Research Paper Advance Articles

Precision prognostication in breast cancer: unveiling a long non-coding RNA-based model linked to disulfidptosis for tailored immunotherapeutic strategies

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Figure 7. Independent prognostic analysis of clinical characteristics and nomogram creation. (A) Assessment of the independent prognostic impact of each clinical factor individually. (B) Evaluation of the independent prognostic influence of multiple factors for each clinical variable. (C) Nomograms were formulated incorporating each clinical indicator and risk scores to present a visual aid for predicting personalized patient outcomes. (D) Calibration curves were generated to appraise the nomograms’ accuracy, comparing predicted survival probabilities with actual survival rates at 1-year, 3-year, and 5-year intervals. (E) Calculation of the C-index was performed to gauge the discriminatory efficacy of gender, age, stage, risk scores, T category, N category, and M category in forecasting patient outcomes. (F) Receiver operating characteristic (ROC) analysis was undertaken for each clinical indicator to ascertain its predictive performance and capacity to differentiate between distinct outcome groups.