Li Wen, Li Yang, Chen Zhuo, Lam Alfred King-Yin, Li Zeping, Liu Xiaoling, Zhu Baoyu, Qiao Bin
Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Cancer Molecular Pathology, School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
Oral Dis. 2023 May;29(4):1464-1479. doi: 10.1111/odi.14125. Epub 2022 Jan 25.
Studies have shown that cancer progression of head and neck squamous cell carcinoma (HNSCC) is related with metabolic alterations. The aim of this study is to identify the clinical roles of metabolic alterations in HNSCC.
Metabolism-related genes associated with HNSCC were searched in public databases. A predictive and efficacious LASSO model was fabricated to optimize the diagnosis that was based on these genes. Meantime, ultra-performance liquid chromatography-quadrupole/orbitrap high resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) was used to compare patients with HNSCC (n = 73) with healthy controls (n = 51) for serum metabolites. Potential biomarkers and alterations in serum metabolites were analysed and evaluated using t test analysis, principal component analysis and orthogonal partial least square-discrimination analysis.
Overall, 21 differential metabolites were probed in serum, of which eight metabolites had potential for clinical uses. Transcriptome analysis showed that four genes in the constructed LASSO model were found to be associated with seven differential metabolites. Metabolic pathway analysis by MetaboAnalyst showed that the biomarkers that were related with HNSCC were closely related to four metabolism pathways (p < 0.05).
To conclude, future research on HNSCC should be directed towards multi-omics to provide treatment, intervention or diagnosis of the disease.
研究表明，头颈部鳞状细胞癌（HNSCC）的癌症进展与代谢改变有关。本研究的目的是确定代谢改变在HNSCC中的临床作用。
在公共数据库中搜索与HNSCC相关的代谢相关基因。构建了一个预测性且有效的LASSO模型，以优化基于这些基因的诊断。同时，采用超高效液相色谱-四极杆/轨道阱高分辨率质谱（UHPLC-Q-Orbitrap HRMS）对73例HNSCC患者和51例健康对照者的血清代谢物进行比较。使用t检验分析、主成分分析和正交偏最小二乘判别分析对血清代谢物中的潜在生物标志物和变化进行分析和评估。
总体而言，在血清中检测到21种差异代谢物，其中8种代谢物具有临床应用潜力。转录组分析表明，构建的LASSO模型中的4个基因与7种差异代谢物相关。MetaboAnalyst的代谢途径分析表明，与HNSCC相关的生物标志物与4条代谢途径密切相关（p < 0.05）。
总之，未来对HNSCC的研究应朝着多组学方向进行，以提供该疾病的治疗、干预或诊断。
