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SAL_24686 details
Primary information
SALIDSAL_24686
Biomarker namehsa-miR-575
Biomarker TypeDiagnostic
Sampling MethodSaliva samples from 22 newly diagnosed NPC patients and 25 healthy donors (discovery cohort) used for candidate miRNA biomarker screening and an additional collection of saliva samples from 8 NPC patients and 8 healthy donors (validation cohort)
Collection Method5 ml of unstimulated whole saliva was obtained from patients and health controls under standard conditions.
Analysis MethodqRT-PCR
Collection SiteSaliva
Disease CategoryCancer
Disease/ConditionHead and Neck Cancer
Disease SubtypeNasopharyngeal carcinoma (NPC)
Fold Change/ Concentration0.49
Up/DownregulatedDownregulated
ExosomalNA
OrganismHomo sapiens
PMID31455274
Year of Publication2019
Biomarker IDhsa-miR-575
Biomarker CategorymiRNA
SequenceAAUUCAGCCCUGCCACUGGCUUAUGUCAUGACCUUGGGCUACUCAGGCUGUCUGCACAAUGAGCCAGUUGGACAGGAGCAGUGCCACUCAACUC
Title of studyGenome-wide study of salivary microRNAs as potential noninvasive biomarkers for detection of nasopharyngeal carcinoma
Abstract of studyBACKGROUND: Recent studies reported that blood-based microRNAs (miRNAs) could detect cancers and predict prognosis have opened a new field of utilizing circulating miRNAs as cancer biomarkers. In this pilot study, we conducted for the first time, to our knowledge, the evaluation of the applicability of salivary miRNAs as novel biomarkers for nasopharyngeal carcinoma (NPC) detection.METHODS: Microarray miRNA expression profiling was performed on saliva samples from 22 newly diagnosed NPC patients and 25 healthy controls, and 12 significantly down-regulated miRNAs were selected for quantitative real-time-PCR (qRT-PCR) validation and further analysis. Their target genes enriched by gene ontology and pathway analysis were used to construct regulatory and interaction networks. The receiver operating characteristic analyses (ROC) and logistic regression were calculated to assess discriminatory accuracy.RESULTS: Twelve dysregulated miRNAs screened by microarray that showed the same expression patterns with qRT-PCR analysis. Through bioinformatics analysis, the most prominent hub gene probably regulated by the 12 down-regulated miRNAs is found to be TP53. The ROC including the 12 miRNAs separated NPC patients from healthy controls with very high accuracy (areas under the receiver operating characteristic curve [AUC] = 0.999, sensitivity = 100.00%, specificity = 96.00%). Furthermore, if only six significantly dysregulated miRNAs were selected for the ROC analysis, the accuracy is still impressive (AUC = 0.941, sensitivity = 95.45%, specificity = 80.00%).CONCLUSIONS: This study highlights the potential for salivary miRNAs as biomarkers for the detection of NPC. Meanwhile, differentially expressed miRNAs in saliva might play critical roles in NPC by regulating their target genes, which associated with some significant pathways, such as p53 signaling pathway.