Literature DB >> 23318987

What can be learned from a chaotic cancer model?

C Letellier1, F Denis, L A Aguirre.   

Abstract

A simple model of three competing cell populations (host, immune and tumor cells) is revisited by using a topological analysis and computing observability coefficients. Our aim is to show that a non-conventional analysis might suggest new trends in understanding the interactions of some tumor cells and their environment. The action of some parameter values on the resulting dynamics is investigated. Our results are related to some clinical features, suggesting that this model thus captures relevant phenomena to cell interactions.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23318987     DOI: 10.1016/j.jtbi.2013.01.003

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


  7 in total

1.  Detecting lung cancer relapse using self-evaluation forms weekly filled at home: the sentinel follow-up.

Authors:  Fabrice Denis; Louise Viger; Alexandre Charron; Eric Voog; Christophe Letellier
Journal:  Support Care Cancer       Date:  2013-09-01       Impact factor: 3.603

Review 2.  Mathematical modeling of tumor-immune cell interactions.

Authors:  Grace E Mahlbacher; Kara C Reihmer; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2019-03-02       Impact factor: 2.691

3.  Modelling lymphoma therapy and outcome.

Authors:  Katja Roesch; Dirk Hasenclever; Markus Scholz
Journal:  Bull Math Biol       Date:  2013-12-14       Impact factor: 1.758

4.  Various firing activities and finite-time synchronization of an improved Hindmarsh-Rose neuron model under electric field effect.

Authors:  K Marcel Wouapi; B Hilaire Fotsin; F Patrick Louodop; K Florent Feudjio; Z Tabekoueng Njitacke; T Hermann Djeudjo
Journal:  Cogn Neurodyn       Date:  2020-01-27       Impact factor: 5.082

Review 5.  Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics.

Authors:  Abicumaran Uthamacumaran
Journal:  Biol Cybern       Date:  2022-06-09       Impact factor: 3.072

6.  Chaos in Cancer Tumor Growth Model with Commensurate and Incommensurate Fractional-Order Derivatives.

Authors:  Nadjette Debbouche; Adel Ouannas; Giuseppe Grassi; Abdul-Basset A Al-Hussein; Fadhil Rahma Tahir; Khaled M Saad; Hadi Jahanshahi; Ayman A Aly
Journal:  Comput Math Methods Med       Date:  2022-05-20       Impact factor: 2.809

7.  Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.

Authors:  Guido Santos; Svetoslav Nikolov; Xin Lai; Martin Eberhardt; Florian S Dreyer; Sushmita Paul; Gerold Schuler; Julio Vera
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  7 in total

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