The dynamics of tumorgrowth and cells pattern morphology

The mathematical modeling of tumor growth is an approach to explain thecomplex nature of these systems. A model that describes tumor growth wasobtained by using a mesoscopic formalism and fractal dimension. This modeltheoretically predicts the relation between the morphology of the cellpattern and t...

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Main Authors: Elena Izquierdo-Kulich, Margarita Amigó de Quesada, Carlos Manuel Pérez-Amor, Magda Lopes Texeira, José Manuel Nieto-Villar
Format: Article
Language:English
Published: AIMS Press 2009-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.547
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author Elena Izquierdo-Kulich
Margarita Amigó de Quesada
Carlos Manuel Pérez-Amor
Magda Lopes Texeira
José Manuel Nieto-Villar
author_facet Elena Izquierdo-Kulich
Margarita Amigó de Quesada
Carlos Manuel Pérez-Amor
Magda Lopes Texeira
José Manuel Nieto-Villar
author_sort Elena Izquierdo-Kulich
collection DOAJ
description The mathematical modeling of tumor growth is an approach to explain thecomplex nature of these systems. A model that describes tumor growth wasobtained by using a mesoscopic formalism and fractal dimension. This modeltheoretically predicts the relation between the morphology of the cellpattern and the mitosis/apoptosis quotient that helps to predict tumorgrowth from tumoral cells fractal dimension. The relation between the tumormacroscopic morphology and the cell pattern morphology is also determined.This could explain why the interface fractal dimension decreases with theincrease of the cell pattern fractal dimension and consequently with theincrease of the mitosis/apoptosis relation. Indexes to characterize tumoralcell proliferation and invasion capacities are proposed and used to predictthe growth of different types of tumors. These indexes also show that theproliferation capacity is directly proportional to the invasion capacity.The proposed model assumes: i) only interface cells proliferate and invadethe host, and ii) the fractal dimension of tumoral cell patterns, canreproduce the Gompertzian growth law.
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publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-e5dcf8bceb4844a189df65e6546637672025-01-24T01:59:54ZengAIMS PressMathematical Biosciences and Engineering1551-00182009-05-016354755910.3934/mbe.2009.6.547The dynamics of tumorgrowth and cells pattern morphologyElena Izquierdo-Kulich0Margarita Amigó de Quesada1Carlos Manuel Pérez-Amor2Magda Lopes Texeira3José Manuel Nieto-Villar4Department of Physical-Chemistry, Faculty of Chemistry, University of Havana, HavanaDepartment of Physical-Chemistry, Faculty of Chemistry, University of Havana, HavanaDepartment of Physical-Chemistry, Faculty of Chemistry, University of Havana, HavanaDepartment of Physical-Chemistry, Faculty of Chemistry, University of Havana, HavanaDepartment of Physical-Chemistry, Faculty of Chemistry, University of Havana, HavanaThe mathematical modeling of tumor growth is an approach to explain thecomplex nature of these systems. A model that describes tumor growth wasobtained by using a mesoscopic formalism and fractal dimension. This modeltheoretically predicts the relation between the morphology of the cellpattern and the mitosis/apoptosis quotient that helps to predict tumorgrowth from tumoral cells fractal dimension. The relation between the tumormacroscopic morphology and the cell pattern morphology is also determined.This could explain why the interface fractal dimension decreases with theincrease of the cell pattern fractal dimension and consequently with theincrease of the mitosis/apoptosis relation. Indexes to characterize tumoralcell proliferation and invasion capacities are proposed and used to predictthe growth of different types of tumors. These indexes also show that theproliferation capacity is directly proportional to the invasion capacity.The proposed model assumes: i) only interface cells proliferate and invadethe host, and ii) the fractal dimension of tumoral cell patterns, canreproduce the Gompertzian growth law.https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.547pattern cell morphology.mesoscopic modelfractalstochastic modeltumor growth
spellingShingle Elena Izquierdo-Kulich
Margarita Amigó de Quesada
Carlos Manuel Pérez-Amor
Magda Lopes Texeira
José Manuel Nieto-Villar
The dynamics of tumorgrowth and cells pattern morphology
Mathematical Biosciences and Engineering
pattern cell morphology.
mesoscopic model
fractal
stochastic model
tumor growth
title The dynamics of tumorgrowth and cells pattern morphology
title_full The dynamics of tumorgrowth and cells pattern morphology
title_fullStr The dynamics of tumorgrowth and cells pattern morphology
title_full_unstemmed The dynamics of tumorgrowth and cells pattern morphology
title_short The dynamics of tumorgrowth and cells pattern morphology
title_sort dynamics of tumorgrowth and cells pattern morphology
topic pattern cell morphology.
mesoscopic model
fractal
stochastic model
tumor growth
url https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.547
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