Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells

Detalhes bibliográficos
Autor(a) principal: Dingli, D.
Data de Publicação: 2009
Outros Autores: Chalub, Fábio Augusto da Costa Carvalho, Santos, F. C., Van Segbroeck, S., Pacheco, Jorge M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/24764
Resumo: This work was supported by Mayo Foundation ( DD), FCT Portugal (FACCC and JMP), FNRS Belgium (FCS) and FWO Belgium (SVS).
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spelling Cancer phenotype as the outcome of an evolutionary game between normal and malignant cellsin-vivomultiple-myelomagameinflammatorycelldynamicsecologymyelomaofproteintumor-cellssomaticbone-diseasestaging1-alphamultipleinhibitionevolutionsystemtransplantationreplicatorcancergrowthevolutionaryosteoprotegerintheoryCancer dynamicsCancer ecologyEvolutionary game theory of cancerMultiple myelomaReplicator cell dynamicsSomatic evolution of cancerSDG 3 - Good Health and Well-beingThis work was supported by Mayo Foundation ( DD), FCT Portugal (FACCC and JMP), FNRS Belgium (FCS) and FWO Belgium (SVS).BACKGROUND: There is variability in the cancer phenotype across individuals: two patients with the same tumour may experience different disease life histories, resulting from genetic variation within the tumour and from the interaction between tumour and host. Until now, phenotypic variability has precluded a clear-cut identification of the fundamental characteristics of a given tumour type. METHODS: Using multiple myeloma as an example, we apply the principles of evolutionary game theory to determine the fundamental characteristics that define the phenotypic variability of a tumour. RESULTS: Tumour dynamics is determined by the frequency-dependent fitness of different cell populations, resulting from the benefits and costs accrued by each cell type in the presence of others. Our study shows how the phenotypic variability in multiple myeloma bone disease can be understood through the theoretical approach of a game that allows the identification of key genotypic features in a tumour and provides a natural explanation for phenotypic variability. This analysis also illustrates how complex biochemical signals can be translated into cell fitness that determines disease dynamics. CONCLUSION: The present paradigm is general and extends well beyond multiple myeloma, and even to non-neoplastic disorders. Furthermore, it provides a new perspective in dealing with cancer eradication. Instead of trying to kill all cancer cells, therapies should aim at reducing the fitness of malignant cells compared with normal cells, allowing natural selection to eradicate the tumour. British Journal of Cancer ( 2009) 101, 1130-1136. doi:10.1038/sj.bjc.6605288 www.bjcancer.com Published online 1 September 2009 (C) 2009 Cancer Research UKDM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesRUNDingli, D.Chalub, Fábio Augusto da Costa CarvalhoSantos, F. C.Van Segbroeck, S.Pacheco, Jorge M.2017-10-30T23:01:12Z2009-092009-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/24764eng0007-0920PURE: 488447https://doi.org/10.1038/sj.bjc.6605288info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:12:55Zoai:run.unl.pt:10362/24764Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:07.386613Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
title Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
spellingShingle Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
Dingli, D.
in-vivo
multiple-myeloma
game
inflammatory
cell
dynamics
ecology
myeloma
of
protein
tumor-cells
somatic
bone-disease
staging
1-alpha
multiple
inhibition
evolution
system
transplantation
replicator
cancer
growth
evolutionary
osteoprotegerin
theory
Cancer dynamics
Cancer ecology
Evolutionary game theory of cancer
Multiple myeloma
Replicator cell dynamics
Somatic evolution of cancer
SDG 3 - Good Health and Well-being
title_short Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
title_full Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
title_fullStr Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
title_full_unstemmed Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
title_sort Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells
author Dingli, D.
author_facet Dingli, D.
Chalub, Fábio Augusto da Costa Carvalho
Santos, F. C.
Van Segbroeck, S.
Pacheco, Jorge M.
author_role author
author2 Chalub, Fábio Augusto da Costa Carvalho
Santos, F. C.
Van Segbroeck, S.
Pacheco, Jorge M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
RUN
dc.contributor.author.fl_str_mv Dingli, D.
Chalub, Fábio Augusto da Costa Carvalho
Santos, F. C.
Van Segbroeck, S.
Pacheco, Jorge M.
dc.subject.por.fl_str_mv in-vivo
multiple-myeloma
game
inflammatory
cell
dynamics
ecology
myeloma
of
protein
tumor-cells
somatic
bone-disease
staging
1-alpha
multiple
inhibition
evolution
system
transplantation
replicator
cancer
growth
evolutionary
osteoprotegerin
theory
Cancer dynamics
Cancer ecology
Evolutionary game theory of cancer
Multiple myeloma
Replicator cell dynamics
Somatic evolution of cancer
SDG 3 - Good Health and Well-being
topic in-vivo
multiple-myeloma
game
inflammatory
cell
dynamics
ecology
myeloma
of
protein
tumor-cells
somatic
bone-disease
staging
1-alpha
multiple
inhibition
evolution
system
transplantation
replicator
cancer
growth
evolutionary
osteoprotegerin
theory
Cancer dynamics
Cancer ecology
Evolutionary game theory of cancer
Multiple myeloma
Replicator cell dynamics
Somatic evolution of cancer
SDG 3 - Good Health and Well-being
description This work was supported by Mayo Foundation ( DD), FCT Portugal (FACCC and JMP), FNRS Belgium (FCS) and FWO Belgium (SVS).
publishDate 2009
dc.date.none.fl_str_mv 2009-09
2009-09-01T00:00:00Z
2017-10-30T23:01:12Z
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://hdl.handle.net/10362/24764
url http://hdl.handle.net/10362/24764
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0007-0920
PURE: 488447
https://doi.org/10.1038/sj.bjc.6605288
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137907980632064

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