Mathematical modeling of glioma therapy using oncolytic viruses
Diffuse infiltrative gliomas are adjudged to be the most common primary brain tumors in adults and theytend to blend in extensively in the brain micro-environment. This makes it difficult for medicalpractitioners to successfully plan effective treatments. In attempts to prolong the lengths of surviv...
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Format: | Article |
Language: | English |
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AIMS Press
2013-03-01
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Series: | Mathematical Biosciences and Engineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.565 |
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author | Baba Issa Camara Houda Mokrani Evans K. Afenya |
author_facet | Baba Issa Camara Houda Mokrani Evans K. Afenya |
author_sort | Baba Issa Camara |
collection | DOAJ |
description | Diffuse infiltrative gliomas are adjudged to be the most common primary brain tumors in adults and theytend to blend in extensively in the brain micro-environment. This makes it difficult for medicalpractitioners to successfully plan effective treatments. In attempts to prolong the lengths of survivaltimes for patients with malignant brain tumors, novel therapeutic alternatives such as gene therapy withoncolytic viruses are currently being explored. Based on such approaches and existing work, a spatio-temporal model that describes interaction between tumor cells and oncolytic viruses is developed.Conditions that lead to optimal therapy in minimizing cancer cell proliferation and otherwise areanalytically demonstrated. Numerical simulations are conducted with the aim of showing the impact ofvirotherapy on proliferation or invasion of cancer cells and of estimating survival times. |
format | Article |
id | doaj-art-4d88c2fe70e0433d88b28eeec19a921b |
institution | Kabale University |
issn | 1551-0018 |
language | English |
publishDate | 2013-03-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Biosciences and Engineering |
spelling | doaj-art-4d88c2fe70e0433d88b28eeec19a921b2025-01-24T02:26:12ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-03-0110356557810.3934/mbe.2013.10.565Mathematical modeling of glioma therapy using oncolytic virusesBaba Issa Camara0Houda Mokrani1Evans K. Afenya2Laboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS UMR 7360, 8 rue du Général Delestraint, 57070 METZLaboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS UMR 7360, 8 rue du Général Delestraint, 57070 METZLaboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS UMR 7360, 8 rue du Général Delestraint, 57070 METZDiffuse infiltrative gliomas are adjudged to be the most common primary brain tumors in adults and theytend to blend in extensively in the brain micro-environment. This makes it difficult for medicalpractitioners to successfully plan effective treatments. In attempts to prolong the lengths of survivaltimes for patients with malignant brain tumors, novel therapeutic alternatives such as gene therapy withoncolytic viruses are currently being explored. Based on such approaches and existing work, a spatio-temporal model that describes interaction between tumor cells and oncolytic viruses is developed.Conditions that lead to optimal therapy in minimizing cancer cell proliferation and otherwise areanalytically demonstrated. Numerical simulations are conducted with the aim of showing the impact ofvirotherapy on proliferation or invasion of cancer cells and of estimating survival times.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.565cancer gene therapymathematical model.oncolytic viruses |
spellingShingle | Baba Issa Camara Houda Mokrani Evans K. Afenya Mathematical modeling of glioma therapy using oncolytic viruses Mathematical Biosciences and Engineering cancer gene therapy mathematical model. oncolytic viruses |
title | Mathematical modeling of glioma therapy using oncolytic viruses |
title_full | Mathematical modeling of glioma therapy using oncolytic viruses |
title_fullStr | Mathematical modeling of glioma therapy using oncolytic viruses |
title_full_unstemmed | Mathematical modeling of glioma therapy using oncolytic viruses |
title_short | Mathematical modeling of glioma therapy using oncolytic viruses |
title_sort | mathematical modeling of glioma therapy using oncolytic viruses |
topic | cancer gene therapy mathematical model. oncolytic viruses |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.565 |
work_keys_str_mv | AT babaissacamara mathematicalmodelingofgliomatherapyusingoncolyticviruses AT houdamokrani mathematicalmodelingofgliomatherapyusingoncolyticviruses AT evanskafenya mathematicalmodelingofgliomatherapyusingoncolyticviruses |