Skip to main content
Figure 5 | Journal for ImmunoTherapy of Cancer

Figure 5

From: Immune monitoring using the predictive power of immune profiles

Figure 5

Hierarchical clustering identifies relationships between immune markers. (A) An additional 13 immune markers were added to the original ten. Cancer patients (n = 48) and healthy volunteers (n = 31) were analyzed as in Figure 1. White boxes in the dendrogram indicate that data was not collected or deemed suitable for analysis. For correlative studies, values from all 160 healthy volunteers and patients were used. (B) Monocytes and granulocytes were plotted against CD14+HLA-DRlo/neg monocyte cell counts and CD4 T cell counts were plotted against the percentage of CD14+HLA-DRlo/neg monocytes of total CD14+ monocytes. P values were calculated using the Spearman non-parametric correlation test. (C) The overall survival for GBM, NHL, and RCC patients was adjusted for age and disease. A ratio of cells/μl of CD4 T cell to CD14+HLA-DRlo/neg monocytes was calculated for each patient and subgrouped into those above or below a cut-off value of 2.0 Patients with ratio at or above 2.0 (similar to healthy volunteers; dashed line) had a median overall survival of 30 months. and those below 2.0 (solid line) had a median overall survival of 9 months.

Back to article page