Therefore, we used the LASSO for feature selection and development of a model that identified a combined expression pattern of 17 genes (KANK2, CLEC4D, ADRB2, CRYAB, NR4A1, CMTM5, ZBTB16, ACTC1, RAD51, KIF23, SYNE3, CLEC4E, CDKN2A, EGLN3, KIF14, RECQL4, and CDH1) and their associated coefficients as a robust predictor of NSCLC. This evidence concerns the gene RECQL4 and non-small cell lung carcinoma.