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Fig. 4 | BMC Cancer

Fig. 4

From: Four differentially expressed genes can predict prognosis and microenvironment immune infiltration in lung cancer: a study based on data from the GEO

Fig. 4

Overall survival curves obtained using the Kaplan–Meier method indicate that the risk score is significantly associated with OS prognosis. Kaplan–Meier survival analyses for lung cancer patients classified into groups with high or low expression of: A CPA3 (p < 0.001 by log-rank test). B C15orf48 (p = 0.016 by log-rank test). C FCGR1B (p = 0.014 by log-rank test). D GNG4 (p = 0.002 by log-rank test). E Kaplan–Meier survival analysis for lung cancer patients classified into high- or low-risk groups for these four genes (p < 0.001 by log-rank test). F The horizontal and vertical axes represent false positive and true positive rates, respectively. The AUC value for the risk model in predicting the survival was 0.666. ROC, receiver operating characteristic; AUC, area under the curve

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