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. 2016 May 30;18(Suppl 3):iii15. doi: 10.1093/neuonc/now067.33

PNR-39: DISTINCT GENE FUSIONS SEGREGATE SUB-CLASSES OF CNS-PNETs

Joseph Norman 2, Jonathon Torchia 2, Nicolas De Jay 12, Daniel Picard 2, Patricia Rakopoulos 2, Dariusz Adamek 20, Daniel Catchpoole 21, Steven Clifford 22, Xing Fan 23, Jason Fangusaro 5, Fabien Forest 18, Maryam Fouladi 4, Amar Garjjar 24, Yancey Gillespie 8, Jordan Hansford 25, James Hayden 26, Lindsay Hoffman 4, Suradej Hongeng 27, Chris Jones 28, Anne Jouvet 19, Audrey Kaorshunov 29, Ching Lau 31, Suzanne Miller 32, Karin Muraszko 23, Ho-keung Ng 14, Stefan Pfister 32, Joanna Phillips 15, Scott Pomeroy 6, Alyssa Reddy 8, Hazel Rogers 7, Helen Toledano 16, Timorthy Van Meter 17, Yin Wang 33, Cheng Ying Ho 9, Ra Young-Shin 34, Michael Taylor 2, Diane Birks 1, Cynthia Hawkins 2, Eric Bouffet 2, Richard Grundy 9, Nada Jabado 12, Claudia Kleinman 2, Annie Huang 2
PMCID: PMC4903237

Primitive neuroectodermal brain tumours (PNETs) have dismal overall 20-40% survival. Clinical diagnosis of PNETs has proven challenging due to histological similarities to other tumours types. Our previous studies indicated at least 3 transcriptional sub-types of CNS-PNETs. To further define molecular features of CNS-PNETs that are distinct from other brain tumours, this study compared genetic and epigenetic profiles of 221 PNETs with that of 15 angiosarcomas, 162 atypical teratoid/rhabdoid tumours, 8 chondroblastomas, 29 liposarcomas, 48 ependymomas, 293 glioblastomas, 42 leiomyosarcomas, 377 low grade gliomas, 91 medulloblastomas, 9 malignant rhabdoid tumours, 34 neuroblastomas, 60 pleomorphic adenomas, 20 pineoblastomas, 10 sarcomas, 14 normal brain, and 27 fetal brain. Analyses included RNA and exome sequencing (n = 40), methylation, CNV (n = 1355), and gene expression profiling (n= 95), as well as targeted sequencing and Nanostring analyses for known alterations and fusions characteristic of other tumour types. To date these analyses reveal further segregation of CNS-PNETs into 4 epigenetic sub-types including Group 1 PNETs with the known C19MC OncomiR cluster. Groups 2 and 3 were respectively defined by gene-fusion events and elevated FOXR2 and BCOR expression, while group 4 was enriched for mesenchymal features. Integrated analyses indicate molecular sub-types of CNS-PNETs have distinct clinical and survival features.


Articles from Neuro-Oncology are provided here courtesy of Society for Neuro-Oncology and Oxford University Press

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