Abstract：
:Cancer virotherapy represents a dynamical system that requires mathematical modeling for complete understanding of the outcomes. The combination of virotherapy with radiation (radiovirotherapy) has been recently shown to successfully eliminate tumors when virotherapy alone failed. However, it introduces a new level of complexity. We have developed a mathematical model, based on population dynamics, that captures the essential elements of radiovirotherapy. The existence of corresponding equilibrium points related to complete cure, partial cure, and therapy failure is proved and discussed. The parameters of the model were estimated by fitting to experimental data. By using simulations we analyzed the influence of parameters that describe the interaction between virus and tumor cell on the outcome of the therapy. Furthermore, we evaluated relevant therapeutic scenarios for radiovirotherapy, and offered elements for optimization.
journal_name
Math Bioscijournal_title
Mathematical biosciencesauthors
Dingli D,Cascino MD,Josić K,Russell SJ,Bajzer Zdoi
10.1016/j.mbs.2005.11.001subject
Has Abstractpub_date
2006-01-01 00:00:00pages
55-78issue
1eissn
0025-5564issn
1879-3134pii
S0025-5564(05)00204-Xjournal_volume
199pub_type
杂志文章abstract：:Cooperating behaviors abound across all domains of life, but are vulnerable to invasion by cheaters. An important evolutionary question is to determine mechanisms that stabilize and maintain cooperation levels and prevent population collapse. Policing is one strategy populations may employ to achieve this goal, and it...
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更新日期：2015-02-01 00:00:00
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journal_title：Mathematical biosciences
pub_type： 杂志文章,评审
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journal_title：Mathematical biosciences
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更新日期：2018-07-01 00:00:00
abstract：:When ionizing radiation strikes a cell it induces DNA double strand breaks (DSBs). Subsequently, some of the DSBs misrejoin and thus cause alterations in the size distribution of the DNA fragments. We derive a system of non-linear integro-differential equations describing the misrejoining interactions of five classes ...
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pub_type： 杂志文章,评审
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