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Mathematical Modeling Support for Lung Cancer Therapy—A Short Review.
- Source :
-
International Journal of Molecular Sciences . Oct2023, Vol. 24 Issue 19, p14516. 21p. - Publication Year :
- 2023
-
Abstract
- The paper presents a review of models that can be used to describe dynamics of lung cancer growth and its response to treatment at both cell population and intracellular processes levels. To address the latter, models of signaling pathways associated with cellular responses to treatment are overviewed. First, treatment options for lung cancer are discussed, and main signaling pathways and regulatory networks are briefly reviewed. Then, approaches used to model specific therapies are discussed. Following that, models of intracellular processes that are crucial in responses to therapies are presented. The paper is concluded with a discussion of the applicability of the presented approaches in the context of lung cancer. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LUNG cancer
*CANCER treatment
*MATHEMATICAL models
*TUMOR growth
*CELL populations
Subjects
Details
- Language :
- English
- ISSN :
- 16616596
- Volume :
- 24
- Issue :
- 19
- Database :
- Academic Search Index
- Journal :
- International Journal of Molecular Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 172988287
- Full Text :
- https://doi.org/10.3390/ijms241914516