Research Paper Volume 13, Issue 15 pp 19486—19509

A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer

Combination of HIRS and clinicopathological features optimize risk stratification and survival prediction in the METABRIC cohort. (A) A nomogram was developed to analyze risk appraisal for individual patients. (B–D) Calibration analysis suggested a high accuracy of 1-, 3-, and 5-years OS prediction. (E) time-ROC analysis showed that the nomogram was a stable and reliable predictor for OS.

Figure 5. Combination of HIRS and clinicopathological features optimize risk stratification and survival prediction in the METABRIC cohort. (A) A nomogram was developed to analyze risk appraisal for individual patients. (BD) Calibration analysis suggested a high accuracy of 1-, 3-, and 5-years OS prediction. (E) time-ROC analysis showed that the nomogram was a stable and reliable predictor for OS.