人类胃癌发病相关的脂肪酸和脂肪酸酰胺水平的变化及其意义

研究背景 胃癌是最常见的恶性肿瘤之一。肿瘤细胞脂类代谢的改变可能与肿瘤飞发病有关。本研究旨在调查胃癌组织脂肪酸和脂肪酸酰胺的代谢谱改变并探讨与胃癌相关的特征性小分子标记物。方法 利用GC/MS对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进行分析。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 通过GC/MS分析共获得13种脂肪酸和4种脂肪酸酰胺，利用OPLS-DA建模后可以较好的区分胃癌组和对照组，但不能区别不同TNM分期的各组胃癌。胃癌组织中发现5种脂肪酸和油酸酰胺的变化较正常粘膜具有统计学(p<0.05)。OPLS-DA模型中发现8种脂肪酸对两组病人的区分作用具有较大的贡献（VIP值>1）。结论 本实验发现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机制。

Metabolic disorders of fatty acids and fatty acid amides associated with human gastric cancer morbidity

Background Gastric cancer (GC) is one of the most common types of cancer in the world. A change in the metabolism of lipids in tumor cells could lead to the pathogenesis of cancer. In this study, we investigated fatty acids and fatty acid amides metabolic perturbations associated with gastric cancer morbidity. Methods Gas chromatography/mass spectrometry (GC/MS) was utilized to analyze fatty acids (FA) and fatty acid amides (FAA) of gastric cancer tissues and matched normal mucosae from 30 GC patients. Acquired lipids data was analyzed using non parametric Wilcoxon rank sum test to find the differential biomarkers for GC and diagnostic models for GC were established using orthogonal partial least squares discriminant analysis (OPLS-DA). Results A total of 13 FA and 4 FAA were detected using GC/MS and 5 differential FA as well as oleamide were identified with significant difference (p<0.05). The OPLS-DA model generated from lipids profile showed adequate discrimination from GC tissues and normal mucosae while the OPLS-DA model failed to separate GC specimens of different TNM stages. A total of 8 variables were obtained for their most contribution in the discriminating model (VIP value>1.0), five of which were detected with significant difference (p<0.05).Conclusions FA and FAA metabolic profiles have great potential in detecting GC and helping to understand perturbations of lipids metabolism associated with GC morbidity.