NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #26

Abstract Summary Childhood cancers are rare and genomically diverse, and a lack of centralized data has hindered research progress. This project will leverage the rich genomic and transcriptomic data from the Pediatric Michigan Oncology Sequencing (Peds-MI-OncoSeq) cohort, a key contribution to the NCI's Childhood Cancer Data Initiative (CCDI). We propose a dual-aim study to first, create a comprehensive multi-omic atlas to define the molecular architecture across a range of pediatric malignancies. Second, we will conduct a focused analysis on the neuroblastoma cohort to identify robust molecular biomarkers that predict patient response to anti-GD2 immunotherapy, a standard-of-care treatment. By integrating genomic and transcriptomic data, this work seeks to uncover fundamental cancer biology and produce clinically relevant predictors to improve therapeutic strategies for children with cancer.