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SAL_24548 details
Primary information
SALIDSAL_24548
Biomarker namemghsa-miR124-3
Biomarker TypeDiagnostic
Sampling MethodSaliva samples were collected in 86 previously untreated HNSCC patients and 108 control patients including subjects enrolled in a community screening study and non-HNSCC patients undergoing surgeries for sleep apnea or tonsillectomy
Collection MethodPatients/volunteers were instructed to spit their saliva into the collection tube for 5 min without swallowing.
Analysis MethodqMS-PCR
Collection SiteSaliva
Disease CategoryCancer
Disease/ConditionOral squamous cell carcinoma (OSCC)
Disease SubtypeOral Cancer
Fold Change/ ConcentrationNA
Up/DownregulatedUpregulated
ExosomalNA
OrganismHomo sapiens
PMID29636832
Year of Publication2018
Biomarker IDmghsa-miR124-3
Biomarker CategorymiRNA
SequenceNA
Title of studyMethylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma
Abstract of studyBACKGROUND: To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva.METHODS: Methylation of promoter regions of mgmiR candidates was initially screened using HNSCC and control cell lines and further selected using HNSCC and control tissues by quantitative methylation-specific PCR (qMS-PCR). We then examined a panel of seven mgmiRs for validation in an expanded cohort including 189 HNSCC and 92 non-HNSCC controls. Saliva from 86 pre-treatment HNSCC patients and 108 non-HNSCC controls was also examined using this panel of seven mgmiRs to assess the potentials of clinical utilization.RESULTS: Among the 315 screened mgmiRs, 12 mgmiRs were significantly increased in HNSCC cell lines compared to control cell lines. Seven out of the 12 mgmiRs, i.e., mgmiR9-1, mgmiR124-1, mgmiR124-2, mgmiR124-3, mgmiR129-2, mgmiR137, and mgmiR148a, were further found to significantly increase in HNSCC tumor tissues compared to control tissues. Using multivariable logistic regression with dichotomized variables, a combination of the seven mgmiRs had sensitivity and specificity of 92.6 and 92.4% in tissues and 76.7 and 86.1% in saliva, respectively. Area under the receiver operating curve for this panel was 0.97 in tissue and 0.93 in saliva. This model was validated by independent bootstrap validation and random forest analysis.CONCLUSIONS: mgmiR biomarkers represent a novel and promising screening tool, and the seven-mgmiR panel is able to robustly detect HNSCC in both patient tissue and saliva.