Figure 1 — Consensus clustering and novel risk score model construction based on m6A methylation regulators to evaluate the prognosis and tumor immune microenvironment of early-stage lung adenocarcinoma

Research Paper|Volume 16, Issue 14|pp. 11318–11338

Consensus clustering and novel risk score model construction based on m6A methylation regulators to evaluate the prognosis and tumor immune microenvironment of early-stage lung adenocarcinoma

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Figure 1.Expression of m⁶A methylation regulators in early-stage LUAD. (A) Expression boxplot of m⁶A methylation regulators in early-stage LUAD tissues and normal control tissues. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001. (B) Heatmap of m⁶A methylation regulators expression in early-stage LUAD tissues and normal control tissues. Complete-linkage method combined with Euclidean distance was used to construct clustering. (C) Correlation between m⁶A methylation regulators. Red and blue represent positive and negative correlation, respectively. (D) Mutation frequency of m⁶A methylation regulators in early-stage LUAD. The numbers and barplot on the right represent the mutation frequency of each m6A RNA methylation regulator and the proportion of each variant type, respectively.