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Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses

Authors :
Quevedo María
Zamora Lisset
Palencia Fabiola
Brooks Soraida
Mateus Miguel
González Tamara
Salas Miriam
Jarque Manuel
González Maraelys
Ciria Héctor
Joa Javier
Aguilera Andrés
Nava Juan
Cabrales Luis
Seringe Sarah
Cuitié Vladimir
Cabrales Idelisa
González Gustavo
Source :
BMC Cancer, Vol 10, Iss 1, p 589 (2010)
Publication Year :
2010
Publisher :
BMC, 2010.

Abstract

Abstract Background Electrotherapy effectiveness at different doses has been demonstrated in preclinical and clinical studies; however, several aspects that occur in the tumor growth kinetics before and after treatment have not yet been revealed. Mathematical modeling is a useful instrument that can reveal some of these aspects. The aim of this paper is to describe the complete growth kinetics of unperturbed and perturbed tumors through use of the modified Gompertz equation in order to generate useful insight into the mechanisms that underpin this devastating disease. Methods The complete tumor growth kinetics for control and treated groups are obtained by interpolation and extrapolation methods with different time steps, using experimental data of fibrosarcoma Sa-37. In the modified Gompertz equation, a delay time is introduced to describe the tumor's natural history before treatment. Different graphical strategies are used in order to reveal new information in the complete kinetics of this tumor type. Results The first stage of complete tumor growth kinetics is highly non linear. The model, at this stage, shows different aspects that agree with those reported theoretically and experimentally. Tumor reversibility and the proportionality between regions before and after electrotherapy are demonstrated. In tumors that reach partial remission, two antagonistic post-treatment processes are induced, whereas in complete remission, two unknown antitumor mechanisms are induced. Conclusion The modified Gompertz equation is likely to lead to insights within cancer research. Such insights hold promise for increasing our understanding of tumors as self-organizing systems and, the possible existence of phase transitions in tumor growth kinetics, which, in turn, may have significant impacts both on cancer research and on clinical practice.

Details

Language :
English
ISSN :
14712407
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.7dcd8a862eb44be39bfc3b09fd8fc0dc
Document Type :
article
Full Text :
https://doi.org/10.1186/1471-2407-10-589