Construction of Prognostic Risk Model for Small Cell Lung Cancer Based on Immune-Related Genes

Figure 3

Construction of a prognostic risk assessment model for SCLC patient. (a) Trajectory plot of the gene coefficients with the increasing log (λ) value in the Lasso model. (b) The optimal log (λ) was selected according to the partial likelihood deviance in the Lasso model. (c) Forest plot of 7 genes obtained from multivariate Cox regression analysis. (d) ROC curves of the GSE60052 data sample risk score in both groups. (e) Survival analysis of GSE60052 dataset by the Riskscore model. (f) Distribution of scores, (g) survival status, and (h) the heatmap of 7 genes in both groups.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)