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Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers
Brain tumours are the most common cause of cancer death in children. Molecular studies have greatly improved our understanding of these tumours but tumour metabolism is underexplored. Metabolites measured in vivo have been reported as prognostic biomarkers of these tumours but analysis of surgically...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642141/ https://www.ncbi.nlm.nih.gov/pubmed/31324817 http://dx.doi.org/10.1038/s41598-019-45900-x |
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author | Bennett, Christopher D. Gill, Simrandip K. Kohe, Sarah E. Wilson, Martin P. Davies, Nigel P. Arvanitis, Theodoros N. Tennant, Daniel A. Peet, Andrew C. |
author_facet | Bennett, Christopher D. Gill, Simrandip K. Kohe, Sarah E. Wilson, Martin P. Davies, Nigel P. Arvanitis, Theodoros N. Tennant, Daniel A. Peet, Andrew C. |
author_sort | Bennett, Christopher D. |
collection | PubMed |
description | Brain tumours are the most common cause of cancer death in children. Molecular studies have greatly improved our understanding of these tumours but tumour metabolism is underexplored. Metabolites measured in vivo have been reported as prognostic biomarkers of these tumours but analysis of surgically resected tumour tissue allows a more extensive set of metabolites to be measured aiding biomarker discovery and providing validation of in vivo findings. In this study, metabolites were quantified across a range of paediatric brain tumours using (1)H-High-Resolution Magic Angle Spinning nuclear magnetic resonance spectroscopy (HR-MAS) and their prognostic potential investigated. HR-MAS was performed on pre-treatment frozen tumour tissue from a single centre. Univariate and multivariate Cox regression was used to examine the ability of metabolites to predict survival. The models were cross validated using C-indices and further validated by splitting the cohort into two. Higher concentrations of glutamine were predictive of a longer overall survival, whilst higher concentrations of lipids were predictive of a shorter overall survival. These metabolites were predictive independent of diagnosis, as demonstrated in multivariate Cox regression models. Whilst accurate quantification of metabolites such as glutamine in vivo is challenging, metabolites show promise as prognostic markers due to development of optimised detection methods and increasing use of 3 T clinical scanners. |
format | Online Article Text |
id | pubmed-6642141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66421412019-07-25 Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers Bennett, Christopher D. Gill, Simrandip K. Kohe, Sarah E. Wilson, Martin P. Davies, Nigel P. Arvanitis, Theodoros N. Tennant, Daniel A. Peet, Andrew C. Sci Rep Article Brain tumours are the most common cause of cancer death in children. Molecular studies have greatly improved our understanding of these tumours but tumour metabolism is underexplored. Metabolites measured in vivo have been reported as prognostic biomarkers of these tumours but analysis of surgically resected tumour tissue allows a more extensive set of metabolites to be measured aiding biomarker discovery and providing validation of in vivo findings. In this study, metabolites were quantified across a range of paediatric brain tumours using (1)H-High-Resolution Magic Angle Spinning nuclear magnetic resonance spectroscopy (HR-MAS) and their prognostic potential investigated. HR-MAS was performed on pre-treatment frozen tumour tissue from a single centre. Univariate and multivariate Cox regression was used to examine the ability of metabolites to predict survival. The models were cross validated using C-indices and further validated by splitting the cohort into two. Higher concentrations of glutamine were predictive of a longer overall survival, whilst higher concentrations of lipids were predictive of a shorter overall survival. These metabolites were predictive independent of diagnosis, as demonstrated in multivariate Cox regression models. Whilst accurate quantification of metabolites such as glutamine in vivo is challenging, metabolites show promise as prognostic markers due to development of optimised detection methods and increasing use of 3 T clinical scanners. Nature Publishing Group UK 2019-07-19 /pmc/articles/PMC6642141/ /pubmed/31324817 http://dx.doi.org/10.1038/s41598-019-45900-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bennett, Christopher D. Gill, Simrandip K. Kohe, Sarah E. Wilson, Martin P. Davies, Nigel P. Arvanitis, Theodoros N. Tennant, Daniel A. Peet, Andrew C. Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title | Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title_full | Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title_fullStr | Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title_full_unstemmed | Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title_short | Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
title_sort | ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642141/ https://www.ncbi.nlm.nih.gov/pubmed/31324817 http://dx.doi.org/10.1038/s41598-019-45900-x |
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