Fractal dimension and universality in avascular tumor growth

被引:14
作者
Ribeiro, Fabiano L. [1 ]
dos Santos, Renato Vieira [1 ]
Mata, Angelica S. [1 ]
机构
[1] Univ Fed Lavras, Dept Fis, BR-37200000 Lavras, MG, Brazil
关键词
MODEL; DYNAMICS; TISSUE; CELLS;
D O I
10.1103/PhysRevE.95.042406
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
For years, the comprehension of the tumor growth process has been intriguing scientists. New research has been constantly required to better understand the complexity of this phenomenon. In this paper, we propose a mathematical model that describes the properties, already known empirically, of avascular tumor growth. We present, from an individual-level (microscopic) framework, an explanation of some phenomenological (macroscopic) aspects of tumors, such as their spatial form and the way they develop. Our approach is based on competitive interaction between the cells. This simple rule makes the model able to reproduce evidence observed in real tumors, such as exponential growth in their early stage followed by power-law growth. The model also reproduces (i) the fractal-space distribution of tumor cells and (ii) the universal growth behavior observed in both animals and tumors. Our analyses suggest that the universal similarity between tumor and animal growth comes from the fact that both can be described by the same dynamic equation-the Bertalanffy-Richards model-even if they do not necessarily share the same biological properties.
引用
收藏
页数:9
相关论文
共 61 条
[1]   Prospective identification of tumorigenic breast cancer cells [J].
Al-Hajj, M ;
Wicha, MS ;
Benito-Hernandez, A ;
Morrison, SJ ;
Clarke, MF .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (07) :3983-3988
[2]  
Alberts B., 2008, MOL BIOL CELL, P2
[3]  
[Anonymous], 1845, Nouv. memoires l'Academie R. des Sci. B.-lett. Bruxelles
[4]  
[Anonymous], 2009, SPRINGER
[5]   A history of the study of solid tumour growth: The contribution of mathematical modelling [J].
Araujo, RP ;
McElwain, DLS .
BULLETIN OF MATHEMATICAL BIOLOGY, 2004, 66 (05) :1039-1091
[6]  
Baish JW, 2000, CANCER RES, V60, P3683
[7]   Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth [J].
Benzekry, Sebastien ;
Lamont, Clare ;
Beheshti, Afshin ;
Tracz, Amanda ;
Ebos, John M. L. ;
Hlatky, Lynn ;
Hahnfeldt, Philip .
PLOS COMPUTATIONAL BIOLOGY, 2014, 10 (08)
[8]   Mathematical modeling of tumor growth and tumor growth inhibition in oncology drug development [J].
Bernard, Apexa ;
Kimko, Holly ;
Mital, Dinesh ;
Poggesi, Italo .
EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY, 2012, 8 (09) :1057-1069
[9]  
Bertalanffy L.Q, 1957, REV BIOL, V32, P217
[10]   Modelling aspects of cancer dynamics: a review [J].
Byrne, H. M. ;
Alarcon, T. ;
Owen, M. R. ;
Webb, S. D. ;
Maini, P. K. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2006, 364 (1843) :1563-1578