In the training set, a nomogram was developed by using the package of rms on the basis of a multivariable logistic regression model with a combination of all potential variables, including sex, age, height, weight, history of cancers, family history of cancers, history of other lung diseases, smoking history (measured by pack-year), clinical stage, clinical T stage, clinical N stage, tumor size, tumor location, central location, CEA, and SCC. This evidence concerns the gene CEACAM5 and cancer.