Fig. 5

Correlation between FA gene expression and mutation. We utilized the “SVA” R package to calibrate gene expression matrices within the BeatAML, TARGET-AML, and TCGA-LAML cohorts. We then conducted a PCA analysis using the “prcomp” function and “ggplot2” (a). Next, we analyzed the expression difference of each FA gene between the wild-type (Wt) and overall mutant-type (Mut) of FA pathway genes using the Wilcox test and “ggplot2” R package (b). We also performed the Wilcox test to examine the correlation between mutation and expression of specific FA pathway genes, such as XRCC2, BRCA1, FANCE, FAAP100, FANCC, MAD2L2, and FANCA. The results were visualized using the “ggviolin” function from the “ggpubr” package (c)