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Fig. 1 | Diagnostic Pathology

Fig. 1

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. 1

Ferroptosis regulator and marker-based risk model established using the Least Absolute Shrinkage and Selection Operator (LASSO)-regularized linear Cox regression. A A total of 378 patients were calculated for immune score by ESTIMATE algorithm and assigned into high- or low-immune score group; the association of immune score with the overall survival in patients with ovarian cancer was analyzed using a Kaplan-Meier estimate. B Ferroptosis regulators and markers based on FerrDb database (http://www.zhounan.org/ferrdb/) were analyzed for differential expression in high- or low-immune score groups. C The coefficients of differentially expressed ferroptosis regulators and markers in TCGA-OV training set (n = 189) were calculated by multivariate Cox regression using LASSO-regularized linear Cox regression

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Diagnostic Pathology

ISSN: 1746-1596

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