Literature DB >> 16324717

The dynamic evolution of the power exponent in a universal growth model of tumors.

Caterina Guiot1, Pier Paolo Delsanto, Alberto Carpinteri, Nicola Pugno, Yuri Mansury, Thomas S Deisboeck.   

Abstract

We have previously reported that a universal growth law, as proposed by West and collaborators for all living organisms, appears to be able to describe also the growth of tumors in vivo after an initial exponential growth phase. In contrast to the assumption of a fixed power exponent p (assumed by West et al. to be equal to 3/4), we propose in this paper a dynamic evolution of p, using experimental data from the cancer literature. In analogy with results obtained by applying scaling laws to the study of fragmentation of solids, the dynamic behaviour of p is related to the evolution of the fractal topology of neoplastic vascular systems. Our model might be applied for diagnostic purposes to mark the emergence of an efficient neo-angiogenetic structure if the results of our in silico experiments are confirmed by clinical observations.

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Year:  2005        PMID: 16324717     DOI: 10.1016/j.jtbi.2005.10.006

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

1.  Using Fractal Geometry and Universal Growth Curves as Diagnostics for Comparing Tumor Vasculature and Metabolic Rate With Healthy Tissue and for Predicting Responses to Drug Therapies.

Authors:  Van M Savage; Alexander B Herman; Geoffrey B West; Kevin Leu
Journal:  Discrete Continuous Dyn Syst Ser B       Date:  2013-06       Impact factor: 1.327

2.  How to cluster gene expression dynamics in response to environmental signals.

Authors:  Yaqun Wang; Meng Xu; Zhong Wang; Ming Tao; Junjia Zhu; Li Wang; Runze Li; Scott A Berceli; Rongling Wu
Journal:  Brief Bioinform       Date:  2011-07-10       Impact factor: 11.622

3.  Oscillations in growth of multicellular tumour spheroids: a revisited quantitative analysis.

Authors:  A S Gliozzi; C Guiot; R Chignola; P P Delsanto
Journal:  Cell Prolif       Date:  2010-08       Impact factor: 6.831

4.  Cancer dissemination: a consequence of limited carrying capacity?

Authors:  Thomas S Deisboeck; Zhihui Wang
Journal:  Med Hypotheses       Date:  2006-12-29       Impact factor: 1.538

Review 5.  Array of translational systems pharmacodynamic models of anti-cancer drugs.

Authors:  Sihem Ait-Oudhia; Donald E Mager
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-10-22       Impact factor: 2.745

6.  A dynamic model for genome-wide association studies.

Authors:  Kiranmoy Das; Jiahan Li; Zhong Wang; Chunfa Tong; Guifang Fu; Yao Li; Meng Xu; Kwangmi Ahn; David Mauger; Runze Li; Rongling Wu
Journal:  Hum Genet       Date:  2011-02-04       Impact factor: 4.132

Review 7.  In silico cancer modeling: is it ready for prime time?

Authors:  Thomas S Deisboeck; Le Zhang; Jeongah Yoon; Jose Costa
Journal:  Nat Clin Pract Oncol       Date:  2008-10-14

8.  A mathematical model for pancreatic cancer growth and treatments.

Authors:  Yoram Louzoun; Chuan Xue; Gregory B Lesinski; Avner Friedman
Journal:  J Theor Biol       Date:  2014-03-01       Impact factor: 2.691

9.  A quantitative theory of solid tumor growth, metabolic rate and vascularization.

Authors:  Alexander B Herman; Van M Savage; Geoffrey B West
Journal:  PLoS One       Date:  2011-09-29       Impact factor: 3.240

10.  Scaling, growth and cyclicity in biology: a new computational approach.

Authors:  Pier Paolo Delsanto; Antonio S Gliozzi; Caterina Guiot
Journal:  Theor Biol Med Model       Date:  2008-02-29       Impact factor: 2.432

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