Chapter title |
Hypoxia in Gliomas: Opening Therapeutical Opportunities Using a Mathematical-Based Approach.
|
---|---|
Chapter number | 2 |
Book title |
Systems Biology of Tumor Microenvironment
|
Published in |
Advances in experimental medicine and biology, October 2016
|
DOI | 10.1007/978-3-319-42023-3_2 |
Pubmed ID | |
Book ISBNs |
978-3-31-942021-9, 978-3-31-942023-3
|
Authors |
Alicia Martı́nez-González, Gabriel F. Calvo, Jose M. Ayuso, Ignacio Ochoa, Luis J. Fernández, Víctor M. Pérez-García |
Editors |
Katarzyna A. Rejniak |
Abstract |
This chapter explores the use of mathematical models as promising and powerful tools to understand the complexity of tumors and their, frequently, hypoxic environment. We focus on gliomas, which are primary brain tumors derived from glial cells, mainly astrocytes and/or oligodendrocytes. A variety of mathematical models, based on ordinary and/or partial differential equations, have been developed both at the micro and macroscopic levels. The aim here is to describe in a quantitative way key physiopathological mechanisms relevant in these types of malignancies and to suggest optimal therapeutical strategies. More specifically, we consider novel therapies targeting thromboembolic phenomena to decrease cell invasion in high grade glioma or to delay the malignant transformation in low grade gliomas. This study has been the basis of a multidisciplinary collaboration involving, among others, neuro-oncologists, radiation oncologists, pathologists, cancer biologists, surgeons and mathematicians. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Student > Bachelor | 3 | 13% |
Student > Master | 3 | 13% |
Student > Postgraduate | 2 | 9% |
Other | 1 | 4% |
Unknown | 8 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 48% |
Unspecified | 1 | 4% |
Neuroscience | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Unknown | 9 | 39% |