Literature DB >> 19041394

Identifying mechanisms of chronotolerance and chronoefficacy for the anticancer drugs 5-fluorouracil and oxaliplatin by computational modeling.

Atilla Altinok1, Francis Lévi, Albert Goldbeter.   

Abstract

We use an automaton model for the cell cycle to assess the toxicity of various circadian patterns of anticancer drug delivery so as to enhance the efficiency of cancer chronotherapy. Based on the sequential transitions between the successive phases G1, S (DNA replication), G2, and M (mitosis) of the cell cycle, the model allows us to simulate the distribution of cell cycle phases as well as entrainment by the circadian clock. We use the model to evaluate circadian patterns of administration of two anticancer drugs, 5-fluorouracil (5-FU) and oxaliplatin (l-OHP). We first consider the case of 5-FU, which exerts its cytotoxic effects on cells in S phase. We compare various circadian patterns of drug administration differing by the time of maximum drug delivery. The model explains why minimum cytotoxicity is obtained when the time of peak delivery is close to 4a.m., which temporal pattern of drug administration is used clinically for 5-FU. We also determine how cytotoxicity is affected by the variability in duration of cell cycle phases and by cell cycle length in the presence or absence of entrainment by the circadian clock. The results indicate that the same temporal pattern of drug administration can have minimum cytotoxicity toward one cell population, e.g. of normal cells, and at the same time can display high cytotoxicity toward a second cell population, e.g. of tumour cells. Thus the model allows us to uncover factors that may contribute to improve simultaneously chronotolerance and chronoefficacy of anticancer drugs. We next consider the case of oxaliplatin, which, in contrast to 5-FU, kills cells in different phases of the cell cycle. We incorporate into the model the pharmacokinetics of plasma thiols and intracellular glutathione, which interfere with the action of the drug by forming with it inactive complexes. The model shows how circadian changes in l-OHP cytotoxicity may arise from circadian variations in the levels of plasma thiols and glutathione. Corroborating experimental and clinical results, the simulations of the model account for the observation that the temporal profiles minimizing l-OHP cytotoxicity are in antiphase with those minimizing cytotoxicity for 5-FU.

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Year:  2008        PMID: 19041394     DOI: 10.1016/j.ejps.2008.10.024

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  24 in total

1.  An automaton model for the cell cycle.

Authors:  Atilla Altinok; Didier Gonze; Francis Lévi; Albert Goldbeter
Journal:  Interface Focus       Date:  2010-11-24       Impact factor: 3.906

Review 2.  Chronopharmaceutical drug delivery systems: Hurdles, hype or hope?

Authors:  Bi-Botti C Youan
Journal:  Adv Drug Deliv Rev       Date:  2010-05-12       Impact factor: 15.470

Review 3.  Systems Chronotherapeutics.

Authors:  Annabelle Ballesta; Pasquale F Innominato; Robert Dallmann; David A Rand; Francis A Lévi
Journal:  Pharmacol Rev       Date:  2017-04       Impact factor: 25.468

4.  Skin surface temperature rhythms as potential circadian biomarkers for personalized chronotherapeutics in cancer patients.

Authors:  Christopher G Scully; Abdoulaye Karaboué; Wei-Min Liu; Joseph Meyer; Pasquale F Innominato; Ki H Chon; Alexander M Gorbach; Francis Lévi
Journal:  Interface Focus       Date:  2011-02-06       Impact factor: 3.906

5.  Circadian rhythm and its role in malignancy.

Authors:  Sobia Rana; Saqib Mahmood
Journal:  J Circadian Rhythms       Date:  2010-03-31

6.  Effect of dose-escalation of 5-fluorouracil on circadian variability of its pharmacokinetics in Japanese patients with Stage III/IVa esophageal squamous cell carcinoma.

Authors:  Akiko Kuwahara; Motohiro Yamamori; Kohshi Nishiguchi; Tatsuya Okuno; Naoko Chayahara; Ikuya Miki; Takao Tamura; Kaori Kadoyama; Tsubasa Inokuma; Yoshiji Takemoto; Tsutomu Nakamura; Kazusaburo Kataoka; Toshiyuki Sakaeda
Journal:  Int J Med Sci       Date:  2010-01-31       Impact factor: 3.738

7.  Tumor growth rate determines the timing of optimal chronomodulated treatment schedules.

Authors:  Samuel Bernard; Branka Cajavec Bernard; Francis Lévi; Hanspeter Herzel
Journal:  PLoS Comput Biol       Date:  2010-03-19       Impact factor: 4.475

8.  Synchronized oscillations in growing cell populations are explained by demographic noise.

Authors:  Enrico Gavagnin; Sean T Vittadello; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson; Tim Rogers; Christian A Yates
Journal:  Biophys J       Date:  2021-02-20       Impact factor: 4.033

9.  Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models.

Authors:  Kristin Tøndel; Ulf G Indahl; Arne B Gjuvsland; Stig W Omholt; Harald Martens
Journal:  BMC Syst Biol       Date:  2012-07-20

10.  Replacement of cisplatin with nedaplatin in a definitive 5-fluorouracil/cisplatin-based chemoradiotherapy in Japanese patients with esophageal squamous cell carcinoma.

Authors:  Akiko Kuwahara; Motohiro Yamamori; Kohshi Nishiguchi; Tatsuya Okuno; Naoko Chayahara; Ikuya Miki; Takao Tamura; Tsubasa Inokuma; Yoshiji Takemoto; Tsutomu Nakamura; Kazusaburo Kataoka; Toshiyuki Sakaeda
Journal:  Int J Med Sci       Date:  2009-09-28       Impact factor: 3.738

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