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Fig. 3 | BMC Cancer

Fig. 3

From: Estrogen-related genes for thyroid cancer prognosis, immune infiltration, staging, and drug sensitivity

Fig. 3

LASSO regression model. A Univariate Cox regression analysis. B Coefficient distribution plot of eight key genes related to PFI, where each line represents a gene and the ends of these genes point to a vertical coordinate, which is the coefficient. LASSO calculates a coefficient for each gene. C Feature selection analysis plot of the key genes. The parameter corresponding to the dashed line on the left is lambda.min (the number above is “8” indicates that the coefficients of eight genes can be retained). D ROC curve of training set based on risk score versus survival state. E Survival curve for high and low risk groups in the training set. F ROC curve of the validation set based on risk scores versus survival status. G Survival curve of high and low risk groups in the validation set. H Survival curves for high and low risk groups in the immunotherapy dataset. LASSO: Least absolute shrinkage and selection operator; ROC: Receiver operating characteristic; ERDEGs: estrogen-related differentially expressed genes

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