文章摘要
唐小虎,童 雷,杨 明.基于核磁共振的食管鳞癌血清代谢组学研究[J].南京医科大学学报,2016,(6):659~664
基于核磁共振的食管鳞癌血清代谢组学研究
A serum NMR-based metabolomic study in esophageal squamous cell carcinoma
投稿时间:2016-04-25  
DOI:10.7655/NYDXBNS20160604
中文关键词: 食管鳞癌  代谢组学  核磁共振
英文关键词: esophageal squamous cell carcinoma  metabolomics  NMR
基金项目:国家863计划(2015AA020950);分子肿瘤学国家重点实验室开放课题(SKL-KF-2015-05)
作者单位
唐小虎 山东省医学科学院山东大学附属山东省肿瘤医院基础研究中心,山东 济南 250117
北京化工大学生命科学与技术学院,北京 100029 
童 雷 中国人民解放军白求恩国际和平医院心胸外科,河北 石家庄 050082 
杨 明 山东省医学科学院山东大学附属山东省肿瘤医院基础研究中心,山东 济南 250117 
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中文摘要:
      目的:食管鳞癌是一种在我国高发的恶性肿瘤,不易被早期发现且缺乏临床早期诊断分子标志物?因此,本研究拟使用基于核磁共振的血清代谢组学方法来寻找食管鳞癌相关的代谢分子标志物?方法:使用基于核磁共振的代谢组学方法比较了发现组(29例食管鳞癌患者和31例正常人)血清样本中代谢物的差异,进而在验证组(20例食管鳞癌和21例正常人)中验证了相关结果?使用主成分分析?最小二乘法得到了和食管鳞癌相关的代谢组学指纹图谱?结果:利用人工神经网络,我们发现脯氨酸和谷氨酰胺为食管鳞癌相关血清代谢标志物,并使用聚类分析对这两个标志物进行验证?这两个代谢物含量分析结果显示,脯氨酸和谷氨酰胺在食管鳞癌患者血清中的含量显著低于正常人?结论:基于核磁共振的血清代谢组学方法是一种潜在的食管鳞癌早期诊断方法?
英文摘要:
      Objective:As a highly lethal disease,esophageal squamous cell carcinoma(ESCC) shows a relatively high prevalence in China. Since patients with early-stage tumors usually showed no symptoms or signs and there were no general screening methods,ESCC was often diagnosed at late stages,which leading to poor prognosis. Therefore,we performed a metabolomics profiling approach to discover noninvasive and reliable serum biomarkers of ESCC for rapid-screening diagnosis among Chinese Han population. Methods:The proton nuclear magnetic resonance (1H NMR) spectra of 29 ESCC patients and 31 age- and sex-matched healthy controls were firstly analyzed using partial least squares-discriminant analysis (PLS-DA),neural networks analyses and hierarchical cluster analysis (HCA). The serum metabolomic fingerprint discovered was then validated in additional 20 ESCC cases and 21 controls from another medical center. Results:The metabolomic PLS-DA score plot showed good separation between ESCC and healthy groups. The following neural networks analyses and HCA identified an ESCC-related metabolomites combination including two markers (serum praline and glutamine/glutamate). Conclusion:Our results highlight the NMR-based metabolomics approach in distinguishing individuals with or without ESCC and support the potential application as early diagnosis of ESCC.
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