A Systems Biology Approach to Model Gene-Gene Interaction for Childhood Sarcomas

Abstract

Lymphomas and neuroblastoma are the two commonly diagnosed cancers in childhood. Despite extensive studies in cytogenetic and mutations in childhood cancers, new diagnoses were still reported. This is due to multifactorial characteristic of the diseases and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of the diseases. This study aims to sought a system biology approach to infer gene regulatory networks for lymphomas and neuroblastoma. Results demonstrated that our approach simplifies complex genetic interactions without losing important biological information of the genes. Candidate markers that infer lymphoma and neuroblastoma and their relevant pathways were identified.