Consequently, the top five genes predicted by XGBoost (RIF1, GDPD5, DBNDD1, RCCD1, and CLDN5), along with five intersection genes (ASCL2, IFITM3, IFITM1, SMPDL3A, and SUCLG2) that showed differential expression in the GSE87211 dataset, were used to construct the colorectal cancer genetic diagnostic model (Figure 2D). The gene discussed is SUCLG2; the disease is colorectal cancer.