Modelling of Cancer Growth, Evolution and Invasion: Bridging Scales and Models

A. R.A. Anderson; K. A. Rejniak; P. Gerlee; V. Quaranta

Mathematical Modelling of Natural Phenomena (2010)

  • Volume: 2, Issue: 3, page 1-29
  • ISSN: 0973-5348

Abstract

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Since cancer is a complex phenomenon that incorporates events occurring on different length and time scales, therefore multiscale models are needed if we hope to adequately address cancer specific questions. In this paper we present three different multiscale individual-cell-based models, each motivated by cancer-related problems emerging from each of the spatial scales: extracellular, cellular or subcellular, but also incorporating relevant information from other levels. We apply these hybrid models to investigate the influence of the microenvironement on tumour invasion, cell-cell collaboration and competition leading to the initiation and growth of epithelial tumours, and to evolution of cell phenotypes/genotypes arising in tumours growing in different oxygen concentrations. We also discuss how these models relate to one another and can be used to bridge biological scales relevant to cancer.

How to cite

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Anderson, A. R.A., et al. "Modelling of Cancer Growth, Evolution and Invasion: Bridging Scales and Models." Mathematical Modelling of Natural Phenomena 2.3 (2010): 1-29. <http://eudml.org/doc/222211>.

@article{Anderson2010,
abstract = { Since cancer is a complex phenomenon that incorporates events occurring on different length and time scales, therefore multiscale models are needed if we hope to adequately address cancer specific questions. In this paper we present three different multiscale individual-cell-based models, each motivated by cancer-related problems emerging from each of the spatial scales: extracellular, cellular or subcellular, but also incorporating relevant information from other levels. We apply these hybrid models to investigate the influence of the microenvironement on tumour invasion, cell-cell collaboration and competition leading to the initiation and growth of epithelial tumours, and to evolution of cell phenotypes/genotypes arising in tumours growing in different oxygen concentrations. We also discuss how these models relate to one another and can be used to bridge biological scales relevant to cancer.},
author = {Anderson, A. R.A., Rejniak, K. A., Gerlee, P., Quaranta, V.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {tumour growth; tumour evolution; tumour invasion; single-cell-based models; hybrid models; multiscale; hybrid models},
language = {eng},
month = {3},
number = {3},
pages = {1-29},
publisher = {EDP Sciences},
title = {Modelling of Cancer Growth, Evolution and Invasion: Bridging Scales and Models},
url = {http://eudml.org/doc/222211},
volume = {2},
year = {2010},
}

TY - JOUR
AU - Anderson, A. R.A.
AU - Rejniak, K. A.
AU - Gerlee, P.
AU - Quaranta, V.
TI - Modelling of Cancer Growth, Evolution and Invasion: Bridging Scales and Models
JO - Mathematical Modelling of Natural Phenomena
DA - 2010/3//
PB - EDP Sciences
VL - 2
IS - 3
SP - 1
EP - 29
AB - Since cancer is a complex phenomenon that incorporates events occurring on different length and time scales, therefore multiscale models are needed if we hope to adequately address cancer specific questions. In this paper we present three different multiscale individual-cell-based models, each motivated by cancer-related problems emerging from each of the spatial scales: extracellular, cellular or subcellular, but also incorporating relevant information from other levels. We apply these hybrid models to investigate the influence of the microenvironement on tumour invasion, cell-cell collaboration and competition leading to the initiation and growth of epithelial tumours, and to evolution of cell phenotypes/genotypes arising in tumours growing in different oxygen concentrations. We also discuss how these models relate to one another and can be used to bridge biological scales relevant to cancer.
LA - eng
KW - tumour growth; tumour evolution; tumour invasion; single-cell-based models; hybrid models; multiscale; hybrid models
UR - http://eudml.org/doc/222211
ER -

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