Wang2019 - A mathematical model of oncolytic virotherapy with time delay
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ABSTRACT:
SUBMITTER: 
Johannes Meyer
PROVIDER: BIOMD0000000772 | BioModels | 2019-12-18
REPOSITORIES: BioModels
Publications
A mathematical model of oncolytic virotherapy with time delay.
Wang Zi Zi ZZ Guo Zhi Ming ZM Smith Hal H
Mathematical biosciences and engineering : MBE 20190301 4
Oncolytic virotherapy is an emerging treatment modality which uses replication-competent viruses to destroy cancers without causing harm to normal tissues. By the development of molecular biotechnology, many effective viruses are adapted or engineered to make them cancer-specific, such as measles, adenovirus, herpes simplex virus and M1 virus. A successful design of virus needs a full understanding about how viral and host parameters influence the tumor load. In this paper, we propose a mathemat ...[more]
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Created by COPASI 4.25 (Build 207)
This model is described in the article:
The Role of the Innate Immune System in Oncolytic Virotherapy
Tuan Anh Phan and Jianjun Paul Tian
Computational and Mathematical Methods in Medicine (2017) 6587258
Abstract:
The complexity of the immune responses is a major challenge in current virotherapy. This study incorporates the innate immune response into our basic model for virotherapy and investigates how the innate immunity affects the outcome of virotherapy. The viral therapeutic dynamics is largely determined by the viral burst size, relative innate immune killing rate, and relative innate immunity decay rate. The innate immunity may complicate virotherapy in the way of creating more equilibria when the viral burst size is not too big, while the dynamics is similar to the system without innate immunity when the viral burst size is big.
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Project description:This mathematical model of the dynamics between tumor, virus and virus-specific CTL populations is described by the publication:
Wodarz D. "Viruses as antitumor weapons: defining conditions for tumor remission". Cancer Res. 2001 Apr 15;61(8):3501-7.
PMID: 11309314
Comment:
Reproduction of Fig. 3A was achieved by using the initial conditions infected_tumor_cells = 0.01, uninfected_tumor_cells = 0.0001, virus-specific_CTLs = 0, and with modified parameter sets.
For Fig. 3A non-cytotoxic virus, k = 17 and beta= 0.5.
For Fig. 3A cytotoxic virus, beta = 0.5.
These simulation conditions yield plots similar to Fig. 3A in the manuscript.
Abstract:
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