REG1A and familial pancreatic carcinoma: In another study, a neural network algorithm was employed to screen 140 datasets of individuals diagnosed with pancreatic cancer, for gene biomarkers in urine samples, namely REG1A/1B, LYVE1, TFF1, and CA19-9.