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This article is cited in 1 scientific paper (total in 1 paper)
Mathematical Modeling
Hyperactivation of the p53–microRNA signaling pathway: mathematical model of variants of antitumor therapy
O. F. Voropaeva, P. D. Lisachev, S. D. Senotrusova, Yu. I. Shokin Institute of Computational Technologies of Siberian Branch of the RAS, Novosibirsk, Russia
Abstract:
We carried out a numerical simulation of the system p53–inhibitor–microRNA. A minimal mathematical model was used, which describes only the most common features of the functioning of a biological system with a negative feedback p53–inhibitory protein and a positive feedback p53–microRNA. Adequacy of the accepted model and results of the computational analysis is confirmed by agreement with published data of biological experiments. In the frames of the accepted model, possible strategies were descried for the restoration of the p53 and its target microRNAs normal levels for cancer prevention. In addition, possible variants of anticancer therapies were studied, which are associated with the hyperactivation of the regulators of apoptosis p53 and microRNAs. Our results demonstrate potentially high effectiveness of the anticancer therapy targeted on the p53 inhibitor, which is a critical element of the positive feedback chain p53–microRNA.
Key words:
numerical simulation, delay differential equation, tumor marker, p53, Mdm2, Wip1, microRNA, positive feedback.
Received 16.05.2019, 11.06.2019, Published 28.06.2019
Citation:
O. F. Voropaeva, P. D. Lisachev, S. D. Senotrusova, Yu. I. Shokin, “Hyperactivation of the p53–microRNA signaling pathway: mathematical model of variants of antitumor therapy”, Mat. Biolog. Bioinform., 14:1 (2019), 355–372
Linking options:
https://www.mathnet.ru/eng/mbb389 https://www.mathnet.ru/eng/mbb/v14/i1/p355
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Abstract page: | 132 | Full-text PDF : | 68 | References: | 14 |
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