Mechanistic Model for Cancer Growth and Response to Chemotherapy
Author
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Simbawa, Eman. 2017. Mechanistic Model for Cancer Growth and Response to Chemotherapy. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142082
Modern Language Association (MLA)
Simbawa, Eman. Mechanistic Model for Cancer Growth and Response to Chemotherapy. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1142082
American Medical Association (AMA)
Simbawa, Eman. Mechanistic Model for Cancer Growth and Response to Chemotherapy. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142082
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142082