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

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 a...

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Autores principales: Chen, Yingrong, Ma, Zhihong, Shen, Xiongrong, Li, Liqin, Zhong, Jing, Min, Li Shan, Xu, Limin, Li, Hongwei, Zhang, Jianbin, Dai, Licheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106807/
https://www.ncbi.nlm.nih.gov/pubmed/30175133
http://dx.doi.org/10.1155/2018/5276240
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author Chen, Yingrong
Ma, Zhihong
Shen, Xiongrong
Li, Liqin
Zhong, Jing
Min, Li Shan
Xu, Limin
Li, Hongwei
Zhang, Jianbin
Dai, Licheng
author_facet Chen, Yingrong
Ma, Zhihong
Shen, Xiongrong
Li, Liqin
Zhong, Jing
Min, Li Shan
Xu, Limin
Li, Hongwei
Zhang, Jianbin
Dai, Licheng
author_sort Chen, Yingrong
collection PubMed
description 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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spelling pubmed-61068072018-09-02 Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer Chen, Yingrong Ma, Zhihong Shen, Xiongrong Li, Liqin Zhong, Jing Min, Li Shan Xu, Limin Li, Hongwei Zhang, Jianbin Dai, Licheng Biomed Res Int Research Article 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. Hindawi 2018-08-07 /pmc/articles/PMC6106807/ /pubmed/30175133 http://dx.doi.org/10.1155/2018/5276240 Text en Copyright © 2018 Yingrong Chen et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Yingrong
Ma, Zhihong
Shen, Xiongrong
Li, Liqin
Zhong, Jing
Min, Li Shan
Xu, Limin
Li, Hongwei
Zhang, Jianbin
Dai, Licheng
Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title_full Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title_fullStr Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title_full_unstemmed Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title_short Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer
title_sort serum lipidomics profiling to identify biomarkers for non-small cell lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106807/
https://www.ncbi.nlm.nih.gov/pubmed/30175133
http://dx.doi.org/10.1155/2018/5276240
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