Download the full-sized PDF of Urinary Metabolomics of Gastric CancerDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Urinary Metabolomics of Gastric Cancer Open Access


Other title
biomarker discovery
gastric cancer
Type of item
Degree grantor
University of Alberta
Author or creator
Chan, Angela W
Supervisor and department
Eurich, Dean (School of Public Health)
Sawyer, Michael (Department of Medicine)
Examining committee member and department
Schiller, Daniel (Department of Surgery)
Broadhurst, David (Department of Medicine)
Bigam, David (Department of Surgery)
Sawyer, Michael (Department of Medicine)
Eurich, Dean (School of Public Health)
School of Public Health
Clinical Epidemiology
Date accepted
Graduation date
Master of Science
Degree level
Gastric cancer is an aggressive malignancy. Much of the mortality is attributable to delayed diagnosis from non-specific symptoms, and lack of early and accurate screening modalities. Metabolomics, the most downstream of the “omics” sciences (genomics, transcriptomics, proteomics) is the latest tool to join the diagnostic armamentarium. The transformation from normalcy to malignancy is accompanied by a series of aberrant biochemical and metabolic alterations. Through detection of metabolites from such pathways, metabolomics may offer potential for early and non-invasive detection of gastric cancer. Hydrogen nuclear magnetic resonance spectroscopy was used as the analytical platform to explore the urinary metabolomic profile of patients with gastric cancer, in comparison to patients with benign gastric disease and healthy controls who were age, sex and body mass index matched. On multivariate statistical analysis, gastric cancer individuals had a discrete urinary metabolomic signature that was clearly distinguishable from healthy patients, and a subset of benign gastric disease individuals, namely those with chronic gastritis and ulcers. LASSO logistic regression generated a parsimonious model with three metabolites (alanine, 2-hydroxyisobutyrate, 3-indoxylsulfate) that discriminated gastric cancer from healthy controls with high accuracy, sensitivity and specificity. These preliminary results suggest that there is clinical potential for metabolic profiling for gastric cancer detection; however, future studies will be required to validate these findings.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
"Potential role of metabolomics in diagnosis and surveillance of gastric cancer,” World Journal of Gastroenterology, volume 20, issue 36, 12874-12882.

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (PDF/A)
Mime type: application/pdf
File size: 3612508
Last modified: 2016:06:24 17:53:15-06:00
Filename: Chan_Angela_W_201507_MSc.pdf
Original checksum: 633cab6b0178fd86eb57b15d34f19f5d
Activity of users you follow
User Activity Date