Discovery of Pancreatic Adenocarcinoma Biomarkers by Untargeted Metabolomics Martín Blázquez, Ariadna Jiménez Luna, Cristina Díaz, Caridad Martínez-Galán, Joaquina Prados Salazar, José Carlos Vicente, Francisca Melguizo Alonso, Consolación Genilloud Rodríguez, Olga Pérez del Palacio, José Caba Pérez, Octavio Metabolomics Pancreatic ductal adenocarcinoma Reverse-phase liquid chromatography Biomarker Diagnosis Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal cancers, with a 5-year survival rate of less than 5%. In fact, complete surgical resection remains the only curative treatment. However, fewer than 20% of patients are candidates for surgery at the time of presentation. Hence, there is a critical need to identify diagnostic biomarkers with potential clinical utility in this pathology. In this context, metabolomics could be a powerful tool to search for new robust biomarkers. Comparative metabolomic profiling was performed in serum samples from 59 unresectable PDAC patients and 60 healthy controls. Samples were analyzed by using an untargeted metabolomics workflow based on liquid chromatography, coupled to high-resolution mass spectrometry in positive and negative electrospray ionization modes. Univariate and multivariate analysis allowed the identification of potential candidates that were significantly altered in PDAC patients. A panel of nine candidates yielded excellent diagnostic capacities. Pathway analysis revealed four altered pathways in our patients. This study shows the potential of liquid chromatography coupled to high-resolution mass spectrometry as a diagnostic tool for PDAC. Furthermore, it identified novel robust biomarkers with excellent diagnostic capacities. 2020-06-12T12:47:18Z 2020-06-12T12:47:18Z 2020-04 info:eu-repo/semantics/article Martín-Blázquez, A., Jiménez-Luna, C., Díaz, C., Martínez-Galán, J., Prados, J., Vicente, F., ... & Caba, O. (2020). Discovery of Pancreatic Adenocarcinoma Biomarkers by Untargeted Metabolomics. Cancers, 12(4), 1002. [doi:10.3390/cancers12041002] http://hdl.handle.net/10481/62454 doi:10.3390/cancers12041002 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI