Lipid alterations and subtyping maker discovery of lung cancer based on nontargeted tissue lipidomics using liquid chromatography-mass spectrometry

被引:20
|
作者
Fan, Yingying [1 ]
Noreldeen, Hamada A. A. [2 ,3 ,4 ]
You, Lei [2 ,3 ]
Liu, Xinyu [2 ]
Pan, Xue [1 ]
Hou, Zhichao [1 ]
Li, Qiangming [1 ]
Li, Xiangnan [1 ]
Xu, Guowang [2 ,3 ]
机构
[1] Zhengzhou Univ, Affiliated Hosp 1, Zhengzhou 450052, Peoples R China
[2] Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Natl Inst Oceanog & Fisheries, Marine Environm Div, Marine Chem Lab, Hurghada 84511, Egypt
基金
中国国家自然科学基金;
关键词
Lipid alterations; Lung cancer; Subtyping; Maker discovery; Lipidomics; Liquid chromatography-mass spectrometry;
D O I
10.1016/j.jpba.2020.113520
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
High morbidity and mortality are still associated with lung cancer, especially non-small cell lung cancer (NSCLC). Although several studies showed abnormality in lung cancer lipidome, the underlying mechanism remains unclear. Therefore, a marker for early diagnosis of NSCLC is highly needed. In this study, a nontargeted lipidomics approach based on liquid chromatography-mass spectrometry was used to analyze the lung tumor tissue (LCT) lipidome to investigate the characteristics of lipid metabolism alterations in lung cancer tissues and find suitable lipid markers for lung cancer and its subtypes. Our results revealed that the most prominent alterations in LCT were the decrease of free fatty acid (FFA) and increase of triglyceride compared with distal noncancerous tissue (DNT). We also identified and verified the combinational lipid markers which can discriminate malignant from benign tissue as well as different NSCLC subtypes. These results not only provide hints in the lipid metabolism dysregulations between malignant and benign tissues but also define the combinational lipid markers to aid clinical diagnosis of lung cancer and its subtypes. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
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