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Mechanistic Model for Cancer Growth and Response to Chemotherapy

Cancer treatment has developed over the years; however not all patients respond to this treatment, and therefore further research is needed. In this paper, we employ mathematical modeling to understand the behavior of cancer and its interaction with therapy. We study a drug delivery and drug-cell in...

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Autor principal: Simbawa, Eman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591976/
https://www.ncbi.nlm.nih.gov/pubmed/28928794
http://dx.doi.org/10.1155/2017/3676295
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author Simbawa, Eman
author_facet Simbawa, Eman
author_sort Simbawa, Eman
collection PubMed
description Cancer treatment has developed over the years; however not all patients respond to this treatment, and therefore further research is needed. In this paper, we employ mathematical modeling to understand the behavior of cancer and its interaction with therapy. We study a drug delivery and drug-cell interaction model along with cell proliferation. Due to the fact that cancer cells grow when there are enough nutrients and oxygen, proliferation can be a barrier against a response to therapy. To understand the effect of this factor, we perform numerical simulations of the model for different values of the parameters with a continuous delivery of the drug. The numerical results showed that cancer dies after short apoptotic cycles if the cancer is highly vascularized or if the penetration of the drug is high. This suggests promoting angiogenesis or perfusion of the drug. This result is similar to the situation where proliferation is not considered since the constant release of drug overcomes the growth of the cells and thus the effect of proliferation can be neglected.
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spelling pubmed-55919762017-09-19 Mechanistic Model for Cancer Growth and Response to Chemotherapy Simbawa, Eman Comput Math Methods Med Research Article Cancer treatment has developed over the years; however not all patients respond to this treatment, and therefore further research is needed. In this paper, we employ mathematical modeling to understand the behavior of cancer and its interaction with therapy. We study a drug delivery and drug-cell interaction model along with cell proliferation. Due to the fact that cancer cells grow when there are enough nutrients and oxygen, proliferation can be a barrier against a response to therapy. To understand the effect of this factor, we perform numerical simulations of the model for different values of the parameters with a continuous delivery of the drug. The numerical results showed that cancer dies after short apoptotic cycles if the cancer is highly vascularized or if the penetration of the drug is high. This suggests promoting angiogenesis or perfusion of the drug. This result is similar to the situation where proliferation is not considered since the constant release of drug overcomes the growth of the cells and thus the effect of proliferation can be neglected. Hindawi 2017 2017-08-27 /pmc/articles/PMC5591976/ /pubmed/28928794 http://dx.doi.org/10.1155/2017/3676295 Text en Copyright © 2017 Eman Simbawa. https://creativecommons.org/licenses/by/4.0/ 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
Simbawa, Eman
Mechanistic Model for Cancer Growth and Response to Chemotherapy
title Mechanistic Model for Cancer Growth and Response to Chemotherapy
title_full Mechanistic Model for Cancer Growth and Response to Chemotherapy
title_fullStr Mechanistic Model for Cancer Growth and Response to Chemotherapy
title_full_unstemmed Mechanistic Model for Cancer Growth and Response to Chemotherapy
title_short Mechanistic Model for Cancer Growth and Response to Chemotherapy
title_sort mechanistic model for cancer growth and response to chemotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591976/
https://www.ncbi.nlm.nih.gov/pubmed/28928794
http://dx.doi.org/10.1155/2017/3676295
work_keys_str_mv AT simbawaeman mechanisticmodelforcancergrowthandresponsetochemotherapy