Fig. 10 | Scientific Reports

Fig. 10

From: Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma

Fig. 10

Construction of a nomogram and implementation of enrichment analysis. (A) A nomogram combining the CMPIS with pertinent clinical characteristics to enhance the clinical utility of the CMPIS. (B) The calibration curve analysis illustrated that the nomogram’s predictive accuracy aligns closely with real-world outcomes. (C and D) The marker genes in the low CMPIS group were significantly associated with immune cell activation, immune cell differentiation, immune-related signaling pathways, and immune checkpoint pathways. (E and D) The marker genes in the high CMPIS group were significantly associated with a variety of tumor-related pathways, cancer invasion and metastasis, and cytokine pathways.

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