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Fig. 4 | Cancer Cell International

Fig. 4

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. 4

Development consensus clusters based on 10 hub genes in a meta-cohort. A The consensus score matrix of all samples when k = 2. A higher consensus score between two samples indicates they are more likely to be grouped into the same cluster in different iterations. B Kaplan–Meier curve showed a significant difference between the 2 clusters. C The distribution of immune score inferred by ESTIMATE algorithm between 2 clusters in the meta-cohort. D The distribution of 28 immune cell subsets infiltration between 2 clusters. E Univariate Cox analysis identified 37 prognostic RNAs in the meta-cohort (n = 712). The asterisks represented the statistical p-value (*P < 0.05; **P < 0.01; ***P < 0.001)

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Cancer Cell International

ISSN: 1475-2867

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