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. 2022 Jun 23;2022:7171126. doi: 10.1155/2022/7171126

Figure 4.

Figure 4

Principal component analysis (PCA) and Kaplan–Meier survival analysis. (a, b) PCA of DEGs in patients with GBM with high or low PXN expression based on the median PXN expression levels in the TCGA dataset (a) and relationship of high PXN expression with OS (b). (c, d) PCA of DEGs between high and low PXN expression subgroups in the CGGA dataset (c) and association of PXN with OS (d). (e, f) Negative correlation of PXN with OS in the GSE83300 dataset and GEPIA data. (g, h) Involvement of PXN in PFS (g) and disease-free survival (h). (i) Meta-analysis showing the hazard ratio of PXN in OS analysis. Abbreviations: TCGA: The Cancer Genome Atlas; CGGA: Chinese Glioma Genome Atlas; HR: hazard ratio; CI: confidence interval; OS: overall survival; PFS: progression-free survival.