Global metabolomics reveals potential urinary biomarkers of esophageal squamous cell carcinoma for diagnosis and staging.

ABSTRACT: We performed a metabolomics study using liquid chromatography-mass spectrometry (LC-MS) combined with multivariate data analysis (MVDA) to discriminate global urine profiles in urine samples from esophageal squamous cell carcinoma (ESCC) patients and healthy controls (NC). Our work evaluated the feasibility of employing urine metabolomics for the diagnosis and staging of ESCC. The satisfactory classification between the healthy controls and ESCC patients was obtained using the MVDA model, and obvious classification of early-stage and advanced-stage patients was also observed. The results suggest that the combination of LC-MS analysis and MVDA may have potential applications for ESCC diagnosis and staging. We then conducted LC-MS/MS experiments to identify the potential biomarkers with larg

SUBMITTER: Xu J 

PROVIDER: S-EPMC5057114 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature