The serum metabolome and breast cancer risk
department or school: Medicine, Faculty of
department or school: Population and Public Health (SPPH), School of
data provider: DSpace
degree campus: UBCV
creator: Trinh, Huong Ly
issued: 2024-05-03T08:19:52Z
issued: 2024
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Background: Metabolomics offers a promising approach to identifying biomarkers for timely intervention and enhanced screening for individuals at risk of breast cancer. In this nested case-control study, we used self-reported risk factors and prospectively collected blood samples to identify metabolites associated with breast cancer and develop predictive models to assess population risk profiles. Methods: Participants from two Canadian prospective cohorts, BC Generations Project and Alberta’s Tomorrow Project, completed baseline health and lifestyle questionnaires and donated blood samples at enrollment. 593 women who subsequently developed breast cancer cases were matched one-to-one with healthy controls based on cohort, age at blood collection, time of blood collection, and menopause status. Quadrupole time-of-flight mass spectrometry was used for untargeted metabolomics profiling of baseline serum samples. Logistic regression was used to estimate odds ratios corresponding to a one standard deviation increase of metabolite levels after adjusting for matching variables and selected health and lifestyle risk factors. Associations were also assessed for matched pairs with postmenopausal cancer, invasive ductal carcinoma, and hormone receptor-positive cancer. Five classifiers – lasso, random forest (RF), and partial least squares discriminant analysis (PLS-DA), and support vector machines (SVMs) with linear and radial basis functions – were used to develop risk prediction models. Results: 24 metabolites were significantly associated with risk of developing breast cancer, including 13 associated with decreased risk and 11 associated with increased risk. No associations were attenuated by more than 10% when adjusted for risk factors. Among the 24 metabolites, associations with postmenopausal breast cancer, invasive ductal carcinoma, and ER+/PR+ breast cancer were found for 10, 10, and 4 metabolites, respectively. Prediction models using these metabolites had moderate di…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/88168
note: THE SERUM METABOLOME AND BREAST CANCER RISK by Huong Ly Trinh B.A., Saint Olaf College, 2018 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Population and Public Health) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) April 2024 © Huong Ly Trinh, 2024 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the thesis entitled: The Serum Metabolome and Breast Cancer Risk submitted by Huong Ly Trinh in partial fulfilment of the requirements for the degree of Master of Science in Population and Public Health Examining Committee: Dr. Parveen Bhatti, Associate Professor, School of Population and Public Health, UBC Supervisor Dr. Andrew Roth, Assistant Professor, Departments of Computer Science and Pathology and Laboratory Medicine, UBC Supervisory Committee Member Dr. Rachel Murphy, Associate Professor, School of Population and Public Health, UBC Supervisory Committee Member Dr. Amee Manges, Professor, School of Population and Public Health, UBC Additional Examiner iii Abstract Background: Metabolomics offers a promising approach to identifying biomarkers for timely intervention and enhanced screening for individuals at risk of breast cancer. In this nested case-control study, we used self-reported risk factors and prospectively collected blood samples to identify metabolites associated with breast cancer and develop predictive models to assess population risk profiles. Methods: Participants from two Canadian prospective cohorts, BC Generations Project and Alberta’s Tomorrow Project, completed baseline health and lifestyle questionnaires and donated blood samples at enrollment. 593 women who subsequently developed breast cancer cases were matched one-to-one with healthy controls based on cohort, age at blood collection, time of blood collection, and menopause status. Quadrupole time-of-f…
has type: Thesis/Dissertation
date issued: 2024-11
is shown at: 10.14288/1.0442101
language: eng
degree discipline: Population and Public Health
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Bhatti, Parveen
type: Text
identifier URI: http://hdl.handle.net/2429/88168