Pediatric Glioma Splintered Into Distinct Subgroups by Molecular Meta-Analysis

NEW YORK (GenomeWeb) – A new meta-analysis of pediatric gliomas suggests the childhood brain tumors fall into several distinct subgroups with varying prognoses and prevalence in younger or older individuals.

“We found that tumours that have historically been lumped together under one diagnosis are in fact comprised of many, remarkably different, diseases,” senior author Chris Jones, a molecular pathology and cancer therapeutics researcher at the Institute of Cancer Research, said in a statement.

Jones led a team from the UK, the US, and Switzerland that analyzed data from more than 1,000 pediatric high-grade gliomas or diffuse intrinsic pontine gliomas (DIPG), using hotspot mutation data, methylation profiles, copy number data, genome sequences and/or exome sequences for published and unpublished cases.

The researchers’ integrated molecular analyses of these data were described in Cancer Cell today, pointing to glioma clusters comprised of tumors with or without H3.1 or H3.3 histone mutations as well as subgroups characterized by IDH1 mutations, altered methylation profiles, low-grade glioma-like features, or mutations in genes such as EGFR, NF1, or MYCN. Certain subgroups had better outcomes than others, they explained, and molecular features in the gliomas tended to cluster with age of onset.

“Genomic aberrations increase with age, highlighting

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