Fig. 1
The relationship between hypoxia and m6A/m5C/m1A methylation regulation. A The consensus matrix of unsupervised clustering when K = 2. B Cumulative distribution function (CDF) curve proves that K = 2 has the best clustering effect. C K-M survival curves showed the differences of overall survival rate among the 2 clusters. D Analysis of activation difference of hypoxia pathway between two clusters, the significance of the difference was analyzed by Wilcoxon signed rank test. E Heatmap of differential expression of m6A/m5C/m1A methylation regulation genes in two clusters, the significance of the difference was analyzed by T test. F Analysis of differences in Mean DNA methylation degree between two clusters, the significance of the difference was analyzed by Wilcoxon signed rank test. G Analysis of activation differences of m6A/m5C/m1A methylation regulation between two clusters, the significance of the difference was analyzed by Wilcoxon signed rank test. H Correlation analysis between hypoxia pathway and m6A/m5C/m1A methylation regulation. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, NS means non-significant)