Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

13 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Processed small RNA sequencing data of plasma samples from patients with esophageal adenocarcinoma or precursor lesions

ABSTRACT: In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: Jo Vandesompele

PROVIDER: E-MTAB-10004 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Processed mRNA capture sequencing data of plasma samples from patients with esophageal adenocarcinoma or precursor lesions

Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.

2022-01-01 | E-MTAB-10002 | biostudies-arrayexpress

Processed polyA+ RNA sequencing data of tissue samples from patients with esophageal adenocarcinoma or precursor lesions

2022-01-01 | E-MTAB-10005 | biostudies-arrayexpress

Processed small RNA sequencing data of healthy and disease tissue samples from patients with esophageal adenocarcinoma or precursor lesions

2022-01-01 | E-MTAB-10003 | biostudies-arrayexpress

Alteration of protein expression and spliceosome pathway activity during Barrett’s carcinogenesis.

Project description:Esophageal adenocarcinoma (EAC) is a common and aggressive type of cancer and Barrett’s esophagus (BE) is a known precursor lesion and the strongest risk factor for EAC. Prediction of risk is currently based on histologic examination which is challenged by problems such as inter-observer variability due to high heterogeneity of the dysplastic tissue. Molecular markers might offer an additional way to understand carcinogenesis and improve diagnosis and eventually treatment. .

2021-09-09 | PXD020903 | Pride

Transformation of Barrett's esophagus stem cell, gastric cardia stem cells and normal esophagus stem cells

Project description:Barrett’s esophagus confers significant risk of esophageal adenocarcinoma. We have established the cloning of patient-matched stem cells of Barrett’s, gastric, and esophageal epithelium. Transplantation of transformed Barrett’s stem cells yielded tumors with hallmarks of esophageal adenocarcinoma, whereas transformed esophageal stem cells produced squamous cell carcinomas. These findings define a stem cell target in a precancerous lesion for preemptive therapies.

2015-10-01 | GSE64894 | GEO

Gene expression profiling of Barrett’s esophageal tissues and esophageal adenocarcinoma specimens

Project description:Specimens were collected from esophageal adenocarcinoma patients undergoing esophagectomy for adenocarcinoma at the University of Michigan Health System between 1991 and 2004. Written consent was obtained from each patient according to the approval and guidelines of the University of Michigan institutional review board. Patients receiving treatment with chemotherapy and/or radiotherapy prior to surgery were excluded. Tissue samples were fresh-frozen in liquid nitrogen and stored at −80 °C until use. Cellularity of metaplastic, dysplastic, and tumor samples were assured to be greater than 70% before sample RNA was isolated. RNA from 31 Barrett’s and 15 adenocarcinoma samples was extracted and processed for hybridization on Affymetrix HG-U133A microarrays.

2012-04-10 | E-GEOD-37200 | biostudies-arrayexpress

Barrett's esophageal tissues and esophageal adenocarcinoma specimens

Project description:This SuperSeries is composed of the following subset Series: GSE37200: Gene expression profiling of Barrett’s esophageal tissues and esophageal adenocarcinoma specimens GSE37201: Gene expression profiling of esophageal adenocarcinoma Refer to individual Series

2012-04-10 | E-GEOD-37203 | biostudies-arrayexpress

Homo sapiens

Project description:Global DNA methylation patterns in Barrett’s esophagus, dysplastic Barrett’s, dysplastic Barrett’s, and esophageal adenocarcinoma are associated with BMI, gender, and tobacco use

| PRJNA350540 | ENA

Increased PXR and suppressed T-cell signaling are associated with malignant degeneration of Barrett’s esophagus

Project description:Barrett’s esophagus (BE) is the precursor lesion for esophageal adenocarcinoma (EAC). To detect EAC in early stage, patients with BE undergo endoscopic surveillance. Surveillance cohorts largely consist of non-dysplastic Barrett’s esophagus (NDBE) patients with a low annual progression risk (<0.5%). Predictive biomarkers for malignant progression of NDBE could improve efficacy of surveillance. Biomarker research has mostly focused on aberrant protein expression on BE epithelial cells. Moreover, insight in cell signaling driving malignant transformation is unknown. This study uses a data-driven approach to analyze tumor-stroma interaction in NDBE which progressed to high grade dysplasia (HGD) or EAC.

2023-01-08 | GSE210647 | GEO

Cloning Barrett’s esophagus stem cells

Project description:Barrett’s esophagus is a precancerous lesion that confers a significant risk of esophageal adenocarcinoma. Strategies for selective eradication of Barrett’s have been stymied by our inability to identify the Barrett’s stem cell. Here we employ novel technologies to clone patient-matched stem cells of Barrett’s, gastric, and esophageal epithelium. Genomic analyses of Barrett’s stem cells reveal a patient-specific mutational spectrum ranging from low somatic variation similar to patient-matched gastric epithelial stem cells to ones marked by extensive heterozygous alteration of genes implicated in tumor suppression, epithelial planarity, and epigenetic regulation. Transplantation of transformed Barrett’s stem cells yields tumors with hallmarks of esophageal adenocarcinoma, whereas transformed esophageal stem cells yield squamous cell carcinomas. Thus Barrett’s develops from cells distinct from local eponymous epithelia, emerges without obvious driver mutations, and likely progresses through and from the generation of dominant clones. These findings define a stem cell target for preemptive therapies of a precancerous lesion.

2015-10-01 | GSE49292 | GEO

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