Cancer databases collect original cancer studies and patient clinical information into one site that allows for global analysis. While many courses focus on cancer, few utilize these powerful cancer databases. Our goal was to create a lab experience in which students could explore original cancer study databases, looking at the expression and incidence of driver mutations of cancer. First, the students focus on a specific patient including demographic data and type of cancer. Then the students analyze mRNA expression levels associated with mutations of the gene, determining if it is a tumor suppressor or oncogene. Students also learn which mutations are actionable and how they affect survival. In summary, this module allows students to analyze global trends in driver mutations in cancers and dive into specific patient features.