Cigarette smoke has been associated with the development of various lung diseases including cancer. Dysregulation of miRNAs is known to affect protein expression which leads to diverse functional consequences. Investigating miRNA and protein expression in response to cigarette smoke exposure can lead to the identification of potential therapeutic and chemopreventive targets. We employed a SILAC-based quantitative proteomic analysis to identify proteins differentially expressed in response to cigarette smoke in H292 lung cancer cells. LC-MS/MS analysis led to the identification of 3,959 proteins, of which, 303 proteins were overexpressed and 112 proteins were found to be downregulated in cigarette smoke-treated H292 cells.