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Fig. 2 | Diagnostic Pathology

Fig. 2

From: A risk model based on 10 ferroptosis regulators and markers established by LASSO-regularized linear Cox regression has a good prognostic value for ovarian cancer patients

Fig. 2

The prognostic value of the risk score model. A Risk scores of cases in TCGA-OV (training set, N = 189) were calculated using the formula described in the M&M section. Cases were divided into two groups using the median value of the risk score as a cut-off; the correlation of the subjects’ overall survival with risk score was analyzed. B Risk scores of cases in TCGA-OV (validation set, N = 189) were calculated using formula described in the M&M section. Cases were divided into two groups using the median value of the risk score as a cut-off; the correlation of the subjects’ overall survival with risk score was analyzed. C Risk scores of cases in TCGA-OV (all subjects, N = 378) were calculated using formula described in the M&M section. Cases were divided into two groups using the median value of the risk score as a cut-off; the correlation of the subjects’ overall survival with risk score was analyzed. D Risk scores of cases in GSE63885 were calculated using formula described in the M&M section. Cases were divided into two groups using the median value of the risk score as a cut-off; the correlation of the subjects’ overall survival with risk score was analyzed. E Receiver operating characteristic (ROC) curves showed the predictive efficiency of the risk score model in 1-, 3-, 5-, 8-, or 10-year overall survival based on cases from TCGA-OV. F ROC curves showed the predictive efficiency of the risk score model in 1-, 2-, 3-, 4-, or 5-year overall survival based on cases from GSE63885

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Diagnostic Pathology

ISSN: 1746-1596

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