In summary, this study established a diagnostic prediction model including CEA, CYFRAR21-1 and NSE, which assists identification of high-risk population for LC more accurately compared with the model considering TMs individually. This evidence concerns the gene ENO2 and laryngotracheoesophageal cleft.