Abstract: The immune infiltrating cells of pancreatic cancer are analyzed to find immunotherapy targets for pancreatic cancer. The weighted gene co-expression network (WGCN) analysis and the CIBERSORT algorithm were used to analyze the gene expression data of pancreatic cancer in the TCGA database to identify the gene modules related to the level of B cell immune infiltration. Nine hub genes (CD79B, MYC, BANK1, TIMELESS, CD19, ATF3, ITGAL, IKZF3 and RRAGB) were identified with the co-expression network and the PPI interaction network analysis. The Timer, Kaplan-Meier and differentially expressed gene analyses showed that ITGAL was highly expressed in B cells and significantly upregulated in pancreatic cancer tissues, and the high expression of ITGAL in pancreatic cancer was significantly correlated with good prognosis.