Literature DB >> 24262634

Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context.

Ángel Monteagudo1, José Santos2.   

Abstract

We used a cellular automaton model for cancer growth simulation at cellular level, based on the presence of different cancer hallmarks acquired by the cells. The presence of the hallmarks in each of the cells determines cell mitotic and apoptotic behaviors. Depending on the presence of the different hallmarks and some associated parameters of the hallmarks, the system can evolve to different dynamics. We used the cellular automaton model to inspect the capability of different hallmarks to generate tumor growth in different conditions, using this study in a cancer stem cell context to analyze the capability of the hallmarks to tumor regrowth in different circumstances.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cancer growth modeling; Cancer stem cells; Cellular automata; Cellular behavior

Mesh:

Year:  2013        PMID: 24262634     DOI: 10.1016/j.biosystems.2013.11.001

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  7 in total

1.  In silico study of the impact of cancer stem cell dynamics and radiobiological hypoxia on tumour response to hyperfractionated radiotherapy.

Authors:  L G Marcu; D Marcu; S M Filip
Journal:  Cell Prolif       Date:  2016-04-15       Impact factor: 6.831

2.  Analysis of behaviour transitions in tumour growth using a cellular automaton simulation.

Authors:  José Santos; Ángel Monteagudo
Journal:  IET Syst Biol       Date:  2015-06       Impact factor: 1.615

Review 3.  What Tumor Dynamics Modeling Can Teach us About Exploiting the Stem-Cell View for Better Cancer Treatment.

Authors:  Roger S Day
Journal:  Cancer Inform       Date:  2015-02-24

4.  Treatment Analysis in a Cancer Stem Cell Context Using a Tumor Growth Model Based on Cellular Automata.

Authors:  Ángel Monteagudo; José Santos
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

5.  Cell adhesion heterogeneity reinforces tumour cell dissemination: novel insights from a mathematical model.

Authors:  David Reher; Barbara Klink; Andreas Deutsch; Anja Voss-Böhme
Journal:  Biol Direct       Date:  2017-08-11       Impact factor: 4.540

6.  A Six-Stage Workflow for Robust Application of Systems Pharmacology.

Authors:  K Gadkar; D C Kirouac; D E Mager; P H van der Graaf; S Ramanujan
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-04-16

7.  A Lock Free Approach To Parallelize The Cellular Potts Model: Application To Ductal Carcinoma In Situ.

Authors:  Antonio J Tomeu; Alberto G Salguero
Journal:  J Integr Bioinform       Date:  2020-04-07
  7 in total

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