Herein, we use a systems-based approach integrating glycomic analysis of the KC mouse model with glycomic and transcriptomic data from human PDAC to identify and probe the functional significance of aberrant glycosylation in pancreatic cancer formation (Scheme 1). The gene discussed is CALCA; the disease is pancreatic neoplasm.