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Fig. 9 | Cancer Cell International

Fig. 9

From: Machine learning-derived identification of tumor-infiltrating immune cell-related signature for improving prognosis and immunotherapy responses in patients with skin cutaneous melanoma

Fig. 9

Validation in a clinical in-house cohort. A Kaplan–Meier survival curve of OS between patients with a high MLDIS and a low MLDIS in the in-house dataset. B Time-dependent ROC analysis for predicting OS at 1, 3, and 5 years in the in-house dataset. C The performance of MLDIS was compared with other clinical and molecular variables in predicting prognosis in the in-house dataset. D Univariate Cox analysis of OS in the in-house dataset (n = 30). E Scatter plot displaying the correlation between the MLDIS and CD8, PD-1, and PD-L1 in the in-house dataset. F Box plot displaying the IHC score levels of CD8, PD-1, and PD-L1 based on IHC staining between two MLDIS groups in the MLDIS in-house dataset. G Representative IHC staining images of CD8, PD-1, and PD-L1 in two MLDIS groups in the in-house dataset

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Cancer Cell International

ISSN: 1475-2867

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