Figure 1.

Hierarchical Clustering and Classification by 70 Genes

(A) Heatmap of the median centered 70 genes’ expression profiles between high- and low-risk groups in the training dataset (red, relative high expression; green, relative low expression). (B) The relative prognostic index based on 70 genes’ expression of each patient. The weight of each gene was calculated by the Cox proportional hazard regression model. (C and D) The 70-gene signature of patients with disease-free survival (DFS) in the training dataset (C) and overall survival (OS) in combined validation datasets (D). Each group was classified by the 70-gene signature into low and high risk, and evaluated by Kaplan-Meier analysis. (E) Prognostic index value of the 70-gene signature in cervical cancer and healthy tissue. The p values were computed by the log rank test.