Project Goals: The goal of this project is to identify drivers of aggressive neuroblastoma by integrating copy number and expression analysis. A second aim is to perform functional validation of in silico hits.
Specific Aims: 1. To uncover oncogenic drivers and tumor suppressors in neuroblastoma by using iExCN, a Bayesian-based, intregrative analysis algorithm; 2. To experimentally validate iExCN-predicted drivers and tumor suppressors in a panel neuroblastoma cell lines and PDX models; 3. To explore how CNVs and expression of iExCN genes correlate with clinical variables to improve risk stratification models and guide therapy for children with neuroblastoma.