[Retracted] Identification and Validation of Invasion-Related Molecular Subtypes and Prognostic Features for Cervical Cancer

Figure 6

Verification of prognostic signature of cervical cancer patients based on DEGs between C1 and C2 subtypes. (a) TCGA internal test set patients were ranked from the lowest to the largest risk score and heat map of expression of 8 genes in the model. (b) Patients with cervical cancer in TCGA-CESC cohort were listed in an ascending order of risk score as well as the heat map of expression of 8 genes in the model. (c) All patients in the GSE44001 cohort were listed in an ascending order of risk score and heat map of gene expression in the model. (d) The log-rank test was utilized to evaluate the statistical significance of the difference between the high- and low-risk groups in TCGA internal test set cohort. (e) The ROC curve for1-, 3-, and 5-year OS in TCGA internal test set. (f) In TCGA-CESC cohort, Kaplan-Meier curves for survival analysis. (g) The AUCs of the ROC curves for 1-, 3-, and 5-year OS in TCGA-CESC cohort. (h) The Kaplan-Meier curve of different risk groups. (i) ROC curves in the GSE44001 cohort and AUC were applied to determine the accuracy of the risk model.

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