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

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...

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Autores principales: Cabrales, Luis E Bergues, Nava, Juan J Godina, Aguilera, Andrés Ramírez, Joa, Javier A González, Ciria, Héctor M Camué, González, Maraelys Morales, Salas, Miriam Fariñas, Jarque, Manuel Verdecia, González, Tamara Rubio, Mateus, Miguel A O'Farril, Brooks, Soraida C Acosta, Palencia, Fabiola Suárez, Zamora, Lisset Ortiz, Quevedo, María C Céspedes, Seringe, Sarah Edward, Cuitié, Vladimir Crombet, Cabrales, Idelisa Bergues, González, Gustavo Sierra
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988748/
https://www.ncbi.nlm.nih.gov/pubmed/21029411
http://dx.doi.org/10.1186/1471-2407-10-589
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author Cabrales, Luis E Bergues
Nava, Juan J Godina
Aguilera, Andrés Ramírez
Joa, Javier A González
Ciria, Héctor M Camué
González, Maraelys Morales
Salas, Miriam Fariñas
Jarque, Manuel Verdecia
González, Tamara Rubio
Mateus, Miguel A O'Farril
Brooks, Soraida C Acosta
Palencia, Fabiola Suárez
Zamora, Lisset Ortiz
Quevedo, María C Céspedes
Seringe, Sarah Edward
Cuitié, Vladimir Crombet
Cabrales, Idelisa Bergues
González, Gustavo Sierra
author_facet Cabrales, Luis E Bergues
Nava, Juan J Godina
Aguilera, Andrés Ramírez
Joa, Javier A González
Ciria, Héctor M Camué
González, Maraelys Morales
Salas, Miriam Fariñas
Jarque, Manuel Verdecia
González, Tamara Rubio
Mateus, Miguel A O'Farril
Brooks, Soraida C Acosta
Palencia, Fabiola Suárez
Zamora, Lisset Ortiz
Quevedo, María C Céspedes
Seringe, Sarah Edward
Cuitié, Vladimir Crombet
Cabrales, Idelisa Bergues
González, Gustavo Sierra
author_sort Cabrales, Luis E Bergues
collection PubMed
description 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.
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spelling pubmed-29887482010-12-06 Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses Cabrales, Luis E Bergues Nava, Juan J Godina Aguilera, Andrés Ramírez Joa, Javier A González Ciria, Héctor M Camué González, Maraelys Morales Salas, Miriam Fariñas Jarque, Manuel Verdecia González, Tamara Rubio Mateus, Miguel A O'Farril Brooks, Soraida C Acosta Palencia, Fabiola Suárez Zamora, Lisset Ortiz Quevedo, María C Céspedes Seringe, Sarah Edward Cuitié, Vladimir Crombet Cabrales, Idelisa Bergues González, Gustavo Sierra BMC Cancer Research Article 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. BioMed Central 2010-10-28 /pmc/articles/PMC2988748/ /pubmed/21029411 http://dx.doi.org/10.1186/1471-2407-10-589 Text en Copyright ©2010 Cabrales et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cabrales, Luis E Bergues
Nava, Juan J Godina
Aguilera, Andrés Ramírez
Joa, Javier A González
Ciria, Héctor M Camué
González, Maraelys Morales
Salas, Miriam Fariñas
Jarque, Manuel Verdecia
González, Tamara Rubio
Mateus, Miguel A O'Farril
Brooks, Soraida C Acosta
Palencia, Fabiola Suárez
Zamora, Lisset Ortiz
Quevedo, María C Céspedes
Seringe, Sarah Edward
Cuitié, Vladimir Crombet
Cabrales, Idelisa Bergues
González, Gustavo Sierra
Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title_full Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title_fullStr Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title_full_unstemmed Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title_short Modified Gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
title_sort modified gompertz equation for electrotherapy murine tumor growth kinetics: predictions and new hypotheses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988748/
https://www.ncbi.nlm.nih.gov/pubmed/21029411
http://dx.doi.org/10.1186/1471-2407-10-589
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