(1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer.

ABSTRACT:

Background

Metabolomics has shown promise in gastric cancer (GC) detection. This research sought to identify whether GC has a unique urinary metabolomic profile compared with benign gastric disease (BN) and healthy (HE) patients.

Methods

Urine from 43 GC, 40 BN, and 40 matched HE patients was analysed using (1)H nuclear magnetic resonance ((1)H-NMR) spectroscopy, generating 77 reproducible metabolites (QC-RSD <25%). Univariate and multivariate (MVA) statistics were employed. A parsimonious biomarker profile of GC vs HE was investigated using LASSO regularised logistic regression (LASSO-LR). Model performance was assessed using Receiver Operating Characteristic (ROC) curves.

Results

GC displayed a clear discriminatory biomarker profile; the BN profile overlapped with G

SUBMITTER: Chan AW 

PROVIDER: S-EPMC4716538 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature