Li S, et al. - Since lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide, researchers sought predictive biomarkers for early diagnosis or identifying patients at high risk of poor survival. They carried out RNA-sequencing on LUAD affected tissue and paired adjacent to noncancerous tissue samples. Using Gene Expression Omnibus dataset GSE19188 and GSE33532, they obtained an intersection of differential expressed genes and constructed a protein–protein interaction network to get hub genes. In this study, they identified eight candidate genes (DLGAP5, KIF11, RAD51AP1, CCNB1, AURKA, CDC6, OIP5 and NCAPG) which showed a close association with survival in LUAD. They noted that the identified mRNA signature including eight genes could serve as a potential prognostic marker of LUAD. They also obtained validation for the predictive value of the signature in LUAD patients at their hospital.