TY - JOUR T1 - Computational metabolomics hints at the relevance of glutamine metabolism in breast cancer JF - bioRxiv DO - 10.1101/370221 SP - 370221 AU - Lucía Trilla-Fuertes AU - Angelo Gámez-Pozo AU - Elena López-Camacho AU - Guillermo Prado-Vázquez AU - Andrea Zapater-Moros AU - Rocío López-Vacas AU - Jorge M Arevalillo AU - Mariana Díaz-Almirón AU - Hilario Navarro AU - Paloma Maín AU - Enrique Espinosa AU - Pilar Zamora AU - Juan Ángel Fresno Vara Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/07/11/370221.abstract N2 - Metabolomics has a great potential in the development of new biomarkers in cancer. In this study, metabolomics and gene expression data from breast cancer tumor samples were analyzed, using (1) probabilistic graphical models to define associations using quantitative data without other a priori information; and (2) Flux Balance Analysis and flux activities to characterize differences in metabolic pathways. On the one hand, both analyses highlighted the importance of glutamine in breast cancer. Moreover, cell experiments showed that treating breast cancer cells with drugs targeting glutamine metabolism significantly affects cell viability. On the other hand, these computational methods suggested some hypotheses and have demonstrated their utility in the analysis of metabolomics data and in associating metabolomics with patient’s clinical outcome. ER -