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Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities

Cancer cell metabolism has received increasing attention. Despite a boost in the application of clinical metabolic profiling (CMP) in cancer patients, a meta‐analysis has not been performed. The primary goal of this study was to assess whether public accessibility of metabolomics data and identifica...

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Autores principales: Goveia, Jermaine, Pircher, Andreas, Conradi, Lena‐Christin, Kalucka, Joanna, Lagani, Vincenzo, Dewerchin, Mieke, Eelen, Guy, DeBerardinis, Ralph J, Wilson, Ian D, Carmeliet, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048364/
https://www.ncbi.nlm.nih.gov/pubmed/27601137
http://dx.doi.org/10.15252/emmm.201606798
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author Goveia, Jermaine
Pircher, Andreas
Conradi, Lena‐Christin
Kalucka, Joanna
Lagani, Vincenzo
Dewerchin, Mieke
Eelen, Guy
DeBerardinis, Ralph J
Wilson, Ian D
Carmeliet, Peter
author_facet Goveia, Jermaine
Pircher, Andreas
Conradi, Lena‐Christin
Kalucka, Joanna
Lagani, Vincenzo
Dewerchin, Mieke
Eelen, Guy
DeBerardinis, Ralph J
Wilson, Ian D
Carmeliet, Peter
author_sort Goveia, Jermaine
collection PubMed
description Cancer cell metabolism has received increasing attention. Despite a boost in the application of clinical metabolic profiling (CMP) in cancer patients, a meta‐analysis has not been performed. The primary goal of this study was to assess whether public accessibility of metabolomics data and identification and reporting of metabolites were sufficient to assess which metabolites were consistently altered in cancer patients. We therefore retrospectively curated data from CMP studies in cancer patients published during 5 recent years and used an established vote‐counting method to perform a semiquantitative meta‐analysis of metabolites in tumor tissue and blood. This analysis confirmed well‐known increases in glycolytic metabolites, but also unveiled unprecedented changes in other metabolites such as ketone bodies and amino acids (histidine, tryptophan). However, this study also highlighted that insufficient public accessibility of metabolomics data, and inadequate metabolite identification and reporting hamper the discovery potential of meta‐analyses of CMP studies, calling for improved standardization of metabolomics studies.
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spelling pubmed-50483642016-10-19 Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities Goveia, Jermaine Pircher, Andreas Conradi, Lena‐Christin Kalucka, Joanna Lagani, Vincenzo Dewerchin, Mieke Eelen, Guy DeBerardinis, Ralph J Wilson, Ian D Carmeliet, Peter EMBO Mol Med Report Cancer cell metabolism has received increasing attention. Despite a boost in the application of clinical metabolic profiling (CMP) in cancer patients, a meta‐analysis has not been performed. The primary goal of this study was to assess whether public accessibility of metabolomics data and identification and reporting of metabolites were sufficient to assess which metabolites were consistently altered in cancer patients. We therefore retrospectively curated data from CMP studies in cancer patients published during 5 recent years and used an established vote‐counting method to perform a semiquantitative meta‐analysis of metabolites in tumor tissue and blood. This analysis confirmed well‐known increases in glycolytic metabolites, but also unveiled unprecedented changes in other metabolites such as ketone bodies and amino acids (histidine, tryptophan). However, this study also highlighted that insufficient public accessibility of metabolomics data, and inadequate metabolite identification and reporting hamper the discovery potential of meta‐analyses of CMP studies, calling for improved standardization of metabolomics studies. John Wiley and Sons Inc. 2016-09-06 2016-10 /pmc/articles/PMC5048364/ /pubmed/27601137 http://dx.doi.org/10.15252/emmm.201606798 Text en © 2016 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Report
Goveia, Jermaine
Pircher, Andreas
Conradi, Lena‐Christin
Kalucka, Joanna
Lagani, Vincenzo
Dewerchin, Mieke
Eelen, Guy
DeBerardinis, Ralph J
Wilson, Ian D
Carmeliet, Peter
Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title_full Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title_fullStr Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title_full_unstemmed Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title_short Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
title_sort meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048364/
https://www.ncbi.nlm.nih.gov/pubmed/27601137
http://dx.doi.org/10.15252/emmm.201606798
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