In non-small cell lung cancer patients, the highest accuracy of multivariate classification algorithms was observed when using the five highest-ranked biomarkers (alpha-1 antitrypsin (A1AT), CYFRA 21.1, insulin-like growth factor (IGF-1), regulated upon activation normal T cell expressed and secreted (RANTES), and alpha-fetoprotein (AFP)). This evidence concerns the gene IGF1 and non-small cell lung carcinoma.