Using a two-way ANOVA with tissue type and gene as factors, the individual tissue gene expression levels of the 84 genes that met the high stringency criterion were compared to identify a statistical interaction effect between the gene and tissue type (S1 Fig); in this analysis, only 7 of the 84 genes had expression levels that were identified to be significantly different between the pancreatic tumor and non-tumor tissue (AGR2, CEAMAN6, GNMT, PDIA2, POSTN, RBPJL, and S100P) (Fig 1B). Here, RBPJL is linked to pancreatic neoplasm.