Identifying the Metabolic “Achilles Heel” of Adult and Childhood Brain Cancers Using LC-MS-based Metabolite Profiling
James A. Wood (1), Richard Grundy (1), David A. Barrett (2), Ruman Rahman (1), Dong-Hyun Kim (2) (1) Children’s Brain Tumour Research Centre, School of Medicine, University of Nottingham, UK. (2) Centre for Analytical Bioscience, Advanced Materials and Healthcare Technologies Division, School of Pharmacy, University of Nottingham, UK.
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Dong-Hyun Kim (Presenter) University of Nottingham
Presenter Bio: Dr Dong-Hyun Kim is an Assistant Professor and Co-Director of Centre for Analytical Bioscience in the School of Pharmacy, the University of Nottingham. His research career has focused on the advancement and application of mass spectrometry (MS)-based metabolomics methods in order to investigate complex biological and/or clinical problems. His role includes coordination of internal and external project work as well as fostering interdisciplinary applications of MS-based analytical techniques. He is also Co-Director of Metabolic Profiling Forum which is a not-for-profit organisation that runs the International Metabomeeting conference series.
Relevant Financial Disclosures
(within past 24 months)
No relevant financial relationship(s) to disclose.
Abstract
Glioblastoma multiforme (GBM) was recently shown to be dependent on extracellular sources of lipids to meet cellular requirements as opposed to de novo biosynthesis. We conducted LC-MS-based metabolomics to characterise the cell metabolome of GBM cell lines cultured under lipoprotein-deficient conditions to replicate nutrient stresses seen in vivo. As a result, cell line-specific metabolite changes were observed calling for the need for integration with transcriptomics data to elucidate genetic drivers of cell line-specific stress responses. This study has highlighted the metabolic dependencies of GBM under nutrient-limiting conditions which will inform on the development of new therapeutic strategies targeting stress responses.
= Discovery stage.
= Translation stage.
= Clinically available.
