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联合脂质组学方法揭示了血浆乙醇胺磷脂酰基醇和脂肪酸作为结直肠癌患者的早期诊断生物标志物。

A conjunctive lipidomic approach reveals plasma ethanolamine plasmalogens and fatty acids as early diagnostic biomarkers for colorectal cancer patients.

机构信息

Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, P. R. China.

Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, P. R. China.

出版信息

Expert Rev Proteomics. 2020 Mar;17(3):233-242. doi: 10.1080/14789450.2020.1757443. Epub 2020 May 4.

DOI:10.1080/14789450.2020.1757443
PMID:32306783
Abstract

: Colorectal cancer (CRC) represents a third leading cause of cancer-related death worldwide. The reliable diagnostic biomarkers for detecting CRC at early stage is critical for decreasing the mortality.: A conjunctive lipidomic approach was employed to investigate the differences in plasma lipid profiles of CRC patients (n = 101) and healthy volunteers (n = 52). Based on UHPLC-Q-TOF MS and UHPLC-QQQ MS platforms, a total of 236 lipids were structurally detected. Multivariate data analysis was conducted for biomarkers discovery.: A total of 11 lipid species, including 1 Glycerophosphoethanolamine (PE), 3 ethanolamine plasmalogens (PlsEtn), 1 plasmanyl glycerophosphatidylethanolamine (PE-O), 3 fatty acids (FFA), 1 Fatty acid ester of hydroxyl fatty acid (FAHFA) and 2 Diacylglycerophosphates (PA) were identified to distinguish the CRC patients at early stage from healthy controls. In addition, these potential lipid biomarkers achieved an estimated AUC=0.981 in a validation set for univariate ROC analysis.: By combining Q-TOF MS and QQQ MS analysis, the 11 lipids exhibited good performance in differentiating early-stage CRC and healthy control. This study also demonstrated that lipidomics is a powerful tool in discovering new potential biomarkers for cancer diagnosis.

摘要

: 结直肠癌(CRC)是全球第三大癌症相关死亡原因。寻找可靠的 CRC 早期诊断生物标志物对于降低死亡率至关重要。: 本研究采用联合脂质组学方法,分析了 101 例 CRC 患者和 52 例健康志愿者的血浆脂质谱差异。基于 UHPLC-Q-TOF MS 和 UHPLC-QQQ MS 平台,共检测到 236 种脂质。采用多元数据分析进行生物标志物发现。: 共鉴定出 11 种脂质,包括 1 种甘油磷酸乙醇胺(PE)、3 种乙醇胺磷脂(PlsEtn)、1 种磷脂酰甘油乙醇胺(PE-O)、3 种脂肪酸(FFA)、1 种羟基脂肪酸的脂肪酸酯(FAHFA)和 2 种二酰基甘油磷酸酯(PA),这些脂质可区分早期 CRC 患者和健康对照者。此外,这些潜在的脂质生物标志物在验证集中进行单变量 ROC 分析时,估计 AUC=0.981。: 通过 Q-TOF MS 和 QQQ MS 分析相结合,这 11 种脂质在区分早期 CRC 和健康对照组方面表现出良好的性能。本研究还表明,脂质组学是发现癌症诊断新的潜在生物标志物的有力工具。

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