Diffuse midline gliomas (DMGs) are devastating tumors that are very hard to treat. In an effort to accelerate the development of treatments for this disease, researchers propose integrating large-scale multi-omics datasets with state-of-the-art algorithms. Multi-omics refers to the use of many types of data such as genomic, epigenomic, and transcriptome data. This comprehensive approach will be used to elucidate mechanisms of dysregulation underlying DMG formation and progression. The ultimate goal of this work is to identify novel therapies and overall improve outcomes for DMG patients. The Children’s Brain Tumor Network biorepository contains a large number of DMG samples, including tumors with matched cell lines. Utilizing this dataset will set the stage for future molecular experiments using the matched models.
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