Master Thesis Project: “Cancer Genomics of Adrenocortical Carcinoma”
Research in our group aims at developing tumor models (in vitro and in vivo), and establishing new therapeutic approaches in endocrine tumors. Our research group has been successful in developing a novel patient-derived tumor model (MUC-1), that has the potential to improve clinical prediction for ACC. As part of this project, we would now like to analyze the whole genome sequencing profiles of two adrenocortical carcinoma cell lines. These tumor models display varied molecular, biochemical and mutational signatures that closely mimics the clinical situation. Co-supervised by an experienced postdoc in the lab you will apply various bioinformatics tools and pipelines to characterize the mutations that drive cancer progression, gene amplifications, SNPs, and identify potential causative variants.