Using a machine learning framework consisting of LASSO, RSF, XgBoost, Enet, CoxBoost, and Boruta, the authors identified seven RCD genes as potential therapeutic targets in glioma, including SLC43A3, which is highly expressed in gliomas. Here, SLC43A3 is linked to glioma.