Purpose Pancreatic cancer is the fourth leading cancer-related mortality disease in the United States, with a five-year survival rate of 11%, and only 10 15% of all pancreatic cancer patients are operable or borderline operable. Therefore, there is an unmet need for early diagnosis of pancreatic cancer; however, biomarkers related to this are not well understood. This study aims to identify biomarkers for the early diagnosis of pancreatic cancer through duodenal pancreatic juice, which can be easily obtained through an endoscopy.
Pancreatic cancer is the fourth leading cancer-related mortality disease in the United States, with a five-year survival rate of 11%, which is a very poor prognosis, and only 10-15% of all pancreatic cancer patients are operable or borderline operable. Therefore, there is an unmet need for early diagnosis of pancreatic cancer; however, the biomarkers of humoral fluids associated with the early diagnosis of pancreatic cancer are not well understood. Duodenal pancreatic fluids can be easily obtained through an endoscopy and contain a large amount of pancreatic fluid secreted by the pancreas, which is known to be a candidate of biomarkers for early diagnosis of pancreatic cancer. However, there have been few studies using duodenal fluids in Korea. This study aims to prospectively analyze biomarkers for early diagnosis of pancreatic cancer using duodenal fluids obtained by endoscopy in pancreatic and non-pancreatic cancer groups.
Study Type
OBSERVATIONAL
Enrollment
263
University of Colorado Hospital
Aurora, Colorado, United States
RECRUITINGCleveland Clinic
Cleveland, Ohio, United States
RECRUITINGAsan Medical Center
Seoul, South Korea
RECRUITINGIdentification of Biomarkers for Early Pancreatic Cancer Detection
Area Under the Receiver Operating Characteristic Curve (AUC) and 95% Confidence Interval (CI) of candidate biomarkers in the training cohort. If the AUC falls within ±5% of the target value (0.94), the optimal cutoff value for pancreatic cancer differentiation will be reported using Youden's Index.
Time frame: Up to 1 year from baseline
External Validation Using U.S. Samples
Area under the ROC curve (AUC) of candidate biomarkers in the U.S. validation cohort using cut-off values derived from the Korean training cohort
Time frame: Up to 2 year from baseline
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