Genotype and expression profiling of primitive neuroectodermal tumours
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE14296
PROVIDER: PRJNA111293 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. Although supratentorial PNET (sPNET) are histologically similar to infratentorial PNET/medulloblastoma, sPNET have more aggressive clinical phenotypes, which suggest sPNET represents distinct biological entities. In contrast to considerable progress in understanding the signalling pathways involved in medulloblastoma, little is known about sPNET pathogenesis. We utilized the Illumina Human-6 v2 Expression BeadChip platform to define pathways dysregulated in sPNET pathogenesis. Copy number analysis was also performed on an overlapping set of PNET tumours, also available on GEO with accession code GSE14087. Keywords: gene expression, pediatric brain tumour Raw BeadStudio output files (GSE14295_normalization-none*) linked below as Supplementary files. Supplementary File GSE14295_Array2SampleTitle_associations.txt maps Array IDs (e.g., 1814647101_B) to GEO Sample Titles (e.g., PNET2).
2009-12-22 | GSE14295 | GEO
Project description:Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. Although supratentorial PNET (sPNET) are histologically similar to infratentorial PNET/medulloblastoma, sPNET have more aggressive clinical phenotypes, which suggest sPNET represents distinct biological entities. In contrast to considerable progress in understanding the signalling pathways involved in medulloblastoma, little is known about sPNET pathogenesis. Prior low resolution CGH (comparative genomic hybridization) studies indicate sPNET have frequent genomic imbalances and copy number aberrations (CNAs). To define genes involved in sPNET pathogenesis, we utilized the Affymetrix 250K Nsp SNP (single nucleotide polymorphism) analysis to identify genes targeted by recurrent CNAs in primary human sPNET samples. Copy number analysis was conducted on 39 primary PNET samples. Select target genes were validated by genomic and/or RT-PCR. Our analysis revealed frequent CNA across the sPNET genome, encompassing large and focal chromosome segments, and corroborated previous reports that isochromosome 17q, an abnormality found in ~ 30% of medulloblastoma, is rare in sPNET. Keywords: single nucleotide polymorphism array, disease state analysis
2009-12-22 | GSE14087 | GEO
Project description:Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. Although supratentorial PNET (sPNET) are histologically similar to infratentorial PNET/medulloblastoma, sPNET have more aggressive clinical phenotypes, which suggest sPNET represents distinct biological entities. In contrast to considerable progress in understanding the signalling pathways involved in medulloblastoma, little is known about sPNET pathogenesis. Here we identify a focal amplicon on chr19q13.41 that houses two polycistronic microRNA clusters. Functional analysese indicates that the microRNA clusters may promote oncogenesis in part by modulating cell survival. Copy number analysis was also performed on an overlapping set of PNET tumours, also available on GEO with accession code GSE14087. Keywords: single nucleotide polymorphism array, pediatric brain cancer A primitive neuroectodermal tumour sample with matched blood from the University of Cambridge was analyzed on the Affymetrix GeneChip Mapping 250K Nsp SNP array.
2010-04-03 | E-GEOD-14248 | biostudies-arrayexpress
Project description:Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. Although supratentorial PNET (sPNET) are histologically similar to infratentorial PNET/medulloblastoma, sPNET have more aggressive clinical phenotypes, which suggest sPNET represents distinct biological entities. In contrast to considerable progress in understanding the signalling pathways involved in medulloblastoma, little is known about sPNET pathogenesis. Prior low resolution CGH (comparative genomic hybridization) studies indicate sPNET have frequent genomic imbalances and copy number aberrations (CNAs). To define genes involved in sPNET pathogenesis, we utilized the Affymetrix 250K Nsp SNP (single nucleotide polymorphism) analysis to identify genes targeted by recurrent CNAs in primary human sPNET samples. Copy number analysis was conducted on 39 primary PNET samples. Select target genes were validated by genomic and/or RT-PCR. Our analysis revealed frequent CNA across the sPNET genome, encompassing large and focal chromosome segments, and corroborated previous reports that isochromosome 17q, an abnormality found in ~ 30% of medulloblastoma, is rare in sPNET. Keywords: single nucleotide polymorphism array, disease state analysis A total of 56 primary sPNET samples were collected for this study from The Hospital for Sick Children, John Hopkins University, St. Jude Research Hospital, University of Cambridge, Children’s Hospital Boston, Virginia Commonwealth University, Instituto nazionale per lo studio e la cura dei tumori, and Texas Children’s Hospital, with local Institutional Research Ethics Board approval. Pineoblastoma and rhaboid tumours were specifically excluded, leaving 52 samples, 39 of which had good quality DNA available. These samples, in addition to 28 diploid reference samples (a gift from Dr. S. Scherer, University of Toronto), were analyzed on the Affymetrix GeneChip Mapping 250K Nsp SNP array. Due to sample availability at the time the arrays were run, the diploid reference samples analyzed on the Sty arrays are different from reference samples analyzed on the Nsp arrays.
2009-12-21 | E-GEOD-14087 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2009-12-22 | GSE14296 | GEO
Project description:Central nervous system primitive neuroectodermal tumors (CNS PNET) and medulloblastomas are both embryonal tumors that predominantly occur in children. We used microarrays to analyse a cohort of CNS PNETs and medulloblastomas to identify gene expression related to tumor subgroups.
2013-05-01 | GSE19404 | GEO
Project description:Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. Although supratentorial PNET (sPNET) are histologically similar to infratentorial PNET/medulloblastoma, sPNET have more aggressive clinical phenotypes, which suggest sPNET represents distinct biological entities. In contrast to considerable progress in understanding the signalling pathways involved in medulloblastoma, little is known about sPNET pathogenesis. Here we identify a focal amplicon on chr19q13.41 that houses two polycistronic microRNA clusters. Functional analysese indicates that the microRNA clusters may promote oncogenesis in part by modulating cell survival. Copy number analysis was also performed on an overlapping set of PNET tumours, also available on GEO with accession code GSE14087. Keywords: single nucleotide polymorphism array, pediatric brain cancer
2009-12-22 | GSE14248 | GEO
Project description:Central nervous system primitive neuroectodermal tumors (CNS PNET) and medulloblastomas are both embryonal tumors that predominantly occur in children. We used microarrays to analyse a cohort of CNS PNETs and medulloblastomas to identify gene expression related to tumor subgroups. RNA extracted from 23 frozen tumor samples, plus a commercial fetal brain sample, was analysed using Affymetrix U133 plus 2.0 arrays. Tumour subgroups, based on gene expression, were identified using clustering methods.
2013-05-01 | E-GEOD-19404 | biostudies-arrayexpress
Project description:Genotype profiling of primitive neuroectodermal tumours (250K_Nsp_SNP and 250K_Sty_SNP)
| PRJNA114513 | ENA
Project description:Expression profiling of primitive neuroectodermal tumours
| PRJNA114545 | ENA