Research Paper Volume 15, Issue 24 pp 15434—15450

Unravelling diagnostic clusters and immune landscapes of disulfidptosis patterns in gastric cancer through bioinformatic assay

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Figure 6. Consensus clustering of the 15 significant disulfidptosis modulators in GC. (AD) Consensus matrices of the 15 significant disulfidptosis modulators for k = 2–5. (E) Expression heat map of the 15 significant disulfidptosis modulators in clusterA and clusterB. (F) Differential expression boxplots of the 15 significant disulfidptosis modulators in clusterA and clusterB. (G) Principal component analysis for the expression profiles of the 15 significant disulfidptosismodulators that shows a remarkable difference in transcriptomes between the two disulfidptosis patterns. (H) GO enrichment analysis that explores the potential mechanism underlying the effect of the 79 disulfidptosis-related DEGs on the occurrence and development of GC. *p < 0.05, **p < 0.01, and ***p < 0.001.