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(13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism
Breast cancer is the most common cancer in women worldwide. Despite the information provided by anatomopathological assessment and molecular markers (such as receptor expression ER, PR, HER2), breast cancer therapies and prognostics depend on the metabolic properties of tumor cells. However, metabol...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039687/ https://www.ncbi.nlm.nih.gov/pubmed/27678172 http://dx.doi.org/10.1038/srep34251 |
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author | Tea, Illa Martineau, Estelle Antheaume, Ingrid Lalande, Julie Mauve, Caroline Gilard, Francoise Barillé-Nion, Sophie Blackburn, Anneke C. Tcherkez, Guillaume |
author_facet | Tea, Illa Martineau, Estelle Antheaume, Ingrid Lalande, Julie Mauve, Caroline Gilard, Francoise Barillé-Nion, Sophie Blackburn, Anneke C. Tcherkez, Guillaume |
author_sort | Tea, Illa |
collection | PubMed |
description | Breast cancer is the most common cancer in women worldwide. Despite the information provided by anatomopathological assessment and molecular markers (such as receptor expression ER, PR, HER2), breast cancer therapies and prognostics depend on the metabolic properties of tumor cells. However, metabolomics have not provided a robust and congruent biomarker yet, likely because individual metabolite contents are insufficient to encapsulate all of the alterations in metabolic fluxes. Here, we took advantage of natural (13)C and (15)N isotope abundance to show there are isotopic differences between healthy and cancer biopsy tissues or between healthy and malignant cultured cell lines. Isotope mass balance further suggests that these differences are mostly related to lipid metabolism, anaplerosis and urea cycle, three pathways known to be impacted in malignant cells. Our results demonstrate that the isotope signature is a good descriptor of metabolism since it integrates modifications in C partitioning and N excretion altogether. Our present study is thus a starting point to possible clinical applications such as patient screening and biopsy characterization in every cancer that is associated with metabolic changes. |
format | Online Article Text |
id | pubmed-5039687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50396872016-09-30 (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism Tea, Illa Martineau, Estelle Antheaume, Ingrid Lalande, Julie Mauve, Caroline Gilard, Francoise Barillé-Nion, Sophie Blackburn, Anneke C. Tcherkez, Guillaume Sci Rep Article Breast cancer is the most common cancer in women worldwide. Despite the information provided by anatomopathological assessment and molecular markers (such as receptor expression ER, PR, HER2), breast cancer therapies and prognostics depend on the metabolic properties of tumor cells. However, metabolomics have not provided a robust and congruent biomarker yet, likely because individual metabolite contents are insufficient to encapsulate all of the alterations in metabolic fluxes. Here, we took advantage of natural (13)C and (15)N isotope abundance to show there are isotopic differences between healthy and cancer biopsy tissues or between healthy and malignant cultured cell lines. Isotope mass balance further suggests that these differences are mostly related to lipid metabolism, anaplerosis and urea cycle, three pathways known to be impacted in malignant cells. Our results demonstrate that the isotope signature is a good descriptor of metabolism since it integrates modifications in C partitioning and N excretion altogether. Our present study is thus a starting point to possible clinical applications such as patient screening and biopsy characterization in every cancer that is associated with metabolic changes. Nature Publishing Group 2016-09-28 /pmc/articles/PMC5039687/ /pubmed/27678172 http://dx.doi.org/10.1038/srep34251 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tea, Illa Martineau, Estelle Antheaume, Ingrid Lalande, Julie Mauve, Caroline Gilard, Francoise Barillé-Nion, Sophie Blackburn, Anneke C. Tcherkez, Guillaume (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title | (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title_full | (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title_fullStr | (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title_full_unstemmed | (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title_short | (13)C and (15)N natural isotope abundance reflects breast cancer cell metabolism |
title_sort | (13)c and (15)n natural isotope abundance reflects breast cancer cell metabolism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039687/ https://www.ncbi.nlm.nih.gov/pubmed/27678172 http://dx.doi.org/10.1038/srep34251 |
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