Literature DB >> 19248794

A quantitative cellular automaton model of in vitro multicellular spheroid tumour growth.

Monika Joanna Piotrowska1, Simon D Angus.   

Abstract

We report numerical results from a 2D cellular automaton (CA) model describing the dynamics of the in vitro cultivated multicellular spheroid obtained from EMT6/Ro (mammary carcinoma) cell line. Significantly, the CA model relaxes the often assumed one-to-one correspondence between cells and CA sites so as to correctly model the peripheral mitotic boundary region, and to enable the study of necrosis in large avascular tumours. By full calibration and scaling to available experimental data, the model produces with good accuracy experimentally comparable data on a range of bulk tumour kinetics and necrosis measures. Our main finding is that the metabolic production of H(+) ions is not sufficient to cause central necrosis prior to the sub-viable nutrient-deficient stage of tumour development being reached. Thus, the model suggests that an additional process is required to explain the experimentally observable onset of necrosis prior to the non-viable nutrient-deficient point being reached.

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Year:  2009        PMID: 19248794     DOI: 10.1016/j.jtbi.2009.02.008

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


  13 in total

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Review 2.  Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.

Authors:  Aleksandra Karolak; Dmitry A Markov; Lisa J McCawley; Katarzyna A Rejniak
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

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Journal:  Appl Math (Irvine)       Date:  2014-01

4.  Glioma growth modeling based on the effect of vital nutrients and metabolic products.

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Journal:  Med Biol Eng Comput       Date:  2018-03-08       Impact factor: 2.602

5.  A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta; Thomas E Yankeelov
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

6.  Rule-Based Simulation of Multi-Cellular Biological Systems-A Review of Modeling Techniques.

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Journal:  Cell Mol Bioeng       Date:  2009-09       Impact factor: 2.321

7.  Modeling intrinsic heterogeneity and growth of cancer cells.

Authors:  James M Greene; Doron Levy; King Leung Fung; Paloma S Souza; Michael M Gottesman; Orit Lavi
Journal:  J Theor Biol       Date:  2014-11-29       Impact factor: 2.691

8.  Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling.

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9.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

10.  Biphasic modulation of cancer stem cell-driven solid tumour dynamics in response to reactivated replicative senescence.

Authors:  J Poleszczuk; P Hahnfeldt; H Enderling
Journal:  Cell Prolif       Date:  2014-03-25       Impact factor: 6.831

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