Vimal Joseph, George Nebu A, Kumar R Rejnish, Kattoor Jayasree, Kannan S
Division of Cancer Research, Regional Cancer Centre (Research Centre, University of Kerala), Thiruvananthapuram, India.
Division of Surgical Oncology (Head and Neck Clinic), Regional Cancer Centre, Thiruvananthapuram, India.
Arch Oral Biol. 2023 Nov;155:105780. doi: 10.1016/j.archoralbio.2023.105780. Epub 2023 Aug 3.
To identify the salivary metabolites associated with squamous cell carcinoma of the tongue to develop easy and non-invasive potential biomarkers for disease diagnosis.
Initially, the study utilized untargeted metabolomics to analyze 20 samples of tongue squamous cell carcinoma and 10 control samples. The objective was to determine the salivary metabolites that exhibited differential expression in tongue squamous cell carcinoma. Then the selected metabolites were validated using targeted metabolomics in saliva samples of 100 patients diagnosed with squamous cell carcinoma of the tongue, as well as 30 healthy control individuals.
From the analysis of untargeted metabolomics, 10 metabolites were selected as potential biomarkers. In the subsequent targeted metabolomics study on these selected metabolites, it was observed that N-Acetyl-D-glucosamine, L-Pipecolic acid, L-Carnitine, Phosphorylcholine, and Deoxyguanosine exhibited significant differences. The receiver operating characteristic curve analysis indicates a combination of three important metabolites such as N-Acetyl-D-glucosamine, L-Pipecolic acid and L-Carnitine provided the best prediction with an area under the curve of 0.901.
The present result reveals that the N-Acetyl-D-glucosamine, L-Pipecolic acid and L-Carnitine are the signature diagnostic biomarkers for oral tongue squamous cell carcinoma. These findings can be used to develop a rapid and non-invasive method for disease monitoring and prognosis in oral tongue cancer.
识别与舌鳞状细胞癌相关的唾液代谢物,以开发用于疾病诊断的简便且非侵入性的潜在生物标志物。
最初,该研究利用非靶向代谢组学分析了20份舌鳞状细胞癌样本和10份对照样本。目的是确定在舌鳞状细胞癌中表现出差异表达的唾液代谢物。然后,使用靶向代谢组学在100例被诊断为舌鳞状细胞癌的患者以及30名健康对照个体的唾液样本中对所选代谢物进行验证。
通过非靶向代谢组学分析,选择了10种代谢物作为潜在生物标志物。在随后对这些所选代谢物的靶向代谢组学研究中,观察到N-乙酰-D-葡萄糖胺、L-哌啶酸、L-肉碱、磷酸胆碱和脱氧鸟苷存在显著差异。受试者工作特征曲线分析表明,N-乙酰-D-葡萄糖胺、L-哌啶酸和L-肉碱这三种重要代谢物的组合提供了最佳预测,曲线下面积为0.901。
目前的结果表明,N-乙酰-D-葡萄糖胺、L-哌啶酸和L-肉碱是口腔舌鳞状细胞癌的标志性诊断生物标志物。这些发现可用于开发一种快速且非侵入性的方法,用于口腔舌癌的疾病监测和预后评估。