Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

38 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide copy number aberrations and methylation profiles in human colorectal lesions

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE35476: Array CGH analysis of human colorectal tumors GSE35508: Methylated CpG island amplification (MCA) microarray analysis of human colorectal tumors Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Eiichiro Yamamoto

PROVIDER: E-GEOD-35534 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Array CGH analysis of human colorectal tumors

Project description:The concept of the CpG island methylator phenotype (CIMP) in colorectal cancers (CRCs) is widely accepted, though the timing of its occurrence and its interaction with other genetic defects early during carcinogenesis remains largely unknown. Our aim was to uncover the molecular evolution of CIMP CRCs through integrative analysis of endoscopic, histological and molecular signatures in precancerous and malignant colorectal lesions. A total of 84 endoscopically obtained human colorectal tumor was analyzed using Agilent CGH microarray. Copy number aberration was compared with clinicopathological features and DNA methylation status.

2012-08-31 | E-GEOD-35476 | biostudies-arrayexpress

Methylated CpG island amplification (MCA) microarray analysis of human colorectal tumors

Project description:The concept of the CpG island methylator phenotype (CIMP) in colorectal cancer (CRC) is widely accepted, though the timing of its occurrence and its interaction with other genetic defects are not fully understood. Our aim in this study was to unravel the molecular development of CIMP cancers by dissecting their genetic and epigenetic signatures in precancerous and malignant colorectal lesions. A total of 88 samples (16 normal colon tissues taken from adjacent tumor tissue, 70 colorectal tumor tissues and 2 cell lines) was analyzed using MCA microarray. Aberrant DNA methylation was compared with clinicopathological features and copy number.

2012-08-31 | E-GEOD-35508 | biostudies-arrayexpress

Methylated CpG island amplification (MCA) microarray analysis of human gastric mucosa and cancer

Project description:Aberrant DNA methylation is implicated in the epigenetic field defect seen in gastric cancer (GC). Our aim in this study was to identify predictive biomarkers by screening for DNA methylation in noncancerous background gastric mucosa from GC patients. A total of 46 endoscopically obtained human gastric mucosa, 10 gastric cancer and 5 cell lines were analyzed using MCA microarray. Aberrant DNA methylation was compared with clinicopathological features. Healthy individuals were divided into two groups based on the types of chronic gastritis; A: antrum-predominant gastritis P or C: pangastritis or corpus-predominant gastritis

2012-09-01 | E-GEOD-39175 | biostudies-arrayexpress

Array CGH analysis of human gastrointestinal stromal tumors

Project description:Gastrointestinal stromal tumors (GISTs) are the most important mesenchymal tumors of the gastrointestinal tract. The vast majority of GISTs exhibit activating mutations of KIT or PDGFRA, but epigenetic alteration of GISTs is largely unknown. In this study, we aimed to clarify the involvement of DNA methylation in GIST malignancy. A total of 25 GIST specimens were studied using Human Genome CGH Microarray Kit 105A (G4412A, Agilent). Levels of LINE-1 methylation were analyzed using bisulfite-pyrosequencing. LINE-1 hypomethylation was correlated with risk grade, and high-risk GISTs exhibited lower levels of LINE-1 methylation than low- or intermediate-risk GISTs. Array CGH analysis revealed a significant correlation between LINE-1 hypomethylation and chromosomal aberrations. Our data suggest that LINE-1 hypomethylation correlates with the aggressiveness of GISTs. Hypomethylation may increase the malignant potential of GISTs by inducing accumulation of chromosomal aberrations. A total of 25 surgically obtained human gastrointestinal stromal tumors (GISTs) was analyzed using Agilent CGH microarray. Copy number aberration was compared with clinicopathological features and DNA methylation status.

2010-06-20 | E-GEOD-22185 | biostudies-arrayexpress

Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-11-21 | E-GEOD-64258 | biostudies-arrayexpress

Whole genome scanning of lung tumors and mucosal biopsies on Affymetrix NspI-250K platform

Project description:Matched normal lymph node, tumors and corresponding mucosal biopsies from 4 lung cancer patients were scrutinized on Affymetrix 250K-NspI array platform. Frequently deleted regions genes were identified based on the LOH call as per manufacturer's guidelines and normalization. Frequently deleted genes in the tumors and mucosa were identified though this approach Affymetrix 250K-NspI- SNP arrays were performed according to the manufacturer's directions on DNA extracted from lung cancer and corresponding mucosal biopsy specimens. LOH analysis was done to identify genes that are frequently deleted.

2013-01-11 | E-GEOD-29365 | biostudies-arrayexpress

Validation of differentially methylated DNA regions in colorectal precancerous lesions.

Project description:In this study, we validated 992 previously identified differentially methylated regions (DMRs) in colorectal precancerous lesions compared to adjacent normal mucosa in a new series of 59 prospectively collected lesions and matched normal tissue using targeted bisulfite sequencing. Strong differences in methylation level were observed across the full set of validated DMRs. Based on the mean methylation levels of a panel of 30 selected DMRs tumors could be accurately classified. We thus provide a large list of validated DNA markers to be exploited in the development of noninvasive, colorectal tumor screening assays.

2023-03-30 | E-MTAB-12612 | biostudies-arrayexpress

Gene Expression of Malignant Pleural Mesothelioma Tumor and paired Normal Lung tissue

Project description:In order to discover critical pathways /networks or therapeutic targets in pleural mesothelioma we profiled 55 tumors along with paired normal tissue (for 41 tumors) using Affymetrix U133 plus 2.0 chips RNA isolated from frozen resected tumor and normal tissues was hybridized to Affymetrix U133 plus 2.0 chips to discover genes upregulated/downregulated in mesothelioma tumors compared to paired normal non-tumor adjacent tissue as well as find differences between the different tumors

2014-08-31 | E-GEOD-51024 | biostudies-arrayexpress

Expression data from esophageal squamous cell carcinomas and normal esophageal epithelia

Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patientsM-bM-^@M-^Y survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify mRNA markers for ESCC CRT-response prediction through gene expression analyses. Gene expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery and 10 normal esophageal epithelia using Affymetrix U133 Plus 2.0 arrays.

2014-08-01 | E-GEOD-45670 | biostudies-arrayexpress

Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery

Project description:This SuperSeries is composed of the following subset Series: GSE27854: Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery (gene expression analysis) GSE27910: Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery (copy number analysis) Refer to individual Series

2012-10-16 | E-GEOD-27913 | biostudies-arrayexpress

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