Exploring key genes and potential therapeutic and predictive targets between pyroptosis genes and adult extent of malignant glioma based on bioinformatics analysis

Background: Adult glioma is the most common primary nervous system tumor, and there is a direct link between the grade of glioma and the prognosis of the patient. Furthermore,its treatment is still very challenging. Pyroptosis is another research direction that has made breakthroughs in recent years, and it has been confirmed that it plays an important role in a variety of tumors. We are currently focusing on analyzing the data and clinical data of a large number of pyroptosis genes, exploring the regulatory mechanism of tumor cell pyroptosis and the potential role of pyroptosis in cancer, in order to explore potential cancer diagnosis and treatment markers, for The pursuit of personalized or precise treatment provides new ideas and directions. Design: Bioinformatics analysis of GEO database,TCGA database and GSEA data. Method: ology: Differential gene expression, Prognostic Network Construction, Construction of a prognostic model, Differential analysis of tumor microenvironment, immune cell expression, Tumor mutation burden correlation analysis, stem cell correlation analysis, drug sensitivity analysis Conclusions: : We have identified differential genes with high mutation frequencies in adult gliomas, as well as key genes associated with cell scorch and differentially expressed in different extent of malignant glioma, followed by theoretical validation and construction of prognostic models and assessment of high- and low-risk, and analysis of immune infiltration, tumor mutational load, tumor microenvironment, stem cell relevance, and drug sensitivity, revealing potential prognostic and predictive targets.