Serum Metabolomic Signatures of Lymph Node Metastasis of Esophageal Squamous Cell Carcinoma

被引:83
|
作者
Jin, Hai [1 ]
Qiao, Fan [1 ]
Chen, Ling [1 ]
Lu, Chengjun [1 ]
Xu, Li [1 ]
Gao, Xianfu [2 ]
机构
[1] Second Mil Med Univ, Changhai Hosp, Dept Cardiothorac Surg, Shanghai 200433, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Syst Biol, Shanghai 200031, Peoples R China
关键词
Esophageal squamous cell carcinoma; metabolomics; serum; lymph node metastasis; gas chromatography/mass spectrometry; FATTY-ACID SYNTHASE; CANCER; TUMOR; METABONOMICS; EXPRESSION; MIGRATION; GLUTAMINE; CYSTEINE; RISK;
D O I
10.1021/pr500483z
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Lymph node metastasis was recently proven to be the single most important prognostic factor for esophageal cancer, an important malignant tumor with poor prognosis. A global metabolomics approach was applied to study lymph node metastasis of esophageal squamous cell carcinoma (ESCC). Metabolomics analyses were performed using gas chromatography/mass spectrometry together with univariate and multivariate statistical analyses. There were clear metabolic distinctions between ESCC patients and healthy subjects. ESCC patients could be well-classified according to lymph node metastasis. We further identified a series of differential serum metabolites for ESCC and lymph node metastatic ESCC patients, suggesting metabolic dysfunction in proliferation (aerobic glycolysis, glutaminolysis, fatty acid metabolism, and branched-chain amino acid consumption), apoptosis, migration, immune escape, and oxidative stress of cancer cells in metastatic ESCC patients. In total, three serum metabolites (valine, gamma-aminobutyric acid, and pyrrole-2-carboxylic acid) were selected by binary logistic regression analysis, and their combined use resulted in high diagnostic capacity for ESCC metastasis by receiver operating characteristic analysis. The present metabolomics study staged ESCC patients by lymph node metastasis, and the results suggest promising applications of this approach in prognostic prediction, tailored therapeutics, and understanding the pathological mechanisms of poor prognosis of ESCC patients.
引用
收藏
页码:4091 / 4103
页数:13
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