A Risk Signature with Nine Stemness Index-Associated Genes for Predicting Survival of Patients with Uterine Corpus Endometrial Carcinoma

Figure 3

Construction of the risk signature in the training cohort. (a) The LASSO model was adjusted based on the minimum criteria (regularization parameter λ). The partial likelihood deviance calculated by LASSO regression cross-validation is plotted as a function of log (λ). The ordinate represents the partial likelihood deviation, the abscissa represents log (λ), the number above the abscissa represents the average number of predictors, and the red dot represents the average deviation value of each model with a given λ. The vertical lines represent the upper and lower limits of the deviation. The two vertical dashed lines from left to right, respectively, represent the minimum error λ value and the maximum λ value. (b) LASSO coefficient distribution of 504 prognostic-related genes. (c) The risk score map (top), survival status map (middle), and gene expression heat map (bottom) of patients in the high-risk and low-risk groups. The green curve in the risk score map represents the risk score of the low-risk group, and the red curve represents the risk score of the high-risk group. The green dots in the survival status map represent samples whose survival state is alive, while red dots represent samples whose survival state is dead. In the gene expression heat map, red represents high expression and blue represents low expression; color intensity represents the magnitude of the difference in gene expression. (d) Kaplan–Meier survival curves of patients in the high-risk and low-risk groups. (e) ROC curve to evaluate the predictive performance of the risk signature for 1-, 3-, and 5-year overall survival in the training cohort. LASSO: least absolute shrinkage and selection operator; AUC: area under the curve; ROC: receiver operating characteristic curve.

(a)

(b)

(c)

(d)

(e)