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Fig. 4 | Molecular Medicine

Fig. 4

From: Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning

Fig. 4

Screening and model construction of ODRG. A The best λ value was selected through LASSO regression and LASSO coefficients were configured. B The survival rates of the high-expression group and low-expression group (i.e. CD79B, GZMA, HE5, HLA-DQA1, and LTB) of ODRGs showed significant differences. C Survival differences between high-risk and low-risk groups in the TCGA cohort. The table below shows the number of patients still alive each year. D The ROC curve demonstrates the predictive efficiency of risk score and clinical features

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Molecular Medicine

ISSN: 1528-3658