| Primary information |
|---|
| SALID | SAL_16490 |
| Biomarker name | Ethanol |
| Biomarker Type | Diagnostic |
| Sampling Method | The results depicted that 42 and 73 VOCs were detected and identified in samples from the healthy control group (n = 50) and oral cancer group (n = 24), respectively. |
| Collection Method | On average, 2 mL of unstimulated whole saliva was collected in a 10 mL glass bottle over a period of 5-10 min. |
| Analysis Method | GC-MS |
| Collection Site | Whole Saliva |
| Disease Category | Cancer |
| Disease/Condition | Oral Cancer |
| Disease Subtype | Oral squamous cell carcinoma (OSCC) |
| Fold Change/ Concentration | NA |
| Up/Downregulated | Decrease |
| Exosomal | NA |
| Organism | Homo sapiens |
| PMID | 30445287 |
| Year of Publication | 2019 |
| Biomarker ID | 702 |
| Biomarker Category | Metabolite |
| Sequence | CCO |
| Title of study | Identification of volatile metabolites in human saliva from patients with oral squamous cell carcinoma via zeolite-based thin-film microextraction coupled with GC-MS |
| Abstract of study | In recent years, volatile organic compounds (VOCs) discharged from the human body, of which some compounds exhibit strong correlations with pathological conditions, have attracted attention as a new means of disease diagnosis technology. The aim of this study was to establish the salivary metabolomic profiles of oral squamous cell carcinoma (OSCC) patients and healthy volunteers (control group) and to investigate VOCs as potential biomarkers in the diagnosis of oral cancer. We have demonstrated a method combining thin-film microextraction based on a ZSM-5/polydimethylsiloxane hybrid film coupled with gas chromatography-mass spectrometry and carried out a comparative analysis of salivary VOC profiles between OSCC patients and healthy controls. The results depicted that 42 and 73 VOCs were detected and identified in samples from the healthy control group (n = 50) and oral cancer group (n = 24), respectively. Among them, twenty-seven VOCs (ten were decreased, seven disappeared, and ten were newly produced in the oral cancer group) depict significant differences between both the sample groups, and they have relevance as candidate biomarkers for OSCC. Twelve salivary VOCs that were characteristic of oral cancer patients were finally extracted and used for pattern recognition analyses for oral cancer diagnosis. The proposed TFME approach for analyzing human saliva on the basis of a ZSM-5-loaded PDMS hybrid thin film has been performed for the very first time in the field of dentistry. |