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Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules

In host and cancer tissues, drug metabolism and susceptibility to drugs vary in a circadian (24 h) manner. In particular, the efficacy of a cell cycle specific (CCS) cytotoxic agent is affected by the daily modulation of cell cycle activity in the target tissues. Anti-cancer chronotherapy, in which...

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Autores principales: Bernard, Samuel, Čajavec Bernard, Branka, Lévi, Francis, Herzel, Hanspeter
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2841621/
https://www.ncbi.nlm.nih.gov/pubmed/20333244
http://dx.doi.org/10.1371/journal.pcbi.1000712
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author Bernard, Samuel
Čajavec Bernard, Branka
Lévi, Francis
Herzel, Hanspeter
author_facet Bernard, Samuel
Čajavec Bernard, Branka
Lévi, Francis
Herzel, Hanspeter
author_sort Bernard, Samuel
collection PubMed
description In host and cancer tissues, drug metabolism and susceptibility to drugs vary in a circadian (24 h) manner. In particular, the efficacy of a cell cycle specific (CCS) cytotoxic agent is affected by the daily modulation of cell cycle activity in the target tissues. Anti-cancer chronotherapy, in which treatments are administered at a particular time each day, aims at exploiting these biological rhythms to reduce toxicity and improve efficacy of the treatment. The circadian status, which is the timing of physiological and behavioral activity relative to daily environmental cues, largely determines the best timing of treatments. However, the influence of variations in tumor kinetics has not been considered in determining appropriate treatment schedules. We used a simple model for cell populations under chronomodulated treatment to identify which biological parameters are important for the successful design of a chronotherapy strategy. We show that the duration of the phase of the cell cycle targeted by the treatment and the cell proliferation rate are crucial in determining the best times to administer CCS drugs. Thus, optimal treatment times depend not only on the circadian status of the patient but also on the cell cycle kinetics of the tumor. Then, we developed a theoretical analysis of treatment outcome (TATO) to relate the circadian status and cell cycle kinetic parameters to the treatment outcomes. We show that the best and the worst CCS drug administration schedules are those with 24 h intervals, implying that 24 h chronomodulated treatments can be ineffective or even harmful if administered at wrong circadian times. We show that for certain tumors, administration times at intervals different from 24 h may reduce these risks without compromising overall efficacy.
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spelling pubmed-28416212010-03-24 Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules Bernard, Samuel Čajavec Bernard, Branka Lévi, Francis Herzel, Hanspeter PLoS Comput Biol Research Article In host and cancer tissues, drug metabolism and susceptibility to drugs vary in a circadian (24 h) manner. In particular, the efficacy of a cell cycle specific (CCS) cytotoxic agent is affected by the daily modulation of cell cycle activity in the target tissues. Anti-cancer chronotherapy, in which treatments are administered at a particular time each day, aims at exploiting these biological rhythms to reduce toxicity and improve efficacy of the treatment. The circadian status, which is the timing of physiological and behavioral activity relative to daily environmental cues, largely determines the best timing of treatments. However, the influence of variations in tumor kinetics has not been considered in determining appropriate treatment schedules. We used a simple model for cell populations under chronomodulated treatment to identify which biological parameters are important for the successful design of a chronotherapy strategy. We show that the duration of the phase of the cell cycle targeted by the treatment and the cell proliferation rate are crucial in determining the best times to administer CCS drugs. Thus, optimal treatment times depend not only on the circadian status of the patient but also on the cell cycle kinetics of the tumor. Then, we developed a theoretical analysis of treatment outcome (TATO) to relate the circadian status and cell cycle kinetic parameters to the treatment outcomes. We show that the best and the worst CCS drug administration schedules are those with 24 h intervals, implying that 24 h chronomodulated treatments can be ineffective or even harmful if administered at wrong circadian times. We show that for certain tumors, administration times at intervals different from 24 h may reduce these risks without compromising overall efficacy. Public Library of Science 2010-03-19 /pmc/articles/PMC2841621/ /pubmed/20333244 http://dx.doi.org/10.1371/journal.pcbi.1000712 Text en Bernard et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bernard, Samuel
Čajavec Bernard, Branka
Lévi, Francis
Herzel, Hanspeter
Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title_full Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title_fullStr Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title_full_unstemmed Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title_short Tumor Growth Rate Determines the Timing of Optimal Chronomodulated Treatment Schedules
title_sort tumor growth rate determines the timing of optimal chronomodulated treatment schedules
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2841621/
https://www.ncbi.nlm.nih.gov/pubmed/20333244
http://dx.doi.org/10.1371/journal.pcbi.1000712
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