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. 2024 Jan 13;14(1):51. doi: 10.3390/metabo14010051

Figure 1.

Figure 1

The GLY score and the TME score were developed in the training cohort based on glycosylation-related genes and tumor immune microenvironment cells. (A) Left panel: tenfold cross-validation of variable selection in LASSO regression using the minimum criteria. Right panel: LASSO coefficients for glycosylation. Each curve represents one glycosylation-related gene. (B) Forest plot showing gene expression and the OS outcomes. (C) The lollipop plot represents the logFC values of 15 glycosylation-related prognostic genes. A logFC > 0 indicates upregulated genes; logFC < 0 indicates downregulated genes. The colors represent the different significance levels of the gene, where orange represents p value < 0.001, blue represents p value < 0.01, and green represents p value < 0.05. (D–F) KM curves indicate that patients with high infiltration of activated NK cells, M1 macrophages, and CD8 T cells have a better prognosis. (G) Forest plot revealing the predictive value of three immune cells correlated with a good prognosis in HCC (HR < 1). (* p < 0.05, ** p < 0.01).