代谢组学
肺癌
磷酸胆碱
代谢物
次黄嘌呤
蛋氨酸
化学
生物化学
癌症
代谢途径
氨基酸
新陈代谢
医学
内科学
色谱法
酶
磷脂酰胆碱
磷脂
膜
作者
Peiyu Wang,Yuyao Yuan,Mantang Qiu
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 181-193
标识
DOI:10.1007/978-1-0716-3346-5_12
摘要
Limited knowledge has been reported regarding the performance of plasma metabolomics for predicting lung cancer prognosis. In this chapter, we compared the plasma metabolomics of lung cancer patients with differential disease-free survival (DFS, <3 years vs. >4 years) using liquid chromatography–mass spectrometry. We identified 29 survival-related aqueous metabolites but no lipid metabolites. Amino acids and organic acids constitute the majority of these metabolites. The metabolic pathways of these metabolites were cysteine and methionine metabolism and arginine biosynthesis. The Cox proportional hazards regression models confirmed the predictive values of 18 metabolites for DFS, while the phosphocholine and xanthine showed independent predictive values. Regarding cancer phenotypes, thelephoric acid, phosphocholine, inosine, 3-hydroxyanthranilic acid, hypoxanthine, xanthine, and 4-hydroxybenzoic acid showed good correction with lymph node metastasis. Taken together, plasma metabolomics is a powerful tool for identifying prognostic metabolites of lung cancer.
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