Fig. 8 | Scientific Reports

Fig. 8

From: Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer

Fig. 8

Development and validation of a nomogram for predicting OC prognosis. (A) Univariate Cox regression analysis identifying factors significantly associated with OS in the TCGA cohort, including age, tumor stage, residual tumor status, and risk score. (B) Multivariate Cox regression analysis confirming that grade, residual tumor status, and the risk score are independent prognostic factors. (C) Nomogram integrating clinicopathological features (age, tumor residual status) and the 6-gene risk signature for predicting 1-, 3-, and 5-year OS. Each feature contributes to a total score for individualized survival prediction. (D) Calibration curves assessing the agreement between predicted and observed OS probabilities, indicating good calibration for the nomogram. (E) Kaplan-Meier survival analysis comparing OS among low-, moderate-, and high-score groups, revealing poorer prognosis in the high-score group. (F) ROC curves for the nomogram, showing AUC values of 0.755, 0.7963, and 0.846 for predicting 1-, 3-, and 5-year OS, respectively, demonstrating its robust predictive performance.

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