DNA methylation alterations across time and space in paediatric brain tumours
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ABSTRACT:
PROVIDER: PRJNA1040863 | ENA |
REPOSITORIES: ENA
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Project description:DNA methylation is increasingly used for tumour classification and has expanded upon the > 100 currently known brain tumour entities. A correct diagnosis is the basis for suitable treatment for patients with brain tumours, which is the leading cause of cancer-related death in children. DNA methylation profiling is required for diagnosis of certain tumours, and used clinically for paediatric brain tumours in several countries. We therefore evaluated if the methylation-based classification is robust in different locations of the same tumour, and determined how the methylation pattern changed over time to relapse.
2024-03-21 | GSE247880 | GEO
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify microRNA profiles
2015-12-10 | GSE42657 | GEO
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify gene expression profiles
2013-07-29 | GSE42656 | GEO
Project description:The pathogenesis of paediatric central nervous system tumours is still poorly understood. In an attempt to increase the knowledge of the genetic mechanisms underlying these tumours, we performed genome-wide screening of 17 paediatric gliomas and embryonal tumours using a combination of G-band karyotyping and array comparative genomic hybridisation (aCGH). G-banding revealed abnormal karyotypes in 56% of tumour samples (9 of 16; one failed in culture), whereas aCGH analysis found copy number aberrations in all 13 tumours that could be examined. Pilocytic astrocytomas (n=3) showed normal karyotypes or simple non-recurrent translocations by karyotyping, but revealed the now well-established recurrent gain of 7q34 by aCGH. Our series included one anaplastic oligoastrocytoma, tumours that have not previously been characterised genomically in children, and an anaplastic neuroepithelial tumour (probably an oligoastrocytoma); both tumours showed losses of chromosomes 14 by G-banding as well as structural aberrations of the long arm of chromosome 6, and loss of 14q, 17p, and 22q by aCGH. Three supratentorial primitive neuroectodermal tumours (n=5) showed aberrant karyotypes; two near-diploid with mainly structural changes and one near-triploid with several trisomies including gains of one copy of chromosomes 1, 2, and 7. aCGH confirmed these findings and revealed additional recurrent gains of 1q21-44, 3p21, and 3q29. We also describe cytogenetically for the first time a cribriform neuroepithelial tumour, a recently identified variant of atypical teratoid/rhabdoid tumour with a favourable prognosis, which showed loss of 1p33, 4q13.2, 10p12.31, 10q11.22, and 22q by aCGH.
2011-07-01 | GSE27671 | GEO
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify microRNA profiles We analysed the microRNA profiles in paediatric brain tumours as compared to normal adult brain. Our cohort included 14 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 1 papillary glioneuronal, and 7 adult brain controls.
2015-12-10 | E-GEOD-42657 | biostudies-arrayexpress
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify gene expression profiles We analysed gene expression in paediatric brain tumours as compared to normal adult brain in order to understand the molecular profiles. Our cohort included 15 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 8 adult brain and 8 foetal brain controls.
2013-07-29 | E-GEOD-42656 | biostudies-arrayexpress
Project description:DNA methylation is increasingly used for tumour classification and has expanded upon the > 100 currently known brain tumour entities. A correct diagnosis is the basis for suitable treatment for patients with brain tumours, which is the leading cause of cancer-related death in children. DNA methylation profiling is required for diagnosis of certain tumours, and used clinically for paediatric brain tumours in several countries. We therefore evaluated if the methylation-based classification is robust in different locations of the same tumour, and determined how the methylation pattern changed over time to relapse. We sampled 3–7 spatially separated biopsies per patient, and collected samples from paired primary and relapse brain tumours from children. Altogether, 121 samples from 46 paediatric patients with brain tumours were profiled with EPIC methylation arrays. The methylation-based classification was mainly homogeneous for all included tumour types that were successfully classified, which is promising for clinical diagnostics. There were indications of multiple subclasses within tumours and switches in the relapse setting, but not confirmed as the classification scores were below the threshold. Site-specific methylation alterations did occur within the tumours and varied significantly between tumour types for the temporal samples, and as a trend in spatial samples. More alterations were present in high-grade tumours compared to low-grade, and significantly more alterations with longer relapse times. The alterations in the spatial and temporal samples were significantly depleted in CpG islands, exons and transcription start sites, while enriched in OpenSea and regions not affiliated with a gene, suggesting a random location of the alterations in less conserved regions. In conclusion, more DNA methylation changes accumulated over time and more alterations occurred in high-grade tumours. The alterations mainly occurred in regions without gene affiliation, and did not affect the methylation-based classification, which largely remained homogeneous in paediatric brain tumours. Supplementary Information The online version contains supplementary material available at 10.1186/s40478-022-01406-8.
| S-EPMC9287974 | biostudies-literature
Project description:The pathogenesis of paediatric central nervous system tumours is still poorly understood. In an attempt to increase the knowledge of the genetic mechanisms underlying these tumours, we performed genome-wide screening of 17 paediatric gliomas and embryonal tumours using a combination of G-band karyotyping and array comparative genomic hybridisation (aCGH). G-banding revealed abnormal karyotypes in 56% of tumour samples (9 of 16; one failed in culture), whereas aCGH analysis found copy number aberrations in all 13 tumours that could be examined. Pilocytic astrocytomas (n=3) showed normal karyotypes or simple non-recurrent translocations by karyotyping, but revealed the now well-established recurrent gain of 7q34 by aCGH. Our series included one anaplastic oligoastrocytoma, tumours that have not previously been characterised genomically in children, and an anaplastic neuroepithelial tumour (probably an oligoastrocytoma); both tumours showed losses of chromosomes 14 by G-banding as well as structural aberrations of the long arm of chromosome 6, and loss of 14q, 17p, and 22q by aCGH. Three supratentorial primitive neuroectodermal tumours (n=5) showed aberrant karyotypes; two near-diploid with mainly structural changes and one near-triploid with several trisomies including gains of one copy of chromosomes 1, 2, and 7. aCGH confirmed these findings and revealed additional recurrent gains of 1q21-44, 3p21, and 3q29. We also describe cytogenetically for the first time a cribriform neuroepithelial tumour, a recently identified variant of atypical teratoid/rhabdoid tumour with a favourable prognosis, which showed loss of 1p33, 4q13.2, 10p12.31, 10q11.22, and 22q by aCGH. Tumour sample analysed with control DNA (supplied by Agilent)
2011-07-01 | E-GEOD-27671 | biostudies-arrayexpress
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