Fig. 2
Construction of m6A risk scoring model and influence of m6A risk model on different biological characteristics. A Expression and interaction of m6A-related genes in patients with CESC. The size of each cell represents the impact of each gene on patient survival, which was analyzed using the logarithmic rank test. The color of one half of the circles represents the m6A-related gene group, and the other half represents the effect on prognosis. The m6A-related genes were grouped as erasers (red), readers (orange), and writers (gray). Meanwhile, in terms of the impact on prognosis, purple represents risk factors, and green represents protective factors. The lines connecting the m6A-related genes represent interactions between genes. The thickness of the line represents the correlation intensity estimated by the Spearman correlation analysis. The positive correlation is represented by red, and the negative correlation is represented by blue. B, C LASSO Cox analysis identified 12 genes most associated with TCGA data set OS. D Distribution of risk scores for patients with CESC, patient survival, and heat maps of characteristic gene expression; E Kaplan–Meier curve analysis to assess the effect of risk score on overall survival in patients with CESC; F ROC curve analysis of time dependence of risk score. G GSVA analysis of patients in the high- and low-risk subgroups based on gene expression data of patients with CESC. Heat maps were used to demonstrate the relevant pathways with significant differential enrichment. H Enrichment of different pathway characteristics (immune-related characteristics, mismatch-related characteristics, and matrix-related characteristics) in the high- and low-risk score subgroups, where thick lines represent the median. The bottom and top of the box are the 25th and 75th percentiles (interquartile spacing) (*P < 0.05, **P < 0.01, ***P < 0.001)