SH3GLB1 and central nervous system cancer: Likewise, Zhang H. et al. (2017) suggested that glioma patients from the CGGA, GSE4412, and TCGA datasets can be separated into high- and low-risk subclasses based upon levels of MAPK8IP1 and SH3GLB1 expression.