Document Detail


Complex spatial dynamics of oncolytic viruses in vitro: mathematical and experimental approaches.
MedLine Citation:
PMID:  22719239     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Oncolytic viruses replicate selectively in tumor cells and can serve as targeted treatment agents. While promising results have been observed in clinical trials, consistent success of therapy remains elusive. The dynamics of virus spread through tumor cell populations has been studied both experimentally and computationally. However, a basic understanding of the principles underlying virus spread in spatially structured target cell populations has yet to be obtained. This paper studies such dynamics, using a newly constructed recombinant adenovirus type-5 (Ad5) that expresses enhanced jellyfish green fluorescent protein (EGFP), AdEGFPuci, and grows on human 293 embryonic kidney epithelial cells, allowing us to track cell numbers and spatial patterns over time. The cells are arranged in a two-dimensional setting and allow virus spread to occur only to target cells within the local neighborhood. Despite the simplicity of the setup, complex dynamics are observed. Experiments gave rise to three spatial patterns that we call "hollow ring structure", "filled ring structure", and "disperse pattern". An agent-based, stochastic computational model is used to simulate and interpret the experiments. The model can reproduce the experimentally observed patterns, and identifies key parameters that determine which pattern of virus growth arises. The model is further used to study the long-term outcome of the dynamics for the different growth patterns, and to investigate conditions under which the virus population eliminates the target cells. We find that both the filled ring structure and disperse pattern of initial expansion are indicative of treatment failure, where target cells persist in the long run. The hollow ring structure is associated with either target cell extinction or low-level persistence, both of which can be viewed as treatment success. Interestingly, it is found that equilibrium properties of ordinary differential equations describing the dynamics in local neighborhoods in the agent-based model can predict the outcome of the spatial virus-cell dynamics, which has important practical implications. This analysis provides a first step towards understanding spatial oncolytic virus dynamics, upon which more detailed investigations and further complexity can be built.
Authors:
Dominik Wodarz; Andrew Hofacre; John W Lau; Zhiying Sun; Hung Fan; Natalia L Komarova
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-06-14
Journal Detail:
Title:  PLoS computational biology     Volume:  8     ISSN:  1553-7358     ISO Abbreviation:  PLoS Comput. Biol.     Publication Date:  2012  
Date Detail:
Created Date:  2012-06-21     Completed Date:  2012-10-25     Revised Date:  2013-07-25    
Medline Journal Info:
Nlm Unique ID:  101238922     Medline TA:  PLoS Comput Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e1002547     Citation Subset:  IM    
Affiliation:
Department of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America. dwodarz@uci.edu
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MeSH Terms
Descriptor/Qualifier:
Adenoviruses, Human / genetics,  physiology
Computational Biology
Computer Simulation
Genetic Engineering
Green Fluorescent Proteins / genetics
HEK293 Cells
Humans
Models, Biological*
Neoplasms / therapy,  virology
Oncolytic Virotherapy / methods*
Oncolytic Viruses / genetics,  physiology*
Virus Replication
Grant Support
ID/Acronym/Agency:
1R01CA129286/CA/NCI NIH HHS; P30 CA062203/CA/NCI NIH HHS; R01 AI093998/AI/NIAID NIH HHS; R01AI058153/AI/NIAID NIH HHS
Chemical
Reg. No./Substance:
0/enhanced green fluorescent protein; 147336-22-9/Green Fluorescent Proteins
Comments/Corrections

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