Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation and Panel sequencing for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs)

ABSTRACT: Pancreatic Neuroendocrine Neoplasms (PanNENs) are two subclasses: the well-differentiated, low to high-grade Pancreatic Neuroendocrine Tumors (PanNETs) and the poorly-differentiated, high-grade Pancreatic Neuroendocrine Carcinomas (PanNECs). DNA methylation and sequencing was performed for 57 PanNEN samples to decipher distinct methylation profiles separating PanNENs. Our study provides a robust and clinically applicable method to clearly distinguish PanNECs from PanNETG3s and improve patient stratification.

PROVIDER: EGAS00001005731 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association

Project description:This study evaluate the methylation profile of 84 clinically sporadic pancreatic neuroendocrine tumors (PanNETs) with associated clinical and genomic information. We identified three subgroups of PanNETs, termed T1, T2 and T3, with distinct patterns of methylation. The T1 subgroup was enriched for functional tumors and ATRX, DAXX and MEN1 wild-type genotypes. The T2 subgroup contained tumors with mutations in ATRX, DAXX and MEN1 and recurrent patterns of chromosomal losses in half of the genome with no association between regions with recurrent LOH and methylation levels. T2 tumors were larger and had lower methylation in the MGMT gene body, which showed positive correlation with gene expression. The T3 subgroup harboured mutations in MEN1 with recurrent LOH of chromosome 11, was enriched for grade G1 tumors and showed histological parameters associated with better prognosis. Our results suggest a role for methylation in both driving tumorigenesis and potentially stratifying prognosis in PanNETs. These set of normal adjacent pancreata was compared to ICGC pancreatic neuroendocrine tumour methylation. We identified CpG sites located in promoter regions with low levels of methylation (beta value <0.3) in all normal adjacent pancreata and from those selected the most variable probes with a standard deviation >0.20 of DNA methylation levels across all tumors to identify sub-groups.

2021-02-16 | GSE149395 | GEO

Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

Project description:Pancreatic neuroendocrine neoplasms (PNENs) are biologically and clinically heterogeneous neoplasms. We used quantitative global proteomic analysis on 40 PNENs to compliment paired transcriptome data.

2021-11-30 | PXD024175 | Pride

RHAMMB promotes metastasis of pancreatic neuroendocrine tumor

Project description:Analysis of molecular mechanisms by which RHAMMB promote metastasis of pancreatic neuroendocrine tumor.

2024-04-16 | GSE200497 | GEO

MUC1-C DICTATES NEUROENDOCRINE LINEAGE SPECIFICATION IN PANCREATIC DUCTAL ADENOCARCINOMAS

Project description:MUC1-C drives neuroendocrine lineage plasticity in pancreatic adenocarcinomas

2021-08-13 | GSE181961 | GEO

Methylation Heterogeneity within Human non-functional Pancreatic neuroendocrine tumors (PanNETs)

Project description:Methylation Heterogeneity within Human non-functional Pancreatic neuroendocrine tumors (PanNETs)

| PRJNA483444 | ENA

Recurrent loss of heterozygosity correlates with clinical outcome in pancreatic neuroendocrine cancer

Project description:Pancreatic neuroendocrine tumors (pNETs) are uncommon cancers arising from pancreatic islet cells. Here we report analysis of gene mutation, copy number and RNA expression of 57 sporadic well-differentiated pNETs.

| EGAS00001003038 | EGA

Transcriptome of human non-functional pancreatic neuroendocrine tumors (PanNETs)

Project description:The most commonly mutated genes in pancreatic neuroendocrine tumors (PanNETs) are ATRX, DAXX, and MEN1. Little is known about the cells-of-origin for non-functional neuroendocrine tumors. Here, we genotyped 64 PanNETs for mutations in ATRX, DAXX, and MEN1 and found 37 tumors (58%) carry mutations in these three genes (A-D-M mutant PanNETs) and this correlates with a worse clinical outcome than tumors carrying the wild-type alleles of all three genes (A-D-M WT PanNETs). We performed RNA sequencing and DNA-methylation analysis on 33 randomly selected cases to reveal two distinct subgroups with one group consisting entirely of A-D-M mutant PanNETs. Two biomarkers differentiating A-D-M mutant from A-D-M WT PanNETs were high ARX gene expression and low PDX1 gene expression with PDX1 promoter hyper-methylation in the A-D-M mutant PanNETs. Moreover, A-D-M mutant PanNETs had a gene expression signature related to that of alpha cells (pval < 0.009) of pancreatic islets including increased expression of HNF1A and its transcriptional target genes. This gene expression profile suggests that A-D-M mutant PanNETs originate from or transdifferentiate into a distinct cell type similar to alpha cells.

2018-10-01 | GSE118014 | GEO

Methylation Heterogeneity within Human non-functional Pancreatic neuroendocrine tumors (PanNETs)

Project description:DNA CpG methylation profiling of PanNETs patients samples were performed to understand genotype to phenotype corrlelations , novel molecular subtypes and cell of origins The most commonly mutated genes in pancreatic neuroendocrine tumors (PanNETs) are ATRX, DAXX, and MEN1. Little is known about the cells-of-origin for non-functional neuroendocrine tumors. Here, we genotyped 64 PanNETs for mutations in ATRX, DAXX, and MEN1 and found 37 tumors (58%) carry mutations in these three genes (A-D-M mutant PanNETs) and this correlates with a worse clinical outcome than tumors carrying the wild-type alleles of all three genes (A-D-M WT PanNETs). We performed RNA sequencing and DNA-methylation analysis on 33 randomly selected cases to reveal two distinct subgroups with one group consisting entirely of A-D-M mutant PanNETs. Two biomarkers differentiating A-D-M mutant from A-D-M WT PanNETs were high ARX gene expression and low PDX1 gene expression with PDX1 promoter hyper-methylation in the A-D-M mutant PanNETs. Moreover, A-D-M mutant PanNETs had a gene expression signature related to that of alpha cells (pval < 0.009) of pancreatic islets including increased expression of HNF1A and its transcriptional target genes. This gene expression profile suggests that A-D-M mutant PanNETs originate from or transdifferentiate into a distinct cell type similar to alpha cells.

2018-10-01 | GSE117852 | GEO

A cross species and multi-omics (including metabolomics) analysis in pancreatic neuroendocrine tumours

Project description:Pancreatic neuroendocrine tumor (PanNET) is relatively infrequent but is nevertheless metastatic. Seeking to extend a new paradigm of personalized medicine, we performed an integrative analysis of transcriptomic (mRNA and microRNA) and mutational profiles and defined three clinically relevant human PanNET subtypes. Importantly, cross-species analysis revealed two of these three subtypes in a well-characterized, genetically engineered mouse model (RIP1-Tag2) of PanNET and its cell lines. Each subtype share similarities to distinct cell types in pancreatic neuroendocrine development, features are reflected in their metabolic profiles. Subtype-specific molecular signatures metabolites are proposed to identify these subtypes. RNA was extracted from fresh frozen archival patient PanNET samples and hybridized on Affymetrix GeneChip human Gene 1.0 ST arrays. The CEL files were processed using R based bioconductor and normalized values were obtained using RMA.

2015-10-30 | E-GEOD-73339 | biostudies-arrayexpress

Whole Exome Sequencing of Pancreatic Neuroendocrine Tumors

Project description:<p>Pancreatic neuroendocrine tumors (PNETs), often referred to as "islet cell tumors", are neuroendocrine neoplasms that arise from cells of the endocrine and nervous system within the pancreas. These rare tumors which originate from the pancreatic islet are divided into many categories and are often classified by the hormone most strongly secreted. With the collaboration of the Elkins Pancreatic Center, the Human Genome Sequencing Center (HGSC) at Baylor College of Medicine had access to approximately 30 untreated tumor specimens and matched normal blood samples. Since the onset and progression of cancer is driven by extensive mutation of the genome, we are combining enrichment of exonic DNA with next generation sequencing to detect and characterize the somatic mutation profile of patients with pancreatic neuroendocrine cancer.</p> <p>This work was done at the Human Genome Sequencing Center (HGSC) in collaboration with the Elkins Pancreatic Center at Baylor College of Medicine in Houston, TX and was supported by grant number 5U54HG003273 from National Human Genome Research Institute (NHGRI).</p>

| phs000871 | dbGaP

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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