Research Article
M6A-Related Bioinformatics Analysis Reveals a New Prognostic Risk Signature in Cutaneous Malignant Melanoma
Figure 3
The selection of three m6A RNA methylation regulators and their effect on CMM prognosis and clinicopathological characteristics. (a) Cox univariate regression analyses were used to examine the associations between expression of 25 m6A RNA methylation regulators and prognosis, and six m6A regulators closely related to survival were screened out (). (b, c) A random survival forest algorithm was used to analyze the importance of the six regulators, and the relative importance of these regulators is shown. (d) The risk formula was constructed; then the survival analysis was done in the TCGA CMM dataset of the high-risk group and the low-risk group. (e) Heatmap and clinicopathologic features of the three selected m6A RNA methylation regulators. N stands for N classification in TNM system, and T stands for T classification in TNM system.
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