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. 2021 Aug 31;12:735170. doi: 10.3389/fimmu.2021.735170

Figure 2.

Figure 2

TME cell infiltration characteristic of m6A regulation patterns. (A) The cluster was used to identify three expression patterns of 24 m6A regulators in 498 prostate cancers. Standardize the expression of each gene. (B) Alluvial diagram showing the changes of m6A regulators clusters and immune clusters of the prostate cancer samples. (C) The expression of 24 m6A regulators in three clusters. cluster1, red. cluster2, green, cluster3, blue. The upper and lower ends of the boxes represented interquartile range of values. The lines in the boxes represented median value, and black dots showed outliers. The asterisks represented the statistical p value (*P<005; **P<001; ***P<0001; ****P<0.0001); ns, Not Statistically significant. (D) Expression characteristics of 7 key m6a regulators in 3 types of samples. “Highest” means that the mRNA expression of gene is the highest among the three group (p<0.05). “Lowest” means that the mRNA expression of gene is the Lowest among the three group (p<0.05). “Median” means: Compared with the other 2 groups, median is higher than one group (p<0.05) and lower than the other group (p<0.05). (E) Key characteristics of three m6a expression clusters. “Highest” means that the mRNA expression of gene is the highest among the three group (p<0.05). “Lowest” means that the mRNA expression of gene is the Lowest among the three group (p<0.05). “Median” means: Compared with the other 2 groups, median is higher than one group (p<0.05) and lower than the other group (p<0.05). (F) Survival analyses for the three m6A expression patterns based on 405 patients with prostate cancer from TCGA database including 157 cases in m6A regulators cluster-1, 36 cases in m6A regulators cluster-2, 212 cases in m6A regulators cluster-3. Kaplan-Meier curves with Log-rank p value 0.002 showed a significant survival difference among three m6A expression patterns. The m6Acluster-3 showed significantly better FPI than the other two m6Acluster.