Detailed description page of SalivaDB

This page displays user query in tabular form.

SAL_24375 details
Primary information
SALIDSAL_24375
Biomarker namehsa-miR-3679-5p
Biomarker TypeDiagnostic
Sampling MethodUsing an Agilent microarray, salivary miRNAs were profiled from saliva samples of 8 patients with resectable pancreatic cancer and 8 healthy controls.
Collection MethodUp to 3 mL of saliva from each subject was collected in a 50 mL centrifuge tube.
Analysis MethodqRT-PCR
Collection SiteSaliva
Disease CategoryCancer
Disease/ConditionPancreatic Cancer
Disease SubtypePancreatic Cancer
Fold Change/ Concentration0.177
Up/DownregulatedDownregulated
ExosomalNA
OrganismHomo sapiens
PMID25538087
Year of Publication2014
Biomarker IDhsa-miR-3679-5p
Biomarker CategorymiRNA
SequenceUGAGGAUAUGGCAGGGAAGGGGA
Title of studySalivary microRNAs show potential as a noninvasive biomarker for detecting resectable pancreatic cancer
Abstract of studyEarly surgery is vital in the treatment of pancreatic cancer, which is often fatal. However, there is currently no useful noninvasive biomarker to screen for pancreatic cancer. Studies have documented that many salivary molecules can be used to detect systemic diseases. We investigated whether salivary miRNAs are useful biomarkers for detecting resectable pancreatic cancer. Using an Agilent microarray, salivary miRNAs were profiled from saliva samples of 8 patients with resectable pancreatic cancer and 8 healthy controls. Candidate biomarkers identified in the profiles were subjected to validation using quantitative PCR and an independent sample set of 40 patients with pancreatic cancer, 20 with benign pancreatic tumors (BPT), and 40 healthy controls. The validated salivary miRNA biomarkers were evaluated within three discriminatory categories: pancreatic cancer versus healthy control, pancreatic cancer versus BPT, and pancreatic cancer versus noncancer (healthy control + BPT). miR-3679-5p showed significant downregulation in the pancreatic cancer group within the three categories (P = 0.008, 0.007, and 0.002, respectively), whereas miR-940 showed significant upregulation in pancreatic cancer (P = 0.006, 0.004, and 0.0001, respectively). Logistic regression models combining the two salivary miRNAs were able to distinguish resectable pancreatic cancer within the three categories, showing sensitivities of 72.5%, 62.5%, and 70.0% and specificities of 70.0%, 80.0%, and 70.0%, respectively. Salivary miR-3679-5p and miR-940 possess good discriminatory power to detect resectable pancreatic cancer, with reasonable specificity and sensitivity. This report provides a new method for the early detection of pancreatic cancer and other systemic diseases by assessing salivary miRNAs.