Project description:MicroRNAs from serum samples could detect pancreatic and biliary tract cancer patients more accurately than other traditional markers. Prospective miRNA markers for pancreatic/biliary tract cancer were selected in the training cohort. Using these miRNAs, discriminant analysis was performed, and the diagnostic accuracy, sensitivity and specificity were calculated in the test cohort.
Project description:We profiled expression of serum miRNAs derived from pancreatic and biliary tract cancer patients and detected biomarker candidates using high-throughput sequencing
Project description:Tumour and adjacent components from human resected biliary tract cancers were characterised for the expression of immunorelated transcripts
Project description: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.
Project description:MicroRNAs from serum samples could detect pancreatic and biliary tract cancer patients more accurately than other traditional markers. Prospective miRNA markers for pancreatic/biliary tract cancer were selected in the training cohort. Using these miRNAs, discriminant analysis was performed, and the diagnostic accuracy, sensitivity and specificity were calculated in the test cohort.
Project description:Organoid culture is important for maintenance of epithelial cell characteristics, stemness, and tumorigenic activity of biliary tract cancer initiating cells. To investigate whether organoid culture maintain cancer stem cell properties of biliary tract cancer initiating cells, we compared the gene expression changes between organoid culture and adherent culture.
Project description:In the present study, we established organoids using cancer and non-cancer tissues obtained from patients with biliary tract carcinomas and investigated compehensive gene expression profiles.
Project description:In the present study, we established organoids using cancer and non-cancer tissues obtained from patients with biliary tract carcinomas and investigated compehensive microRNA expression profiles.