胃癌组织脂肪酸和脂肪酸酰胺水平的变化及其意义

Tissue fatty acids and fatty acid amides levels in relation to gastric cancer

目的:观察胃癌组织中脂肪酸和脂肪酸酰胺水平的变化并寻找与胃癌相关的特征性小分子标志物。方法:利用气相色谱质谱联用技术(GC/MS)分析30例胃癌组织和30例癌旁正常组织的脂肪酸和脂肪酸酰胺水平。获得的脂类数据通过OPLS-DA多维统计分析方法建立胃癌诊断模型,应用非参数Wilcoxon检验发现具有统计学差异的组织标志物。结果:利用GC/MS分析共获得13种脂肪酸和4种脂肪酸酰胺,通过OPLS-DA建模后可以较好的区分胃癌组和对照组,但不能区分不同TNM分期的胃癌。胃癌组织中发现5种脂肪酸和油酸酰胺的变化较正常黏膜差异有统计学意义(P<0.05)。8种脂肪酸对OPLS-DA模型中两组患者的区分作用具有较大的贡献(VIP值>1)。结论:胃癌组织中脂肪酸和脂肪酸酰胺的代谢发生了紊乱,胃癌脂类代谢谱对于该病的诊断具有很大的潜力,有助于理解肿瘤发生的分子机制。

Objective：To investigate tissue fatty acids and fatty acid amides metabolic disorders for gastric cancer and explore characteristic small molecule biomarkers related to this disease.Methods：Gas chromatography/mass spectrometry （GC/MS） was used to analyze fatty acids and fatty acid amides for specimens from 30 GC patients.Diagnostic models for GC were established using orthogonal partial least squares discriminant analysis （OPLS-DA） and acquired lipids data was analyzed using the non parametric Wilcoxon rank sum test to find the potential biomarkers for GC.Results：Thirteen fatty acids and 4 fatty acid amides were detected and OPLS-DA model showed adequate discrimination from cancer tissues and matched normal tissues but could not discriminate cancer tissues from different TNM stages.Five differential fatty acids as well as oleamide were identified with significant difference （P＜0.05）.Eight fatty acids with VIP value ＞1 were observed in the OPLS-DA model for their most contribution for discrimination.Conclusions：These fatty acids and fatty acid amides potentially revealed perturbation of lipids metabolism associated with gastric cancer morbidity.These results also suggest tissue lipids metabolic profile has great potential in detecting gastric cancer and helping to understand its underlying mechanisms.