Literature DB >> 19566125

The dynamics of tumor growth and cells pattern morphology.

Elena Izquierdo-Kulich1, Margarita Amigó de Quesada, Carlos Manuel Pérez-Amor, Magda Lopes Texeira, José Manuel Nieto-Villar.   

Abstract

The mathematical modeling of tumor growth is an approach to explain the complex nature of these systems. A model that describes tumor growth was obtained by using a mesoscopic formalism and fractal dimension. This model theoretically predicts the relation between the morphology of the cell pattern and the mitosis/apoptosis quotient that helps to predict tumor growth from tumoral cells fractal dimension. The relation between the tumor macroscopic morphology and the cell pattern morphology is also determined. This could explain why the interface fractal dimension decreases with the increase of the cell pattern fractal dimension and consequently with the increase of the mitosis/apoptosis relation. Indexes to characterize tumoral cell proliferation and invasion capacities are proposed and used to predict the growth of different types of tumors. These indexes also show that the proliferation capacity is directly proportional to the invasion capacity. The proposed model assumes: i) only interface cells proliferate and invade the host, and ii) the fractal dimension of tumoral cell patterns, can reproduce the Gompertzian growth law.

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Year:  2009        PMID: 19566125     DOI: 10.3934/mbe.2009.6.547

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  2 in total

Review 1.  A Review of Mathematical and Computational Methods in Cancer Dynamics.

Authors:  Abicumaran Uthamacumaran; Hector Zenil
Journal:  Front Oncol       Date:  2022-07-25       Impact factor: 5.738

2.  New formulation of the Gompertz equation to describe the kinetics of untreated tumors.

Authors:  Antonio Rafael Selva Castañeda; Erick Ramírez Torres; Narciso Antonio Villar Goris; Maraelys Morales González; Juan Bory Reyes; Victoriano Gustavo Sierra González; María Schonbek; Juan Ignacio Montijano; Luis Enrique Bergues Cabrales
Journal:  PLoS One       Date:  2019-11-12       Impact factor: 3.240

  2 in total

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