Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of gastroesophageal adenocarcinoma

ABSTRACT: We aimed to genetically characterize adenocarcinomas in the gastroesophagel junction in relation to cancers in the esophagus and the stomach. In total 27 tumors was genetically profiled using gene expression array. Adenocarcinomas located in the gastroesophageal junction showed strong similarites with tumors in the distal esophagus, whereas different profiles were generated for tumors in the proximal stomach.

ORGANISM(S): Homo sapiens

PROVIDER: GSE22050 | GEO | 2010/05/29

SECONDARY ACCESSION(S): PRJNA128981

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression profiling of gastroesophageal adenocarcinoma

Project description:We aimed to genetically characterize adenocarcinomas in the gastroesophagel junction in relation to cancers in the esophagus and the stomach. In total 27 tumors was genetically profiled using gene expression array. Adenocarcinomas located in the gastroesophageal junction showed strong similarites with tumors in the distal esophagus, whereas different profiles were generated for tumors in the proximal stomach. Three types of gastroesophageal adenocarcinomas; 10 distal esophageal (EA) tumors, 9 junctional (JA) and 8 proximal stomach cancers (GA) was undergone differentially analysis based on gene expression profiles. One replicate of tumor ID 27_JA (replicate ID 27_JA_2) and one replicate of tumor ID 3-GA (replicate ID 3-GA-2). Reference samples consist of the Stratagene Universal Reference (10 cellines), commercially obtained from Stratagene, La Jolla, CA, USA.

2010-05-29 | E-GEOD-22050 | biostudies-arrayexpress

Genomic profiling of gastroesophageal adenocarcinoma

Project description:We aimed to characterize the genomic profiles of adenocarcinomas in the gastroesophageal junction in relation to cancers in the esophagus and the stomach. Profiles of gains/losses as well as gene expression profiles were obtained from 27 gastroesophageal adenocarcinomas using 32k high-resolution array-based comparative genomic hybridization (aCGH) and 27k oligo gene expression arrays and putative target genes were validated in an extended series. Adenocarcinomas in the distal esophagus and the gastroesophageal junction showed strong similarities with the most common gains at 20q13, 8q24, 1q21-q23, 5p15, 13q34, and 12q13, whereas different profiles with gains at 5p15, 7p22, 2q35, and 13q34 characterized gastric cancers. CDK6 and EGFR were identified as putative target genes in cancers of the esophagus and the gastroesophageal junction with upregulation in one quarter of the tumors. Gains/losses and gene expression profiles show strong similarity between cancers in the distal esophagus and the gastroesophageal junction with frequent upregulation of CDK6 and EGFR, whereas gastric cancer displays distinct genetic changes. These data suggest that molecular diagnostics and targeted therapies can be applied to adenocarcinomas of the distal esophagus and gastroesophageal junction alike. Three types of gastroesophageal adenocarcinomas; 7 distal esophageal (EA) tumors, 9 junctional (JA) and 7 proximal stomach cancers (GA) was genomically profiled using tiling 32k BAC-arrays. Two replicates of tumors IDs 1-EA-CGH (replicate 1-EA-CGH-2), 12-EA-CGH (replicate 12-EA-CGH-2) and 18-EA-CGH (replicate 18-EA-CGH-2). Reference samples consist of a pool of male DNA (Promega, Madison, WI, USA).

2010-06-24 | E-GEOD-22524 | biostudies-arrayexpress

Genomic profiling of gastroesophageal adenocarcinoma

2010-06-24 | GSE22524 | GEO

Decoding Spatiotemporal Transcriptional Dynamics and Epithelial Fibroblast Crosstalk during Gastroesophageal Junction Development through Single Cell Analysis (Organoids)

Project description:The gastroesophageal squamocolumnar junction (GE-SCJ) is a critical tissue interface between the esophagus and stomach, with significant relevance in the pathophysiology of gastrointestinal diseases. Despite this, the molecular mechanisms underlying GE-SCJ development remain unclear. Using single-cell transcriptomics, organoids, and spatial analysis, we examine the cellular heterogeneity and spatiotemporal dynamics of GE-SCJ development from embryonic to adult mice. We identify distinct transcriptional states and signaling pathways in the epithelial and mesenchymal compartments of the esophagus and stomach during development. Fibroblast-epithelial interactions are mediated by various signaling pathways, including WNT, BMP, TGF-β, FGF, EGF, and PDGF. Our results suggest that fibroblasts predominantly send FGF and TGF-β signals to the epithelia, while epithelial cells mainly send PDGF and EGF signals to fibroblasts. We observe differences in the ligands and receptors involved in cell-cell communication between the esophagus and stomach. Our findings provide insights into the molecular mechanisms underlying GE-SCJ development and fibroblast-epithelial crosstalk involved, paving the way to elucidate mechanisms during adaptive metaplasia development and carcinogenesis.

2024-03-12 | GSE181411 | GEO

Decoding Spatiotemporal Transcriptional Dynamics and Epithelial Fibroblast Crosstalk during Gastroesophageal Junction Development through Single Cell Analysis (Tissue-scRNAseq)

2024-03-12 | GSE227412 | GEO

Comprehensive molecular classification for adenocarcinoma of gastroesophageal junction between esophageal and gastric adenocarcinomas

Project description:Comprehensive molecular classification for adenocarcinoma of gastroesophageal junction between esophageal and gastric adenocarcinomas

| PRJNA521512 | ENA

Comprehensive molecular classification for adenocarcinoma of gastroesophageal junction between esophageal and gastric adenocarcinomas

Project description:Background and aims: The aim of this study was to analyze the molecular characteristics of adenocarcinoma of the gastroesophageal junction (AGEJ) compared to esophageal (EAC) and gastric adenocarcinomas (GCFB) from The Cancer Genome Atlas (TCGA) and Seoul National University (SNU) cohorts using next-generation sequencing. Methods: Based on mRNA expression of EAC (n=78) and GCFB (n=102) from the TCGA cohort, a molecular classification model using the Bayesian compound covariate predictor classified AGEJ/cardia (n=48) from the TCGA cohort and AGEJ/upper third gastric adenocarcinoma (n=46) from the SNU cohort into the EAC-like or GCFB-like groups. The molecular characteristics between the EAC-like and GCFB-like groups were compared.

2022-02-06 | GSE126304 | GEO

TMT combined with LC–MS/MS technique to detect protein markers in gastroesophageal junction adenocarcinoma

Project description:Gastroesophageal junction adenocarcinoma (GEJA) is a malignant tumor located at the junction of the esophagus and stomach, and its incidence is increasing yearly, while early screening for biological markers is limited. Tandem mass tag (TMT) combined with liquid chromatography-tandem mass spectrometry (LC–MS/MS) has been used to screen for differential proteins in various cancers. In the present study, we used TMT-LC–MS/MS to screen differential proteins in GEJA and precancerous lesions and then selected proteins that met the expectation for a trend clustering analysis combined with GO and KEGG analyses to functionally annotate differential proteins in GEJA. Then, parallel reaction monitoring (PRM) and immunohistochemistry (IHC) techniques were used to verify the accuracy of the proteomics data. In conclusion, our group used proteomics technology to screen differential proteins in the progression of GEJA and explored the expression trends of differential proteins in the occurrence of the carcinogenesis process and the functional areas involved, which provided detailed information for the elucidation of the progression process, pathogenesis, early screening and screening of candidate markers of GEJA.

2021-12-08 | PXD030228 |

eefcc67f-9776-478c-8626-0129ebfe62d4 - samples

Project description:Multiregional whole-exome sequencing was done using 48 tumor samples (range: 4-10 tumor samples/patient) from 9 patients with adenocarcinomas of the stomach and gastroesophageal junction (GC)

| EGAD00001006251 | EGA

Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

Project description:Using multiregional sequencing, we tested the effect of somatic evolution on intratumoral heterogeneity and its putative clinical implications in adenocarcinomas of the stomach and gastroesophageal junction (GC). Multiregional whole-exome sequencing was done using 48 tumor samples (range: 4-10 tumor samples/patient) from nine individual patients.

| EGAS00001004525 | EGA

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