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Of these, 3 promoters were specific to the analysis for the detection of chronic pancreatitis in normal samples (Table 2). When comparing chronic pancreatitis http://www.selleck.cn/products/bgj398-nvp-bgj398.html and pancreatic cancer, 14 gene promoters were selected >75% of the time in the random training process (Table 3). Nine of the 14 gene promoters were specific to chronic pancreatitis. The results of the biomarker selection are presented as 2 �� 2 contingency tables (Tables 4 and 5). A sensitivity of 78% for chronic pancreatitis (Table 4) was determined according to the percentage of correctly detected chronic pancreatitis samples in the 25-round, 5-fold cross-validation. In addition, the cross-validation had a specificity of 81.7% for normal samples. When chronic pancreatitis samples were compared with pancreatic cancer samples, the naive Bayes classifier produced a sensitivity of 91.2% and a specificity of 90.8% for cancer (Table 5). Testing in an independent cohort of patients is considered the gold standard for biomarker validation. This standard was difficult to reach during the development phase for a rare disease like as pancreatic cancer. It is significant that the developed biomarker produced an observed sensitivity of 81.7% with a 95% confidence interval of 67.3% to 90.6% (control vs chronic pancreatitis). To validate the biomarker and avoid over fitting during model building, we used a statistical technique of cross-validation (25 rounds of 5-fold cross-validation), which http://www.selleckchem.com/products/gsk1120212-jtp-74057.html reportedly reduced potential bias and produced better accuracy than the individual train-and-test (holdout) method.25, 26 Results of cross-validation (Tables 4 and 5) indicated that our biomarkers were reliable to the extent possible without a full-scale clinical trial. Smoking, diabetes, race, chronic pancreatitis, and heredity all are risk factors for pancreatic cancer. Numerous genes have been implicated in the development of pancreatic cancer. Many of these are cell cycle regulators, tumor suppressors, and oncogenes. Breast cancer 1 (BRCA1), BRCA2, and p16/cyclin-dependent kinase 2A (CDKN2A) http://www.selleckchem.com/products/Bortezomib.html are only a few of the genes responsible for hereditary factors, but