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Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters
Simple, inductive mathematical models of oncolytic virotherapy are needed to guide protocol design and improve treatment outcomes. Analysis of plasmacytomas regressing after a single intravenous dose of oncolytic vesicular stomatitis virus in myeloma animal models revealed that intratumoral virus sp...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770695/ https://www.ncbi.nlm.nih.gov/pubmed/24040057 http://dx.doi.org/10.1371/journal.pone.0073759 |
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author | Bailey, Kent Kirk, Amber Naik, Shruthi Nace, Rebecca Steele, Michael B. Suksanpaisan, Lukkana Li, Xing Federspiel, Mark J. Peng, Kah-Whye Kirk, David Russell, Stephen J. |
author_facet | Bailey, Kent Kirk, Amber Naik, Shruthi Nace, Rebecca Steele, Michael B. Suksanpaisan, Lukkana Li, Xing Federspiel, Mark J. Peng, Kah-Whye Kirk, David Russell, Stephen J. |
author_sort | Bailey, Kent |
collection | PubMed |
description | Simple, inductive mathematical models of oncolytic virotherapy are needed to guide protocol design and improve treatment outcomes. Analysis of plasmacytomas regressing after a single intravenous dose of oncolytic vesicular stomatitis virus in myeloma animal models revealed that intratumoral virus spread was spatially constrained, occurring almost exclusively through radial expansion of randomly distributed infectious centers. From these experimental observations we developed a simple model to calculate the probability of survival for any cell within a treated tumor. The model predicted that small changes to the density of initially infected cells or to the average maximum radius of infected centers would have a major impact on treatment outcome, and this was confirmed experimentally. The new model provides a useful and flexible tool for virotherapy protocol optimization. |
format | Online Article Text |
id | pubmed-3770695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37706952013-09-13 Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters Bailey, Kent Kirk, Amber Naik, Shruthi Nace, Rebecca Steele, Michael B. Suksanpaisan, Lukkana Li, Xing Federspiel, Mark J. Peng, Kah-Whye Kirk, David Russell, Stephen J. PLoS One Research Article Simple, inductive mathematical models of oncolytic virotherapy are needed to guide protocol design and improve treatment outcomes. Analysis of plasmacytomas regressing after a single intravenous dose of oncolytic vesicular stomatitis virus in myeloma animal models revealed that intratumoral virus spread was spatially constrained, occurring almost exclusively through radial expansion of randomly distributed infectious centers. From these experimental observations we developed a simple model to calculate the probability of survival for any cell within a treated tumor. The model predicted that small changes to the density of initially infected cells or to the average maximum radius of infected centers would have a major impact on treatment outcome, and this was confirmed experimentally. The new model provides a useful and flexible tool for virotherapy protocol optimization. Public Library of Science 2013-09-11 /pmc/articles/PMC3770695/ /pubmed/24040057 http://dx.doi.org/10.1371/journal.pone.0073759 Text en © 2013 Bailey et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bailey, Kent Kirk, Amber Naik, Shruthi Nace, Rebecca Steele, Michael B. Suksanpaisan, Lukkana Li, Xing Federspiel, Mark J. Peng, Kah-Whye Kirk, David Russell, Stephen J. Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title | Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title_full | Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title_fullStr | Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title_full_unstemmed | Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title_short | Mathematical Model for Radial Expansion and Conflation of Intratumoral Infectious Centers Predicts Curative Oncolytic Virotherapy Parameters |
title_sort | mathematical model for radial expansion and conflation of intratumoral infectious centers predicts curative oncolytic virotherapy parameters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770695/ https://www.ncbi.nlm.nih.gov/pubmed/24040057 http://dx.doi.org/10.1371/journal.pone.0073759 |
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