Mining Prognostic Biomarkers of Thyroid Cancer Patients Based on the Immune-Related Genes and Development of a Reliable Prognostic Risk Model

Figure 4

Internal and external verification of the immune-related prognostic model in the TCGA and ICGC cohorts, respectively. (a) Kaplan–Meier survival analysis of THCA patients in different risk groups in the TCGA cohort. (b) Time-dependent ROC analysis of the risk score model to predict the overall survival of THCA patients. (c, d) The distribution of risk scores, and corresponding survival status of THCA patients in the TCGA cohort. (e) Heatmap of seven risk genes that formed the risk model in the TCGA cohort. (f) PCA plot and t-SNE analysis for the TCGA cohort. (g, h) Kaplan–Meier survival plot and time-dependent ROC analysis of the risk score model for evaluating the prognostic value of the risk model to predict the survival of THCA patients in the ICGC cohort. (i, j, k) The distribution of the risk scores, corresponding survival status of THCA patients, and expression patterns of seven risk genes in the ICGC cohort. (l) PCA plot and t-SNE analysis of the ICGC cohorts. The high-risk and low-risk groups displayed variant immune statuses. ICGC, International Cancer Genome Consortium; TCGA, The Cancer Genome Atlas; PCA, principal component analysis; ROC, receiver operating characteristic; THCA, thyroid cancer; t-SNE, t-distributed stochastic neighbor embedding.