Epigenomic and Machine Learning Models to Predict Pancreatic Cancer

Inclusion Criteria: * 1st degree healthy/asymptomatic relatives of patients with exocrine pancreatic cancer, where the patient satisfies one OR more of the following conditions: * was diagnosed with pancreatobiliary cancer \<50 years of age; * was diagnosed with pancreatobiliary cancer \>50 years of age AND personal history of any of the following cancers: Breast cancer, Ovarian, fallopian tube or primary peritoneal cancer, Melanoma, Colorectal cancer, Endometrial cancer, Prostate cancer, Oesophagogastric cancer, Urinary tract cancer, Small bowel cancer, Brain tumour, Sebaceous skin tumour; * was confirmed diagnosis of any of the following conditions in the family: Hereditary Breast and Ovarian Cancer, Peutz-Jeghers syndrome, hereditary pancreatitis, Lynch Syndrome, Familial Atypical Multiple Mole Melanoma Syndrome; * significant family history in first degree relatives for cancer (e.g. two or more cancers in one individual or the same cancer in more individuals; * a single 1st degree relative with pancreatic cancer; * being a patient alive after 5 years from diagnosis (cancer free or currently treated). * Cancer free at the time of enrollment; Exclusion Criteria: * Individuals with comorbidities that adversely influence their ability to tolerate the screening procedures or the screen-detected findings, or tolerate treatment of an early- stage screen-detected cancer, or that limit their life expectancy. * Subjects already diagnosed with cancer currently in tre…