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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2013-03-01
|
| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.565 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 1551-0018 |