Figure 10. USP13 and FBXL14 expressions are clinically associated with GBM patient survival, GSC makers, and glioma grades. (A) Analysis of the Rembrandt database shows a significant inverse correlation between USP13 expression and the overall survival of GBM patients. Log-rank analysis was used. n = 210. (B) Analysis of the Rembrandt database indicates a significant positive correlation between FBXL14 expression and the overall survival of GBM patients. Log-rank analysis was used. n = 210. (C) Linear regression analysis of the Rembrandt database showed a significant positive correlation between USP13 expression and the expression of GSC markers SOX2 (R = 0.2493; P = 0.0002) or OLIG2 (R = 0.3363; P < 0.0001). Pearson’s R correlation test was used. n = 220. (D) Linear regression analysis of the Rembrandt database indicated a significant negative correlation between expression of FBXL14 and the expression of GSC markers SOX2 (R = −0.2912; P = 0.0002) or OLIG2 (R = −0.1600; P = 0.0175). Pearson’s R correlation test was used. n = 220. (E) Analysis of the Rembrandt database shows that USP13 expression was significantly higher in gliomas than that in normal brains. (F) Analysis of the Rembrandt database indicates that FBXL14 expression was lower in high-grade gliomas (III and IV) than in low-grade glioma (II) and normal brains. (E and F) Tukey's multiple comparisons test was used. Normal, n = 7; grade II, n = 99; grade III, n = 85; grade IV, n = 220. (G) A schematic illustration for the posttranslational regulation of c-Myc by USP13-mediated deubiquitination (Dub) and FBXL14-mediated ubiquitination (Ub) to determine the cell fate of glioma cells. The net balance between the FBXL14-mediated ubiquitination and the USP13-mediated deubiquitination controls c-Myc protein levels to determine the maintenance or differentiation of GSCs. *, P < 0.05; **, P < 0.01.
Figure 10.

USP13 and FBXL14 expressions are clinically associated with GBM patient survival, GSC makers, and glioma grades. (A) Analysis of the Rembrandt database shows a significant inverse correlation between USP13 expression and the overall survival of GBM patients. Log-rank analysis was used. n = 210. (B) Analysis of the Rembrandt database indicates a significant positive correlation between FBXL14 expression and the overall survival of GBM patients. Log-rank analysis was used. n = 210. (C) Linear regression analysis of the Rembrandt database showed a significant positive correlation between USP13 expression and the expression of GSC markers SOX2 (R = 0.2493; P = 0.0002) or OLIG2 (R = 0.3363; P < 0.0001). Pearson’s R correlation test was used. n = 220. (D) Linear regression analysis of the Rembrandt database indicated a significant negative correlation between expression of FBXL14 and the expression of GSC markers SOX2 (R = −0.2912; P = 0.0002) or OLIG2 (R = −0.1600; P = 0.0175). Pearson’s R correlation test was used. n = 220. (E) Analysis of the Rembrandt database shows that USP13 expression was significantly higher in gliomas than that in normal brains. (F) Analysis of the Rembrandt database indicates that FBXL14 expression was lower in high-grade gliomas (III and IV) than in low-grade glioma (II) and normal brains. (E and F) Tukey's multiple comparisons test was used. Normal, n = 7; grade II, n = 99; grade III, n = 85; grade IV, n = 220. (G) A schematic illustration for the posttranslational regulation of c-Myc by USP13-mediated deubiquitination (Dub) and FBXL14-mediated ubiquitination (Ub) to determine the cell fate of glioma cells. The net balance between the FBXL14-mediated ubiquitination and the USP13-mediated deubiquitination controls c-Myc protein levels to determine the maintenance or differentiation of GSCs. *, P < 0.05; **, P < 0.01.

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