FIG 2.

Importance of clinical and genomic features selected in profiles of patients with lung cancer (n = 102) and their correlation. (A) Top, feature importance in multivariate Cox models (percentage of the Wald statistics); bottom, total importance for each feature group. (B) A node represents a feature, and its size is proportional to significance of univariate Cox model (P < .05). A line represents significant correlation of a pair of features (P < .05), and its width is proportional to significance. Features are highlighted with border and shape according to univariate and multivariate Cox HR, respectively. (C) Risk score and clinical and genomic phenotypes of patients with lung cancer. (D) Relations of risk score with important prognostic features. Risk is associated with age (linear correlation r = 0.58). Higher mutation burden on TP53 is associated with higher risk for OS. LCNEC and MAF mutations are associated with lower risk for DFS. (E) Kaplan-Meier curves of survival groups for high- and low risk patients, categorized by the median risk score. *P < .05, **P < .01, ***P < .001. DFS, disease-free survival; HR, hazard ratio; LCNEC, large cell neuroendocrine carcinoma; OS, overall survival; SCLC, small cell lung cancer.