GEO DataSets

(Submitter supplied) Meningiomas are frequent central nervous system tumors. Although most meningiomas are benign (WHO grade I) and curable by surgery, WHO grade II and III tumors remain therapeutically challenging due to frequent recurrence. Interestingly, relapse also occurs in some WHO grade I meningiomas. Hence, we investigated the transcriptional features defining aggressive (recurrent, malignantly progressing or WHO grade III) meningiomas in 144 cases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

62 Samples

Download data: TXT

(Submitter supplied) Comparative transcriptomic analysis of n=10 primary Meningioma WHO grade III

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

10 Samples

Download data: TXT

(Submitter supplied) Meningiomas account for roughly one-third of all primary brain tumors. Although typically benign, about 20% of meningiomas are aggressive, and despite the rigor of the current histopathological classification system, there remains considerable uncertainty in predicting tumor behavior. Here we analyzed 160 tumors from all three WHO grades (I-III) using clinical, gene expression and sequencing data. Unsupervised clustering analysis identified three molecular groups that reliably predicted clinical severity. These groups did not directly correlate with the WHO grading system, which would classify more than half of the tumors in the most aggressive molecular group as benign. Transcriptional and biochemical analyses revealed that aggressive meningiomas involve loss of the repressor function of the DREAM complex, resulting in cell cycle activation, and only tumors in this group tend to recur after full resection. These findings should improve our ability to predict recurrence and develop targeted treatments for these clinically challenging tumors.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

160 Samples

Download data: TXT

(Submitter supplied) Correlate the gene expression profiles with the most relevant patterns of chromosome abnormalities (cytogenetic subgroups of meningiomas) and the gene expression profiles could help to explain the differences in clinical behaviour of meningiomas.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

51 Samples

Download data: CEL

(Submitter supplied) Experiment: Establishment of expression profiles in grade I and grade II meningiomas and in normal control brain samples. We extracted DNA from specimens and performed mutational analysis in meningiomas and extracted RNA that was processed and hybridized to Affymetrix microarrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

14 Samples

Download data: CEL, TXT

(Submitter supplied) This study reports clinical, genetic, epigenetic, gene expression, and cellular features distinguishing meningioma DNA methylation subgroups within meningioma DNA methylation groups. We present these data in the context of molecular and clinical models predicting postoperative outcomes across 565 meningiomas with comprehensive clinical follow-up from independent discovery and validation institutions. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

302 Samples

Download data: TAR

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing

Platforms:

GPL20301 GPL23976

220 Samples

Download data: IDAT

(Submitter supplied) Purpose: Clustering of meningiomas using DNA methylation and RNA-sequencing data yields groups which predict clinical behavior than the current clinical standard of histopathologic grading. Both techniques segregate many common genomic features seen in meningiomas similarly, raising the question of whether they were identifying the same underyling groups. Methods: DNA methylation profiling (EPIC 850K array) and RNA-sequencing of 110 primary meningiomas was performed. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

110 Samples

Download data: CSV, XLSX

(Submitter supplied) Purpose: Clustering of meningiomas using DNA methylation and RNA-sequencing data yields groups which predict clinical behavior than the current clinical standard of histopathologic grading. Both techniques segregate many common genomic features seen in meningiomas similarly, raising the question of whether they were identifying the same underyling groups. Methods: DNA methylation profiling (EPIC 850K array) and RNA-sequencing of 110 primary meningiomas was performed. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL23976

110 Samples

Download data: CSV, IDAT, XLSX

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array; Methylation profiling by genome tiling array; Other

Platforms:

GPL13534 GPL18900

43 Samples

Download data: IDAT

(Submitter supplied) Meningiomas are the most common primary brain tumor. Though typically benign with a low mutational burden, histopathologic analysis has poor predictive value for malignant behavior and there are no proven chemotherapies. Although DNA methylation patterns distinguish subgroups of meningiomas and have higher predictive value for tumor behavior than histologic classification, little is known about differences in DNA methylation between meningiomas and surrounding normal dura tissue. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array; Third-party reanalysis

Platform:

GPL13534

24 Samples

Download data: IDAT, TXT

(Submitter supplied) Meningiomas are the most common primary brain tumor. Though typically benign with a low mutational burden, histopathologic analysis has poor predictive value for malignant behavior and there are no proven chemotherapies. Although DNA methylation patterns distinguish subgroups of meningiomas and have higher predictive value for tumor behavior than histologic classification, little is known about differences in DNA methylation between meningiomas and surrounding normal dura tissue. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL18900

19 Samples

Download data: IDAT, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platform:

GPL16791

85 Samples

Download data: BW

(Submitter supplied) Meningiomas are the most common primary intracranial tumor. However, surgical resection and radiation frequently fail to eliminate high grade tumors, leading to significant morbidity and mortality. Predicting which tumors will recur rapidly is critical to effective treatment strategies. To address the prognostic challenges and dearth of therapeutic targets, we interrogated the enhancer landscape of a diverse cohort of meningiomas. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

13 Samples

Download data: CSV

(Submitter supplied) Meningiomas are the most common primary intracranial tumor. However, surgical resection and radiation frequently fail to eliminate high grade tumors, leading to significant morbidity and mortality. Predicting which tumors will recur rapidly is critical to effective treatment strategies. To address the prognostic challenges and dearth of therapeutic targets, we interrogated the enhancer landscape of a diverse cohort of meningiomas. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL16791

72 Samples

Download data: BW

(Submitter supplied) Although meningiomas are one of the most frequent primary intracranial tumors, there are only a few studies dealing with gene regulation processes in meningiomas. MiRNAs are key regulators of gene expression and regulation and miRNA profiles offer themselves as biomarkers for cancer development and progression. To investigate the role of miRNAs during meningioma growth and progression, we compared expression of 1205 miRNAs in 55 meningioma samples of different tumor grades and histological subtypes. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL16770

55 Samples

Download data: TXT

(Submitter supplied) Spinal meningiomas account for 1.2-12% of all meningiomas and 25-45% of all spinal tumours. About 20% of intracranial, but also 4.6% of spinal meningiomas recur and require additional treatment. The classification of intracranial meningiomas has evolved considerably in recent years and uses genetic [1,2,4] as well as epigenetic parameters [3,5] in order to more precisely predict the patients’ prognosis and to lay the ground for therapeutic regiments that are adapted to the aggressiveness of a patient’s tumor. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platforms:

GPL13534 GPL21145

65 Samples

Download data: IDAT

(Submitter supplied) RNA Nanostring from human meningioma samples This set of data pertains to RNA extracted from 2mm core punches from the representative FFPE blocks, on which a custom codeset was run.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL33289

16 Samples

Download data: RCC

(Submitter supplied) DNA methylation from human meningioma samples that were also profiled for spatial heterogeneity analysis. Some samples represent spatially distinct regions, punched using a 2mm core punch from FFPE blocks in a given tumor. Other samples represent serial tumor samples at index treatment and then recurrence.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

16 Samples

Download data: IDAT, TXT

(Submitter supplied) Genome wide DNA methylation profiling of formalin-fixed paraffin-embedded (FFPE) meningioma samples. The Illumina Infinium MethylationEPIC BeadChip was used to obtain DNA methylation profiles across approximately 850,000 methylation sites across the genome at single-nucleotide resolution.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL23976

64 Samples

Download data: IDAT, TXT