Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer

被引:42
|
作者
Chen, Yingrong [1 ]
Ma, Zhihong [1 ]
Shen, Xiongrong [2 ]
Li, Liqin [1 ]
Zhong, Jing [1 ]
Min, Li Shan [1 ]
Xu, Limin [1 ]
Li, Hongwei [3 ]
Zhang, Jianbin [3 ]
Dai, Licheng [1 ]
机构
[1] Huzhou Cent Hosp, Huzhou Key Lab Mol Med, Huzhou 313000, Zhejiang, Peoples R China
[2] Huzhou Cent Hosp, Dept Clin Pharmacol, Huzhou 313000, Zhejiang, Peoples R China
[3] Huzhou Cent Hosp, Cardiothorac Surg, Huzhou 313000, Zhejiang, Peoples R China
关键词
POTENTIAL BIOMARKERS; FATTY-ACIDS; METABOLISM; BENIGN; PHOSPHATIDYLCHOLINE; PHOSPHOLIPIDS; STATISTICS; DISEASES; CEA;
D O I
10.1155/2018/5276240
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Non-small cell lung cancer (NSCLC) is the leading cause of cancer death worldwide, which ranks top in both incidence and mortality. To broaden our understanding of the lipid metabolic alterations in NSCLC and to identify potential biomarkers for early diagnosis, we performed nontargeted lipidomics analysis in serum from 66 early-stage NSCLC, 40 lung benign disease patients (LBD), and 40 healthy controls (HC) using Ultrahigh Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry (UHPLC-Q-TOF/MS). The identified biomarker candidates of phosphatidylcholines (PCs) and phosphatidylethanolamines (PEs) were further externally validated in a cohort including 30 early-stage NSCLC, 30 LBD, and 30 HC by a targeted lipidomic analysis. We observed a significantly altered lipid metabolic profile in early-stage NSCLC and identified panels of PCs and PEs to distinguish NSCLC patients and HC. The levels of PCs and PEs were found to be dysregulated in glycerophospholipid metabolism, which was the top altered pathway in early-stage NSCLC. Receiver operating characteristic (ROC) curve analysis revealed that panels of PCs and PEs exhibited good performance in differentiating early-stage NSCLC and HC. The levels of PE(16:0/16:1), PE(16:0/18:3), PE(16:0/18:2), PE(18:0/16:0), PE(17:0/18:2), PE(18:0/17:1), PE(17:0/18:1), PE(20:5/16:0), PE(18:0/18:1), PE(18:1/20:4), PE(18:0/20:3), PC(15:0/18:1), PC(16:1/20:5), and PC(18:0/20:1) in early-stage NSCLC were significantly increased compared with HC (p<0.05). Overall, our study has thus highlighted the power of using comprehensive lipidomic approaches to identify biomarkers and underlying mechanisms in NSCLC.
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页数:16
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