Exploration and determination of lung cancer targets using multi-omics approaches

Abstract

Multi-omics analysis is a relatively new approach which sets of data are combined for analysis. It integrates the genomic, epigenomic, transcriptomic, proteomic, and metabolomic data from diseased individuals and is capable of comparing the different changes in levels of each identified molecules with the assist of charts and graphs by information technologies, ultimately proposing potential biomarkers and correlations that are possible targets for cancer drugs. Lung cancer, nowadays is the most common cancer being diagnosed worldwide. Thus, lung cancer, amongst the remaining cancer, should not be overlooked. The pathogenesis and treatment of lung cancer is an urgent problem in the medical field that needs to be researched thoroughly. By integrating this new approach to the most common cancer, we try to find more possibilities for targeted drug development. We analyzed the data from the existing database to find out whether the control group and the disease group were up-regulated or down-regulated to analyze some targets, contributing to the development of targeted drugs.