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This study aims to facilitate discovery and validation of tests for early detection in subjects at high risk for pancreatic ductal adenocarcinoma (PDAC). and to facilitate the use of state-of-the-art machine learning-based algorithms that utilize databases and images with the purpose of identifying early stages of pancreatic cancer, as well as people at high-risk.The study also aims to provide a platform for development of an interventional protocol for early detection of PDAC.
The goal of this protocol is to collect biospecimens in order to prospectively evaluate diagnostic and prognostic performance of MDMs for detection of advanced neoplasia in pancreatic cysts.
The primary purpose of this study is to select and validate candidate methylated DNA markers (MDMs) (individually and in combined panels) for the detection of pancreative ductal adenocarcinoma (PDAC). The potential complementary value of mutant KRAS and CA19-9 will also be evaluated.
The purpose of this study is to evaluate molecular markers which might be a predictor of pancreatic cancer or precancer by analyzing the secretions (fluid) from a pancreatic cyst, pancreas fluid and tissue from a resected pancreatic cyst.
To optimize pancreatic juice collection methods for use in molecular studies.
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