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Urinary Metabolomics of Gastric Cancer

  • Author / Creator
    Chan, Angela W
  • 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.

  • Subjects / Keywords
  • Graduation date
    2015-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3DB7VZ31
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • School of Public Health
  • Specialization
    • Clinical Epidemiology
  • Supervisor / co-supervisor and their department(s)
    • Sawyer, Michael (Department of Medicine)
    • Eurich, Dean (School of Public Health)
  • Examining committee members and their departments
    • Schiller, Daniel (Department of Surgery)
    • Eurich, Dean (School of Public Health)
    • Bigam, David (Department of Surgery)
    • Broadhurst, David (Department of Medicine)
    • Sawyer, Michael (Department of Medicine)