Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

Abstract Background Metabolomics has a great potential in the development of new biomarkers in cancer and it has experiment recent technical advances. Methods In this study, metabolomics and gene expression data from 67 localized (stage I to IIIB) breast cancer tumor samples were analyzed, using (1)...

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Bibliographic Details
Main Authors: Lucía Trilla-Fuertes, Angelo Gámez-Pozo, Elena López-Camacho, Guillermo Prado-Vázquez, Andrea Zapater-Moros, Rocío López-Vacas, Jorge M. Arevalillo, Mariana Díaz-Almirón, Hilario Navarro, Paloma Maín, Enrique Espinosa, Pilar Zamora, Juan Ángel Fresno Vara
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Cancer
Subjects:
Breast cancer
Metabolomics
Glutamine metabolism
Computational analyses
Online Access:http://link.springer.com/article/10.1186/s12885-020-06764-x

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http://link.springer.com/article/10.1186/s12885-020-06764-x

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