Prognostic implications of immune-related eight-gene signature in pediatric brain tumors

Genomic studies have provided insights into molecular subgroups and oncogenic drivers of pediatric brain tumors (PBT) that may lead to novel therapeutic strategies. Participants the cohort Pediatric Brain Tumor Atlas: CBTTC (CBTTC cohort), were randomly divided training validation cohorts. In cohort, Kaplan-Meier analysis univariate Cox regression model applied preliminary screening prognostic genes. The LASSO was implemented build a multi-gene signature, which then validated in cohorts through Kaplan-Meier, Cox, receiver operating characteristic curve (ROC) analyses. Also, gene set enrichment (GSEA) immune infiltrating analyses conducted understand function annotation role signature tumor microenvironment. An eight-gene built, examined by analysis, revealing significant overall survival difference seen, either or further proven be independent other clinic-pathologic parameters via Moreover, ROC demonstrated this owned better predictive power PBT prognosis. Furthermore, GSEA showed had close interactions with immune-related pathways closely related CD8 T cells monocytes environment. Identifying (CBX7, JADE2, IGF2BP3, OR2W6P, PRAME, TICRR, KIF4A, PIMREG) could accurately identify patients' prognosis immunodominant environment, provide insight personalized prediction new therapies for patients.