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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Katia Nones

PROVIDER: E-GEOD-49149 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma reveal epigenetic deregulation of SLIT-ROBO, ITGA2 and MET signaling.

Nones Katia K Waddell Nic N Song Sarah S Patch Ann-Marie AM Miller David D Johns Amber A Wu Jianmin J Kassahn Karin S KS Wood David D Bailey Peter P Fink Lynn L Manning Suzanne S Christ Angelika N AN Nourse Craig C Kazakoff Stephen S Taylor Darrin D Leonard Conrad C Chang David K DK Jones Marc D MD Thomas Michelle M Watson Clare C Pinese Mark M Cowley Mark M Rooman Ilse I Pajic Marina M Butturini Giovanni G Malpaga Anna A Corbo Vincenzo V Crippa Stefano S Falconi Massimo M Zamboni Giuseppe G Castelli Paola P Lawlor Rita T RT Gill Anthony J AJ Scarpa Aldo A Pearson John V JV Biankin Andrew V AV Grimmond Sean M SM

International journal of cancer 20140509 5

The importance of epigenetic modifications such as DNA methylation in tumorigenesis is increasingly being appreciated. To define the genome-wide pattern of DNA methylation in pancreatic ductal adenocarcinomas (PDAC), we captured the methylation profiles of 167 untreated resected PDACs and compared them to a panel of 29 adjacent nontransformed pancreata using high-density arrays. A total of 11,634 CpG sites associated with 3,522 genes were significantly differentially methylated (DM) in PDAC and ...[more]

PMID: 24500968

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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).

2014-07-08 | GSE49149 | GEO

Prediction of clinical reactivity in food sensitized individuals from blood DNA methylation profiles

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2015-01-01 | E-GEOD-59999 | biostudies-arrayexpress

Whole DNA methylome of an extramedullary multiple myeloma patient derived orthotopic xenograft

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Methylation profiling by array of pancreatic adenocarcinoma (PDAC) xenografts

Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. the variable MultiOmicsClassification indicates the resulting sample's group. Whole-genome DNA methylation was analyzed using the Illumina Infinium HumanMethylation450 Beadchips. Integragen SA (Evry, France) carried out microarray experiments and hybridized to the BeadChip arrays following the manufacturer’s instructions. Illumina GenomeStudio software was used to extract the beta value DNA methylation score for each locus. We removed data from probes that contained SNPs or overlapped with a repetitive element that was not uniquely aligned to the human genome or regions of insertions and deletions in the human genome. The CpG Island Methylator Phenotype (CIMP) index was determined using methylation Illumina Infinium HumanMethylation450 BeadChips based on previous low throughput work (Toyota, 1999). In brief, all island CpG found to be unmethylated (<20% Beta-value) in all 25 normal pancreatic samples from the ICGC consortium (Nones, 2014) were selected. The CIMP index was calculated independently for each sample as the proportion of methylated (>30% Beta-value) CpGs among the selected normally unmethylated island CpG.

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2020-12-12 | E-MTAB-9868 | biostudies-arrayexpress

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Project description:Background: Epigenetic marks, like asthma, are heritable. They are influenced by the environment, direct the maturation of T cellslymphocytes, and have been shown to enhance the development of allergic airways disease in mice. Thus, we hypothesized that epigenetic marks are associated with allergic asthma in inner-city children. Methods: We compared methylation patterns and gene expression in inner-city children with persistent atopic asthma versus healthy controls, using DNA and RNA from peripheral blood mononuclear cells (PBMCs) from inner city children aged 6-12 years with persistent atopic asthma children and healthy controls. Results were externally validated with the GABRIELA study population. Results: Comparing asthmatics (N=97) to controls (N=97), we identified 81 regions that were differentially methylated. Several immune genes were hypomethylated in asthmatics, including IL-13, RUNX3, and a number of specific genes relevant to natural killer cells (KIR2DL4, KIR2DL3, KIR3DL1, and KLRD1) and T cells lymphocytes (TIGIT). 14 differentially methylated regions (DMRs) were associated with the serum IgE concentration of IgE, including RUNX3. These results were internally and externally validated with a global methylation assessment using a different methodology in our inner-city cohort and an independent European cohort (GABRIELA). Hypo- and hypermethylated genes tended to be associated with increased and decreased gene expression, respectively (P<0.6x10-11 for asthma and ; P<0.01 for IgE). To further explore the relationship between methylation and gene expression, we created a matrix of genomic changes in methylation versus transcriptional changes (methyl eQTL) for asthma, and identified cis- and trans-regulated genes whose expression was related to asthma asthma-associated methylation marks. peripheral blood mononuclear cells (PBMCs) from 97 atopic asthmatic and 97 nonatopic nonasthmatic children

2015-02-02 | E-GEOD-40576 | biostudies-arrayexpress

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

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