PRACTICAL ONCOLOGY JOURNAL ›› 2019, Vol. 33 ›› Issue (3): 200-205.doi: 10.11904/j.issn.1002-3070.2019.03.002

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Serum metabolomics of small cell lung cancer patients based on UPLC-TOF/MS

ZHANG Jiawen1,YU Yan2,ZHANG Wei1,CAO Jingyan2,LUO Wen1,SHANG Lihua2   

  1. 1.Department of Respiratory,The First Clinical Hospital of Harbin Medical University,Harbin 150001,China;
    2.Department of Respiratory Oncology,Harbin Medical University Cancer Hospital
  • Received:2019-03-05 Revised:2019-04-23 Online:2019-06-20 Published:2019-06-18

Abstract: Objective The Objective of this study was to explore the differences of serum metabolomics between small cell lung cancer(SCLC)patients and healthy volunteers,and to discover serum potential biomarkers for identification and small cell lung cancer staging.Methods Ultra-performance liquid chromatography time of flight mass spectrometry(UPLS-TOF/MS)was used to establish the serum metabolic profile of SCLC.Principal Component Analysis(PCA)and orthogonal hidden variables were analyzed by the EZinfo2.0 software.Orthogonal Partial Least Squares Discriminant Analysis(OPLS-DA)was used to analyze the metabolic differences between the case and normal control groups.Through cluster analysis using HMDB and METLIN database to search for the exact mass-to-charge ratio of the difference,preliminary identification of some substances with significant differences was carried out.Results Ten differential metabolites such as lysophosphatidylcholine between patients and control groups were screened and identified by mass spectrometry and database search.There were 10 different metabolites such as glycocholic acid in the contour analysis of SCLC patients with different stages.Conclusion There is a significant difference in serum metabolism between SCLC patients and healthy controls.The discovery of differential metabolites provides experimental evidence for the identification of small cell lung cancer and potential markers of staging.

Key words: Small lung cancer, Metabolites, Biomarker, UPLC-TOF/MS

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