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Pancreatic cancer is an abhorrent malignancy with limited diagnostics and response to drug therapy. It is believed that noncoding RNAs (ncRNAs) will further the understanding behind the mechanisms of pancreatic cancer development and progression, providing a novel approach for drug development and biomarker discovery. Therefore, a database of pancreatic cancer ncRNAs was established using bioinformatics and text mining approaches. These ncRNAs were characterized for RNA expression, copy number variation, disease association, single nucleotide polymorphisms, secretome analysis, and identification of protein targets. Exosomal proteins and ncRNA identified through this study provide the basis for noninvasive diagnostic potential. Additionally, a secreted microRNA, MIR3620, emerged from this study as a potential prognostic and diagnostic biomarker for pancreatic cancer. By analyzing MIR3620 …