In silico analysis of long noncoding RNAs in medulloblastoma and its subgroups

Medulloblastoma is the most common pediatric brain tumor exhibiting high malignancy and fatality rates. Recent large-scale patient studies utilizing genome wide technologies have put forth transcriptomic and epigenetic heterogenties among the medulloblastomas, classifying them into four major subgroups: WNT, SHH, group 3 and group 4. However, the contribution of long non-coding RNAs in medulloblastoma remains unknown. Long non-coding RNAs represent a crucial part of the regulatory transcriptome that has shown to control gene expression levels and protein interactions. The relative lack of understanding of long non-coding RNA in medulloblastoma is partly due to dearth of putative functional candidate long non-coding RNAs. From RNA-seq data beloning to 175 medulloblastoma patientswe identified a diagnostic and prognostic signature. We validated the diagnostic model in the PDX dervied from t samples beloning to SHH, group 3 and group 4 patients. Overall design: Total RNA was isolated from PDX samples belonging to different medulloblastoma subgroups for subsequent RNA-seq analysis.