RT Journal Article SR Electronic T1 Computational metabolomics hints at the relevance of glutamine metabolism in breast cancer JF bioRxiv FD Cold Spring Harbor Laboratory SP 370221 DO 10.1101/370221 A1 Lucía Trilla-Fuertes A1 Angelo Gámez-Pozo A1 Elena López-Camacho A1 Guillermo Prado-Vázquez A1 Andrea Zapater-Moros A1 Rocío López-Vacas A1 Jorge M Arevalillo A1 Mariana Díaz-Almirón A1 Hilario Navarro A1 Paloma Maín A1 Enrique Espinosa A1 Pilar Zamora A1 Juan Ángel Fresno Vara YR 2019 UL http://biorxiv.org/content/early/2019/07/11/370221.abstract AB 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.