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Fig. 8 | Cancer Cell International

Fig. 8

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. 8

Predictive value of the MLDIS in immunotherapy response. A Kaplan–Meier survival curve of OS between patients with a high MLDIS and a low MLDIS in the IMvigor dataset. B Box plot displaying the MLDIS in patients with different immunotherapy responses in the IMvigor dataset. C Differences in MLDIS among distinct anti-PD-1 clinical response groups. D Kaplan–Meier survival curve of OS between patients with a high MLDIS and a low MLDIS in the Van Allen dataset. E Box plot displaying the MLDIS in patients with different immunotherapy responses in the Van Allen dataset. F Box plot displaying the MLDIS in patients with different immunotherapy responses in the GSE35640 dataset. G Box plot displaying the MLDIS in patients with different immunotherapy responses in the GSE91061 dataset. H Kaplan–Meier survival curve of OS between patients with a high MLDIS and a low MLDIS in the Nathanson dataset. I Box plot displaying the MLDIS in patients with different immunotherapy responses in the Nathanson dataset. J Kaplan–Meier survival curve of OS between patients with a high MLDIS and a low MLDIS in the GSE78220 dataset. (K) Box plot displaying the MLDIS in patients with different immunotherapy responses in the GSE78220 dataset

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Cancer Cell International

ISSN: 1475-2867

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