Skip to main content
Fig. 3 | Cancer Cell International

Fig. 3

From: Construction of a risk prediction model using m6A RNA methylation regulators in prostate cancer: comprehensive bioinformatic analysis and histological validation

Fig. 3

Consensus clustering analysis based on m6A regulators. A (left) Relative change in area under the CDF curve from k = 2 to 9. (right) Color-coded heatmap of the consensus matrix for k = 3. Color gradients represent values from 0–1 (white: 0, dark blue: 1). B PCA of the transcriptome profiles of three m6Acluster patterns, showing a marked difference in the transcriptome between different m6Aclusters. Different dots of red, orange, and blue in the scatter diagram represent m6Aclusters A to C. C The heatmap shows unsupervised clustering of 25 m6A regulators in TCGA-PRAD. PSA grade, pT, pN, GS, and biochemical recurrence were used for patient annotation. Red represents high expression, and blue represents low expression. D Heatmap of KEGG enrichment analysis showing the activation states of biological pathways in distinct m6Aclusters. Red represents activation, and blue represents inhibition. E Abundance of each infiltrating immune cell among the three m6Aclusters is shown in the boxplot. The median ± interquartile range of values is shown in the graph. ns P > 0.05; * P < 0.05; ***P < 0.001. F Survival analysis for RFS among three m6Aclusters based on 495 TCGA-PRAD patients. Kaplan–Meier curves and log-rank P values are shown in the graph, and the numbers at risk are shown at the bottom

Back to article page