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DNA methylation data from CNS-PNETs and various other brain tumor samples

ABSTRACT: Primitive neuroectodermal tumours of the central nervous system (CNS PNETs) are highly aggressive, poorly differentiated embryonal tumours occurring predominantly in young children. Using DNA methylation and gene expression profiling we have demonstrated that a significant proportion of institutionally diagnosed CNS PNETs display molecular profiles indistinguishable from those of various other well defined CNS tumour entities, facilitating diagnosis and appropiate therapy for children with these tumours. From the remaining fraction of CNS PNETs, we have identified four distinct new CNS tumour entities extending to other neuroepithelial tumours, each associated with a recurrent genetic alteration and particular histopathological and clinical features. These molecular entities, designated â??CNS Neuroblastoma with FOXR2 activation (CNS NB FOXR2)â??, â??CNS Ewing sarcoma family tumour with CIC alteration (CNS EFT CIC)â??, â??CNS high grade neuroepithelial tumour with MN1 alteration (CNS HGNET MN1)â??, and â??CNS high grade neuroepithelial tumour with BCOR alteration (CNS HGNET BCOR)â??, will enable meaningful clinical trials and the development of therapeutic strategies for patients affected by these poorly differentiated CNS tumours. 586 brain tumor samples were profiled using the Illumina HumanMethylation450 BeadChip (450k) array.

ORGANISM(S): Homo sapiens

SUBMITTER: Marcel Kool

PROVIDER: E-GEOD-73801 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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DNA methylation data from CNS-PNETs and various other brain tumor samples

Project description:Primitive neuroectodermal tumours of the central nervous system (CNS PNETs) are highly aggressive, poorly differentiated embryonal tumours occurring predominantly in young children. Using DNA methylation and gene expression profiling we have demonstrated that a significant proportion of institutionally diagnosed CNS PNETs display molecular profiles indistinguishable from those of various other well defined CNS tumour entities, facilitating diagnosis and appropiate therapy for children with these tumours. From the remaining fraction of CNS PNETs, we have identified four distinct new CNS tumour entities extending to other neuroepithelial tumours, each associated with a recurrent genetic alteration and particular histopathological and clinical features. These molecular entities, designated “CNS Neuroblastoma with FOXR2 activation (CNS NB FOXR2)”, “CNS Ewing sarcoma family tumour with CIC alteration (CNS EFT CIC)”, “CNS high grade neuroepithelial tumour with MN1 alteration (CNS HGNET MN1)”, and “CNS high grade neuroepithelial tumour with BCOR alteration (CNS HGNET BCOR)”, will enable meaningful clinical trials and the development of therapeutic strategies for patients affected by these poorly differentiated CNS tumours.

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Gene expression data from CNS-PNETs and various other brain tumor samples

Project description:Primitive neuroectodermal tumors of the central nervous system (CNS PNETs) are highly aggressive, poorly differentiated embryonal tumors occurring predominantly in young children. Using DNA methylation and gene expression profiling we have demonstrated that a significant proportion of institutionally diagnosed CNS PNETs display molecular profiles indistinguishable from those of various other well defined CNS tumor entities, facilitating diagnosis and appropiate therapy for children with these tumors. From the remaining fraction of CNS PNETs, we have identified four distinct new CNS tumor entities extending to other neuroepithelial tumors, each associated with a recurrent genetic alteration and particular histopathological and clinical features. These molecular entities, designated âCNS Neuroblastoma with FOXR2 activation (CNS NB FOXR2)â, âCNS Ewing sarcoma family tumor with CIC alteration (CNS EFT CIC)â, âCNS high grade neuroepithelial tumor with MN1 alteration (CNS HGNET MN1)â, and âCNS high grade neuroepithelial tumor with BCOR alteration (CNS HGNET BCOR)â, will enable meaningful clinical trials and the development of therapeutic strategies for patients affected by these poorly differentiated CNS tumors. 182 brain tumor samples were selected for RNA extraction and hybridization on Affymetrix Affymetrix Human Genome U133 Plus 2.0 Arrays.

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