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SAL_24710 details
Primary information
SALIDSAL_24710
Biomarker namehsa-miR-29a-3p
Biomarker TypeDiagnostic
Sampling MethodOne hundred and seven saliva samples from 51 CRC patients, 19 adenomas and 37 healthy Individuals were collected from 2014 to 2021
Collection MethodTotal RNA containing miRNAs was extracted from 500 µL of saliva using miRNeasy extraction Micro Kit
Analysis MethodqRT-PCR
Collection SiteSaliva
Disease CategoryCancer
Disease/ConditionColorectal Cancer (CRC)
Disease Subtype>1.5
Fold Change/ ConcentrationNA
Up/DownregulatedUpregulated
ExosomalNA
OrganismHomo sapiens
PMID31757017
Year of Publication2019
Biomarker IDhsa-miR-29a-3p
Biomarker CategorymiRNA
SequenceUAGCACCAUCUGAAAUCGGUUA
Title of studyA Novel Saliva-Based miRNA Signature for Colorectal Cancer Diagnosis
Abstract of studySalivary microRNAs (miRNAs) are of high interest as diagnostic biomarkers for non-oral cancer. However, little is known about their value for colorectal cancer (CRC) detection. Our study aims to characterize salivary miRNAs in order to identify non-invasive markers for CRC diagnosis. The screening of 754 miRNAs was performed in saliva samples from 14 CRC and 10 healthy controls. The differential expressed miRNAs were validated by RT-qPCR in 51 CRC, 19 adenomas and 37 healthy controls. Receiver operating characteristic (ROC) curves and logistic regression models were performed to analyze the clinical value of these miRNAs. Twenty-two salivary miRNAs were significantly deregulated in CRC patients vs. healthy individuals (P < 0.05) in the discovery phase. From those, five upregulated miRNAs (miR-186-5p, miR-29a-3p, miR-29c-3p, miR-766-3p, and miR-491-5p) were confirmed to be significantly higher in the CRC vs. healthy group (P < 0.05). This five-miRNA signature showed diagnostic value (72% sensitivity, 66.67% specificity, AUC = 0.754) to detect CRC, which was even higher in combination with carcinoembryonic antigen (CEA) levels. Overall, after the first global characterization of salivary miRNAs in CRC, a five-miRNA panel was identified as a promising tool to diagnose this malignancy, representing a novel approach to detect cancer-associated epigenetic alterations using a non-invasive strategy.