Among our main lines of research, we focus on deciphering the fundamental processes that drive the development and progression of pancreatic cancer, with the purpose of identifying vulnerabilities that can be exploited to develop new therapeutic strategies.   

In this context, we approach this disease in a comprehensive manner, analyzing both the specific processes of the tumor cell and its interaction with the micro environment. Our aim is to identify new therapeutic targets that allow us to intervene more effectively in these key mechanisms. To this end, we use an integrative approach that combines experimental and computational tools.   

At the experimental level, we employ advanced technologies based on omics techniques and preclinical models to investigate the molecular mechanisms that drive tumor progression. In parallel, we perform multiple types of bioinformatics analyses and develop computational predictive models to identify biomarkers and targets with clinical potential.   

This multidisciplinary approach allows us to efficiently generate and validate hypotheses by integrating data obtained in the laboratory with in silico analyses. This broadens our understanding of pancreatic cancer and facilitates the development of innovative and personalized therapeutic strategies.