Abstract: CGGA(Chinese glioma genome atlas) and TCGA(the cancer genome atlas) databases were used to mine glioma prognostic marker-related genes, combined with differential analysis, survival analysis, co-expression analysis, clinical correlation analysis and ROC curve to evaluate the predictive ability, and TCGA verification, PLAT, IGFBP2, BCAT1 and SERPINH1 genes that can be used as independent prognostic markers were got. The analysis showed that these four genes not only are independent prognostic factors, but also have good prognostic prediction ability in different populations, indicating that those genes have potential application value. Then the analysis of SERPINH1 splicing events reveals that they are important factors affecting the prognosis of patients, which will provide a basis for further understanding the characteristics of prognostic genes in glioma.

Key words: lioma, survival analysis, prognostic marker gene, alternative splicing