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pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study

Despite intensive treatments including temozolomide (TMZ) administration, glioblastoma patient prognosis remains dismal and innovative therapeutic strategies are urgently needed. A systems pharmacology approach was undertaken to investigate TMZ pharmacokinetics‐pharmacodynamics (PK‐PD) incorporating...

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Autores principales: Stéphanou, Angélique, Ballesta, Annabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349072/
https://www.ncbi.nlm.nih.gov/pubmed/30705757
http://dx.doi.org/10.1002/prp2.454
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author Stéphanou, Angélique
Ballesta, Annabelle
author_facet Stéphanou, Angélique
Ballesta, Annabelle
author_sort Stéphanou, Angélique
collection PubMed
description Despite intensive treatments including temozolomide (TMZ) administration, glioblastoma patient prognosis remains dismal and innovative therapeutic strategies are urgently needed. A systems pharmacology approach was undertaken to investigate TMZ pharmacokinetics‐pharmacodynamics (PK‐PD) incorporating the effect of local pH, tumor spatial configuration and micro‐environment. A hybrid mathematical framework was designed coupling ordinary differential equations describing the intracellular reactions, with a spatial cellular automaton to individualize the cells. A differential drug impact on tumor and healthy cells at constant extracellular pH was computationally demonstrated as TMZ‐induced DNA damage was larger in tumor cells as compared to normal cells due to less acidic intracellular pH in cancer cells. Optimality of TMZ efficacy defined as maximum difference between damage in tumor and healthy cells was reached for extracellular pH between 6.8 and 7.5. Next, TMZ PK‐PD in a solid tumor was demonstrated to highly depend on its spatial configuration as spread cancer cells or fragmented tumors presented higher TMZ‐induced damage as compared to compact tumor spheroid. Simulations highlighted that smaller tumors were less acidic than bigger ones allowing for faster TMZ activation and their closer distance to blood capillaries allowed for better drug penetration. For model parameters corresponding to U87 glioma cells, inter‐cell variability in TMZ uptake play no role regarding the mean drug‐induced damage in the whole cell population whereas this quantity was increased by inter‐cell variability in TMZ efflux which was thus a disadvantage in terms of drug resistance. Overall, this study revealed pH as a new potential target to significantly improve TMZ antitumor efficacy.
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spelling pubmed-63490722019-01-31 pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study Stéphanou, Angélique Ballesta, Annabelle Pharmacol Res Perspect Original Articles Despite intensive treatments including temozolomide (TMZ) administration, glioblastoma patient prognosis remains dismal and innovative therapeutic strategies are urgently needed. A systems pharmacology approach was undertaken to investigate TMZ pharmacokinetics‐pharmacodynamics (PK‐PD) incorporating the effect of local pH, tumor spatial configuration and micro‐environment. A hybrid mathematical framework was designed coupling ordinary differential equations describing the intracellular reactions, with a spatial cellular automaton to individualize the cells. A differential drug impact on tumor and healthy cells at constant extracellular pH was computationally demonstrated as TMZ‐induced DNA damage was larger in tumor cells as compared to normal cells due to less acidic intracellular pH in cancer cells. Optimality of TMZ efficacy defined as maximum difference between damage in tumor and healthy cells was reached for extracellular pH between 6.8 and 7.5. Next, TMZ PK‐PD in a solid tumor was demonstrated to highly depend on its spatial configuration as spread cancer cells or fragmented tumors presented higher TMZ‐induced damage as compared to compact tumor spheroid. Simulations highlighted that smaller tumors were less acidic than bigger ones allowing for faster TMZ activation and their closer distance to blood capillaries allowed for better drug penetration. For model parameters corresponding to U87 glioma cells, inter‐cell variability in TMZ uptake play no role regarding the mean drug‐induced damage in the whole cell population whereas this quantity was increased by inter‐cell variability in TMZ efflux which was thus a disadvantage in terms of drug resistance. Overall, this study revealed pH as a new potential target to significantly improve TMZ antitumor efficacy. John Wiley and Sons Inc. 2019-01-28 /pmc/articles/PMC6349072/ /pubmed/30705757 http://dx.doi.org/10.1002/prp2.454 Text en © 2019 The Authors. Pharmacology Research & Perspectives published by John Wiley & Sons Ltd, British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Stéphanou, Angélique
Ballesta, Annabelle
pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title_full pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title_fullStr pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title_full_unstemmed pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title_short pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study
title_sort ph as a potential therapeutic target to improve temozolomide antitumor efficacy : a mechanistic modeling study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349072/
https://www.ncbi.nlm.nih.gov/pubmed/30705757
http://dx.doi.org/10.1002/prp2.454
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