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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.
Afiliação
  • Chen Y; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Ma Z; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Shen X; Departments of Clinical Pharmacology, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Li L; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Zhong J; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Min LS; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Xu L; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Li H; Cardiothoracic Surgery, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Zhang J; Cardiothoracic Surgery, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
  • Dai L; Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China.
Biomed Res Int ; 2018: 5276240, 2018.
Article em En | MEDLINE | ID: mdl-30175133
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Carcinoma Pulmonar de Células não Pequenas / Metabolismo dos Lipídeos / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Carcinoma Pulmonar de Células não Pequenas / Metabolismo dos Lipídeos / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article