reductions seemed likely to maintain efficacy while possibly mitigating selected AEs (e.g., diarrhea and hand‐foot skin reactions). John Wiley and Sons Inc. 2019-04-12 2019-09 /pmc/articles/PMC6742948/ /pubmed/30920122 http://dx.doi.org/10.1111/cts.12634 Text en © 2019 Bayer AG. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the 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 | Research Grevel, Joachim Jentsch, Garrit Austin, Rupert Prins, Nicolaas H. Lettieri, John Mitchell, David Huang, Funan Brose, Marcia S. Schlumberger, Martin Meinhardt, Gerold Peña, Carol E. A. Ploeger, Bart A. Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title | Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title_full | Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title_fullStr | Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title_full_unstemmed | Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title_short | Exposure–Response Modeling and Simulation of Progression‐Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer |
title_sort | exposure–response modeling and simulation of progression‐free survival and adverse events of sorafenib treatment in patients with advanced thyroid cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742948/ https://www.ncbi.nlm.nih.gov/pubmed/30920122 http://dx.doi.org/10.1111/cts.12634 |
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