Discovery of Pancreatic Adenocarcinoma Biomarkers by Untargeted Metabolomics
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AuthorMartín 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, Octavio
MetabolomicsPancreatic ductal adenocarcinomaReverse-phase liquid chromatographyBiomarkerDiagnosis
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]
SponsorshipThis research was funded by JUNTA DE ANDALUCIA, grant number PIN-0474-2016 and PC-0549-2017 and INSTITUTO DE SALUD CARLOS III (FEDER), grant number DTS17/00081.
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.