Identification of Nephrogenic Therapeutic Biomarkers of Wilms Tumor Using Machine Learning

Figure 3

Clinical characteristics and immunochemical predictive analysis of the risk model. (a) Analysis of the Kaplan–Meier survival curve based on the risk model. (b) Univariate and (c) multivariate analysis of the risk score and clinical characteristics. (d) The high- and low-risk group responsiveness to treatment is based on the data of the immune response of melanoma patients who had recently received checkpoint blockade treatment against cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed death receptor 1 (PD-1). (e) The chemical prediction response of the high- and low-risk group patients is based on the trained model used on the GDSC cell line dataset.

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