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Cancer control through principles of systems science, complexity, and chaos theory: A model

Cancer is a significant medical and societal problem. This reality arises from the fact that an exponential and an unrestricted cellular growth destabilizes human body as a system. From this perspective, cancer is a manifestation of a system-in-failing. A model of normal and abnormal cell cycle osci...

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Autor principal: Janecka, Ivo P.
Formato: Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891444/
https://www.ncbi.nlm.nih.gov/pubmed/17589568
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author Janecka, Ivo P.
author_facet Janecka, Ivo P.
author_sort Janecka, Ivo P.
collection PubMed
description Cancer is a significant medical and societal problem. This reality arises from the fact that an exponential and an unrestricted cellular growth destabilizes human body as a system. From this perspective, cancer is a manifestation of a system-in-failing. A model of normal and abnormal cell cycle oscillations has been developed incorporating systems science, complexity, and chaos theories. Using this model, cancer expresses a failing subsystem and is characterized by a positive exponential growth taking place in the outer edge of chaos. The overall survival of human body as a system is threatened. This model suggests, however, that cancer's exponential cellular growth and disorganized complexity could be controlled through the process of induction of differentiation of cancer stem cells into cells of low and basic functionality. This concept would imply reorientation of current treatment principles from cellular killing (cyto-toxic therapies) to cellular retraining (cyto-education).
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spelling pubmed-18914442007-06-22 Cancer control through principles of systems science, complexity, and chaos theory: A model Janecka, Ivo P. Int J Med Sci Research Paper Cancer is a significant medical and societal problem. This reality arises from the fact that an exponential and an unrestricted cellular growth destabilizes human body as a system. From this perspective, cancer is a manifestation of a system-in-failing. A model of normal and abnormal cell cycle oscillations has been developed incorporating systems science, complexity, and chaos theories. Using this model, cancer expresses a failing subsystem and is characterized by a positive exponential growth taking place in the outer edge of chaos. The overall survival of human body as a system is threatened. This model suggests, however, that cancer's exponential cellular growth and disorganized complexity could be controlled through the process of induction of differentiation of cancer stem cells into cells of low and basic functionality. This concept would imply reorientation of current treatment principles from cellular killing (cyto-toxic therapies) to cellular retraining (cyto-education). Ivyspring International Publisher 2007-06-05 /pmc/articles/PMC1891444/ /pubmed/17589568 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
spellingShingle Research Paper
Janecka, Ivo P.
Cancer control through principles of systems science, complexity, and chaos theory: A model
title Cancer control through principles of systems science, complexity, and chaos theory: A model
title_full Cancer control through principles of systems science, complexity, and chaos theory: A model
title_fullStr Cancer control through principles of systems science, complexity, and chaos theory: A model
title_full_unstemmed Cancer control through principles of systems science, complexity, and chaos theory: A model
title_short Cancer control through principles of systems science, complexity, and chaos theory: A model
title_sort cancer control through principles of systems science, complexity, and chaos theory: a model
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891444/
https://www.ncbi.nlm.nih.gov/pubmed/17589568
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