Fig. 6 | Scientific Reports

Fig. 6

From: Integrative analysis of molecular mechanisms in prostate cancer via single-cell RNA sequencing and weighted gene co-expression network analysis

Fig. 6

Risk score-based survival prediction and pathway enrichment analysis results (A) and (B) Line graphs exhibition GSEA analysis enrichment scores for high and low-risk score groups in GO and KEGG pathways, respectively, showing significant differences in biological processes and signaling pathways. (C) Bar chart showing the distribution of t values between HRisk and LRisk groups in GSVA scores, with blue representing upregulated pathways in the HRisk group and green representing upregulated pathways in the LRisk group. (D) Standard nomogram for predicting individual 3-year and 5-year survival rates, based on a comprehensive score of age, T, N, and risk score. (E) Calibration curves show the predictive accuracy of 3-year and 5-year survival rates, with high consistency between Nomogram predictions and actual observed survival rates. (F) ROC curve assessing the predictive performance of the risk score model, with an AUC of 73.9%, indicating good predictive ability of the model. (G) Decision curve analysis showing the benefit assessment of different thresholds for age, T, N, and risk score.

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