100. Identification of unique subtypes of pediatric high-grade glioma by comparative tumor transcriptomics

Pediatric high-grade glioma (pHGG) is a devastating and poorly understood cancer driven by numerous genetic and epigenetic mechanisms. Here, we use numerous bioinformatics approaches to analyze transcriptomic data of 1,543 pediatric brain tumor specimens from the UCSC Treehouse Childhood Cancer Initiative (Treehouse) and Open Pediatric Brain Tumor Atlas (OpenPBTA) to subtype pHGG patients. We find that approximately half (49.5%) of pHGG tumors from OpenPBTA can be partitioned into three subgroups defined by high outlier-level expression either of: mitochondrially-encoded 12S and 16S rRNAs; genes enriched in the HSF1-mediated heat shock response and activation pathways; or six C/D box snoRNA (SNORD) genes originating from the paternally-expressed SNORD116 locus involved in Prader-Willi syndrome, a complex neurodevelopmental disorder.
Source: Cancer Genetics and Cytogenetics - Category: Genetics & Stem Cells Authors: Source Type: research