Research Paper Volume 15, Issue 9 pp 3498—3523

A novel methionine metabolism-related signature predicts prognosis and immunotherapy response in lung adenocarcinoma

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Figure 3. Patterns of methionine modification and biological characteristics of each pattern. (A) The interaction between key MRGs (Log-rank p-value < 0.05) in LUAD. The circle size represents the impact of each regulator on the prognosis, and the range of values calculated by Log-rank test was p < 0.001, p < 0.01, and p < 0.05, respectively. The color on the left side of the dots depicts differential expression patterns and the color on the right side depicts direction of the prognostic significances. The lines linking regulators showed their interactions, and thickness showed the correlation strength between regulators. Negative correlation was marked with blue and positive correlation with red. (B) Survival analysis for the three MRG modification patterns based on 517 patients from the TCGA LUAD cohort. (C) Heatmap showing association between the expression of 68 MRGs and clinical characteristics in the TCGA LUAD cohort. The MethClusters, age, gender, smoking status, TNM stage, and survival status were used as patient annotations. (D) GSVA enrichment analysis showing the activation states of biological pathways in distinct MRG patterns. The comparison of C1 vs C2 and C1 vs C3 was shown.