Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.

Computational models in the field of cancer research have focused primarily on estimates of biological events based on laboratory generated data. We introduce a novel in-silico technology that takes us to the next level of prediction models and facilitates innovative solutions through the mathematic...

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Autores principales:	Megan Olsen, Nava Siegelmann-Danieli, Hava T Siegelmann
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/435d297829ba42ddb8a75b2a135a9785
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spelling	oai:doaj.org-article:435d297829ba42ddb8a75b2a135a97852021-12-02T20:21:41ZDynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.1932-620310.1371/journal.pone.0010637https://doaj.org/article/435d297829ba42ddb8a75b2a135a97852010-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20498709/?tool=EBIhttps://doaj.org/toc/1932-6203Computational models in the field of cancer research have focused primarily on estimates of biological events based on laboratory generated data. We introduce a novel in-silico technology that takes us to the next level of prediction models and facilitates innovative solutions through the mathematical system. The model's building blocks are cells defined phenotypically as normal or tumor, with biological processes translated into equations describing the life protocols of the cells in a quantitative and stochastic manner. The essentials of communication in a society composed of normal and tumor cells are explored to reveal "protocols" for selective tumor eradication. Results consistently identify "citizenship properties" among cells that are essential for the induction of healing processes in a healthy system invaded by cancer. These properties act via inter-cellular communication protocols that can be optimized to induce tumor eradication along with system recovery. Within the computational systems, the protocols universally succeed in removing a wide variety of tumors defined by proliferation rates, initial volumes, and apoptosis resistant phenotypes; they show high adaptability for biological details and allow incorporation of population heterogeneity. These protocols work as long as at least 32% of cells obey extra-cellular commands and at least 28% of cancer cells report their deaths. This low percentage implies that the protocols are resilient to the suboptimal situations often seen in biological systems. We conclude that our in-silico model is a powerful tool to investigate, to propose, and to exercise logical anti-cancer solutions. Functional results should be confirmed in a biological system and molecular findings should be loaded into the computational model for the next level of directed experiments.Megan OlsenNava Siegelmann-DanieliHava T SiegelmannPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 5, p e10637 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Megan Olsen Nava Siegelmann-Danieli Hava T Siegelmann Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
description	Computational models in the field of cancer research have focused primarily on estimates of biological events based on laboratory generated data. We introduce a novel in-silico technology that takes us to the next level of prediction models and facilitates innovative solutions through the mathematical system. The model's building blocks are cells defined phenotypically as normal or tumor, with biological processes translated into equations describing the life protocols of the cells in a quantitative and stochastic manner. The essentials of communication in a society composed of normal and tumor cells are explored to reveal "protocols" for selective tumor eradication. Results consistently identify "citizenship properties" among cells that are essential for the induction of healing processes in a healthy system invaded by cancer. These properties act via inter-cellular communication protocols that can be optimized to induce tumor eradication along with system recovery. Within the computational systems, the protocols universally succeed in removing a wide variety of tumors defined by proliferation rates, initial volumes, and apoptosis resistant phenotypes; they show high adaptability for biological details and allow incorporation of population heterogeneity. These protocols work as long as at least 32% of cells obey extra-cellular commands and at least 28% of cancer cells report their deaths. This low percentage implies that the protocols are resilient to the suboptimal situations often seen in biological systems. We conclude that our in-silico model is a powerful tool to investigate, to propose, and to exercise logical anti-cancer solutions. Functional results should be confirmed in a biological system and molecular findings should be loaded into the computational model for the next level of directed experiments.
format	article
author	Megan Olsen Nava Siegelmann-Danieli Hava T Siegelmann
author_facet	Megan Olsen Nava Siegelmann-Danieli Hava T Siegelmann
author_sort	Megan Olsen
title	Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
title_short	Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
title_full	Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
title_fullStr	Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
title_full_unstemmed	Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
title_sort	dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/435d297829ba42ddb8a75b2a135a9785
work_keys_str_mv	AT meganolsen dynamiccomputationalmodelsuggeststhatcellularcitizenshipisfundamentalforselectivetumorapoptosis AT navasiegelmanndanieli dynamiccomputationalmodelsuggeststhatcellularcitizenshipisfundamentalforselectivetumorapoptosis AT havatsiegelmann dynamiccomputationalmodelsuggeststhatcellularcitizenshipisfundamentalforselectivetumorapoptosis
_version_	1718374103316955136

Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.

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