Published October 28, 2010 | Version v1
Journal article

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

  • 1. Universidad de Oriente, Centro Nacional de Electromagnetismo Aplicado, Departamento de Bioelectromagnetismo, Grupo de Bioelectricidad, Av. Las Américas s/n. G.P. 4078. Santiago de Cuba 90400 (Cuba)
  • 2. Departamento de Física, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Laboratorio de Estimulación Magnética, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Ap. Post. 14-740, México, D.F. 07000, México 07360, Distrito Federal (Mexico)
  • 3. Hospital Oncológico Conrado Benítez, Servicio de Mastología. Santiago de Cuba 90500 (Cuba)
  • 4. Hospital Provincial Saturnino Lora, Servicio de medicina Interna. Santiago de Cuba 90500 (Cuba)
  • 5. Universidad de Oriente, Facultad de Ciencias Naturales, Departamento de Farmacia. Patricio Lumumba s/n. Santiago de Cuba 90500 (Cuba)
  • 6. Universidad de Oriente, Facultad de Ciencias Naturales, Departamento de Física. Calle Patricio Lumumba s/n. Santiago de Cuba 90500 (Cuba)
  • 7. Instituto Finley. Ave. 27 No. 19805, La Lisa, A.P. 16017 Cod. 11600. La Habana (Cuba)
  • 8. Universidad de Oriente, Centro de Biofísica Médica, Departamento de Biofísica. Santiago de Cuba 90500 (Cuba)
  • 9. Hospital Infantil Sur, Servicio de Oncohematología. Santiago de Cuba 90200 (Cuba)
  • 10. Dirección Municipal de Salud Pública. Servicio de Genética. Santiago de Cuba 90500. (Cuba)

Description

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. 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. 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. 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

Availability note (English)

Available from http://dx.doi.org/10.1186/1471-2407-10-589; Available from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988748

Additional details

Publishing Information

Journal Title
BMC cancer (Online)
Journal Volume
10
Journal Page Range
p. 589
ISSN
1471-2407

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46098726
Subject category
S38: RADIATION CHEMISTRY, RADIOCHEMISTRY AND NUCLEAR CHEMISTRY; S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
AUGMENTATION; DOSES; EQUATIONS; EXPERIMENTAL DATA; FORECASTING; KINETICS; NEOPLASMS
Descriptors DEC
DATA; DISEASES; INFORMATION; NUMERICAL DATA

Optional Information

Copyright
Copyright (c)2010 Cabrales et al
Notes
PMCID: PMC2988748; PUBLISHER-ID: 1471-2407-10-589; PMID: 21029411; OAI: oai:pubmedcentral.nih.gov:2988748; licensee BioMed Central Ltd.