Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The whole-genome methylation profile of esophageal squamous cell carcinoma

ABSTRACT: Both genetic and epigenetic aberrations are linked by intricate crosstalk, and can either individually or in synergy lead to the development of cancer. Accumulating evidence suggests that epigenetic changes such as alterations in DNA methylation play a crucial role in ESCC. We performed a Illumina Infinium HumanMethylation450 BeadChip to examine the global methylation signature of esophageal squamous cell carcinoma of Chinese patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE52826 | GEO | 2014/11/03

SECONDARY ACCESSION(S): PRJNA230249

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

the whole-genome methylation profile of esophageal squamous cell carcinoma

Project description:Both genetic and epigenetic aberrations are linked by intricate crosstalk, and can either individually or in synergy lead to the development of cancer. Accumulating evidence suggests that epigenetic changes such as alterations in DNA methylation play a crucial role in ESCC. We performed a Illumina Infinium HumanMethylation450 BeadChip to examine the global methylation signature of esophageal squamous cell carcinoma of Chinese patients. DNA methylation profiles of esophageal squamous cell carcinoma (4 samples), paired adjacent normal surrounding tissues (4 samples) and normal esophagus mucosa from healthy individuals (4 samples) were generated using Infinium methylation 450K BeadChips from Illumina (Illumina, San Diego, USA).

2014-11-03 | E-GEOD-52826 | biostudies-arrayexpress

Identification of a methylome signature of esophageal squamous cell carcinoma

Project description:Background & Aims: Esophageal squamous cell carcinoma (ESCC) is believed to arise from esophageal mucosa through accumulation of both genetic and epigenetic changes. DNA methylation is a critical epigenetic mechanism involved in key cellular processes and its deregulation has been linked to many human cancers, including ESCC. The aim of this study is to examine the global deregulation of methylation states in ESCC and identify potential early biomarkers. Conclusions: This is the first study to address methylation changes in ESCC in a large panel of genes. Methylome analysis is shown as a sensitive and powerful tool to identify molecular players in ESCC. These data should prove to be the reference for future studies identifying potential biomarkers and molecular targets of ESCC. We performed a bead array analysis of more than 800 cancer-related genes in a series of 10 ESCC samples, 10 matched surrounding tissues, and 4 esophageal mucosa from healthy individuals. Pyrosequencing was used for validation of DNA methylation changes in up to 106 patients and 27 controls.

2011-11-23 | E-GEOD-26784 | biostudies-arrayexpress

Genome-wide methylation analysis of esophageal squamous cell carcinoma using Infinium HumanMethylation 450 BeadChip

Project description:DNA methylation in esophageal squamous cell carcinoma (ESCC) A picture of epigenetic alterations in ESCCs was characterized.

2016-06-30 | E-GEOD-74693 | biostudies-arrayexpress

Identification of a methylome signature of esophageal squamous cell carcinoma

2011-11-23 | GSE26784 | GEO

Spatial intratumor heterogeneity of epigenetic alterations in esophageal squamous cell carcinoma

Project description:Esophageal squamous cell carcinoma (ESCC) is among the most common malignancies, but little is known about the spatial intratumor heterogeneity (ITH) and the temporal clonal evolutionary processes in this cancer. Interestingly, the epigenetic profiling also showed strong evidence of spatial ITH, and the phyloepigenetic trees were extremely similar with the phylogenetic ones, indicating the interplay and co-dependency of genetic and epigenetic alterations in ESCC. We found that several genes were both mutated and hypermethylated at their promoters, such as ASXL1 and EPHA7. Our integrated investigations of the spatial ITH and the temporal clonal evolution might provide insights into developing biomarkers for early diagnosis of ESCC, as well as personalized therapeutic targets for treating this malignancy. DNA methylation profiles of 12 tumor regions and 2 matched normal esophageal epithelial tissues from three M-WES-examined ESCC cases (ESCC01, ESCC03 and ESCC05) were performed using Illumina Infinium HumanMethylation450K platform (Illumina, San Diego, CA) at the Epigenome Center of University of Southern California.

2016-08-20 | E-GEOD-79366 | biostudies-arrayexpress

Gene expression profile in mouse esophageal squamous cell carcinoma

Project description:Human esophageal cancer is the sixth leading cause of cancer death worldwide. More than 90% of esophageal cancer is esophageal squamous cell carcinoma (ESCC). However, the etiological cause of ESCC remains unclear. By using gene expression microarray analysis, we aimed to find whether fungal infection is involved in ESCC development. We identified a wide spectrum of molecular signatures in a fungal infection and ESCC mouse model, including alterations involved in epigenetic regulation, cell cycle control, cell proliferation and survival signaling, and inflammation, which share many similarities with human ESCC.

2017-04-01 | GSE80005 | GEO

Esophageal Cancer Project

Project description:Esophageal cancer is one of the most aggressive cancers and the sixth leading cause of cancer death worldwide. Approximately 70% of the global esophageal cancers occur in China and over 90% histopathological forms of this disease are esophageal squamous cell carcinoma (ESCC). Currently, there are limited clinical approaches for early diagnosis and treatment for ESCC, resulting in a 10% 5-year survival rate for the patients. Meanwhile, the full repertoire of genomic events leading to the pathogenesis of ESCC remains unclear. Here we show a comprehensive genomic analysis in 158 ESCC cases, as part of the International Cancer Genome Consortium (ICGC) Research Projects (http://icgc.org/icgc/cgp/72/371/1001734). We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases and additional 70 ESCC cases were subjected to array comparative genomic hybridization (a-CGH) analysis. We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases and additional 70 ESCC cases were subjected to array comparative genomic hybridization (a-CGH) analysis.

2014-03-11 | E-GEOD-54995 | biostudies-arrayexpress

Genome-wide methylation analysis of esophageal squamous cell carcinoma using Infinium HumanMethylation 450 BeadChip

Project description:DNA methylation in esophageal squamous cell carcinoma (ESCC)

2016-06-30 | GSE74693 | GEO

Human esophageal dysplasia (16 cases) vs. esophageal squamous cell carcinoma (59 cases)

Project description:Our aim is to identify frequent genomic aberrations both in ESCC and esophageal dysplasia, and to discover important copy number-driving genes and microRNAs in ESCC. We carried out array-based comparative genomic hybridization (array CGH) on 59 ESCC resection samples and 16 dysplasia biopsy samples. Expression of genes at 11q13.3 was analyzed by real-time PCR and immunohistochemistry (IHC). Integrated analysis was performed to identify genes or microRNAs with copy number-expression correlations. Two group experiment, esophageal dysplasia vs. esophageal squamous cell carcinoma. Biological replicates: 16 dysplasias vs. 59 carcinomas

2013-04-29 | E-GEOD-46452 | biostudies-arrayexpress

a-CGH of Esophageal Cancer (70 cases)

2014-03-11 | E-GEOD-54993 | biostudies-arrayexpress

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