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Fig. 3 | Cancer Cell International

Fig. 3

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. 3

Identify hub genes in TCGA-SKCM. A Univariate Cox analysis and B multivariate Cox analysis identified 10 prognostic RNAs in the TCGA-SKCM cohort (n = 457). Kaplan–Meier curves of OS for the RASGRP2 (C), TXK (E), COL4A4 (G), ACHE (I), RBP5 (K), ANKRD29 (M), GHRL (O), CARNS1 (Q), ARMH1 (S), TNFRSF25 (U) in the TCGA-SKCM cohort (n = 457). Time-dependent ROC analysis for predicting OS at 1, 3, and 5 years for the RASGRP2 (D), TXK (F), COL4A4 (H), ACHE (J), RBP5 (L), ANKRD29 (N), GHRL (P), CARNS1 (R), ARMH1 (T), TNFRSF25 (V) in the TCGA-SKCM cohort (n = 457). Data are presented as hazard ratio (HR) ± 95% confidence interval [CI]

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Cancer Cell International

ISSN: 1475-2867

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