Similar Datasets
Project description:A custom Nanostring nCounter panel of 100 or 75 meningioma related genes and reference genes was developed, and performed on human frozen and FFPE meningioma samples. This was done as part of a study developing and validating a targeted gene expression biomarker for meningioma outcomes after surgey and benefit from raditherapy.
2023-09-06 | GSE222054 | GEO
Project description:Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.
2022-03-30 | GSE168726 | GEO
Project description:Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.
2021-07-14 | GSE180061 | GEO
Project description:Meningiomas are one of the most common adult brain tumors. For most patients, surgical excision is curative. However, up to 20% recur. Currently, the molecular determinants predicting recurrence and malignant transformation are lacking. We performed global genetic and genomic analysis of 85 meningioma samples of various grades. Copy number alterations were assessed by 100K SNP arrays and correlated with gene expression, proliferation indices, and clinical outcome. In addition to chromosome 22q loss, which was detected in the majority of clinical samples, chromosome 18q and 6q loss significantly predicted recurrence and was associated with anaplastic histology. Five "classes" of meningiomas were detected by gene expression analysis that correlated with copy number alterations, recurrence risk, and malignant histology. These classes more accurately predicted tumor recurrence than Ki-67 index, the gold standard for determining risk of recurrence, and highlight substantial expression heterogeneity between meningiomas. These data offer the most complete description of the genomic landscape of meningiomas and provide a set of tools that could be used to more accurately stratify meningioma patients into prognostic risk groups. Tumor biopsies from 53 female and 32 male subjects with sporadic meningioma were identified from the UCLA Neuro-oncology Program Tissue Bank through institutional review board approved protocols. 57 tumors were designated "benign" WHO I, 20 tumors were "atypical" WHO II, and 8 were "anaplastic" WHO III. Affymetrix SNP arrays were performed according to the manufacturer's instructions on DNA extracted from flash frozen meningioma tumors.
2011-10-11 | E-GEOD-16583 | biostudies-arrayexpress
Project description:The aim of this study was to determine the relationship between gene expression profiles and new metabolic subgroups of benign meningioma with potential clinical relevance. 19 human meningiomas biopsies were obtained at the Department of Neurosurgery of the Clinical University Hospital of Valencia. This study was reviewed and approved by the local ethics committee. During surgery, most of the resected tissue was sent for routine histological analysis and the remainder was immediately put in cryogenic vials and snap-frozen in liquid nitrogen. All snap-frozen samples were stored in a freezer at -80 C until further analysis. Tumors were classified according to the 2007 WHO Histological Classification 1. Grade II meningioma were classified according to previously published criteria, including high mitotic index and three out of five markers of atypia.In summary, this work demonstrates gene expression differences in a new subgroup of histological benign meningiomas that exhibit aggressive metabolism and tumor recurrence.
2012-08-31 | E-MEXP-3586 | biostudies-arrayexpress
Project description:We report single-cell RNA sequencing of 57,114 cells from 8 meningioma samples and 2 dura samples, which are used to analyze the inter- and intra-meningioma heterogeneity across DNA methylation groups.
2022-01-10 | GSE183655 | GEO
Project description:We report RNA sequencing of 185 meningiomas, which are used to interrogate the biology underlying DNA methylation groups of meningioma.
2022-01-10 | GSE183653 | GEO
Project description:Meningiomas, named for their cell of origin, are the most common intracranial tumors in adults, representing 39% of all primary adult central nervous system tumors. These tumors originate in the meninges, which are the outer three layers of tissue between the skull and the brain that cover and protect the brain just under the skull. Most meningioma tumors (85-90 percent) are categorized as benign, with the remaining 10-15 percent being atypical meningioma or malignant meningioma (cancerous). The word “benign” can be misleading for meningiomas. Depending on location and growth rate, a benign meningioma brain tumor may impinge on vital nerves or compress the brain, causing disability. They may even become life threatening. We describe transcriptional signatures of four most common groups of benign meningiomas. Each subgroup of meningiomas displayed a unique gene expression program identifying signaling pathways potentially implicated in the tumorigenesis. These findings will improve our understanding of meningioma tumorigenesis. Objective: To define gene expression signatures of the most common subtypes of meningiomas to better understand cellular processes and signaling pathways specific for each tumor genotype.
2023-03-10 | GSE221429 | GEO
Project description:Meningiomas, one of the most common human brain tumors, are derived from arachnoidal cells associated with brain meninges, usually benign and frequently associated with neurofibromatosis type 2. Here we define a human meningioma-typical miRNA profile and characterize effects of one down-regulated miRNA, miR-200a, on tumor growth. Elevated levels of miR-200a inhibited meningioma cell growth in culture and in a tumor model in vivo. Up-regulation of miR-200a decreased expression of transcription factors, ZEB1 and SIP1, with consequently increased expression of E-cadherin, an adhesion protein associated with cell differentiation. Down-regulation of miR-200a in meningiomas and arachnoidal cells resulted in increased expression of β -catenin and cyclin D1 involved in cell proliferation. miR-200a was found to directly target β -catenin mRNA, thereby inhibiting its translation and blocking β -catenin-Wnt signaling, frequently involved in cancer. A direct correlation was found between down-regulation of miR-200a and up-regulation of β-catenin in human meningioma samples. Thus, miR-200a appears to act as a multi-functional tumor suppressor miRNA in meningiomas through effects on the E-cadherin and β -catenin-Wnt signaling pathways. This reveals a previously unrecognized signaling cascade involved in meningioma tumor development and highlights a novel molecular interaction between miR-200a and Wnt signaling, thereby providing insights into novel therapies for meningiomas. 14 meningioma tumor samples were compared to 3 arachnoidal tissue control samples. Two technical replicates were performed for each sample. Normalization and processing included combining the data from technical replicates. The below table contains quantile-normalized data.
2010-06-24 | E-GEOD-17792 | biostudies-arrayexpress
Project description:Meningiomas are one of the most common adult brain tumors. For most patients, surgical excision is curative. However, up to 20% recur. Currently, the molecular determinants predicting recurrence and malignant transformation are lacking. We performed global genetic and genomic analysis of 85 meningioma samples of various grades. Copy number alterations were assessed by 100K SNP arrays and correlated with gene expression, proliferation indices, and clinical outcome. In addition to chromosome 22q loss, which was detected in the majority of clinical samples, chromosome 18q and 6q loss significantly predicted recurrence and was associated with anaplastic histology. Five classes of meningiomas were detected by gene expression analysis that correlated with copy number alterations, recurrence risk, and malignant histology. These classes more accurately predicted tumor recurrence than Ki-67 index, the gold standard for determining risk of recurrence, and highlight substantial expression heterogeneity between meningiomas. These data offer the most complete description of the genomic landscape of meningiomas and provide a set of tools that could be used to more accurately stratify meningioma patients into prognostic risk groups. Tumor biopsies from 43 female and 25 male subjects with sporadic meningioma were identified from the UCLA Neuro-oncology Program Tissue Bank through institutional review board approved protocols. 43 tumors were designated "benign" WHO I, 19 tumors were "atypical" WHO II, and 6 were "anaplastic" WHO III. Gene expression analysis was performed on the 68 tumor biopsies.
2010-11-30 | E-GEOD-16581 | biostudies-arrayexpress