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Although intraductal papillary mucinous neoplasms (IPMNs) represent potential precursors of pancreatic cancer, IPMNs with invasive cancer are rare. Based on current risk factors for malignancy, overtreatment (surgery) of benign IPMNs remains a critical issue, with its associated risk of postoperative and long-term complications. Identification of biomarkers that could predict malignancy in IPMNs is an unmet clinical need. Environmental, lifestyle, genetics and metabolic factors may play a role in IPMNs carcinogenesis. Aims of the study are: 1) to analyze exposome, somatic/germline genetic variability, metabolomics and transcriptome profile in order to identify new biomarkers; 2) to use nonparametric epidemiologic approaches and machine learning algorithms to compute a progression score to offer clinicians an innovative tool towards the goal of a personalized medicine approach. In order
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