Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative Molecular Classification of Meningiomas

ABSTRACT: Integrative Molecular Classification of Meningiomas

PROVIDER: EGAS00001004982 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [CytoScanHD_Array]

Project description:Hepatoblastoma (HB) is the predominant pediatric liver cancer with limited therapeutic options for patients with aggressive tumors. Nevertheless, it is a rare disease. Here, we performed a high-throughput molecular study of 32 patients with HB and major findings were validated in additional 80 cases. We unveiled an epigenetic footprint including downregulation of RNA-editing, hyperediting of the tumor suppressor BLCAP,14q32 DLK1-DIO3 locus overexpression, DNA hypomethylation and CpG island hypermethylation. Based on these findings, we defined an integrative molecular classification of HB that improve current clinical stratification, and identified CHKA as a therapeutic target for the poor prognostic subclass.

2020-03-23 | GSE132218 | GEO

Genetic and epigenetic profiling identifies two distinct classes of spinal meningiomas

Project description: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. On the other hand, spinal meningiomas are missing in many of the large cohorts that were gathered for the molecular profiling of meningiomas. Also, they have never been thoroughly analyzed separately, and their classification still relies on histopathological findings solely. We analysed 65 tumour samples from 63 patients, who had histologically proven spinal meningioma to perform genetic and epigenetic profiling. Clinical features are described in Supplementary Table 1, online resource. T-distributed Stochastic Neighbor Embedding (t-SNE) analysis of genome-wide DNA methylation data shows that most spinal meningiomas separate from cranial meningiomas (Fig. 1A&B) and form two distinct clusters.

2022-10-12 | GSE212449 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [RNA-seq]

2020-03-23 | GSE133039 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [HTA-2_0]

2020-03-23 | GSE132037 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [Infinium MethylationEPIC]

2020-07-09 | GSE132399 | GEO

Proteomic analysis of meningiomas reveals clinically-distinct molecular patterns

Project description:Meningiomas represent one of the most common and clinically heterogeneous brain tumor types that only modestly correlate with histopathologic features. While emerging molecular profiling efforts have linked specific genomic drivers to distinct clinical patterns, the proteomic landscape of meningiomas remains largely unexplored. We utilize mass spectrometry to profile a clinically well-annotated cohort (n=69) of meningiomas stratified to span all three World Health Organization (WHO) grades and various degrees of clinical aggressiveness. In total, we quantify 3042 unique proteins and compare the patterns across different clinical parameters. Unsupervised clustering analysis highlighted distinct proteomic (n=106 proteins, Welch’s t-test, P<0.01) and pathway-level (e.g. Notch and PI3K/AKT/mTOR) differences between convexity and skull base meningiomas. Supervised comparative analyses of different pathological grades revealed distinct patterns between benign (WHO Grade I) and atypical/malignant (WHO Grade II and III) meningiomas with classic oncogenes often enriched in higher grade lesions. Independent of WHO grade, clinically aggressive meningiomas, that rapidly recurred, also had distinctive protein patterns that converged on mRNA processing and impaired activation of the extracellular matrix naba matrisome complex. Larger sized meningiomas, and those with previous radiation exposure, also had distinct protein profiles. Collectively, we highlight distinct clinically-dependent proteomic patterns of meningiomas that may help better predict outcome and guide the development of more personalized and directed therapies.

2019-05-30 | PXD012923 | Pride

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications

Project description:Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications

| PRJNA546530 | ENA

6e02c5eb-aea2-4be3-977f-bb90d0905486 - samples

Project description:RNA-sequencing of meningiomas for integrative molecular classification.

| EGAD00001007494 | EGA

98344a30-5717-4857-8bdd-14f0babe88ad - samples

Project description:Single-nucleus RNA-sequencing of meningiomas for integrative molecular classification

| EGAD00001007677 | EGA

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [CytoScanHD_Array]

Project description:Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [CytoScanHD_Array]

| PRJNA546537 | ENA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data