Integrative Analysis of m6A RNA Methylation Regulators and the Tumor Immune Microenvironment in Non-Small-Cell Lung Cancer

Figure 5

m6A gene signature subtypes and m6Ascore performance validation. (a–d) Consensus clustering of NSCLC patients for . (e) PCA was used to divide the intersecting genes of two different m6A modification patterns into four different molecular subtypes. (f) This Kaplan–Meier curve plot with a value < 0.001 shows that significant gene cluster A had significantly better overall survival than the others. (g) Unsupervised clustering of the intersecting genes of two different m6A methylation modification patterns was used to divide patients into four subtypes, known as m6A gene clusters A-D, where survival, age, sex, and tumor staging were used as reference indicators.

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