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SAL_22517 details
Primary information
SALIDSAL_22517
Biomarker nameBilophila
Biomarker TypeDiagnostic
Sampling Method376 human saliva samples, including 125 cases of OSCC; 124 cases of epithelial precursor lesion; and 127 normal controls with no malignant disease in the oral cavity.
Collection MethodSaliva samples (5 mL) from each participant were collected unstimulated, at least 1 h after eating, drinking, or smoking; or after mouth rinsing
Analysis MethodNext-generation sequencing
Collection SiteUnstimulated Saliva
Disease CategoryCancer
Disease/ConditionOral Cancer
Disease SubtypeOral squamous cell carcinoma (OSCC)
Fold Change/ Concentration4.285714286
Up/DownregulatedUpregulated
ExosomalNA
OrganismHomo sapiens
PMID29184122
Year of Publication2017
Biomarker ID35832
Biomarker CategoryMicrobe
SequenceNZ_JNJP00000000.1
Title of studyBacterial alterations in salivary microbiota and their association in oral cancer
Abstract of studyOral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity and the fourth leading malignancy and cause of cancer-related death in the male population of Taiwan. Most cases are detected at advanced stages, resulting in poor prognosis. Therefore, improved detection of early oral health disorders is indispensable. The involvement of oral bacteria in inflammation and their association with OSCC progression provide a feasible target for diagnosis. Due to the nature of oral neoplasms, the diagnosis of epithelial precursor lesions is relatively easy compared with that of other types of cancer. However, the transition from an epithelial precursor lesion to cancer is slow and requires further and continuous follow-up. In this study, we investigated microbiota differences between normal individuals, epithelial precursor lesion patients, and cancer patients with different lifestyle habits, such as betel chewing and smoking, using next-generation sequencing. Overall, the oral microbiome compositions of five genera, Bacillus, Enterococcus, Parvimonas, Peptostreptococcus, and Slackia, revealed significant differences between epithelial precursor lesion and cancer patients and correlated with their classification into two clusters. These composition changes might have the potential to constitute a biomarker to help in monitoring the oral carcinogenesis transition from epithelial precursor lesion to cancer.