Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA146991 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Overall aiEMT in surgical samples of esophageal cancer patients
| PRJNA149505 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE32700: Overall aiEMT in non-cancerous samples of esophageal cancer patients GSE32701: Individual aiEMT in surgical samples of esophageal cancer patients Refer to individual Series
2011-10-06 | E-GEOD-22954 | biostudies-arrayexpress
Project description:Paired non-cancerous and cancerous miRNA expression of esophageal adenocarcinoma and squamous cell carcinoma patients
| PRJNA110273 | ENA
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: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:Expression data of tumor and non-tumor samples from patients with esophageal cancer
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Project description:Peripheral profiles from patients with cancerous and non cancerous lung diseases
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Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO
Project description:Individual aiEMT in surgical samples of esophageal cancer patients
| PRJNA146993 | ENA
Project description:Esophageal squamous cell carcinoma (SCC) is frequently diagnosed at advanced stage and associated with poor prognosis. This study aimed to identify differentially expressed genes for further evaluated as biomarkers for predicting survival of the patients. Five paired of cancerous and normal tissues from esophageal SCC patients were subjected to cDNA microarray analysis and one of these differentially expressed genes, NEK6, was further verified in esophageal SCC tissues. The data showed 444 up-regulated genes and 918 down-regulated genes in tumor tissues (2 folds as a cut-off value). qRT-PCR data showed that 20 of 30 (66.7%) increased levels of NEK6 mRNA in cancerous tissues compared to that of distant normal tissues, while immunohistochemical data showed that 49/94 (52.13%) of the archived esophageal SCC tissues expressed higher levels of NEK6 than that of normal tissues. NEK6 expression was associated with depth of tumor invasion (P=0.005), lymph node metastasis (P=0.018), and advanced clinical tumor stages (P=0.004) of these 94 patients. Kaplan Meier curve showed that the overall survival of NEK6-positive patients was much lower than those of NEK6-negative patients (P<0.001). The median survival of NEK6-positive patients was 23 months, whereas the median survival of NEK6-negative patients was 64 months. The cumulative 5-year survival rate of NEK6-positive patients was 14.3% (7/49), whereas the rate of NEK6-negative patients was 64.4% (29/45). Multivariate analysis showed that N classification (P=0.002) and NEK6 expression (P<0.001) were independent predictors for esophageal SCC patients. These data demonstrated that NEK6 expression may serve as an independent prognostic indicator for patients with esophageal SCC. Gene expression in five paired of cancerous and normal tissues from esophageal SCC patients were measured using Human Genome 4x44K v2 Microarray.
2013-09-30 | E-GEOD-45168 | biostudies-arrayexpress