Research Paper Volume 14, Issue 19 pp 7890—7905

Comprehensive bioinformatics analysis of ribonucleoside diphosphate reductase subunit M2(RRM2) gene correlates with prognosis and tumor immunotherapy in pan-cancer

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Figure 6. Consensus clustering of RRM2-related genes in KIRC. (A) Obtained the available experimentally determined RRM2-binding proteins from the STRING tool. (B) The intersection analysis of 100 genes from GEPIA2 and 50 genes from the STRING tool. (C) The correlation between the RRM2 gene and RRM2-related genes. Blue dots indicate a positive correlation and red dots a negative correlation. (D) Consensus clustering matrix for k = 3. (E) Principal component analysis (PCA) for the transcriptome profiles of subtypes, indicating a significant difference in transcriptomes between different cluster subgroups. (F) Kaplan-Meier overall survival curves of different clusters. (G) Heatmap of three clusters defined by RRM2-related genes. (H) Differences in the Kyoto Encyclopedia of Genes (KEGG) pathways between cluster B and cluster C. (I) Comparison of immune infiltration level of primary RCC patients among three clusters, supported by single-sample gene set enrichment analysis algorithm. Data are presented as mean ±SD; ns P>0.05, *P<0.05, **P<0.01, ***P < 0.001.