Pancreatic cancer vs. paired normal control
Ontology highlight
ABSTRACT:
ORGANISM(S): Rattus norvegicus Mus musculus Human gammaherpesvirus 8 Human alphaherpesvirus 1 JC polyomavirus Betapolyomavirus macacae Murid gammaherpesvirus 4 Homo sapiens Human immunodeficiency virus 1 Human betaherpesvirus 5 Betapolyomavirus hominis human gammaherpesvirus 4 Murid betaherpesvirus 1
PROVIDER: GSE28862 | GEO | 2011/04/27
SECONDARY ACCESSION(S): PRJNA140697
REPOSITORIES: GEO
Similar Datasets
Project description:The miRNA expression between normal and cancerous pancreatic tissues and identified preferentially expressed miRNAs. Two-condition experiment, pancreatic cancer vs. paired normal control. Biological replicates: 3 paired patients tissues.
2011-04-26 | E-GEOD-28862 | biostudies-arrayexpress
Project description:MiRNAs differentially expressed in normal pancreatic cell line (Human Pancreatic Ductal Epithelial cell line) vs MIA PaCa-2 (Pancreatic cancer cell line) were first identified by profiling >1900 miRNAs using an array approach. Subsequently, miRNAs differentially expressed in DZNep treated cells (as compared to untreated) were also identified. We also checked for miRNA changes with gemcitabine treatment as well as combination treatment.
2016-09-03 | GSE86383 | GEO
Project description:Genetic studies have identified ≥240 loci associated with type 2 diabetes (T2D), yet most of these loci lie in non-coding regions, masking the underlying molecular mechanisms. Recent studies investigating gene expression in pancreatic islets have provided key insights into the molecular drivers of T2D pathophysiology through comprehensive genetic and genomic analyses. However, similar studies investigating microRNA (miRNA) expression remain limited. Here, we present the largest genetic and genomic analysis of miRNA expression in human islets to date, spanning 63 participants. We characterize the genetic regulation of miRNA expression by decomposing the expression of highly heritable miRNAs into cis- and trans- genetic components and mapping cis loci associated with miRNA expression (miRNA-eQTLs). We find (a) 81 heritable miRNAs, which we show are primarily regulated by trans-acting genetic effects, and (b) 5 miRNA-eQTLs. To evaluate the impact of miRNA expression on T2D, we use several different strategies to nominate T2D-associated miRNAs. First, we colocalize miRNA-eQTLs with genetic studies of T2D and several T2D-related traits and identify one miRNA, miR-1908, that shares genetic signals for blood glucose and HbA1c. Next, we intersect miRNA seed regions with credible set SNPs from T2D and T2D-related genetic studies and find 46 miRNAs that may have altered binding and function due to disrupted seed regions. Finally, we perform differential expression analysis and identify 38 miRNAs associated with either T2D status, body mass index, sex, or a polygenic score for HbA1c levels. To validate identified miRNAs, we perform chromatin run-on sequencing and confirm differential transcription of T2D-associated miRNAs.
2023-01-29 | GSE196797 | GEO
Project description:Identifying biomarkers predictive for early esophageal cancer detection is critical considering the dismal survival rates. We investigated the involvement of microRNAs (miRNAs), their utility as biomarkers, and their association with survival in esophageal cancer, including Barrett’s associated and sporadic adenocarcinoma (ADC), and squamous cell carcinoma (SCC). MiRNA expression was measured in cancerous and adjacent non-cancerous tissue pairs collected from 76 US and Japanese patients enrolled in 3 distinct cohorts. In ADC patients, miR-21, miR-194, miR-293, and miR-223 expression was elevated, while miR-375 and miR-203 expression was reduced in cancerous tissue compared to non-cancerous tissue. Increased levels of miR-192 and miR-194 were observed in Barrett’s associated compared to sporadic ADC cancerous tissue. In SCC patients, miR-21, miR-181b, miR-155, and miR-146b expression was elevated while miR-375 and miR-203 levels were reduced in cancerous tissue compared to non-cancerous tissue. Significantly, elevated mir-21 expression in non-cancerous tissue was strongly associated with worse prognosis, independent of nodal status and age. Sample classification using miRNA expression yielded accuracies as high as 86% for diagnosis and 78% for Barrett’s esophagus status. Our results highlight that miRNAs are deregulated in esophageal carcinogenesis and Barrett’s esophagus, and that their expression is associated with survival in cancer patients. Sample classification using miRNA expression demonstrates their potential utility as biomarkers for esophageal carcinoma diagnosis. MiRNA microarray expression was measured using miRNA microarray chips version 3 (Ohio State University) in 44 SCC cases and 32 ADC cases, of which 18 were also diagnosed with Barrett’s esophagus.
2010-07-09 | E-GEOD-13937 | biostudies-arrayexpress
Project description:Identifying biomarkers predictive for early esophageal cancer detection is critical considering the dismal survival rates. We investigated the involvement of microRNAs (miRNAs), their utility as biomarkers, and their association with survival in esophageal cancer, including Barrett’s associated and sporadic adenocarcinoma (ADC), and squamous cell carcinoma (SCC). MiRNA expression was measured in cancerous and adjacent non-cancerous tissue pairs collected from 76 US and Japanese patients enrolled in 3 distinct cohorts. In ADC patients, miR-21, miR-194, miR-293, and miR-223 expression was elevated, while miR-375 and miR-203 expression was reduced in cancerous tissue compared to non-cancerous tissue. Increased levels of miR-192 and miR-194 were observed in Barrett’s associated compared to sporadic ADC cancerous tissue. In SCC patients, miR-21, miR-181b, miR-155, and miR-146b expression was elevated while miR-375 and miR-203 levels were reduced in cancerous tissue compared to non-cancerous tissue. Significantly, elevated mir-21 expression in non-cancerous tissue was strongly associated with worse prognosis, independent of nodal status and age. Sample classification using miRNA expression yielded accuracies as high as 86% for diagnosis and 78% for Barrett’s esophagus status. Our results highlight that miRNAs are deregulated in esophageal carcinogenesis and Barrett’s esophagus, and that their expression is associated with survival in cancer patients. Sample classification using miRNA expression demonstrates their potential utility as biomarkers for esophageal carcinoma diagnosis.
2010-07-09 | GSE13937 | GEO
Project description:Genome-wide DNA methylation screening was performed using the Infinium HumanMethylation450 BeadChip in 34 samples of non-cancerous pancreatic tissue and 82 samples of cancerous tissue samples obtained from 82 patients with pancreatic ductal adenocarcinoma.
2021-04-14 | GSE155353 | GEO
Project description:MicroRNAs is a rapidly expanding area expected to change the way in which diseases will be diagnosed, treated and monitored in the future. Hepatocellular carcinoma (HCC) shows a rising incidence with high mortality but lack of effective targeted therapies. We identified the aberrantly expressed miRNAs involved in HCC through the comparison of miRNA expression profiling in cancerous hepatocytes with that in normal primary human hepatocytes and found 37 dysregulated miRNAs in HCC. These aberrantly expressed miRNAs may provide insights into pathogenesis of HCC and thus may be used for diagnosis and therapy. Over the past few years, though several studies have uncovered aberrant miRNA expression profiles in HCC compared with matched nonmalignant tissues, the overlap of deregulated miRNAs from different platforms is limited. To solve this problem, we recommend a method that using primary cancer cells or cancer cell lines and nonmalignant primary cells to identify the specific aberrantly miRNA expression profiles in HCC and even in other types of cancer. Here, we identified the aberrantly expressed miRNAs involved in hepatoma through the comparison of miRNA expression profiling in cancerous hepatocytes with that in normal primary human hepatocytes and 37 dysregulated miRNAs were screened out by 2-fold change with a significant difference (P<0.05). Clustering analysis based on 13 miRNAs whose fold changes were over 15-fold change exhibited significantly differential expression pattern between the cancerous and normal hepatocytes.
2010-12-30 | E-GEOD-20077 | biostudies-arrayexpress
Project description:miR-145 is a tumor suppressor miRNA in various malignancies including pancreatic cancer. How miR-145 regulates expression of other miRNAs could provide a panoramic view of the development of pancreatic cancer. Therefore, in this project, we aimed to characterize how other miRNAs are affected by miR-145 in hope for understanding proteomic changes that are not explained by miR-145 alone. miRNA microarray was used to compare expression of all miRNAs 48 hr after transfection of miR-145 mimics or control scramble RNA in a pancreatic cancer cell line, Mia-PaCa2.
2013-03-19 | E-GEOD-45246 | biostudies-arrayexpress
Project description:MicroRNA (miRNA) expression profiles have been described in pancreatic ductal adenocarcinoma (PDAC), but these have not been compared with premalignant lesions. We wished to identify miRNA expression profiles in pancreatic cystic tumors with low malignant potential (serous microcystic adenomas) and high malignant potential (mucinous cystadenoma and intraductal papillary mucinous neoplasm (IPMN)) and compare these to PDAC and carcinoma-ex-IPMN (CEI). n= 20 samples Benign Pancreatic Cystic Tumour (n=7 Microcystic, n= 6 Mucinous, n= 7 IPMN) were compared with n= 9 samples of carcinoma ex IPMN and n= 14 samples of pancreatic cancer (adenocarcinoma) for known homo sapiens miRNAs (mirbase 13).
2011-05-18 | E-GEOD-29352 | biostudies-arrayexpress
Project description:This project analyzes pancreatic tissue profiles of pancreatic cancer patients, pancreatitis patients, and controls. Since miRNAs are known to be valuable diagnostic markers, we asked whether respective patterns of pancreatic cancer patients can be detected in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively. Three markers have been validated by using qPCR. n = 22 normal controls, n = 27 pancreatitis samples, and n = 136 pancreatic cancer samples have been screened for the complete miRNA repertoire. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.
2012-01-01 | E-GEOD-24279 | biostudies-arrayexpress