We consider that in order for a tumor to be diagnosed as PAAD the sample should pass the anomaly detection filter, receive a prediction with a probability ≥ 0.8 from the neural network classifier, and additionally, the diagnosis should be supported by at least one of the following: (a) clinical history of PAAD, (b) matching imaging data, (c) mutational data suggesting the diagnosis, or (d) IHC suggesting the diagnosis of PAAD: SMAD4 loss and or ANXA10 overexpression. This evidence concerns the gene ANXA10 and pancreatic adenocarcinoma.