Abstract: With the rapid development of high-throughput sequencing technology represented by the second generation sequencing technology, whole-genome detection technology has been able to detect data from multiple levels, such as genome, transcriptome and epigenome. Biomass is a complicated regulatory system, involving many levels of complicated regulatory mechanism. Considering the limitation of single omics data analysis in exploring pathogenic factors, integrative multi-omics analysis with linear or nonlinear relationship can provide a new method for the study of the disease. Integrative analysis of multiple omics has widely used in various diseases, including lung cancer, and DNA or gene molecular level is particularly important as a basis for intermolecular correlations and complex networks. Hence, this paper briefly describes integrative analysis of genome, transcriptome and epigenome in lung cancer.