Further analysis revealed that, for the exhaustive list of all possible models consisting of 8 lung cancer autoantibodies among the 12 markers, the 8 lung cancer autoantibodies, targeting ZNF573, BRAF, TM4SF1, SOX2, MAGE.A4, BMI1, FXR1, and HuC respectively, were most frequently used out of the top 50 models in terms of AUC based on 5-fold cross-validation. Here, MAGEA4 is linked to lung cancer.