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

Copy number profiling of gastric cancer cell lines and gastric tumor tissues

ABSTRACT: Copy number profiling of 27 gastric cancer cell lines and 105 gastric tumor tissues. we hypothesized that a detailed fine-scale survey of genomic CNAs might reveal potential genes disrupted by fusion events in gastric cancer. We inferred the locations of likely chromosomal breakpoints by identifying regions where closely-spaced microarray probes exhibited striking transitions in copy number. 27 gastric cancer cell lines and 105 gastric tumor tissues were profiled by Agilent 244K microarray.

ORGANISM(S): Homo sapiens

SUBMITTER: Chia-Huey Ooi

PROVIDER: E-GEOD-22694 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Copy number profiling of gastric cancer cell lines and gastric tumor tissues

Project description:Copy number profiling of 27 gastric cancer cell lines and 105 gastric tumor tissues. we hypothesized that a detailed fine-scale survey of genomic CNAs might reveal potential genes disrupted by fusion events in gastric cancer. We inferred the locations of likely chromosomal breakpoints by identifying regions where closely-spaced microarray probes exhibited striking transitions in copy number.

2010-12-31 | GSE22694 | GEO

Copy number variation profiling of gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples

Project description:Copy number variation profiling of gastric tissues comparing gastric cancer tissues with matched adjacent noncancerous tissues. Goal was to determine the effects of chromosomal imbalances on gene expression and carcinogenesis or progression. 27 pairs of gastric tissues: gastric cancer tissues vs. matched adjacent noncancerous tissues.

2012-05-22 | E-GEOD-33428 | biostudies-arrayexpress

Array CGH analysis in gastric gastrointestinal stromal tumors (GISTs)

Project description:To explore mechanisms underlying wild-type GISTs, array CGH was performed on 32 gastric GISTs (4 risk groups stratified by tumor size and mitotic counts comprised 8 cases each). 27 KIT-mutant, 1 PDGFRA-mutant and 4 wild-type GISTs

2013-06-14 | E-GEOD-47912 | biostudies-arrayexpress

Genomic copy number aberrations of 11 gastric cancer cell lines

Project description:Genomic copy number aberrations of 11 gastric cancer cell lines were analyzed by 244k CGH array from Agilent Technologies. Based on this results, we separated the 11 cell lines into 2 groups, with and without copy number increase at chromosome 20q13 We performed array comparative genomic hybridization to detect genomic copy number aberrations in 11 gastric cancer cell lines. Microarray images were analyzed by using Feature Extraction and DNA analytics softwares.

2016-04-01 | E-GEOD-67604 | biostudies-arrayexpress

Helicobacter pylori infection dysregulates gastric proteome

Project description:The purpose of the study was to define gastric cell-specific proteomic changes, induced by H. pylori oncogenic strains, that are critical for initiation of the gastric carcinogenic cascade. Gastric cell scrapings were harvested from H. pylori-infected and uninfected animals for quantitative proteomic analyses using isobaric tags for relative and absolute quantitation (iTRAQ). Canonical and disease pathway mapping using Ingenuity Pathway Analysis (IPA) identified significantly altered inflammatory and cancer-signaling pathways that included Rab/Ras signaling proteins.

2018-11-23 | PXD009583 | Pride

Gene expression profiling of 27 gastric cancer cell lines

Project description:We identified molecular subtypes of 27 gastric cancer cell lines.

2020-04-22 | GSE146361 | GEO

Losses of chromosome 5q and 14q mark a subset of gastric cancers with good clinical outcome

Project description:Purpose: To improve clinical outcome of gastric cancer patients, most emphasis is on improving therapeutic regimens, including more extensive surgery as well as (neo)adjuvant chemotherapy. The present study set out to identify, based on DNA copy number profiling, subgroups of patients with different clinical outcomes who thus would qualify for different therapy intensities. Experimental Design: DNA of 206 gastric cancer patients was isolated and analyzed by genome wide array comparative genomic hybridization. DNA copy number profiles were evaluated and correlated to lymph node status and survival. In addition, HSP90 protein expression was analyzed and correlated to survival in 290 gastric cancer patients. Results: Frequent (>20%) DNA copy number gains were observed on chromosomes 1p, 6p, 7p, 7q, 8q, 11q, 12q, 13q, 16p, 16q, 17q, 19p, 19q, 20p, 20q, 21q and 22q, and losses on chromosomes 4p, 4q, 6p, 6q, 9p, 13q and 21q. Lymph node negative gastric cancers showed significantly more losses on chromosomes 5q11.2-q35.1, 10q11.23-21.3 and 14q32.11-q32.33. In addition, losses on 5q11.2-q31.3 and 14q32.11-q32.33 were highly correlated to good clinical outcome, in both lymph node negative and positive gastric cancer patients. Loss of expression of HSP90, located on chromosome 14q32.2, correlated to good survival time. Conclusion: Genome wide DNA copy number profiling allows to identify a subgroup of gastric cancers, marked by losses on chromosomes 5q11.2-q31.3 and 14q32.11-q32.33 that have an excellent clinical outcome after surgery alone, and patients with these tumors are unlikely to benefit from additional intensified therapies. Possible biological mechanisms could involve loss of heat shock proteins, of which the coding genes are located at these chromosomal regions. 183 gastric adenocarcinomas

2012-05-09 | E-GEOD-26389 | biostudies-arrayexpress

Agilent 400K aCGH data for 30 human gastric cancers

Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 400K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 30 gastric cancer patients. Whole genomic CNAs in 30 human gastric cancers were analyzed using the Agilent aCGH-400K arrays. Matched normal tissues were used as the reference.

2015-05-28 | E-GEOD-69266 | biostudies-arrayexpress

Gastric cancer tumor tissue samples and cell lines vs normal sample

Project description:We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridisation (aCGH).

2012-11-05 | GSE33501 | GEO

Expression data from gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples

Project description:To elucidate gene expression associated with copy number changes, we performed a genome-wide copy number and expression microarray analysis of 25 pairs of gastric tissues. 25 pairs of gastric tissues: gastric cancer tissues vs. matched adjacent noncancerous tissues.

2012-05-22 | E-GEOD-33335 | 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