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Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling
Paclitaxel is a commonly used drug in the treatment of multiple solid tumors, including cancers of the breast, lung, and ovaries. Despite the established exposure–pharmacodynamic relationships for paclitaxel, treatment is associated with wide interindividual pharmacokinetic variability that leads to...
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/PMC6930855/ https://www.ncbi.nlm.nih.gov/pubmed/31671477 http://dx.doi.org/10.1002/psp4.12472 |
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author | Fu, Qiang Sun, Xinxin Lustburg, Maryam B. Sparreboom, Alex Hu, Shuiying |
author_facet | Fu, Qiang Sun, Xinxin Lustburg, Maryam B. Sparreboom, Alex Hu, Shuiying |
author_sort | Fu, Qiang |
collection | PubMed |
description | Paclitaxel is a commonly used drug in the treatment of multiple solid tumors, including cancers of the breast, lung, and ovaries. Despite the established exposure–pharmacodynamic relationships for paclitaxel, treatment is associated with wide interindividual pharmacokinetic variability that leads to unpredictability of the agent's clinical activity and toxicity. We hypothesized that physiologically‐based modeling approaches could be employed to predict the human pharmacokinetics of paclitaxel following administration of the approved Cremophor‐based formulation (Taxol). The model was developed from tissue distribution studies performed in mice and applied to plasma concentration‐time data obtained in adult cancer patients receiving Taxol at the approved dose and schedule (175 mg/m(2) by a 3‐hour intravenous infusion), taking into account interspecies differences in physiological parameters. The final model adequately captured the observed concentrations in patients and allowed prediction of paclitaxel distribution profiles in multiple target organs and can be applied to further refine the chemotherapeutic treatment with a clinically important agent. |
format | Online Article Text |
id | pubmed-6930855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69308552019-12-27 Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling Fu, Qiang Sun, Xinxin Lustburg, Maryam B. Sparreboom, Alex Hu, Shuiying CPT Pharmacometrics Syst Pharmacol Research Paclitaxel is a commonly used drug in the treatment of multiple solid tumors, including cancers of the breast, lung, and ovaries. Despite the established exposure–pharmacodynamic relationships for paclitaxel, treatment is associated with wide interindividual pharmacokinetic variability that leads to unpredictability of the agent's clinical activity and toxicity. We hypothesized that physiologically‐based modeling approaches could be employed to predict the human pharmacokinetics of paclitaxel following administration of the approved Cremophor‐based formulation (Taxol). The model was developed from tissue distribution studies performed in mice and applied to plasma concentration‐time data obtained in adult cancer patients receiving Taxol at the approved dose and schedule (175 mg/m(2) by a 3‐hour intravenous infusion), taking into account interspecies differences in physiological parameters. The final model adequately captured the observed concentrations in patients and allowed prediction of paclitaxel distribution profiles in multiple target organs and can be applied to further refine the chemotherapeutic treatment with a clinically important agent. John Wiley and Sons Inc. 2019-11-16 2019-12 /pmc/articles/PMC6930855/ /pubmed/31671477 http://dx.doi.org/10.1002/psp4.12472 Text en © 2019 The Authors. CPT: Pharmacometrics & Systems Pharmacology 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/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Fu, Qiang Sun, Xinxin Lustburg, Maryam B. Sparreboom, Alex Hu, Shuiying Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title | Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title_full | Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title_fullStr | Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title_full_unstemmed | Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title_short | Predicting Paclitaxel Disposition in Humans With Whole‐Body Physiologically‐Based Pharmacokinetic Modeling |
title_sort | predicting paclitaxel disposition in humans with whole‐body physiologically‐based pharmacokinetic modeling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930855/ https://www.ncbi.nlm.nih.gov/pubmed/31671477 http://dx.doi.org/10.1002/psp4.12472 |
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