Journal of Medical Signals & Sensors

ORIGINAL ARTICLE
Year
: 2022  |  Volume : 12  |  Issue : 3  |  Page : 202--218

Predicting efficacy of 5-fluorouracil therapy via a mathematical model with fuzzy uncertain parameters


Sajad Shafiekhani1, Amir Homayoun Jafari2, Leila Jafarzadeh3, Vahid Sadeghi4, Nematollah Gheibi5 
1 Department of Biomedical Engineering, Research Center for Biomedical Technologies and Robotics, School of Medicine; Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
2 Departments of Biomedical Engineering, Research Center for Biomedical Technologies and Robotics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
3 Department of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
4 Department of Biomedical Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
5 Department of Medical Biotechnology, School of Paramedical Sciences; Cellular and Molecular Research Center, Research Institute for Prevention of Noncommunicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran

Correspondence Address:

Background: Due to imprecise/missing data used for parameterization of ordinary differential equations (ODEs), model parameters are uncertain. Uncertainty of parameters has hindered the application of ODEs that require accurate parameters. Methods: We extended an available ODE model of tumor-immune system interactions via fuzzy logic to illustrate the fuzzification procedure of an ODE model. The fuzzy ODE (FODE) model assigns a fuzzy number to the parameters, to capture parametric uncertainty. We used the FODE model to predict tumor and immune cell dynamics and to assess the efficacy of 5-fluorouracil (5-FU) chemotherapy. Result: FODE model investigates how parametric uncertainty affects the uncertainty band of cell dynamics in the presence and absence of 5-FU treatment. In silico experiments revealed that the frequent 5-FU injection created a beneficial tumor microenvironment that exerted detrimental effects on tumor cells by enhancing the infiltration of CD8+ T cells, and natural killer cells, and decreasing that of myeloid-derived suppressor cells. The global sensitivity analysis was proved model robustness against random perturbation to parameters. Conclusion: ODE models with fuzzy uncertain kinetic parameters cope with insufficient/imprecise experimental data in the field of mathematical oncology and can predict cell dynamics uncertainty band.


How to cite this article:
Shafiekhani S, Jafari AH, Jafarzadeh L, Sadeghi V, Gheibi N. Predicting efficacy of 5-fluorouracil therapy via a mathematical model with fuzzy uncertain parameters.J Med Signals Sens 2022;12:202-218


How to cite this URL:
Shafiekhani S, Jafari AH, Jafarzadeh L, Sadeghi V, Gheibi N. Predicting efficacy of 5-fluorouracil therapy via a mathematical model with fuzzy uncertain parameters. J Med Signals Sens [serial online] 2022 [cited 2022 Sep 24 ];12:202-218
Available from: https://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=3;spage=202;epage=218;aulast=Shafiekhani;type=0