13C and 15N natural isotope abundance reflects breast cancer cell metabolism
Identifieur interne : 002502 ( Main/Exploration ); précédent : 002501; suivant : 00250313C and 15N natural isotope abundance reflects breast cancer cell metabolism
Auteurs : Illa Tea [France, Australie] ; Estelle Martineau [France] ; Ingrid Antheaume [France] ; Julie Lalande [France] ; Caroline Mauve [France] ; Francoise Gilard [France] ; Sophie Barillé-Nion [France] ; Anneke C. Blackburn [Australie] ; Guillaume Tcherkez [Australie]Source :
- Scientific Reports [ 2045-2322 ] ; 2016.
Abstract
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 13C and 15N 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.
Url:
DOI: 10.1038/srep34251
PubMed: 27678172
PubMed Central: 5039687
Affiliations:
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<front><div type="abstract" xml:lang="en"><p>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 <sup>13</sup>
C and <sup>15</sup>
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.</p>
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</TEI>
<affiliations><list><country><li>Australie</li>
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<name sortKey="Barille Nion, Sophie" sort="Barille Nion, Sophie" uniqKey="Barille Nion S" first="Sophie" last="Barillé-Nion">Sophie Barillé-Nion</name>
<name sortKey="Gilard, Francoise" sort="Gilard, Francoise" uniqKey="Gilard F" first="Francoise" last="Gilard">Francoise Gilard</name>
<name sortKey="Lalande, Julie" sort="Lalande, Julie" uniqKey="Lalande J" first="Julie" last="Lalande">Julie Lalande</name>
<name sortKey="Martineau, Estelle" sort="Martineau, Estelle" uniqKey="Martineau E" first="Estelle" last="Martineau">Estelle Martineau</name>
<name sortKey="Martineau, Estelle" sort="Martineau, Estelle" uniqKey="Martineau E" first="Estelle" last="Martineau">Estelle Martineau</name>
<name sortKey="Mauve, Caroline" sort="Mauve, Caroline" uniqKey="Mauve C" first="Caroline" last="Mauve">Caroline Mauve</name>
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