The Computational Oncology lab at CNIO is developing approaches to tackle some of the deadliest cancers by targeting the causes of chromosomal instability. Pancreatic, esophageal, lung and ovarian cancers have the lowest survival rates, but they also share a common trait which we can exploit – extreme chromosomal instability. By therapeutically targeting chromosomal instability, we aim to improve outcomes in these tumours.

We are using single cell sequencing and computational approaches to identify different types of chromosomal instability and match them with targeted therapies. We are applying this technology at the earliest stages of tumour development in patients so that we can prevent the development of aggressive, difficult to treat cancers.