High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women

	High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women
	Zhang, Yangyang 1; Liu, Yingying 2; Li, Lin 1,3; Wei, Jinchao 1; Xiong, Shaoxiang 1; Zhao, Zhenwen 1,3
刊名	TALANTA
	2016-04-01
卷号	150 页码:88-96
关键词	Mass spectrometry Lipidomics Ovarian cancer Multivariate data analysis Glycerophospholipid metabolism
英文摘要	Ovarian cancer (OC) is the most common cause of death from gynecologic malignancies in women. The identification of reliable diagnostic biomarkers for the early detection of this deadly disease is critical for reducing the mortality rate of OC. Plasma lysophosphatidic acid (LPA) levels were increased from OC patients vs. healthy controls. Therefore, lipidomics may represent an excellent developing prospect for the discovery of diagnostic biomarkers of OC. In this study, a nontargeted lipidomics approach based on ultra performance liquid chromatography-electrospray ionization-QTOF-mass spectrometry (UPLC-ESI-QTOF-MS) combined with multivariate data analysis, including principal component analysis (PCA) and (orthogonal) partial least squared discriminant analysis [(0)PLS-DA] was applied for the investigation of potential diagnostic biomarkers in plasma of OC patients. Patients with OC could be distinguished from healthy individuals and patients with benign gynecological tumor disease by this method, which shows a significant lipid perturbation in this disease. With the assistance of high resolution and high accuracy of MS and MS/MS data, the potential markers including lysophosphatidylcholines (LPCs), phosphatidylcholines (PCs) and triacylglycerols (TGs) with specific fatty acid chains, were identified. Interestingly, LPCs were up-regulated and PCs and TGs were down-regulated, compared OC group with benign tumor and normal control groups, and the glycerophospholipid metabolism emerged as a key pathway, in particular, the phospholipase A2 (PLA2) enzyme activity, that was disregulated in the disease. This study may provide new insight into underlying mechanisms for OC and proves that MS-based lipidomics is a powerful method in discovering new potential clinical biomarkers for diseases. (C) 2015 Elsevier B.V. All rights reserved.
收录类别	SCI
语种	英语
内容类型	期刊论文
源URL	[http://ir.iccas.ac.cn/handle/121111/35850]
专题	化学研究所_活体分析化学实验室
作者单位	1.Chinese Acad Sci, Key Lab Analyt Chem Living Biosyst, Beijing Natl Lab Mol Sci, Inst Chem,Beijing Mass Spectrum Ctr, Beijing 100190, Peoples R China 2.Peking Univ, Shougang Hosp, Dept Obstet & Gynecol, Beijing 100144, Peoples R China 3.Univ Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yangyang,Liu, Yingying,Li, Lin,et al. High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women[J]. TALANTA,2016,150:88-96.
APA	Zhang, Yangyang,Liu, Yingying,Li, Lin,Wei, Jinchao,Xiong, Shaoxiang,&Zhao, Zhenwen.(2016).High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women.TALANTA,150,88-96.
MLA	Zhang, Yangyang,et al."High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women".TALANTA 150(2016):88-96.