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Article

Combined Biological and Numerical Modeling Approach for Better Understanding of the Cancer Viability and Apoptosis

by
Marko Živanović
1,*,
Marina Gazdić Janković
2,
Amra Ramović Hamzagić
2,
Katarina Virijević
1,
Nevena Milivojević
1,
Katarina Pecić
1,
Dragana Šeklić
1,
Milena Jovanović
3,
Nikolina Kastratović
2,
Ana Mirić
1,
Tijana Đukić
1,
Ivica Petrović
2,
Vladimir Jurišić
2,
Biljana Ljujić
2 and
Nenad Filipović
4,5
1
Institute for Information Technologies Kragujevac, University of Kragujevac, Jovana Cvijića bb, 34000 Kragujevac, Serbia
2
Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia
3
Faculty of Sciences, University of Kragujevac, Radoja Domanovića 12, 34000 Kragujevac, Serbia
4
Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia
5
Bioengineering Research and Development Center (BioIRC), Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia
*
Author to whom correspondence should be addressed.
Pharmaceutics 2023, 15(6), 1628; https://doi.org/10.3390/pharmaceutics15061628
Submission received: 7 April 2023 / Revised: 22 May 2023 / Accepted: 23 May 2023 / Published: 31 May 2023
(This article belongs to the Section Pharmacokinetics and Pharmacodynamics)

Abstract

Nowadays, biomedicine is a multidisciplinary science that requires a very broad approach to the study and analysis of various phenomena essential for a better understanding of human health. This study deals with the use of numerical simulations to better understand the processes of cancer viability and apoptosis in treatment with commercial chemotherapeutics. Starting from many experiments examining cell viability in real-time, determining the type of cell death and genetic factors that control these processes, a lot of numerical results were obtained. These in vitro test results were used to create a numerical model that gives us a new angle of observation of the proposed problem. Model systems of colon and breast cancer cell lines (HCT-116 and MDA-MB-231), as well as a healthy lung fibroblast cell line (MRC-5), were treated with commercial chemotherapeutics in this study. The results indicate a decrease in viability and the appearance of predominantly late apoptosis in the treatment, a strong correlation between parameters. A mathematical model was created and employed for a better understanding of investigated processes. Such an approach is capable of accurately simulating the behavior of cancer cells and reliably predicting the growth of these cells.
Keywords: numerical modelling; cancer; cytostatics; cell viability; apoptosis; gene expression numerical modelling; cancer; cytostatics; cell viability; apoptosis; gene expression
Graphical Abstract

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MDPI and ACS Style

Živanović, M.; Gazdić Janković, M.; Ramović Hamzagić, A.; Virijević, K.; Milivojević, N.; Pecić, K.; Šeklić, D.; Jovanović, M.; Kastratović, N.; Mirić, A.; et al. Combined Biological and Numerical Modeling Approach for Better Understanding of the Cancer Viability and Apoptosis. Pharmaceutics 2023, 15, 1628. https://doi.org/10.3390/pharmaceutics15061628

AMA Style

Živanović M, Gazdić Janković M, Ramović Hamzagić A, Virijević K, Milivojević N, Pecić K, Šeklić D, Jovanović M, Kastratović N, Mirić A, et al. Combined Biological and Numerical Modeling Approach for Better Understanding of the Cancer Viability and Apoptosis. Pharmaceutics. 2023; 15(6):1628. https://doi.org/10.3390/pharmaceutics15061628

Chicago/Turabian Style

Živanović, Marko, Marina Gazdić Janković, Amra Ramović Hamzagić, Katarina Virijević, Nevena Milivojević, Katarina Pecić, Dragana Šeklić, Milena Jovanović, Nikolina Kastratović, Ana Mirić, and et al. 2023. "Combined Biological and Numerical Modeling Approach for Better Understanding of the Cancer Viability and Apoptosis" Pharmaceutics 15, no. 6: 1628. https://doi.org/10.3390/pharmaceutics15061628

APA Style

Živanović, M., Gazdić Janković, M., Ramović Hamzagić, A., Virijević, K., Milivojević, N., Pecić, K., Šeklić, D., Jovanović, M., Kastratović, N., Mirić, A., Đukić, T., Petrović, I., Jurišić, V., Ljujić, B., & Filipović, N. (2023). Combined Biological and Numerical Modeling Approach for Better Understanding of the Cancer Viability and Apoptosis. Pharmaceutics, 15(6), 1628. https://doi.org/10.3390/pharmaceutics15061628

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