A Pyroptosis-Related Gene Prognostic Index Correlated with Survival and Immune Microenvironment in Glioma

• DOI: 10.2147/jir.s341774
• Publication Date: 2022-01-03T11:12:26Z
• Authors: Jianglin Zheng; Zijie Zhou; Yue Qiu; Minjie Wang; Hao Yu; Zhipeng Wu; Xuan Wang; Xiaobing Jiang
• Keywords: Pyroptosis; Nomogram

As an inflammatory form of programmed cell death, pyroptosis has been well established to be associated with tumorigenesis and tumor immune microenvironment. In this paper, we aimed at the construction a pyroptosis-related gene prognostic index (PRGPI) for predicting prognosis guiding individualized immunotherapy in glioma patients.Pyroptosis-related genes (PRGs) were identified based on detailed review published literatures. The transcriptome data clinical information patients obtained from CGGA TCGA databases. PRGPI was constructed by using multivariate Cox regression method. infiltration level analyzed via CIBERSORT algorithm. dysfunction exclusion (TIDE) algorithm applied evaluate potential response checkpoint inhibitor (ICI) therapy. expression patterns PRGs validated lines pathological specimens.We total 31 PRGs. Among them, (CASP3, DPP9, MAPK8, PELP1 TOMM20) selected PRGPI. both training (CGGA693) validation (CGGA325 TCGA) cohorts, PRGPI-high showed inferior survival outcome compared PRGPI-low patients. ROC curves illustrated that prediction power robust. A nomogram developed independent indicators (PRGPI, age WHO grade), also exhibited strong forecasting ability overall (OS). Additionally, higher immune, stroma ESTIMATE scores, lower purity, M2-type macrophages, CD8+ T cells activated NK cells, mutation burden (TMB), checkpoints. TIDE group had more responders ICI therapy than group. Finally, five significantly different between normal glioma.The can used