Fig. 6: GBPs are downregulated in leukemia patients and associated with leukemia prognosis.

a The mRNA expression (log2) data of the U133Plus2 platform were obtained from the gene expression across normal and tumor tissue (GENT2) portal (http://gent2.appex.kr/gent2/). The specific subtypes of leukemia-related datasets were selected for the gene expression study. Boxplot graphs of the expression levels of GBPs in normal tissue and specific leukemia subtypes (AML, ALL, and CLL) were constructed, and one-way ANOVA was used for statistical analysis. The box plot represents the lower, median, and upper quartiles, and the whiskers represent the 95% confidence interval of the mean. The sample sizes of each gene group were indicated in the figure. Asterisks indicate statistically significant differences (**P < 0.01; ***P < 0.001). b To study the correlation of BAK and GBPs, the Pearson correlation coefficient was used to assess the co-expression of GBP2 and BAK genes in AML patients by analyzing the paired microarray data of AML patients extracted in (a). The estimated regression lines superimposed on the scatter plot of BAK with GBPs mRNAs, correlation coefficient (R), and the sample size are shown. c To study the prognostic value of the GBP gene family using their mRNA expression levels, the survival data of both leukemia and lymphoma patients were extracted from the subtype profiler of GENT2. Based on the median gene expression levels, patient data were divided into high expression and low expression groups. Overall survival curves were plotted for CN-AML, DLBCL, and CHL patients in relation to GBP expression levels (n = 277). The log-rank (Mantel–Cox) test was used to compare the survival distributions of patients with high and low expression of GBP genes. The hazard ratio (HR) together with the 95% CI and the P value of log-rank test are presented.