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1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer
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1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer
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Journal Article
1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer
2016
Overview
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 GC and HE. LASSO-LR identified three discriminatory metabolites: 2-hydroxyisobutyrate, 3-indoxylsulfate, and alanine, which produced a discriminatory model with an area under the ROC of 0.95.
Conclusions:
GC patients have a distinct urinary metabolite profile. This study shows clinical potential for metabolic profiling for early GC diagnosis.
Publisher
Nature Publishing Group UK,Nature Publishing Group
