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Fig. 1 | European Journal of Medical Research

Fig. 1

From: High expression of GMNN predicts malignant progression and poor prognosis in ACC

Fig. 1

Construction of a DEGs based signature to predict the prognosis of ACC. (A) Univariate Cox regression analysis showed that 23 DEGs are closely associated with the OS of ACC patients. (B–D) Kaplan–Meier curves revealed that the high-risk group had significantly shorter OS, DSS, and PFI compared with the low-risk group. (E) In addition, high-risk scores also indicate poor OS in ACC patients who received mitotane therapy. (F) ROC curves showed that the AUC of the risk score was 0.849. (G) Heatmap showed that a significant difference was found between the high- and low-risk groups for the stage, T, and M. (H) Univariate Cox regression analysis showed that stage, T, M, Weiss score, invasion, and risk score were significantly related to the survival of ACC patients. (I) Multivariate Cox regression analysis demonstrated that the signature could serve as an independent prognostic predictor in ACC. *P < 0.05; **P < 0.01; ***P < 0.001; DEG differentially expressed gene, ACC adrenocortical carcinoma, OS overall survival, DSS disease-specific survival, PFI progression-free interval, ROC receiver operating characteristic curve, AUC area under curve

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