An Exosome-based and Machine-learning-powered Liquid Biopsy for Pancreatic Cancer Early-detection and Disease Monitoring
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy characterized by an asymptomatic early phase, late diagnosis, and poor survival, particularly in individuals who develop disease outside the context of early-stage detection. Early detection strategies are currently limited to imaging-based surveillance (MRI and endoscopic ultrasound) in selected high-risk populations, but these approaches are invasive, costly, and suboptimal in sensitivity. The aim of this study is to evaluate circulating cell-free and exosome-bound microRNAs as non-invasive biomarkers of PDAC risk and disease biology
• Adult men or women aged ≥18 years at the time of plasma sample collection.
• Classification as at increased risk for pancreatic ductal adenocarcinoma (PDAC) due to familial pancreatic cancer or hereditary pancreatic cancer syndrome
• Classification as at increased risk for pancreatic ductal adenocarcinoma (PDAC) due to the presence of one (or more) mucinous pancreatic cystic lesion(s).
• Availability of stored plasma samples collected as part of routine clinical care or surveillance and archived in the institutional biobank.
• Availability of relevant clinical and demographic data in institutional medical records sufficient to address study objectives.
• Prior provision of informed consent for biobanking and research use of biological samples and data