Figure 4 | Scientific Reports

Figure 4

From: Investigating the role of senescence biomarkers in colorectal cancer heterogeneity by bulk and single-cell RNA sequencing

Figure 4

A nomogram for predicting CRC prognosis. (a) The forest plot of univariate Cox regression analysis of SRS and clinical indicators. (b) The forest plot of multivariate Cox regression analysis of SRS and clinical indicators. (c) A nomogram containing independent prognostic indicators, including age, AJCC-T stage, AJCC-M stage, pathological stage and SRS. (d) ROC curves of independent prognostic indicators. Higher AUC is more valuable in predicting prognosis. (e) Decision curve analysis (DCA) curves show net benefits of age, pathological stage, AJCC-T stage, AJCC-M stage, SRS and nomogram at a range of clinically reasonable risk thresholds. (f) The net reduction analysis indicates how many patient deaths could be prevented after the intervention, as determined by age, pathological stage, AJCC-T stage, AJCC-M stage, SRS and nomogram. (g–i) Calibration curves of nomogram at 1-, 3- and 5-year.

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