To evaluate the potential susceptibility to immunomodulatory-based treatments of the different genotypes, the immunophenoscore (IPS), a machine learning-based classifier based on the expression of HLA genes, immunomodulators, effector, and suppressor cells, capable of predicting the relative sensitivity to immune checkpoint inhibitors (ICIs), was highest in PDGFRA-mutant GIST [38]. This evidence concerns the gene PDGFRA and gastrointestinal stromal tumor.