Zhu Xianlan, Wang Kun, Liu Gaoshuang, Wang Yuqing, Xu Jin, Liu Linsheng, Li Mengjie, Shi Jian, Aa Jiye, Yu Lianzhen
Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China.
Department of Gastroenterology, Wuxi People's Hospital Affiliated to Nanjing Medical University, 299 Qingyang Road, Wuxi 214023, China.
Gastroenterol Res Pract. 2017;2017:5469597. doi: 10.1155/2017/5469597. Epub 2017 Apr 20.
Clinical diagnosis of esophageal cancer (EC) at early stage is rather difficult. This study aimed to profile the molecules in serum and tissue and identify potential biomarkers in patients with EC. A total of 64 volunteers were recruited, and 83 samples (24 EC serum samples, 21 serum controls, 19 paired EC tissues, and corresponding tumor-adjacent tissues) were analyzed. The gas chromatography time-of-flight mass spectrometry (GC/TOF-MS) was employed, and principal component analysis was used to reveal the discriminatory metabolites and identify the candidate markers of EC. A total of 41 in serum and 36 identified compounds in tissues were relevant to the malignant prognosis. A marked metabolic reprogramming of EC was observed, including enhanced anaerobic glycolysis and glutaminolysis, inhibited tricarboxylic acid (TCA) cycle, and altered lipid metabolism and amino acid turnover. Based on the potential markers of glucose, glutamic acid, lactic acid, and cholesterol, the receiver operating characteristic (ROC) curves indicated good diagnosis and prognosis of EC. EC patients showed distinct reprogrammed metabolism involved in glycolysis, TCA cycle, glutaminolysis, and fatty acid metabolism. The pivotal molecules in the metabolic pathways were suggested as the potential markers to facilitate the early diagnosis of human EC.
早期食管癌（EC）的临床诊断相当困难。本研究旨在分析血清和组织中的分子，并鉴定食管癌患者的潜在生物标志物。共招募了64名志愿者，分析了83个样本（24份食管癌血清样本、21份血清对照、19对配对的食管癌组织及相应的癌旁组织）。采用气相色谱 - 飞行时间质谱（GC/TOF-MS），并通过主成分分析揭示具有鉴别作用的代谢物，确定食管癌的候选标志物。血清中共有41种、组织中共有36种已鉴定的化合物与恶性预后相关。观察到食管癌存在明显的代谢重编程，包括无氧糖酵解和谷氨酰胺分解增强、三羧酸（TCA）循环受抑制、脂质代谢和氨基酸周转改变。基于葡萄糖、谷氨酸、乳酸和胆固醇的潜在标志物，受试者工作特征（ROC）曲线表明对食管癌具有良好的诊断和预后价值。食管癌患者在糖酵解、TCA循环、谷氨酰胺分解和脂肪酸代谢中表现出明显的代谢重编程。代谢途径中的关键分子被认为是有助于人类食管癌早期诊断的潜在标志物。
