Overexpression of Pleckstrin Homology Domain-Containing Family A Member 4 Is Correlated with Poor Prognostic Outcomes and Immune Infiltration in Lower-Grade Glioma

Figure 3

Identification of PELKAH4 as a prognostic gene and construction of a PLEKHA4-based prognostic prediction model.(a–c) OS between PELKHA4 high and low groups in TCGA, CGGA, and Rembrandt datasets. (d) Univariate and multivariate Cox regression analyses of PLEKHA4 level with tumor grade, gender, age, 1p/19q codeletion, and IDH statusin, the TCGA, CGGA, and Rembrandt cohorts. HR and values were displayed. (e) Meta-analysis of prognostic values of PLEKHA4 for patients across three cohorts. A fixed effects model was used to calculate pooled HR value. (f) Nomogram by multivariate Cox regression analysis for predicting the proportion of patients with OS. (g) Plots depict the calibration of model in terms of agreement between predicted and observed OS. Model performance is shown by the plot, relative to the 45-degree line, which represents perfect prediction. (h) The DCA results show that the 1-, 3-, and 5-year net benefit of the nomogram is significantly higher. (i–k) AUC plotted for different durations of OS for nomogram-based signature, PLEKHA4 expression, and tumour stage in the TCGA, CGGA, and Rembrandt datasets. , , and ; ns not significant.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)