Disciplines
Biology (40%); Medical-Theoretical Sciences, Pharmacy (60%)
Keywords
Glucocorticoid Receptor,
Lung Cancer,
KRAS,
Tumor Microenvironment,
Genetically Engineered Mouse Model
Abstract
Lung cancer is a devastating disease and is the leading cause of most tumor-associated deaths. At the
genetic level, lung tumors are classified based on different mutations, and specific genetic changes
determine the chosen treatment methods for affected patients. The most commonly mutated gene in
lung cancer is KRAS, and there is still no well-established targeted treatment method for this gene. The
majority of affected patients receive a type of immunotherapy, where efforts are made to support the
body`s own immune cells in fighting the tumor. However, various factors can significantly influence the
success of such therapy.
Additionally, many patients are prescribed synthetic glucocorticoids for symptom management, which
are structurally derived from a natural stress hormone, cortisol. Interestingly, relatively little is known
about the direct effects of these hormones on lung cancer cells and thus the impact of different
treatment methods. The aim of this project is to close this gap and thereby achieve improvements in
the care of lung cancer patients.
Research Output
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1
Citations
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1
Publications