Figure 3.

Characterization of m⁶A methylation patterns with diverse prognosis and TME landscape in TCGA cohort: (a) Heatmaps for the mRNA levels of 23 m⁶A modifiers among three m⁶A machinery phenotypes. (b) Heatmap of the GSVA scores of Hallmark pathways in distinct m⁶A modification patterns. (c) Kaplan–Meier OS curves for HCC patients from TCGA data set with diverse patterns (log-rank tests). (d) The differences in the activation of several pathways among three patterns. Kruskal-Wallis H test was applied for comparing three clusters. Ns: no significance; ^∗p < 0.05; ^∗∗p < 0.01; ^∗∗∗p < 0.001. (e) Heatmap of the correlations of 23 m⁶A modifiers with infiltrating immune cells based on ssGSEA method. Positive correlation, red; negative correlation, blue. (f) Heatmap for the differences in 28 immune population abundance among three patterns. (g) The discrepancy in stromal/immune score and CD274 expression among three patterns.