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. 2020 Mar 27;40(3):BSR20200049. doi: 10.1042/BSR20200049

Figure 6. Construction and model diagnosis of prognostic nomogram including metastasis related immune cells.

Figure 6

The results of the multivariate Cox regression (A), Kaplan–Meier survival curve (E), nomogram (F) and model diagnosis process (B–D) based on metastasis related immune cells. B cells memory (P = 0.011), T cells CD4 memory retaining (P = 0.007), macrophages M0 (P = 0.012) and neutrophils (P = 0.013) were considered as independent predictors of the prognosis of ACC patients in the final Cox model (A–D). The nomogram based on the multivariate model was constructed (F). Results of the Lasso regression showed that the model was not over-fitting (B and C). The calibration curve and Receiver Operating Curve (ROC) showed good predictability (Area Under Curve (AUC) of 3-year survival: 0.893; AUC of 5-year survival: 0.890).