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

Joint Authors

Ma, Zhihong
Min, Lishan
Dai, Licheng
Chen, Yingrong
Shen, Xiongrong
Li, Liqin
Zhong, Jing
Xu, Limin
Li, Hongwei
Zhang, Jianbin

Source

BioMed Research International

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-07

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Chen, Yingrong& Ma, Zhihong& Shen, Xiongrong& Li, Liqin& Zhong, Jing& Min, Lishan…[et al.]. 2018. Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer. BioMed Research International،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1127197

Modern Language Association (MLA)

Chen, Yingrong…[et al.]. Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer. BioMed Research International No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1127197

American Medical Association (AMA)

Chen, Yingrong& Ma, Zhihong& Shen, Xiongrong& Li, Liqin& Zhong, Jing& Min, Lishan…[et al.]. Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1127197

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1127197