Department of Gastroenterology, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Anal Bioanal Chem. 2010 Feb;396(4):1385-95. doi: 10.1007/s00216-009-3317-4. Epub 2009 Dec 16.
Gastric cancer screening or diagnosis is mainly based on endoscopy and biopsy. The aim of this study was to identify the difference of metabolomic profile between normal and malignant gastric tissue, and to further explore tumor biomarkers. Chemical derivatization together with gas chromatography/mass spectrometry (GC/MS) was utilized to obtain the metabolomic information of the malignant and non-malignant tissues of gastric mucosae in 18 gastric cancer patients. Acquired metabolomic data was analyzed using the Wilcoxon rank sum test to find the tissue metabolic biomarkers for gastric cancer. A diagnostic model for gastric cancer was constructed using principal component analysis (PCA), and was assessed with receiver-operating characteristic (ROC) curves. Results showed that 18 metabolites were detected differently between the malignant tissues and the adjacent non-malignant tissues of gastric mucosa. Five metabolites were also detected differently between the non-invasive tumors and the invasive tumors. The diagnostic model could discriminate tumors from normal mucosae with an area under the curve (AUC) value of 0.9629, and another diagnostic model constructed for clinical staging was assessed with an AUC value of 0.969. We conclude that the metabolomic profile of malignant gastric tissue was different from normal, and that the selected tissue metabolites could probably be applied for clinical diagnosis or staging for gastric cancer.
胃癌的筛查或诊断主要基于内镜和活组织检查。本研究旨在鉴定正常和恶性胃组织之间代谢组特征的差异，并进一步探索肿瘤标志物。利用化学衍生化和气相色谱/质谱联用（GC/MS）技术，获取 18 例胃癌患者胃黏膜恶性和非恶性组织的代谢组学信息。采用 Wilcoxon 秩和检验对获得的代谢组数据进行分析，以寻找用于胃癌的组织代谢生物标志物。利用主成分分析（PCA）构建胃癌诊断模型，并通过受试者工作特征（ROC）曲线进行评估。结果表明，在恶性组织和胃黏膜相邻的非恶性组织之间检测到 18 种代谢物存在差异。在非侵袭性肿瘤和侵袭性肿瘤之间也检测到 5 种代谢物存在差异。诊断模型能够以 0.9629 的曲线下面积（AUC）值区分肿瘤与正常黏膜，另一个用于临床分期的诊断模型的 AUC 值评估为 0.969。我们得出结论，恶性胃组织的代谢组特征与正常组织不同，所选组织代谢物可能可用于胃癌的临床诊断或分期。
