Summary of project PR000699

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000699. The data can be accessed directly via it's Project DOI: 10.21228/M8B10B This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR000699
Project DOI:doi: 10.21228/M8B10B
Project Title:1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer
Project Summary: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.
Institute:University of Alberta
Last Name:Broadhurst
First Name:David
Address:270 Joondalup Drive, Joondalup, WA 6027, AUSTRALIA
Email:d.broadhurst@ecu.edu.au
Phone:+61 8 6304 2705
Publications:Chan, A. W., Mercier, P., Schiller, D., Bailey, R., Robbins, S., Eurich, D. T., Sawyer, M. B., Broadhurst, D. (2016). 1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. British Journal of Cancer, 114(1), 59-62. doi:10.1038/bjc.2015.414

Summary of all studies in project PR000699

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ST001047 1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. Homo sapiens University of Alberta NMR 2018-10-10 1 140 Uploaded data (142.9K)
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