Fig. 7From: Tumor associated microglia/macrophages utilize GPNMB to promote tumor growth and alter immune cell infiltration in gliomaHigh GPNMB expression in GBM are negatively prognostic for the disease course and positively correlated for the expression of immune checkpoint markers. A Kaplan–Meier survival curves of GBM patients based on GPNMB expression in the CGGA data set. Left: Cutoff set by median GPNMB expression into GPNMBhigh (n = 188, events = 162) and GPNMBlow (n = 189, events = 152). Right: Cutoff by top/low 25% GPNMB expression set into GPNMBhigh (top 25%; n = 94, events = 81) and GPNMBlow (low 25%; n = 94, events = 73). B Kaplan–Meier survival estimates of GBM patients based on GPNMB expression in the TCGA data set. Left: Cutoff set by median GPNMB expression into GPNMBhigh (n = 258, events = 223) and GPNMBlow (n = 255, events = 212). Right: Cutoff by top/low 25% GPNMB expression set into GPNMBhigh (top 25%; n = 128, events = 114) and GPNMBlow (low 25%; n = 128, events = 106). Statistical analysis was performed using Log-rank (Mantel–Cox) test, Gehan-Breslow-Wilcoxon test and Hazard Ratio (Mantel–Haenszel). C Gene expression of immune checkpoint markers (Top: PD-L1, PD-1, CTLA4, TIM3 and BTLA; Bottom: ICOS, ICOSLG, GATA3, CD47 and SIRP-alpha) in GPNMBhigh (top 25%; n = 94) and GPNMBlow (low 25%; n = 94) primary GBM. Data from CGGA. D Representative core region staining of PD-1 (left), CD3 (middle) and merge with DAPI (right; PD-1 = yellow, CD3 = red, DAPI = blue) of brain slices from tumor-bearing WT and KO. Scale bar represents 20 µm. The graphs (left, core: WT n = 6, KO n = 7; right, IE: WT n = 6, KO n = 7) show the summary data from WT and KO mice. Statistical analysis was performed using unpaired t-test. Error bars represent SD. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001Back to article page