Role of Long Noncoding RNAs in Smoking-Induced Lung Cancer: An In Silico Study

Figure 5

Construction of long noncoding (lnc) RNA models and analysis of their influence on smoking-induced lung cancer prognosis. (a) Cytoscape was used to associate the genes identified in the study with their subsequent expression of lncRNAs. Univariate Cox regression analysis was performed on the expression of lncRNAs for genes positively (b) and negatively (c) associated with smoking in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Multivariate Cox regression analysis was performed on lncRNAs screened by a single factor positive (d) and negative (e) correlation in TCGA and GEO databases. Survival curves for high- and low-risk lncRNAs positively (f) and negatively (g) associated with smoking. values < 0.001 were considered to indicate statistical significance.