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Systematic verification of saliva-based biosignatures for oral cancer via targeted metabolomics   全文下載 全文下載
並列篇名
Systematic verification of saliva-based biosignatures for oral cancer via targeted metabolomics
英文摘要
Oral squamous cell carcinoma (OSCC) remains a major global health challenge, and early detection is essential for improving patient outcomes. To identify reliable salivary biomarkers, we performed a targeted metabolomics study using 13C2/12C2-dansylation, integrating candidate metabolites from published OSCC metabolomics datasets and systematically verifying them through LC-MRM-MS. A panel of 26 metabolites was quantified in saliva samples from 299 subjects, including healthy controls (n ? 98), oral potentially malignant disorders (OPMD I, n ? 50; OPMD II, n ? 53), and OSCC patients (n ? 98). Among these, cadaverine, N-acetylcadaverine, choline, glycine, and tryptophan were significantly dysregulated across disease groups. Cadaverine, N-acetylcadaverine and choline were consistently elevated in OSCC and showed progressive increases with disease stages, whereas glycine levels declined. A fourmetabolite panel (cadaverine, N-acetylcadaverine, choline, glycine) demonstrated strong diagnostic performance in distinguishing OSCC from healthy controls (AUC ? 0.91). Correlation analyses further revealed coordinated regulation among polyamine-related metabolites, suggesting a reprogramming of ornithine—polyamine metabolism in OSCC progression. In conclusion, we establish a verified salivary metabolite panel with high discriminatory power for OSCC detection. These findings highlight polyamine-associated metabolic alterations as a hallmark of malignant transformation in the oral cavity and support salivary metabolomics as a clinically accessible tool for non-invasive screening and risk stratification.
起訖頁 88-103
關鍵詞 Biomarkers、MRM-MS、OPMD、Oral cancer、Targeted metabolomics
刊名 JOURNAL OF FOOD AND DRUG ANALYSIS  
期數 202603 (34:1期)
出版單位 衛生福利部食品藥物管理署
該期刊-上一篇 Phthalate exposure and lipid disruption in Taiwanese children: Insights from serum lipidomic approach
 

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