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Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation
Mathematical modeling techniques have been widely employed to understand how cancer grows, and, more recently, such approaches have been used to understand how cancer can be controlled. In this manuscript, a previously validated hybrid cellular automaton model of tumor growth in a vascularized envir...
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065055/ https://www.ncbi.nlm.nih.gov/pubmed/21461361 http://dx.doi.org/10.1155/2011/830515 |
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author | Gevertz, Jana L. |
author_facet | Gevertz, Jana L. |
author_sort | Gevertz, Jana L. |
collection | PubMed |
description | Mathematical modeling techniques have been widely employed to understand how cancer grows, and, more recently, such approaches have been used to understand how cancer can be controlled. In this manuscript, a previously validated hybrid cellular automaton model of tumor growth in a vascularized environment is used to study the antitumor activity of several vascular-targeting compounds of known efficacy. In particular, this model is used to test the antitumor activity of a clinically used angiogenesis inhibitor (both in isolation, and with a cytotoxic chemotherapeutic) and a vascular disrupting agent currently undergoing clinical trial testing. I demonstrate that the mathematical model can make predictions in agreement with preclinical/clinical data and can also be used to gain more insight into these treatment protocols. The results presented herein suggest that vascular-targeting agents, as currently administered, cannot lead to cancer eradication, although a highly efficacious agent may lead to long-term cancer control. |
format | Text |
id | pubmed-3065055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30650552011-03-31 Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation Gevertz, Jana L. Comput Math Methods Med Research Article Mathematical modeling techniques have been widely employed to understand how cancer grows, and, more recently, such approaches have been used to understand how cancer can be controlled. In this manuscript, a previously validated hybrid cellular automaton model of tumor growth in a vascularized environment is used to study the antitumor activity of several vascular-targeting compounds of known efficacy. In particular, this model is used to test the antitumor activity of a clinically used angiogenesis inhibitor (both in isolation, and with a cytotoxic chemotherapeutic) and a vascular disrupting agent currently undergoing clinical trial testing. I demonstrate that the mathematical model can make predictions in agreement with preclinical/clinical data and can also be used to gain more insight into these treatment protocols. The results presented herein suggest that vascular-targeting agents, as currently administered, cannot lead to cancer eradication, although a highly efficacious agent may lead to long-term cancer control. Hindawi Publishing Corporation 2011 2011-03-23 /pmc/articles/PMC3065055/ /pubmed/21461361 http://dx.doi.org/10.1155/2011/830515 Text en Copyright © 2011 Jana L. Gevertz. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gevertz, Jana L. Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title | Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title_full | Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title_fullStr | Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title_full_unstemmed | Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title_short | Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation |
title_sort | computational modeling of tumor response to vascular-targeting therapies—part i: validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065055/ https://www.ncbi.nlm.nih.gov/pubmed/21461361 http://dx.doi.org/10.1155/2011/830515 |
work_keys_str_mv | AT gevertzjanal computationalmodelingoftumorresponsetovasculartargetingtherapiespartivalidation |