The invention provides a
gene marker combination and
system for predicting
glioma risk and application, and belongs to the technical field of
glioma prediction. The
gene marker combination comprises an NTN4
gene, an RBP1 gene, a TWIST1 gene, a GADD45G gene, an NUAK2 gene, a GRIK2 gene, a WEE1 gene and an RRM2 gene. Eight
senescence-related genes are screened by screening
senescence-related genes and combining
survival data of
glioma patients. The research finds that the risk scoring model constructed by using the eight
senescence-related genes can specifically and sensitively predict the glioma risk, and has good prediction efficiency. According to the method, the glioma
risk assessment model constructed on the basis of combining the risk scoring model with the clinical
pathological variable factors is established, and compared with the capability of predicting the glioma risk of the risk scoring model, the glioma
risk assessment model is better in prediction efficiency.