Project description:Genome wide DNA methylation profiling of normal, ETMR and PNET tumours Bisulphite converted DNA from 12 ETMR, 28 PNET and 34 control samples hybridised to the Illumina 450k Human Methylation Beadchip Please note that three of the 12 EMTR samples are tumor, cell line and xenograft sample derived from a single patient. Thus, there are 10 ETMR patients, 12 samples.
Project description:Methylation profiles of preclinical ETMR models were generated and compared to reference primary human tumors to determine the molecular fidelity of the preclinical model systems.
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).
Project description:Extracranial rhabdoid tumours (ECRT) are an aggressive malignancy of infancy and early childhood. The vast majority of cases demonstrate inactivation of SMARCB1 (ECRT_SMARCB1) but, rarely, ECRT can harbour the alternative inactivation of SMARCA4 (ECRT_SMARCA4) instead of SMARCB1. To explore the place of ECRTSMARCA4 in the "rhabdoid tumour" spectrum, we generated and collected from previous studies genome-wide DNA methylation array data (n = 85) from Atypical/Teratoid Rhabdoid Tumours (ATRT), ECRT_SMARCB1, ECRT_SMARCA4 and small cell carcinomas of the ovary, hypercalcaemic type (SCCOHT) tumours. Using dimensionality reduction and unsupervised clustering approaches, our results demonstrate that ECRT_SMARCA4 display an intermediate DNA methylation profile between SCCOHT and ECRT_SMARCB1.
Project description:Gene expression data from this ETMR cell line was compared with gene expression data from primary ETMR tumors to search for potential drug targets in ETMR tumors.
Project description:ETMRs are aggressive pediatric embryonal brain tumors with universally dismal outcome. We collected 193 ETMR samples and an additional 23 matched relapses to investigate the genomic landscape of this distinct entity. We found that patients having tumors without C19MC amplification, the proposed driver, frequently harbor DICER1 germline mutations or other miRNA-related aberrations such as somatic miR-17-92 miRNA cluster amplifications. Despite these distinct genetic aberrations, no molecular subgrouping was observed. Whole-genome sequencing revealed an overall low recurrence of SNVs, but prevalent R-loop-associated chromosomal instability, of which we show that this can be induced by loss of DICER1 function. Comparing primary tumors and matched relapses revealed a strong conservation of SVs but low conservation of SNVs. Moreover, many newly acquired SNVs are associated to a new cisplatin treatment related mutational signature. Finally, we show that targeting R-loops with topoisomerase and PARP inhibitors might be an effective treatment strategy for this deadly disease.
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
Project description:A peptidomic analysis of plasma from patients with well characterised pancreatic neuroendocrine tumours (PNET) was performed. A nano LC-MS analysis identified a number of peptides from the glucagon gene, which were idenfiried in a previous case study using multiple immunoassays. Peptides to other proteins involved in peptide secretion were also identified. Plasma from a second glucagonoma patient was analysed using a high flow approach, and this identified similar peptides to the nano analysis. In order to demonstrate the potential clinical application of LC-MS to characterising neuroendocrine tumours, a large cohort of plasma samples were analysed to demonstrate the ability of this approach to identify glucagonoma patients, and differentiate from a single insulinoma patient