›› 2020, Vol. 11 ›› Issue (2): 107-112.doi: 10.3969/j.issn.1674-8603.2020.02.009

• 论著 • 上一篇    下一篇

基于液相色谱-质谱技术的口腔癌代谢组学初步研究

毛广艳1,孙秋望月2,邓威2,金齐尧3,王晨星4,李怀奇3,叶金海1   

  1. 1. 南京医科大学附属口腔医院颌面外科
    2. 南京医科大学附属口腔医院口腔颌面外科
    3. 南京医科大学附属口腔医院
    4. 1.南京医科大学口腔疾病研究江苏省重点实验室 2.南京医科大学附属口腔医院口腔颌面外科
  • 收稿日期:2020-02-25 修回日期:2020-05-06 出版日期:2020-06-25 发布日期:2020-07-08
  • 通讯作者: 毛广艳 E-mail:2249168634@qq.com
  • 基金资助:
    国家自然基金;“科教强卫工程”医学重 点人才项目;江苏高校优势学科建设工程资助项目

A preliminary study on the metabonomics of oral cancer based on liquid chromatography-mass spectrometry

  • Received:2020-02-25 Revised:2020-05-06 Online:2020-06-25 Published:2020-07-08

摘要: 目的:采用液相色谱-质谱联用技术,探讨口腔鳞癌(OSCC)组织与匹配的癌旁组织在代谢组学方面的差异。方法:基于液相色谱-质谱联用技术对15对OSCC组织及匹配的癌旁组织进行非靶向代谢组学分析。采用主成分分析及偏最小二乘法判别分析方法,筛选并确定差异代谢物。用MetaboAnalyst数据库对代谢物进行代谢集富集分析及代谢通路拓扑分析,确定异常代谢通路。结果:对OSCC组织及匹配的癌旁组织进行分析得到16个差异代谢物;经过代谢通路分析,OSCC患者体内可能存在鞘脂代谢、精氨酸和脯氨酸代谢、嘧啶代谢和甘油磷脂代谢等代谢通路异常。结论:OSCC组织跟匹配的癌旁组织在代谢组学上存在明显代谢异常,具有诊断价值的异常代谢物可作为OSCC早期诊断标志物。

关键词: 口腔鳞癌, 代谢组学, 超高效液相色谱-质谱, 差异代谢物

Abstract: Objective:?To determine the metabolic differences between oral squamous cell carcinoma (OSCC) tissue and the paired adjacent noncancerous tissue by liquid chromatography-mass spectrometry. Methods:Fifteen pairs of OSCC tissues and matched normal tissues were analyzed by liquid chromatography-mass spectrometry. The differential metabolites were screened and determined by principal component analysis and partial least squares discriminant analysis.?Using MetaboAnalyst database to do the metabolic set enrichment analysis and metabolic pathway topological analysis of metabolites for determining abnormal metabolic pathways. Results:? Sixteen different metabolites can we got in OSCC tissues and adjacent tissues after analysis. By metabolic pathway analysis, there may be abnormal metabolic pathways such as sphingolipid metabolism, arginine and proline metabolism, pyrimidine metabolism and glycerophospholipid metabolism in OSCC patients. Conclusions:?There are obvious metabolic abnormalities in the tissues of OSCC and the paired adjacent noncancerous tissue, and abnormal metabolites with diagnostic value can be used as early diagnostic markers for OSCC patients.

Key words: oral squamous cell carcinoma, Metabolomics, UPLC-MS/MS, Differential metabolites