Fig. 2
Patterns of m6A methylation modification and biological characteristics of each pattern. a The interaction between m6A regulators in gastric cancer. The circle size represented the effect of each regulator on the prognosis, and the range of values calculated by Log-rank test was p < 0.001, p < 0.01, p < 0.05 and P < 0.1, respectively. Green dots in the circle, risk factors of prognosis; Black dots in the circle, protective factors of prognosis. 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. The regulator cluster A-D was marked with blue, red, yellow and brown, respectively. b Survival analyses for the three m6A modification patterns based on 1051 patients with gastric cancer from five GEO cohorts (GSE15459, GSE34942, GSE57303, GSE62254/ACRG and GSE84437) including 389 cases in m6Acluster-A, 348 cases in m6Acluster-B, and 322 cases in m6Acluster-C. Kaplan-Meier curves with Log-rank p value 0.011 showed a significant survival difference among three m6A modification patterns. The m6Acluster B showed significantly better overall survival than the other two m6Acluster. c-d GSVA enrichment analysis showing the activation states of biological pathways in distinct m6A modification patterns. The heatmap was used to visualize these biological processes, and yellow represented activated pathways and blue represented inhibited pathways. The gastric cancer cohorts were used as sample annotations. c m6Acluster A vs m6Acluster B; d m6Acluster B vs m6Acluster C