In another study, 20 gene characteristics based on TCGA data can predict the OS of NSCLC, combined with a comprehensive analysis of differentially expressed genes in the GEO data set (GSE85841), including four of FUT4, SLC25A42, IGFBP1 and KLHDC8B Genes can predict OS (AUC of prognostic score 20 genes = 0.615, AUC of prognostic score 4 genes = 0.5731)14. The gene discussed is IGFBP1; the disease is non-small cell lung carcinoma.