Fig. 5 | International Journal of Oral Science

Fig. 5

From: Integrative single-cell and bulk transcriptomes analyses reveals heterogeneity of serine-glycine-one-carbon metabolism with distinct prognoses and therapeutic vulnerabilities in HNSCC

Fig. 5

The distinct immunological characteristics based on SGOC metabolism. a Spearman correlation analysis of the SGOC risk scores and TME scores in TCGA-HNSC cohort. Boxplot shows the scores of TME (b), the expressions of immune cells (c) and ICIs (d) in the high- and low-risk groups of TCGA-HNSC cohort. e Malignant cells were divided into low, median and high according to SGOC scores. f GO enrichment analysis was performed on the differentially expressed genes between low-SGOC and high-SGOC malignant cells in scRNA-seq cohort. g Heatmap showing the interaction intensity between chemokines (CCL3/-4/-5, CXCL14/-16) and cytokines (IL23A) from malignant cells (SGOC-high, -low and -median) and the chemokine receptor (CXCR3/-4/-6, CCR5) and cytokines receptor (IL12RB1) on CD8 + T cells according to the CellCall analysis. Correlations between immune cells (h) or CD8 + T cells (i) infiltration and risk scores were determined by Spearman correlation analysis in scRNA-seq cohort. j, k Kaplan–Meier curves for the OS of high- and low- risk groups in anti-PD1 immunotherapy cohorts. T test, *P < 0.5

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