Fig. 2

Prognostic Risk Analysis and Survival Outcomes in Prostate Cancer (PCa). A–D Cox regression analysis was performed to assess the prognostic significance of RRM2 in prostate cancer (PCa): A Results from the Cox regression analysis revealed that RRM2 expression is a key prognostic risk factor in PCa, indicating a statistically significant association with both (B) Overall Survival (OS) and (C) Progression-Free Survival (PFS). D The analysis demonstrated the strength of this association by displaying hazard ratios and their confidence intervals (CI), highlighting the impact of RRM2 expression on patient outcomes. E–G Survival analysis results indicated that high RRM2 level was obviously related to worse prognosis. H To further explore the prognostic value of RRM2, the cohort of PCa cases was stratified into high and low-risk groups using the median expression value of RRM2 as the threshold. This categorization yielded two distinct patient groups comprising (insert number here) individuals each, allowing for a more detailed analysis of RRM2’s impact on PCa prognosis. I The predictive accuracy of the risk score for Overall Survival (OS) was evaluated using a Receiver Operating Characteristic (ROC) curve analysis. This analysis assesses the sensitivity and specificity of the risk score in predicting survival outcomes, providing valuable insights into its clinical utility as a prognostic marker. The area under the ROC curve (AUC) was calculated to quantify the predictive performance of the risk score