Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA251632 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Clinically Relevant Copy Number Variations Detected in Cerebral Palsy
| PRJNA288569 | ENA
Project description:Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Characterization of DNA copy number changes in 54 glial brain tumors using a cDNA microarray-based comparative genomic hybridization method. Tumors: 54 fresh-frozen glioma specimens subjected to standard WHO classification. Specimens included astrocytic [3 juvenile pilocytic astrocytomas, 1 low-grade astrocytic glioma, 3 anaplastic astrocytomas, 31 glioblastomas (of these 3 secondary glioblastomas and 2 gliosarcomas)], oligodendroglial [5 oligodendrogliomas, 3 anaplastic oligodendrogliomas], and 7 anaplastic oligoastrocytomas tumors. One tumor had been classified as glioneuronal neoplasm. Human male and female genomic reference DNA was purchased from Promega (Promega, Madison, WI). The results provide insights into molecular genetic changes associated with gliomagenesis.
2010-06-10 | E-GEOD-1991 | biostudies-arrayexpress
Project description:Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Characterization of DNA copy number changes in 54 glial brain tumors using a cDNA microarray-based comparative genomic hybridization method. Tumors: 54 fresh-frozen glioma specimens subjected to standard WHO classification. Specimens included astrocytic [3 juvenile pilocytic astrocytomas, 1 low-grade astrocytic glioma, 3 anaplastic astrocytomas, 31 glioblastomas (of these 3 secondary glioblastomas and 2 gliosarcomas)], oligodendroglial [5 oligodendrogliomas, 3 anaplastic oligodendrogliomas], and 7 anaplastic oligoastrocytomas tumors. One tumor had been classified as glioneuronal neoplasm. Human male and female genomic reference DNA was purchased from Promega (Promega, Madison, WI). The results provide insights into molecular genetic changes associated with gliomagenesis. Keywords: other
2005-05-27 | GSE1991 | GEO
Project description:The outcome of patients with anaplastic gliomas varies considerably depending on histology and single molecular markers such as codeletion of 1p/19q and mutations of the isocitrate dehydrogenase (IDH) gene. Whether a molecularly-based classification of anaplastic gliomas based on large scale genomic or epigenomic analyses is superior to histopathology, may reflect distinct biological subtypes, predict outcome and guide therapy decisions had yet to be determined. Epigenome-wide DNA methylation analysis, which also allows for the detection of copy-number aberrations, was performed in a cohort of 228 patients with anaplastic gliomas (astrocytomas, oligoastrocytomas and oligodendrogliomas), including 115 patients of the NOA-04 trial. We further compared these tumors with a group of 55 glioblastomas. Unsupervised clustering demonstrated two main groups based on IDH mutation status: CpG island methylator phenotype (CIMP) positive (77.5%) or negative (22.5%). CIMP+ (IDH mutant) tumors showed a further separation based on copy-number status of chromosome arms 1p and 19q, but not based on histopathology. CIMP- (IDH wild type) tumors on the other hand showed hallmark copy-number alterations of glioblastomas. These tumors clustered together with CIMP- glioblastomas without forming separate groups based on WHO grade. There was no Tumor classification based on CIMP and 1p/19q status was significantly associated with survival allowing a better prediction of outcome than the current histopathological classification alone: Patients with CIMP+ tumors with 1p/19q codeletion had the best prognosis, followed by patients with CIMP+ but intact 1p/19q status. Patients with CIMP- anaplastic gliomas had the worst prognosis. Collectively, our data suggest that anaplastic gliomas can be grouped into three molecular subtypes with clear association to underlying biology and clinical outcome based on IDH and 1p/19q status. The data do not provide a molecular basis for the diagnosis of anaplastic oligoastrocytoma.
2014-06-06 | GSE58218 | GEO
Project description:The outcome of patients with anaplastic gliomas varies considerably depending on histology and single molecular markers such as codeletion of 1p/19q and mutations of the isocitrate dehydrogenase (IDH) gene. Whether a molecularly-based classification of anaplastic gliomas based on large scale genomic or epigenomic analyses is superior to histopathology, may reflect distinct biological subtypes, predict outcome and guide therapy decisions had yet to be determined. Epigenome-wide DNA methylation analysis, which also allows for the detection of copy-number aberrations, was performed in a cohort of 228 patients with anaplastic gliomas (astrocytomas, oligoastrocytomas and oligodendrogliomas), including 115 patients of the NOA-04 trial. We further compared these tumors with a group of 55 glioblastomas. Unsupervised clustering demonstrated two main groups based on IDH mutation status: CpG island methylator phenotype (CIMP) positive (77.5%) or negative (22.5%). CIMP+ (IDH mutant) tumors showed a further separation based on copy-number status of chromosome arms 1p and 19q, but not based on histopathology. CIMP- (IDH wild type) tumors on the other hand showed hallmark copy-number alterations of glioblastomas. These tumors clustered together with CIMP- glioblastomas without forming separate groups based on WHO grade. There was no Tumor classification based on CIMP and 1p/19q status was significantly associated with survival allowing a better prediction of outcome than the current histopathological classification alone: Patients with CIMP+ tumors with 1p/19q codeletion had the best prognosis, followed by patients with CIMP+ but intact 1p/19q status. Patients with CIMP- anaplastic gliomas had the worst prognosis. Collectively, our data suggest that anaplastic gliomas can be grouped into three molecular subtypes with clear association to underlying biology and clinical outcome based on IDH and 1p/19q status. The data do not provide a molecular basis for the diagnosis of anaplastic oligoastrocytoma. We investigated a subset of 228 anaplastic gliomas using the Illumina 450k methylation array.
2014-06-06 | E-GEOD-58218 | biostudies-arrayexpress
Project description:An integrated diagnosis using molecular features is recommended in the updated World Health Organization (WHO) classification. Our aim was to explore the role of MALDI-Mass spectrometry imaging (MSI) coupled to microproteomics in order to classify anaplastic glioma by integration of clinical data.
2016-12-13 | PXD004437 | Pride
Project description:Diffuse large B-cell lymphoma (DLBCL) is a clinically and biologically heterogeneous disease. We have characterized recurrent copy number alterations (CNAs) in a large series of primary DLBCLs with HD-SNP arrays and the GISTIC algromithm. We evaluated the associations between transcript abundance and the presence of specific CNAs by obtaining RNA profiles on the majority of the primary DLBCLs and integrating the gene expression profiles with the copy number data.
2012-09-12 | GSE34171 | GEO
Project description:10 patients with Intellectual Disability diagnosed with a clinically relevant copy number change, selected to assess the dection performance of alternative platforms.
2013-08-01 | GSE46060 | GEO
Project description:We report an integrated analysis incorporating DNA copy number analyses, somatic exon mutations, mRNA expression via RNA-sequencing, and shotgun mass spectrometry analysis of protein abundance in 108 surgically resected squamous cell lung cancers (SCC) with accompanying clinical outcome, evaluation of tumor pathology, and other clinically relevant data. We identified three major subtypes of SCC at the proteomic level, with two groups associated with inflammation/immune response or oxidation-reduction biology. Inflamed tumors could be further sub-classified based on neutrophil infiltration or antigen presentation proteomes and reflected patterns of infiltrating immune cells. No gene mutations, mRNA signatures, or proteomic subclasses were associated with outcomes; however, the presence of B-cell rich tertiary lymph node structures could be associated with better patient outcomes. By integrating our proteogenomic data with publicly available RNA interference screen data, we identified TP63, PSAT1, and AKR1C3 as vulnerabilities in SCC, particularly in the redox proteomic group. This cohort and its deep molecular data serves as an important resource to better understand biology and targets associated with SCC.
2019-05-24 | PXD010357 | Pride
Project description:We report an integrated analysis incorporating DNA copy number analyses, somatic exon mutations, mRNA expression via RNA-sequencing, and shotgun mass spectrometry analysis of protein abundance in 108 surgically resected squamous cell lung cancers (SCC) with accompanying clinical outcome, evaluation of tumor pathology, and other clinically relevant data. We identified three major subtypes of SCC at the proteomic level, with two groups associated with inflammation/immune response or oxidation-reduction biology. Inflamed tumors could be further sub-classified based on neutrophil infiltration or antigen presentation proteomes and reflected patterns of infiltrating immune cells. No gene mutations, mRNA signatures, or proteomic subclasses were associated with outcomes; however, the presence of B-cell rich tertiary lymph node structures could be associated with better patient outcomes. By integrating our proteogenomic data with publicly available RNA interference screen data, we identified TP63, PSAT1, and AKR1C3 as vulnerabilities in SCC, particularly in the redox proteomic group. This cohort and its deep molecular data serves as an important resource to better understand biology and targets associated with SCC.
2019-05-24 | PXD010429 | Pride