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Fig. 1 | BMC Bioinformatics

Fig. 1

From: LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example

Fig. 1

LOCC demonstrates E2F1 is associated with a poor prognosis in TCGA hepatocellular carcinoma A The z-score expression of E2F1 from TCGA hepatocellular carcinoma patient samples was ordered in descending order and plotted against the ranking of the samples. Samples with mutations of E2F1 that modify the characteristics of their corresponding amino acids (non-silent mutations) are colored in orange while samples with wildtype E2F1 are colored turquoise. B A black line depicting the hazard ratio is plotted for every cutoff for E2F1 expression. A red horizontal line is placed at HR = 1.0. C A yellow line depicting the − log (p value) is added to the graph to display the significance of each cutoff. The red horizontal line is also aligned with p = 0.01 while the green horizontal line is aligned with p = 0.05. The cutoff with the lowest p value is selected to be the ideal cutoff, indicated by the arrow which corresponds to a z-score of − 0.305. D A Kaplan–Meier overall survival curve is plotted at the ideal cutoff to separate patients into high or low E2F1. E A data table of the details of the groups is shown. Patients’ survival times are expressed in months. P values are calculated using log-rank test. HRs are calculated using Cox proportional hazard regression. F A ROC is plotted for E2F1, and the AUC was calculated

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