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

Document Type

Journal Article


Nature Publishing Group


School of Science




Originally published as: Chan, A.W., Mercier, P., Schiller, D., Bailey, R., Robbins, S., Eurich, D.T., Sawyer, M.B. and Broadhurst, D. (2016). 1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. British Journal of Cancer, 114, pp. 59-62. Original article available here.


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 1H nuclear magnetic resonance (1H-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.