Publication Date
2023
Journal or Book Title
Journal of Personalized Medicine
Abstract
The interactions between cells and molecules in the tumor microenvironment can give insight into the initiation and progression of tumors and their optimal treatment options. In this paper, we developed an ordinary differential equation (ODE) mathematical model of the interaction network of key players in the clear cell renal cell carcinoma (ccRCC) microenvironment. We then performed a global gradient-based sensitivity analysis to investigate the effects of the most sensitive parameters of the model on the number of cancer cells. The results indicate that parameters related to IL-6 have high a impact on cancer cell growth, such that decreasing the level of IL-6 can remarkably slow the tumor’s growth.
ORCID
Sofia: https://orcid.org/0000-0002-1279-1626, Mirzaei: https://orcid.org/0000-0002-0971-0514, Shahriyari: https://orcid.org/0000-0001-6234-8449
DOI
https://doi.org/10.3390/jpm12101681
Volume
12
Special Issue
Data-Driven Modeling for Chronic Diseases
Issue
10
License
UMass Amherst Open Access Policy
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sofia, Dilruba; Mirzaei, Navid Mohammad; and Shahriyari, Leili, "Patient-Specific Mathematical Model of the Clear Cell Renal Cell Carcinoma Microenvironment" (2023). Journal of Personalized Medicine. 1348.
https://doi.org/10.3390/jpm12101681