Literature DB >> 22138092

A mathematical model for the dynamics of cancer hepatocytes under therapeutic actions.

Marcello Delitala1, Tommaso Lorenzi.   

Abstract

This paper deals with the development of a mathematical model for the in vitro dynamics of malignant hepatocytes exposed to anti-cancer therapies. The model consists of a set of integro-differential equations describing the dynamics of tumor cells under the effects of mutation and competition phenomena, interactions with cytokines regulating cell proliferation as well as the action of cytotoxic drugs and targeted therapeutic agents. Asymptotic analysis and simulations, developed with an exploratory aim, are addressed to enlighten the role played by the biological phenomena under consideration in the dynamics of hepatocellular carcinoma, with particular reference to the intra-tumor heterogeneity and the response to therapies. The obtained results suggest that cancer progression selects for highly proliferative clones. Moreover, it seems that intra-tumor heterogeneity makes targeted therapeutic agents to be less effective than cytotoxic drugs and a joint action of these two classes of agents may mutually increase their efficacy. Finally, it is highlighted how targeted therapeutic agents might act as an additional selective pressure leading to the selection for the most fitting, and then most resistant, cancer clones.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22138092     DOI: 10.1016/j.jtbi.2011.11.022

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Implementation of systems theory in liver cancer research.

Authors:  Federico Pinna; Kai Breuhahn
Journal:  Hepat Oncol       Date:  2015-01-12

2.  Spatial heterogeneity in drug concentrations can facilitate the emergence of resistance to cancer therapy.

Authors:  Feng Fu; Martin A Nowak; Sebastian Bonhoeffer
Journal:  PLoS Comput Biol       Date:  2015-03-19       Impact factor: 4.475

3.  Emergence of heterogeneity in acute leukemias.

Authors:  Thomas Stiehl; Christoph Lutz; Anna Marciniak-Czochra
Journal:  Biol Direct       Date:  2016-10-12       Impact factor: 4.540

4.  Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations.

Authors:  Tommaso Lorenzi; Rebecca H Chisholm; Jean Clairambault
Journal:  Biol Direct       Date:  2016-08-23       Impact factor: 4.540

5.  Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments.

Authors:  Aleksandra Ardaševa; Robert A Gatenby; Alexander R A Anderson; Helen M Byrne; Philip K Maini; Tommaso Lorenzi
Journal:  J Math Biol       Date:  2019-10-22       Impact factor: 2.259

6.  Hepatocellular carcinoma: a systems biology perspective.

Authors:  Lorenza A D'Alessandro; René Meyer; Ursula Klingmüller
Journal:  Front Physiol       Date:  2013-02-25       Impact factor: 4.566

  6 in total

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