(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 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.

journal_name

Br J Cancer

authors

Chan AW,Mercier P,Schiller D,Bailey R,Robbins S,Eurich DT,Sawyer MB,Broadhurst D

doi

10.1038/bjc.2015.414

subject

Has Abstract

pub_date

2016-01-12 00:00:00

pages

59-62

issue

1

eissn

0007-0920

issn

1532-1827

pii

bjc2015414

journal_volume

114

pub_type

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