Research Paper Volume 16, Issue 8 pp 7293—7310
A novel prognostic signature based on cancer stemness and metabolism-related genes for cervical squamous cell carcinoma and endocervical adenocarcinoma
Figure 4. Identification of prognosis-related genes. (A) Univariate Cox analysis was used to double-screen the prognosis-related genes in the screened gene set. (B) Parameter selection in lasso model is 100 times cross validation. (C) Lasso coefficient spectrum of prognostic gene screening. (D) Stepwise Cox proportional hazards regression model was used to further screen the prognosis-related genes. (E) Risk score distribution, survival status, and gene expression profile. (F, G) K-M survival plot and ROC analysis for predicting 1-year, 3-year and 5-year prognosis.