Similar to other studies, Chen and his colleagues (55) used ssGSEA to identify the immune microenvironment of glioma, and they did not classify glioma samples into immune phenotypes or detect the corresponding microenvironmental features of the phenotypes; however, they detected eight glioma microenvironment-associated genes, CCDC109B, EMP3, ANXA2, CLIC1, TIMP1, VIM, LGALS1, and RBMS1, and constructed a prognostic model with them through integrative omics data points. Here, LGALS1 is linked to glioma.