This research work focuses on the connection between lung cancer and circadian rhythm. We applied NanoString nCounter® technology to measure gene expression in 5 different histological types of lung cancer, from paraffin-embedded tissue sections. Gene expression analysis of 51 genes, that comprised circadian genes, cell proliferation and cancer markers, on 68 tumor tissues and matching benign samples revealed a unique gene expression signature for each different histological types of lung cancer. These identified signatures, for adenocarcinoma and squamous cell carcinoma of the lung, were confirmed by analysis of publicly available mRNA sequencing data. We used A549 cell line that serves as a model of lung adenocarcinoma to check for gene rhythmicity. Overall, gene expression screening in lung cancer FFPE samples by NanoString and molecular studies help better understand the dysregulation of cellular internal clocks in connection with lung cancer tumorigenesis, which could hopefully lead to application of core clock genes as potential novel biomarkers.