Integrative Analysis of Gene Expression in Prostate Cancer

Prostate is the most common non-dermatological cancer amongst men in the West. The diseases is highly curable if detected early; although with a considerable risk of side effects that decrease quality of life. Treatment is thus becoming highly individualized, placing emphasis on early detection and prediction of disease prognosis. The main concern of this project is the computational integration and analysis of gene expression datasets, derived from prostate cancer, with information about cancer stage and progression. Integrating gene expression data from multiple sources will provide more robust and accurate characterizations of gene expression signatures related to prostate cancer grade and progression as well as prediction of future outcomes.