Although many genes and
miRNAs have been reported for various
cancers, pancreatic cancer's specific genes or
miRNAs have not been studied precisely yet. Therefore, we have analyzed the gene and
miRNA expression profile of
pancreatic cancer data in the gene expression omnibus (GEO) database. The microarray-derived
miRNAs and mRNAs were annotated by gene ontology (GO) and signaling pathway analysis. We also recognized mRNAs that were targeted by
miRNA through the mirDIP database. An integrated analysis of the microarray revealed that only 6 out of 43 common
miRNAs had significant differences in their expression profiles between the
tumor and normal groups (P value < 0.05 and |log Fold Changes (logFC)|> 1). The
hsa-miR-210 had upregulation, whereas hsa-miR-375,
hsa-miR-216a,
hsa-miR-217, hsa-miR-216b and
hsa-miR-634 had downregulation in
pancreatic cancer (PC). The analysis results also revealed 109 common mRNAs by microarray and mirDIP 4.1 databases. Pathway analysis showed that
amoebiasis, axon guidance, PI3K-Akt signaling pathway, absorption and focal adhesion, adherens junction, platelet activation, protein digestion,
human papillomavirus infection, extracellular matrix (ECM) receptor interaction, and
riboflavin metabolism played important roles in
pancreatic cancer. GO analysis revealed the significant enrichment in the three terms of biological process, cellular component, and molecular function, which were identified as the most important processes associated strongly with
pancreatic cancer. In conclusion, DTL, CDH11, COL5A1, ITGA2, KIF14, SMC4, VCAN,
hsa-mir-210,
hsa-mir-217,
hsa-mir-216a, hsa-mir-216b, hsa-mir-375 and
hsa-mir-634 can be reported as the novel diagnostic or even therapeutic markers for the future studies. Also, the
hsa-mir-107 and hsa-mir-125a-5p with COL5A1, CDH11 and
TGFBR1 genes can be introduced as major
miRNA and genes on the
miRNA-
drug-
mRNA network. The new regulatory network created in our study could give a deeper knowledge of the
pancreatic cancer.