The results showed that CLDN6 had a certain accuracy (AUC > 0.7) in predicting 15 cancer types, including ACC (AUC = 0.759) (Figure 5A), BRCA (AUC = 0.713) (Figure 5B), CHOL (AUC = 0.889) (Figure 5C), ESCA (AUC = 0.825) (Figure 5D), GBM (AUC = 0.707) (Figure 5E), HNSC (AUC = 0.729) (Figure 5F), KICH (AUC = 0.896) (Figure 5G), KIRC (AUC = 0.807) (Figure 5H), LGG (AUC = 0.706) (Figure 5I), THYM (AUC = 0.802) (Figure 5J), STAD (AUC = 0.779) (Figure 5K), LAML (AUC = 0.935) (Figure 5L), TGCT (AUC = 0.994) (Figure 5M), OC (AUC = 0.996) (Figure 5N), and UCS (AUC = 0.980) (Figure 5O). This evidence concerns the gene BGLAP and cancer.