Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of a serum six-microRNA panel as potential noninvasive biomarker for meningioma

ABSTRACT: TaqMan low density array (TLDA) was carried out to screen of the profiles of circulating miRNAs in pooled serum samples from healthy controls and pre-operative meningioma patients. The expression changes of circulating miRNAs in meningioma patients were identified.

ORGANISM(S): Homo sapiens

PROVIDER: GSE80116 | GEO | 2016/04/12

SECONDARY ACCESSION(S): PRJNA317969

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Identification of a plasma four-microRNA panel as a potential noninvasive biomarker for osteosarcoma

Project description:TaqMan low density array (TLDA) was carried out to screen of the profiles of circulating miRNAs in pooled plasma samples from healthy controls and pre-operative osteosarcoma patients. The expression changes of circulating miRNAs in osteosarcoma patients were identified. To select candidate plasma miRNAs for osteosarcoma detection and monitoring, we employed TLDA technique to screen expression levels of 739 miRNAs in pooled plasma samples from healthy controls and pre-operative osteosarcoma patients (each pooled from 10 individuals).

2015-01-13 | E-GEOD-64915 | biostudies-arrayexpress

Identification of a plasma four-microRNA panel as a potential noninvasive biomarker for osteosarcoma

2015-01-13 | GSE64915 | GEO

MiRNA profiling of meningioma of different grades and histological subtypes

Project description: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. We were able to classify histological subtypes in WHO grade I meningiomas with up to 97% accuracy (meningothelial versus fibroblastic) and different WHO grades with up to 93% accuracy (WHO I versus WHO III). We found significant downregulation of miRNAs on chromosome 1p36 and within two large miRNA clusters on 14q32 in high grade meningiomas, two regions that are yet associated with meningioma progression. We also identified several miRNAs associated with epithelial to mesenchymal transition differentially expressed in meningothelial meningioma compared to fibroblastic meningioma. Combined, our data show that meningiomas of different WHO grades and histological subtypes show a specific miRNA expression profile. Some individual miRNAs can also serve as potential biomarkers for meningioma progression.

2014-12-31 | GSE50641 | GEO

Human meningioma culture

Project description:Comparison of the gene expression profiles with meningiomas of different grading. 24 primary meningioma cultures from surgical specimen were maintained to primary meningioma cultures.

2014-03-06 | E-GEOD-55609 | biostudies-arrayexpress

Whole genome expression in meningioma

Project description:We performed expression profiling of 24 meningioma and two dura controls analyzing 55000 transcripts including 18300 known genes. We compared expression in meningioma vs. dura, expression of low grade (WHO I) vs. higher-grade (WHO II and WHO IIII) tumors and expression of meningothelial and syncytial meningioma vs. fibroblastic meningioma. Gene expression was analysed in 24 meningioma including eight of each WHO grade and two dura controls analyzing 55000 transcripts including 18300 known genes.

2008-11-20 | E-GEOD-12530 | biostudies-arrayexpress

Meningioma methylation analysis.

Project description:Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.

2021-07-14 | GSE180061 | GEO

Meningioma methylation analysis

Project description:Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.

2022-03-30 | GSE168726 | GEO

Affymetrix GeneChip miRNA 4.0 Array for meningioma recurrence profilling

Project description:Variability of meningioma growth, even within benign subgroup, makes some remain unaltered, while others grow fast despite an appended radiotherapy. Biomarkers that differentiate between less and more aggressive meningiomas would therefore have a significant clinical benefit in prediction of their biological behaviour. The aim of the study was to identify new candidate miRNAs enabling better and proper prediction of meningioma recurrence. We used miRNA 4.0 array (Applied Biosystems, Foster City, CA, USA) to detect miRNA profiles in 44 primary meningioma patients (19 with subsequent recurrence) and 5 healthy controls. Moreover, miRNA profiles were analyzed in 15 secondary meningiomas.

2019-02-15 | GSE126563 | GEO

Whole genome expression in meningioma

2008-11-21 | GSE12530 | GEO

Meningioma methylation analysis.

Project description:Meningioma methylation analysis.

| PRJNA746393 | ENA