A computational model for cancer growth by using complex networks

Detalhes bibliográficos
Autor(a) principal: Galvão, Viviane
Data de Publicação: 2008
Outros Autores: Miranda, José Garcia Vivas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/6074
Resumo: Acesso restrito: Texto completo. p. 5279-5286.
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spelling Galvão, VivianeMiranda, José Garcia VivasGalvão, VivianeMiranda, José Garcia Vivas2012-06-04T19:56:22Z20080378-4371http://www.repositorio.ufba.br/ri/handle/ri/6074v. 387, n. 21Acesso restrito: Texto completo. p. 5279-5286.In this work we propose a computational model to investigate the proliferation of cancerous cell by using complex networks. In our model the network represents the structure of available space in the cancer propagation. The computational scheme considers a cancerous cell randomly included in the complex network. When the system evolves the cells can assume three states: proliferative, non-proliferative, and necrotic. Our results were compared with experimental data obtained from three human lung carcinoma cell lines. The computational simulations show that the cancerous cells have a Gompertzian growth. Also, our model simulates the formation of necrosis, increase of density, and resources diffusion to regions of lower nutrient concentration. We obtain that the cancer growth is very similar in random and small-world networks. On the other hand, the topological structure of the small-world network is more affected. The scale-free network has the largest rates of cancer growth due to hub formation. Finally, our results indicate that for different average degrees the rate of cancer growth is related to the available space in the network.Submitted by JURANDI DE SOUZA SILVA (jssufba@hotmail.com) on 2012-06-04T19:56:22Z No. of bitstreams: 1 __ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf: 340958 bytes, checksum: e26b608081ca30cab84b8224295cd0d5 (MD5)Made available in DSpace on 2012-06-04T19:56:22Z (GMT). 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dc.title.pt_BR.fl_str_mv A computational model for cancer growth by using complex networks
dc.title.alternative.pt_BR.fl_str_mv Physica A: Statistical Mechanics and its Applications
title A computational model for cancer growth by using complex networks
spellingShingle A computational model for cancer growth by using complex networks
Galvão, Viviane
Mathematical modeling
Cancer development
Cellular proliferation
title_short A computational model for cancer growth by using complex networks
title_full A computational model for cancer growth by using complex networks
title_fullStr A computational model for cancer growth by using complex networks
title_full_unstemmed A computational model for cancer growth by using complex networks
title_sort A computational model for cancer growth by using complex networks
author Galvão, Viviane
author_facet Galvão, Viviane
Miranda, José Garcia Vivas
author_role author
author2 Miranda, José Garcia Vivas
author2_role author
dc.contributor.author.fl_str_mv Galvão, Viviane
Miranda, José Garcia Vivas
Galvão, Viviane
Miranda, José Garcia Vivas
dc.subject.por.fl_str_mv Mathematical modeling
Cancer development
Cellular proliferation
topic Mathematical modeling
Cancer development
Cellular proliferation
description Acesso restrito: Texto completo. p. 5279-5286.
publishDate 2008
dc.date.issued.fl_str_mv 2008
dc.date.accessioned.fl_str_mv 2012-06-04T19:56:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/6074
dc.identifier.issn.none.fl_str_mv 0378-4371
dc.identifier.number.pt_BR.fl_str_mv v. 387, n. 21
identifier_str_mv 0378-4371
v. 387, n. 21
url http://www.repositorio.ufba.br/ri/handle/ri/6074
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.physa.2008.05.010
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
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instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
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