Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659185
Title: Investigating the metabolism of breast cancer cells using 1H-NMR based metabonomics
Author: Charalambous, Michalis
Awarding Body: University of Leeds
Current Institution: University of Leeds
Date of Award: 2013
Availability of Full Text:
Access through EThOS:
Abstract:
Background There are complex metabolic processes occurring in normal, benign and malignant breast cells. To date, there have been relatively few NMR and metabonomic studies investigating these processes in either cultured breast cells or in human biofluids. Aims To develop a combination method of harvesting and lysing cultured breast cells without using any chemicals, which may affect their metabolism, and to determine and compare the metabolic profile of MCF-7 and MCF_7MMU-2 human breast cancer cells by 1 H-NMR spectroscopy and metabonomics. A second aim was to collect and compare by 1 H-NMR-based metabonomics, plasma and urine from women with breast cancer and from healthy controls, in order to determine whether there are any metabolites in these biofluids which differ between the two groups. Methods A series of experiments was performed to optimise a combination method of harvesting and lysing cultured malignant and normal breast cells for 1H-NMR analysis, without using any chemicals. This method was subsequently used to determine the metabolic profile of four different breast cell lines (MCF-7, MCF_7MMU- 2, MDA-MB-231, and HB2), and compare the metabolic profile of MCF-7 and MCF- 7MMU-2 cells. Following ethical approval by the local' Research Ethics Committee (REC), plasma and urine samples were obtained from 41 post-menopausal women with newlydiagnosed breast cancer, and 30 healthy post-menopausal controls. The plasma and urine samples were analysed by 1 H-NMR spectroscopy, and their spectral profiles subjected to Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) for multivariate statistics.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (M.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.659185  DOI: Not available
Share: