In this report, we analyzed how the profile of gene over-expression is affected by staging in lung squamous cell carcinoma. We found 23, 62 and 169 genes differentially expressed in stages I, II and III. We also validaded previously reported biomarkers for lung cancer diagnosis (ERCC1, AURKA, TPX2, BIRC5, MET, KLK10, TOP2A, PCNA, KRAS, CCNB1, CEP55, TP53, EGFR, CHEK1, CCNB2, RRM1, CDK1, MCC, UBE2C, AURKB, EXT1, PYCR1). All together, this short report points to the fact lung cancer transcriptome is a potential source for studying tumor staging and progression.