鞘脂
结直肠癌
癌症
内科学
医学
接收机工作特性
胆固醇
多元分析
肿瘤科
胃肠病学
内分泌学
生理学
生物
生物化学
作者
Ziyue Pan,Zuojian Hu,Li Guan,Lei Zhang,Xia Gao,Lujie Yang,Tianqi Gong,Yanling Hu,Yanping Zhao,Hongxiu Yu
出处
期刊:Analyst
[The Royal Society of Chemistry]
日期:2022-05-17
卷期号:147 (10): 2189-2197
被引量:4
摘要
Background: Abnormal lipid metabolism affects the regulation of tumor progression, though use of serum lipids and sphingolipids for disease progression identification is uncertain. Methods: Serum samples from 51 healthy volunteers and 76 patients were collected and analyzed by liquid chromatography tandem mass spectrometry. Results: Levels of serum total cholesterol and high-density lipoprotein were significantly lower in colorectal cancer patients. Multivariate analysis demonstrated distinct sphingolipid profiles between healthy individuals and patients. Of 106 sphingolipids, 15 metabolites that showed statistical significance were selected, and receiver operating characteristic analysis of these metabolites yielded an area under the curve of 0.868 to 0.9 by machine learning algorithms for distinguishing colorectal cancer from a healthy status. Conclusions: Healthy individuals, polyps patients and colorectal cancer patients have different serum sphingolipid signatures. Serum sphingolipids might be used as biomarkers for early detection or prediction of colorectal cancer.
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