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Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach

It has recently been suggested that pro-tumorigenic host-mediated processes induced in response to chemotherapy counteract the anti-tumor activity of therapy, and thereby decrease net therapeutic outcome. Here we use experimental data to formulate a mathematical model describing the host response to...

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Autores principales: Benguigui, Madeleine, Alishekevitz, Dror, Timaner, Michael, Shechter, Dvir, Raviv, Ziv, Benzekry, Sebastien, Shaked, Yuval
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788661/
https://www.ncbi.nlm.nih.gov/pubmed/29416793
http://dx.doi.org/10.18632/oncotarget.23514
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author Benguigui, Madeleine
Alishekevitz, Dror
Timaner, Michael
Shechter, Dvir
Raviv, Ziv
Benzekry, Sebastien
Shaked, Yuval
author_facet Benguigui, Madeleine
Alishekevitz, Dror
Timaner, Michael
Shechter, Dvir
Raviv, Ziv
Benzekry, Sebastien
Shaked, Yuval
author_sort Benguigui, Madeleine
collection PubMed
description It has recently been suggested that pro-tumorigenic host-mediated processes induced in response to chemotherapy counteract the anti-tumor activity of therapy, and thereby decrease net therapeutic outcome. Here we use experimental data to formulate a mathematical model describing the host response to different doses of paclitaxel (PTX) chemotherapy as well as the duration of the response. Three previously described host-mediated effects are used as readouts for the host response to therapy. These include the levels of circulating endothelial progenitor cells in peripheral blood and the effect of plasma derived from PTX-treated mice on migratory and invasive properties of tumor cells in vitro. A first set of mathematical models, based on basic principles of pharmacokinetics/pharmacodynamics, did not appropriately describe the dose-dependence and duration of the host response regarding the effects on invasion. We therefore provide an alternative mathematical model with a dose-dependent threshold, instead of a concentration-dependent one, that describes better the data. This model is integrated into a global model defining all three host-mediated effects. It not only precisely describes the data, but also correctly predicts host-mediated effects at different doses as well as the duration of the host response. This mathematical model may serve as a tool to predict the host response to chemotherapy in cancer patients, and therefore may be used to design chemotherapy regimens with improved therapeutic outcome by minimizing host mediated effects.
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spelling pubmed-57886612018-02-07 Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach Benguigui, Madeleine Alishekevitz, Dror Timaner, Michael Shechter, Dvir Raviv, Ziv Benzekry, Sebastien Shaked, Yuval Oncotarget Research Paper It has recently been suggested that pro-tumorigenic host-mediated processes induced in response to chemotherapy counteract the anti-tumor activity of therapy, and thereby decrease net therapeutic outcome. Here we use experimental data to formulate a mathematical model describing the host response to different doses of paclitaxel (PTX) chemotherapy as well as the duration of the response. Three previously described host-mediated effects are used as readouts for the host response to therapy. These include the levels of circulating endothelial progenitor cells in peripheral blood and the effect of plasma derived from PTX-treated mice on migratory and invasive properties of tumor cells in vitro. A first set of mathematical models, based on basic principles of pharmacokinetics/pharmacodynamics, did not appropriately describe the dose-dependence and duration of the host response regarding the effects on invasion. We therefore provide an alternative mathematical model with a dose-dependent threshold, instead of a concentration-dependent one, that describes better the data. This model is integrated into a global model defining all three host-mediated effects. It not only precisely describes the data, but also correctly predicts host-mediated effects at different doses as well as the duration of the host response. This mathematical model may serve as a tool to predict the host response to chemotherapy in cancer patients, and therefore may be used to design chemotherapy regimens with improved therapeutic outcome by minimizing host mediated effects. Impact Journals LLC 2017-12-20 /pmc/articles/PMC5788661/ /pubmed/29416793 http://dx.doi.org/10.18632/oncotarget.23514 Text en Copyright: © 2018 Benguigui et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Benguigui, Madeleine
Alishekevitz, Dror
Timaner, Michael
Shechter, Dvir
Raviv, Ziv
Benzekry, Sebastien
Shaked, Yuval
Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title_full Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title_fullStr Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title_full_unstemmed Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title_short Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
title_sort dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788661/
https://www.ncbi.nlm.nih.gov/pubmed/29416793
http://dx.doi.org/10.18632/oncotarget.23514
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