ITGB6 and pancreatic neoplasm: Wu et al. (2019) screened nine DEGs (MET, KLK10, COL17A1, CEP55, ANKRD22, ITGB6, ARNTL2, MCOLN3, and SLC25A45) through the joint analysis of GEO and TCGA databases and construct a risk score model. They also analyzed the relationship between the nine gene models and tumor immune infiltration. Wei et al. (2019) constructed a risk model to predict the prognosis of pancreatic cancer patients by screening nine immune-related lnRNAs from the TCGA database.