11 research outputs found

    MicroRNA Markers for the Diagnosis of Pancreatic and Biliary-Tract Cancers

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    <div><p>It is difficult to detect pancreatic cancer or biliary-tract cancer at an early stage using current diagnostic technology. Utilizing microRNA (miRNA) markers that are stably present in peripheral blood, we aimed to identify pancreatic and biliary-tract cancers in patients. With “3D-Gene”, a highly sensitive microarray, we examined comprehensive miRNA expression profiles in 571 serum samples obtained from healthy patients, patients with pancreatic, biliary-tract, or other digestive cancers, and patients with non-malignant abnormalities in the pancreas or biliary tract. The samples were randomly divided into training and test cohorts, and candidate miRNA markers were independently evaluated. We found 81 miRNAs for pancreatic cancer and 66 miRNAs for biliary-tract cancer that showed statistically different expression compared with healthy controls. Among those markers, 55 miRNAs were common in both the pancreatic and biliary-tract cancer samples. The previously reported miR-125a-3p was one of the common markers; however, it was also expressed in other types of digestive-tract cancers, suggesting that it is not specific to cancer types. In order to discriminate the pancreato-biliary cancers from all other clinical conditions including the healthy controls, non-malignant abnormalities, and other types of cancers, we developed a diagnostic index using expression profiles of the 10 most significant miRNAs. A combination of eight miRNAs (miR-6075, miR-4294, miR-6880-5p, miR-6799-5p, miR-125a-3p, miR-4530, miR-6836-3p, and miR-4476) achieved a sensitivity, specificity, accuracy and AUC of 80.3%, 97.6%, 91.6% and 0.953, respectively. In contrast, CA19-9 and CEA gave sensitivities of 65.6% and 40.0%, specificities of 92.9% and 88.6%, and accuracies of 82.1% and 71.8%, respectively, in the same test cohort. This diagnostic index identified 18/21 operable pancreatic cancers and 38/48 operable biliary-tract cancers in the entire cohort. Our results suggest that the assessment of these miRNA markers is clinically valuable to identify patients with pancreato-biliary cancers who could benefit from surgical intervention.</p></div

    Plots of miR-6075 (A) and miR-125a-3p (B) expression signals on a log2 scale in patients with pancreato-biliary cancers, healthy control individuals, and patients with colon, stomach, esophageal, or liver cancer, or with non-malignant abnormalities in either the pancreas or the biliary tract.

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    <p>Plots of miR-6075 (A) and miR-125a-3p (B) expression signals on a log2 scale in patients with pancreato-biliary cancers, healthy control individuals, and patients with colon, stomach, esophageal, or liver cancer, or with non-malignant abnormalities in either the pancreas or the biliary tract.</p

    Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray-2

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    <p><b>Copyright information:</b></p><p>Taken from "Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray"</p><p>http://www.biomedcentral.com/1471-2164/8/95</p><p>BMC Genomics 2007;8():95-95.</p><p>Published online 5 Apr 2007</p><p>PMCID:PMC1865386.</p><p></p>Different types of microarray. Dye swap was carried out with the OL-1-1, OL-1-2 and OL-1-3 sheets

    Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray-4

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    <p><b>Copyright information:</b></p><p>Taken from "Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray"</p><p>http://www.biomedcentral.com/1471-2164/8/95</p><p>BMC Genomics 2007;8():95-95.</p><p>Published online 5 Apr 2007</p><p>PMCID:PMC1865386.</p><p></p>low the images

    Cluster analysis of the mRNA expression profiles after the citrinin treatment

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    <p><b>Copyright information:</b></p><p>Taken from "Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray"</p><p>http://www.biomedcentral.com/1471-2164/8/95</p><p>BMC Genomics 2007;8():95-95.</p><p>Published online 5 Apr 2007</p><p>PMCID:PMC1865386.</p><p></p> Hierarchical cluster analysis was performed using GeneSpring as described in the text
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