A clinical metabolomics-based biomarker signature as an approach for early diagnosis of gastric cardia adenocarcinoma.

ABSTRACT: Gastric cardia adenocarcinoma (GCA) has a high mortality rate worldwide; however, current early diagnostic methods lack efficacy. Therefore, the aim of the present study was to identify potential biomarkers for the early diagnosis of GCA. Global metabolic profiles were obtained from plasma samples collected from 21 patients with GCA and 48 healthy controls using ultra-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry. The orthogonal partial least squares discrimination analysis model was applied to distinguish patients with GCA from healthy controls and to identify potential biomarkers. Metabolic pathway analysis was performed using MetaboAnalyst (version 4.0) and revealed that 'glycerophospholipid metabolism', 'linoleic acid metabolism', 'fatty acid biosynthesi

SUBMITTER: Sun Y 

PROVIDER: S-EPMC6924188 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature