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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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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. |
format | Online Article Text |
id | pubmed-5048364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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