SLC16A3 and cancer: The ROC curve was utilized for evaluating the diagnostic potential of SLC16A3 in pan-cancer, and based on the resulting data, SLC16A3 demonstrated accuracy (AUC > 0.7) in predicting 16 types of cancer, including BLCA (AUC = 0.742), BRCA (AUC = 0.918), CHOL (AUC = 0.991), ESCA (AUC = 0.905), GBM (AUC = 0.943), HNSC (AUC = 0.834), KICH (AUC = 0.776), KIRC (AUC = 0.958), KIRP (AUC = 0.847), LIHC (AUC = 0.778), LUAD (AUC = 0.808), LUSC (AUC = 0.747), OSCC (AUC = 0.869), STAD (AUC = 0.793), UCEC (AUC = 0.900), and UCS (AUC = 0.891) (Fig. 7A and P).