E-GEOD-12606
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-12606 | ExpressionAtlas | 2025-01-24
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-12606-analysis-methods.tsv | Tabular | |||
| E-GEOD-12606-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-12606-configuration.xml | Xml | |||
| E-GEOD-12606-percentile-ranks.tsv | Tabular | |||
| E-GEOD-12606.condensed-sdrf.tsv | Tabular |
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1.
Department of Mathematics, Harvey Mudd College, Claremont, CA 91711
2.
Harvey Mudd College, Claremont, CA 91711, United States, United States, United States
Abstract
We present a mathematical model to study the effects of the regulatory T cells (Treg) on Renal Cell Carcinoma (RCC) treatment with sunitinib. The drug sunitinib inhibits the natural self-regulation of the immune system, allowing the effector components of the immune system to function for longer periods of time. This mathematical model builds upon our non-linear ODE model by de Pillis et al. (2009) [13] to incorporate sunitinib treatment, regulatory T cell dynamics, and RCC-specific parameters. The model also elucidates the roles of certain RCC-specific parameters in determining key differences between in silico patients whose immune profiles allowed them to respond well to sunitinib treatment, and those whose profiles did not.
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