Stationary distribution and persistence of a stochastic mathematical model for prostate cancer with pulsed therapy
Chen, Lin, Yang, Jin, Tan, Yuanshan, Liu, Zijian and Cheke, Robert A. ORCID: https://orcid.org/0000-0002-7437-1934 (2022) Stationary distribution and persistence of a stochastic mathematical model for prostate cancer with pulsed therapy. Applied Mathematical Modelling, 114. pp. 162-188. ISSN 0307-904X (Print), 1872-8480 (Online) (doi:10.1016/j.apm.2022.10.007)
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Abstract
Intermittent androgen deprivation therapy is one of the most commonly used therapeutic regimens for treating prostate cancer. Immunotherapy with dendritic cells, which act as the most robust antigen-presenting cells, are regarded as an effective method for the treatment of advanced prostate cancer. This paper utilizes impulsive differential equations to describe the combinations of a dendritic cell vaccine and intermittent androgen therapy with white noise. The tumour-free solution is obtained and the unique global positive solution of the system is explored. Then it is proved that the solutions of the system are stochastic ultimately bounded and stochastically permanent. In addition, threshold conditions for the extinction and persistence of prostate cancer cells are derived, and the stationary distribution and ergodicity of the system are investigated. Finally, numerical studies and the biological significance of the results are discussed.
Item Type: | Article |
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Uncontrolled Keywords: | cancer model; pulsed therapy; extinction and permanence; stationary distribution |
Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > Natural Resources Institute Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department Faculty of Engineering & Science > Natural Resources Institute > Centre for Sustainable Agriculture 4 One Health Faculty of Engineering & Science > Natural Resources Institute > Centre for Sustainable Agriculture 4 One Health > Behavioural Ecology |
Last Modified: | 27 Nov 2024 14:29 |
URI: | http://gala.gre.ac.uk/id/eprint/37746 |
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