Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from peripheral blood in pancreatic ductal adenocarcinoma (PDAC) patients

ABSTRACT: The presence of some malignancies, such as cancer, impacts on peripheral blood mononuclear cells (PBMCs) gene expression profiling, suggesting the potential suitability of these genes as diagnostic and prognostic markers. The objective of this study was to identify new markers in peripheral blood that differentiate between PDAC patients and healthy controls as a means of facilitating fast detection of the disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE49641 | GEO | 2013/08/12

SECONDARY ACCESSION(S): PRJNA214906

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Expression data from peripheral blood in pancreatic ductal adenocarcinoma (PDAC) patients

Project description:The presence of some malignancies, such as cancer, impacts on peripheral blood mononuclear cells (PBMCs) gene expression profiling, suggesting the potential suitability of these genes as diagnostic and prognostic markers. The objective of this study was to identify new markers in peripheral blood that differentiate between PDAC patients and healthy controls as a means of facilitating early detection of the disease. 18 patients with unresectable PDAC were recruited. The diagnosis of PDAC was based on a positive biopsy of the pancreatic mass during the surgery. 18 gender, age, and habits matched healthy controls were also included. Whole genome cDNA microarray hybridization of PBMC samples was performed to identify potential PDAC markers.

2013-08-12 | E-GEOD-49641 | biostudies-arrayexpress

Transcriptome profile of peripheral blood from pancreatic ductal adenocarcinoma patients

Project description:Analysis of expression profile of peripheral blood from pancreatic ductal adenocarcinoma patients RNA expression profile of peripheral blood from pancreatic ductal adenocarcinoma patients Total RNA was isolated from peripheral blood. 36 patients with unresectable PDAC were recruited. The diagnosis of PDAC was based on clinical evaluation and imaging studies, which were histologically confirmed by surgery or imaging-guided biopsy. 14 gender, age, and habits matched healthy controls were also included. A total of 1000 ng of total RNA was processed using Illumina TotalPrep RNA Amplification Kit. Hybridization of human samples was performed on Illumina Human-HT12 Version 4.

2015-11-04 | E-GEOD-74629 | biostudies-arrayexpress

Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma (PDAC)

Project description:Determine methylation pattern in PDAC a genome-wide analysis was performed in a cohort of 167 PDAC and 29 adjacent pancreatic tissues samples using the Infinium 450k methylation arrays (Illumina). 167 pancreatic tumors (PDAC) x 29 adjacent -non tumor samples.

2014-07-08 | E-GEOD-49149 | biostudies-arrayexpress

Human Pancreatic Ductal Adenocarcinoma (PDAC), LC-MS/MS

Project description:The aim of the study was to characterize a common molecular mechanism for paclitaxel resistance in Patu-T and Suit-2.028 PDAC cell lines. Despite the ATP-binding cassette (ABC) trasnsporters were already shown to be involved in various chemo-resistant forms of cancers but not in PDAC, the most likely impact of ABCB1 overexpression in PDAC cell models was taken into account in this dataset.

2024-01-26 | PXD040930 | Pride

Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma (PDAC)

2014-07-08 | GSE49149 | GEO

Array CGH analysis for 29 pancreatic ductal adenocarcinoma (PDAC) samples

Project description:Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “non-random” genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC. (Harada et al. Pancreatology) Keywords: pancreatic ductal adenocarcinima, tissue microdissection, array CGH, genetic alterations A panel of 23 microdissected PDAC tissues and 6 PDAC-derived cell lines were analysed using Sanger's CGH arrays with 1 Mb resolution. Clinical info of the samples used is provided as a supplementary file.

2008-12-16 | E-GEOD-9672 | biostudies-arrayexpress

aCGH of Pancreatic Ductal Adenocarcinoma (PDAC) Cell Line and Xenografts

Project description:PDAC tumor DNA hybridized against pooled normal genomic DNA DNA was extracted from tumor samples and hybridized against normal DNA in order to query copy number aberrations.

2011-01-11 | E-GEOD-19852 | biostudies-arrayexpress

aCGH of Pancreatic Ductal Adenocarcinoma (PDAC) Cell Line and Xenografts

Project description:PDAC tumor DNA hybridized against pooled normal genomic DNA

2011-01-11 | GSE19852 | GEO

Combinatorial analysis of miRNA and mRNA expression in pancreatic ductal adenocarcinoma (PDAC)_mRNA

Project description:miRNAs are known to be involved in PDAC tumorigenesis, but only a few biologically relevant gene targets have been identified. Here we show that three miRNAs (miR-21, miR-23a and miR-27a) act in concert for the cooperative suppression of several tumor suppressor genes of which we experimentally validated PDCD4, BTG2 and NEDD4L. The synergistic inhibition of this triple miRNA combination is capable of reducing PDAC growth in a mouse model greater than inhibition of oncomiR-21 alone. Patients samples of normal pancreas (n=6) or pancreatic ductal adenocarcinoma (PDAC; n=6) were retrieved during surgery and placed in RNA Later stabilization fluid and then kept at minus 80 until required.

2013-12-30 | E-GEOD-41368 | biostudies-arrayexpress

Combinatorial analysis of miRNA and mRNA expression in pancreatic ductal adenocarcinoma (PDAC)_miRNA

Project description:miRNAs are known to be involved in PDAC tumorigenesis, but only a few biologically relevant gene targets have been identified. Here we show that three miRNAs (miR-21, miR-23a and miR-27a) act in concert for the cooperative suppression of several tumor suppressor genes of which we experimentally validated PDCD4, BTG2 and NEDD4L. The synergistic inhibition of this triple miRNA combination is capable of reducing PDAC growth in a mouse model greater than inhibition of oncomiR-21 alone. Patients samples of normal pancreas (n=9) or pancreatic ductal adenocarcinoma (PDAC; n=9) were retrieved during surgery and placed in RNA Later stabilization fluid and then kept at minus 80 until required.

2013-12-30 | E-GEOD-41369 | 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