Bioinformatics Analysis Revealing the Correlation between NF-<i>κ</i>B Signaling Pathway and Immune Infiltration in Gastric Cancer

<div>High-risk group had a low TMB. (a) The waterfall plot showed the top 20 frequent mutations that were occurred in GC. (b) The low-risk group had a higher TMB than the high-risk group. (c) The mutations of the seven hub genes in GC. (d) Survival analysis of TMB in GC. Samples were divided into low- and high-TMB groups according to the optimal cutoff value. (e, f) Stratified analysis showed that the high-risk group tended to a poorer outcome than the low-risk group in low-TMB cohort, but not in high-TMB cohort. 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Computational and Mathematical Methods in Medicine

fig6

Figure 6

Figure 6: Bioinformatics Analysis Revealing the Correlation between NF-<i>κ</i>B Signaling Pathway and Immune Infiltration in Gastric Cancer 

Computational and Mathematical Methods in Medicine

Bioinformatics Analysis Revealing the Correlation between NF-κB Signaling Pathway and Immune Infiltration in Gastric Cancer

Figure 6