Immune-Related Genes: Potential Prognostic Factors and Regulatory Targets for Cervical Carcinoma

Figure 3

Survival-associated IRGs and prognosis risk scoring system construction. (a) Univariate Cox proportional hazard regression analysis in cervical carcinoma showing the prognostic values of IRGs. The regression coefficient of each gene was obtained using the survival package in R. The coefficient (parameter coef in R) of each selected gene represented the estimated logarithm of the Hazard Ratio (HR, parameter exp (coef in R)). value < 0.05 was considered significant. (b) A risk scoring system based on 6 IRGs was built by multivariate Cox proportional hazard regression under the condition of . The signature is expressed as follows: . value < 0.05, value < 0.01, and value < 0.001. (c) Survival-dependent receiver operating characteristic (ROC) curve validation of the prognostic value of the risk score. (d) Rank of risk score and distribution of groups or the survival status of patients. Red: dead outcome; green: alive outcome. (e) Kaplan-Meier curves were used to assess the survival difference between two groups using the log-rank test. The median risk score served as a cutoff value to classify patients into the high-risk and low-risk groups. Red: high-risk group; purple: low-risk group. (f) Comparison of clinicopathological features and expression profiles of 6 IRGs in different groups. value < 0.05, value < 0.01, and value < 0.001.

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