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Methylation array-based molecular profiling has redefined the classification of brain tumours and now forms an important part of their integrated diagnosis, providing both subgroup assignment and genome wide DNA copy number profiles. These latter data can be used to identify intragenic breakpoints which are frequently associated with structural variations resulting in therapeutically targetable oncogenic fusion genes. To systematically assess the landscape of these alterations, we combined publicly available methylation datasets resulting in a total of 5660 CNS tumours, around half paediatric, and including &amp;gt;1000 high grade glioma and DIPG. These were analysed by standard methodology (MNP, conumee), and intragenic breakpoint enrichment was compared within methylation subgroups, superfamilies, and tumours with no high-scoring classification. Benchmarking included sequence-verified cases such as infant hemispheric gliomas (IHG) with ALK(15%) and ROS1(7%) fusions, and pathognomic alterations associated with specific entities such as RELA-EPN, MYB-LGG and HGNET-MN1. We identified previously unreported enrichments of well-recognised fusion targets such as NTRK2in GBM_MID and NTRK3in DMG_K27 (both 5%), METin A_IDH / A_IDH_HG (3–5%), and FGFR1/3in GBM_G34 (8–9%). Novel recurrent kinase gene candidates to be verified and explored further include IGF1Rin 2–12% cases spanning glioma subgroups, and TIE1in poorly classified tumours. This latter ‘NOS’ group were also enriched in various transcription factor targets of breakpoints, including TCF4and PLAGL2. Despite limitations due to sample quality, resolution or balanced translocations, breakpoint analysis of methylation copy number profiles provides simple screening for structural rearrangements which may directly influence targeted therapy in paediatric CNS tumours.

neuro-oncology

PATH-17. INTRAGENIC COPY NUMBER BREAKPOINT ANALYSIS OF METHYLATION DATA FROM CNS TUMOURS IDENTIFIES NOVEL SUBGROUP-SPECIFIC CANDIDATE FUSION GENE ENRICHMENTS