Živanović Marko, Gazdić Janković Marina, Ramović Hamzagić Amra, Virijević Katarina, Milivojević Nevena, Pecić Katarina, Šeklić Dragana, Jovanović Milena, Kastratović Nikolina, Mirić Ana, Đukić Tijana, Petrović Ivica, Jurišić Vladimir, Ljujić Biljana, Filipović Nenad
Institute for Information Technologies Kragujevac, University of Kragujevac, Jovana Cvijića bb, 34000 Kragujevac, Serbia.
Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.
Pharmaceutics. 2023 May 31;15(6):1628. doi: 10.3390/pharmaceutics15061628.
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.
如今，生物医学是一门多学科科学，需要采用非常广泛的方法来研究和分析各种现象，以便更好地理解人类健康。本研究致力于运用数值模拟，以更深入地了解在使用商业化疗药物治疗时癌症的存活和凋亡过程。从众多实时检测细胞活力、确定细胞死亡类型以及控制这些过程的遗传因素的实验出发，获得了大量数值结果。这些体外测试结果被用于创建一个数值模型，该模型为我们观察所提出的问题提供了一个新视角。在本研究中，结肠和乳腺癌细胞系（HCT - 116和MDA - MB - 231）以及健康的肺成纤维细胞系（MRC - 5）的模型系统接受了商业化疗药物的处理。结果表明，治疗过程中细胞活力下降，且主要出现晚期凋亡，各参数之间存在很强的相关性。创建了一个数学模型并用于更好地理解所研究的过程。这种方法能够准确模拟癌细胞的行为，并可靠地预测这些细胞的生长。
