Fig. 2

Identification of overlapped genes responsible for the progression of PDAC. (A-B) Venn diagram of DEGs identified in the RNA-seq analysis of this study and in previous microarray studies of PDAC versus non-tumor controls. Overlapping upregulated (A) and downregulated (B) DEGs across multiple platforms are shown. (C) Venn diagram of the identified DEGs and the Top 100 overall survival-related genes in PDAC. Five most significant potential oncogenes were identified: MYEOV, KCNN4, FAM83A, S100A16, and DDX60L. (D) Expression of five significant potential oncogenes in PDAC tissues of the GEPIA database. One-way ANOVA is used to analyze significant differences in the gene expression levels between PDAC normal tissues and cancer tissues. *represents significant differences in RNA expression, p < 0.01. DDX60L, DExD/H-box 60 like; DEGs, differentially-expressed genes; FAM83A, family with sequence similarity 83 member A; GEPIA, Gene Expression Profiling Interactive Analysis; KCNN4, potassium calcium-activated channel subfamily N member 4; MYEOV, myeloma overexpressed; PDAC, pancreatic ductal adenocarcinoma; RNA-seq, RNA sequencing; S100A16, S100 calcium binding protein A16