Research Paper Volume 15, Issue 24 pp 15287—15323

Figure 4. Analysis of differences in immune characteristics between high and low PRGs groups based on the AAA combined datasets. (A) Bar graph of abundance of immune cell infiltration between high and low PRGs groups. (B) Heatmap of the abundance of immune cell infiltration between the high and low PRGs groups. Red representing high cell abundance and blue representing low cell abundance. (C) Correlation heatmap of infiltration abundance of different immune cells. Red represents positive correlation and blue represents negative correlation. (D) Box plot of immune cell infiltration abundance between the high and low PRGs groups. Red represents the high PRGs group and blue represents the low PRGs group. (E) Heatmap of correlation between pyroptosis biomarker and infiltration abundance of different immune cells. Red represents positive correlation and blue represents negative correlation. (F–K) Scatter plot of correlation between pyroptosis biomarker and abundance of different immune cell infiltration. PLCG1 was significantly correlated with B.c.naive (F). There was a significant positive correlation between GSDMB and NK.cells.activated (G). The SCAF11 was significantly positively related to T.cell.CD4.Memory. Resting (H). The GSDMD was negatively correlated with Mast.cells.activaetd (I). The SCAF11 was negatively correlated with Macrophage.M0 (J). There was a significant negative correlation between GSDMB and T.cal.GMMA.delta (K). ^*P < 0.05, ^**P < 0.01, ^***P < 0.001. Abbreviation: PCA: Principal Component Analysis.