13C and 15N natural isotope abundance reflects breast cancer cell metabolism

被引:25
作者
Tea, Illa [1 ,2 ]
Martineau, Estelle [1 ,3 ]
Antheaume, Ingrid [1 ]
Lalande, Julie [1 ]
Mauve, Caroline [4 ]
Gilard, Francoise [4 ]
Barille-Nion, Sophie [5 ]
Blackburn, Anneke C. [2 ]
Tcherkez, Guillaume [6 ]
机构
[1] Univ Nantes, CEISAM, EBSI Team, CNRS UMR 6230, 2 Rue Houssiniere BP 92208, F-44322 Nantes, France
[2] Australian Natl Univ, John Curtin Sch Med Res, Canc Metab & Genet Grp, Canberra, ACT 2601, Australia
[3] CAPACITES SAS, Spectromaitrise, 26 Bd Vincent Gache, F-44200 Nantes, France
[4] Univ Paris Sud, Plateforme Metab Metabolome, Batiment 630 IPS2, F-91405 Orsay, France
[5] Univ Nantes, Inst Rech Sante, CRCNA, UMR INSERM U892 CNRS 6299,Team Cell Survival & Tu, 8 Quai Moncousu,BP 70721, F-44007 Nantes 1, France
[6] Australian Natl Univ, Res Sch Biol, Canberra, ACT 2601, Australia
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
澳大利亚研究理事会;
关键词
CARBON ISOTOPES; AMINO-ACIDS; NITROGEN; DIET; TISSUE; SYNTHETASE; ARGINASE; VALUES; CO2;
D O I
10.1038/srep34251
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 C-13 and N-15 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.
引用
收藏
页数:9
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