The development of pancreatic cancer (PC) may involve the over-expression of oncogenes, inactivation tumor suppressor genes or the deregulation of various signaling proteins. Thus identification and analysis of transcriptional regulatory relationship as well as protein-protein interaction (PPI) in PC to provide deep insights into the pathogenetic mechanism of pancreatic cancer. In this study, we downloaded the gene expression profile of PC from Gene Expression Omnibus and identified differentially expressed genes (DEGs) in PC patients compared with controls. To further understand how these DEGs act together to account for the initiation of pancreatic cancer, a transcriptional regulatory network was constructed to find the notes for GO function and KEGG pathways annotation, aiming to explore the clusters and pathways in PC. A total of 1,821 transcriptional regulatory relationships were identified. Then, a PPI network was constructed and noted by GO and KEGG, and some special modules, clusters and pathways were identified to involved in PC. Finally, we constructed the transcriptional regulatory network and PPI network of pancreatic cancer. Comparing the pathways involved in Transcriptional regulatory network and PPI network, pathway in cancer, PC, p53 signaling pathway, Hematopoietic cell lineage and graft-versus-host disease co-existed in these two network, so we predict these pathways may play key factors in development of cancer.