Bajzer2008 - Modeling of cancer virotherapy with recombinant measles viruses
Ontology highlight
ABSTRACT:
SUBMITTER: 
Johannes Meyer
PROVIDER: BIOMD0000000771 | BioModels | 2021-10-01
REPOSITORIES: BioModels
Publications
Modeling of cancer virotherapy with recombinant measles viruses.
Bajzer Zeljko Z Carr Thomas T Josić Kresimir K Russell Stephen J SJ Dingli David D
Journal of theoretical biology 20080201 1
The Edmonston vaccine strain of measles virus has potent and selective activity against a wide range of tumors. Tumor cells infected by this virus or genetically modified strains express viral proteins that allow them to fuse with neighboring cells to form syncytia that ultimately die. Moreover, infected cells may produce new virus particles that proceed to infect additional tumor cells. We present a model of tumor and virus interactions based on established biology and with proper accounting of ...[more]
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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:
Recent research has indicated that viruses specifically infecting tumor cells could be used as an alternative therapeutic approach in cancer patients. A particular example is the adenovirus ONYX-015, which has entered clinical trials in the context of head and neck cancer. Successful therapy crucially requires an understanding about how viral and host parameters influence tumor load. The interactions between the growing tumor, the replicating virus, and possible immune responses are multifactorial and nonlinear. Hence, a complete understanding of how virus and host characteristics influence the outcome of therapy requires mathematical models. In this study, such mathematical models are presented and analyzed. The study investigates three possible scenarios that could be relevant for therapy: (a) viral cytotoxicity alone kills tumor cells; (b) a virus-specific lytic CTL response contributes to killing of infected tumor cells; (c) the virus elicits immunostimulatory signals within the tumor that promote the development of tumor-specific CTL. The models precisely define conditions required for successful therapy. They identify the parameters that need to be measured and modulated to evaluate and refine the existing therapy regimes.
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