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Emergent properties of a computational model of tumour growth

While there have been enormous advances in our understanding of the genetic drivers and molecular pathways involved in cancer in recent decades, there also remain key areas of dispute with respect to fundamental theories of cancer. The accumulation of vast new datasets from genomics and other fields...

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Autor principal: Pantziarka, Pan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933089/
https://www.ncbi.nlm.nih.gov/pubmed/27413638
http://dx.doi.org/10.7717/peerj.2176
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author Pantziarka, Pan
author_facet Pantziarka, Pan
author_sort Pantziarka, Pan
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description While there have been enormous advances in our understanding of the genetic drivers and molecular pathways involved in cancer in recent decades, there also remain key areas of dispute with respect to fundamental theories of cancer. The accumulation of vast new datasets from genomics and other fields, in addition to detailed descriptions of molecular pathways, cloud the issues and lead to ever greater complexity. One strategy in dealing with such complexity is to develop models to replicate salient features of the system and therefore to generate hypotheses which reflect on the real system. A simple tumour growth model is outlined which displays emergent behaviours that correspond to a number of clinically relevant phenomena including tumour growth, intra-tumour heterogeneity, growth arrest and accelerated repopulation following cytotoxic insult. Analysis of model data suggests that the processes of cell competition and apoptosis are key drivers of these emergent behaviours. Questions are raised as to the role of cell competition and cell death in physical cancer growth and the relevance that these have to cancer research in general is discussed.
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spelling pubmed-49330892016-07-13 Emergent properties of a computational model of tumour growth Pantziarka, Pan PeerJ Computational Biology While there have been enormous advances in our understanding of the genetic drivers and molecular pathways involved in cancer in recent decades, there also remain key areas of dispute with respect to fundamental theories of cancer. The accumulation of vast new datasets from genomics and other fields, in addition to detailed descriptions of molecular pathways, cloud the issues and lead to ever greater complexity. One strategy in dealing with such complexity is to develop models to replicate salient features of the system and therefore to generate hypotheses which reflect on the real system. A simple tumour growth model is outlined which displays emergent behaviours that correspond to a number of clinically relevant phenomena including tumour growth, intra-tumour heterogeneity, growth arrest and accelerated repopulation following cytotoxic insult. Analysis of model data suggests that the processes of cell competition and apoptosis are key drivers of these emergent behaviours. Questions are raised as to the role of cell competition and cell death in physical cancer growth and the relevance that these have to cancer research in general is discussed. PeerJ Inc. 2016-06-29 /pmc/articles/PMC4933089/ /pubmed/27413638 http://dx.doi.org/10.7717/peerj.2176 Text en ©2016 Pantziarka http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Computational Biology
Pantziarka, Pan
Emergent properties of a computational model of tumour growth
title Emergent properties of a computational model of tumour growth
title_full Emergent properties of a computational model of tumour growth
title_fullStr Emergent properties of a computational model of tumour growth
title_full_unstemmed Emergent properties of a computational model of tumour growth
title_short Emergent properties of a computational model of tumour growth
title_sort emergent properties of a computational model of tumour growth
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933089/
https://www.ncbi.nlm.nih.gov/pubmed/27413638
http://dx.doi.org/10.7717/peerj.2176
work_keys_str_mv AT pantziarkapan emergentpropertiesofacomputationalmodeloftumourgrowth