25例口腔鳞癌患者唾液代谢组学分析

doi:10.19439/j.sjos.2021.02.018

上海口腔医学 ›› 2021, Vol. 30 ›› Issue (2): 201-205.doi: 10.19439/j.sjos.2021.02.018

25例口腔鳞癌患者唾液代谢组学分析

薛佳艺¹, 朱晓燕², 危常磊³, 孙培³, 张慧³, 邓婧³

1.长治医学院附属和平医院口腔科,山西长治 046000;
2.山东大学齐鲁医院（青岛）口腔科,山东青岛 266000;
3.青岛大学附属医院口腔内科,山东青岛 266003

收稿日期:2020-03-09 修回日期:2020-06-16 出版日期:2021-04-25 发布日期:2021-05-11
通讯作者: 邓婧,E-mail：dengjing3333@126.com
作者简介:薛佳艺（1992-）,女,硕士,住院医师,E-mail：241829639@qq.com

Study of salivary metabonomics in patients with oral squamous cell carcinoma and leukoplakia

XUE Jia-yi¹, ZHU Xiao-yan², WEI Chang-lei³, SUN Pei³, ZHANG Hui³, DENG Jing³

1. Department of Stomatology, Affiliated Peace Hospital of Changzhi Medical College. Changzhi 046000,Shanxi Province;
2. Department of Stomatology, Qilu Hospital of Shandong University (Qingdao). Qingdao 266000,Shandong Province;
3. Department of Oral Medicine, Affiliated Hospital of Qingdao University. Qingdao 266003, Shandong Province, China

Received:2020-03-09 Revised:2020-06-16 Online:2021-04-25 Published:2021-05-11

摘要/Abstract

摘要： 目的:用代谢组学方法检测并分析口腔鳞状细胞癌（oral squamous cell carcinoma,OSCC）是否有典型差异代谢物,探讨此方法用于临床诊断或筛查的可行性。方法:利用气相色谱-飞行时间质谱（GC-TOF-MS）代谢组学方法,对OSCC、口腔白斑（OLK）患者以及健康人的唾液标本进行分析,运用SIMCA软件对结果进行主成分分析和正交偏最小二乘法判别分析。结果:OSCC、OLK和健康对照组的代谢轮廓表现出显著差异（P<0.05）,3组之间存在的典型差异代谢物共有15种。进一步探讨其代谢通路,发现OSCC患者与OLK患者都存在不同程度的蛋白质代谢、能量代谢以及脂类代谢失衡现象;同时,还表现出三羧酸循环异常。结论:运用代谢组学方法可检测出OSCC、OLK与健康人之间存在着15种典型的差异代谢物,将有助于OSCC的早期筛查。

关键词: 口腔鳞癌, 口腔黏膜白斑, 代谢组学

Abstract: PURPOSE: The objective of this study was to detect and analyze the existence of differential metabolites from saliva of patients with oral squamous cell carcinoma(OSCC) by metabonomics method, and to evaluate its application value on clinical diagnosis or screening of OSCC. METHODS: The collected saliva samples for OSCC patients, oral leukoplakiac(OLK) patients who were pathologically diagnosed and met the inclusion criteria were analyzed using metabonomics methods (GC-TOF-MS). The results were analyzed by principal component analysis and orthogonal partial least squares discriminant analysis using SIMCA software. RESULTS: The metabolic profiles of OSCC, OLK and healthy control group showed significant differences (P<0.05). In total, 15 typical differential metabolites among the three groups were detected. Further study focusing on metabolic pathway revealed imbalance of protein, energy and lipid metabolism between OSCC and OLK patients. Abnormal tricarboxylic acid cycle was detected as well. CONCLUSIONS: Metabonomics methods is feasible for differential metabolites analysis,15 differential metabolites were detected in OSCC,OLK patients and healthy people. These findings will contribute to the early screening of oral squamous cell carcinoma .

Key words: Oral squamous cell carcinoma, Oral leukoplakia, Metabonomics

中图分类号:

R739.8

薛佳艺, 朱晓燕, 危常磊, 孙培, 张慧, 邓婧. 25例口腔鳞癌患者唾液代谢组学分析[J]. 上海口腔医学, 2021, 30(2): 201-205.

XUE Jia-yi, ZHU Xiao-yan, WEI Chang-lei, SUN Pei, ZHANG Hui, DENG Jing. Study of salivary metabonomics in patients with oral squamous cell carcinoma and leukoplakia[J]. Shanghai Journal of Stomatology, 2021, 30(2): 201-205.

参考文献

[1] Amit M, Yen T, Liao C, et al.Improvement in survival of patients with oral cavity squamous cell carcinoma: an international collaborative study[J]. Cancer, 2013,119(24): 4242-4248.
[2] Sakamoto Y, Matsushita Y, Yamada SI, et al.Risk factors of distant metastasis in patients with squamous cell carcinoma of the oral cavity[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2015, 121(5): 474-480.
[3] Brouns E, Baart J, Bloemena E, et al.The relevance of uniform reporting in oral leukoplakia: definition, certainty factor and staging based on experience with 275 patients[J]. Med Oral Patol Oral Cir Bucal, 2012, 18(1): e19-e26.
[4] Liu Y, Li Y, Fu Y, et al.Quantitative prediction of oral cancer risk in patients with oral leukoplakia[J]. Oncotarget, 2017, 8(28): 46057-46064.
[5] 王宇峰, 尚书, 周曾同, 等. 口腔白斑癌变率与癌变时间及其影响因素的回顾分析[J]. 上海口腔医学, 2011, 20(1): 65-71.
[6] Kim SJ, Kim SH, Kim JH, et al.Understanding metabolomics in biomedical research[J]. Endocrinol Metab, 2015, 31(1): 7-16.
[7] Gupta A, Gupta S, Mahdi A, et al.1H NMR-derived serum metabolomics of leukoplakia and squamous cell carcinoma[J]. Clin Chim Acta, 2015, 441(1): 47-55.
[8] Ohshima M, Sugahara K, Kasahara K, et al.Metabolomic analysis of the saliva of Japanese patients with oral squamous cell carcinoma[J]. Oncol Rep, 2017, 37(5): 2727-2734.
[9] Navazesh M.Methods for collecting saliva[J]. Ann N Y Acad Sci, 1993, 694(1):72-77.
[10] Martínez-Arranz, Ibon, Mayo R, Pérez-Cormenzana M, et al. Enhancing metabolomics research through data mining[J]. J Proteomics, 2015,127(Pt B): 275-288.
[11] Lubes G, Goodarzi M.GC-MS based metabolomics used for the identification of cancer volatile organic compounds as biomarkers[J]. J Pharm Biomed Anal, 2018, 147: 313-322.
[12] Wang Q, Yu Q, Lin Q, et al.Emerging salivary biomarkers by mass spectrometry[J]. Clin Chim Acta, 2015, 438: 214-221.
[13] Koneru S, Tanikonda R.Salivaomics - a promising future in early diagnosis of dental diseases[J]. Dent Res J, 2014, 11(1): 11-15.
[14] Schwartz L, Supuran CT, Alfarouk KO.The warburg effect and the hallmarks of cancer[J]. Anticancer Agents Med Chem, 2017, 17(2): 164-170.
[15] Hui S, Ghergurovich JM, Morscher RJ, et al.Glucose feeds the TCA cycle via circulating lactate[J]. Nature, 2017, 551(7678): 115-118.
[16] Olsson B, Cox TF, Psarelli EE, et al.Relationship between serum concentrations of nitisinone and its effect on homogentisic acid and tyrosine in patients with alkaptonuria[J]. JIMD Rep, 2015, 24(1):21-27.
[17] Hussain SP, Harris CC.Inflammation and cancer: an ancient link with novel potentials[J]. Int J Cancer, 2007, 121(11): 2373-2380.
[18] Sheng H, Shao J, Washington MK, et al.Prostaglandin E2 increases growth and motility of colorectal carcinoma cells[J]. J Biological Chem, 2001, 276(21): 18075-18081.

25例口腔鳞癌患者唾液代谢组学分析

Study of salivary metabonomics in patients with oral squamous cell carcinoma and leukoplakia

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