Colorectal cancer is the most common neoplasm and the second leading cause of cancer death in developed countries. Colorectal cancer (CRC) is considered a heterogeneous and complex disease that comprises different tumor phenotypes.

Our data and other external data sources available as gene ontology, pathways and literature will be combined using a data structure based on network theory to identify relationships between genes and identify new biomarkers.

In this project, the biomarkers identified as relevant to diagnosis, prognosis and/or susceptibility will be validated in independent samples.