Exploring Heterogeneity Across Diverse Regulated-Cell Death Patterns in Glioma

Abstract Background Glioma stands out as the most malignant ailment affecting the central nervous system. Regulated cell death, orchestrated by a multitude of genes, serves as a pivotal determinant in shaping cellular destiny and significantly contributes to tumor advancement. However, there is a dearth of literature delving into the evolution of glioma disease through the prism of cell death patterns. Hence, our objective is to delve into the pertinent molecular mechanisms underlying glioma, with a specific focus on the potential role of regulated cell death. Results Different patterns of regulated cell death collectively contribute to the progression of glioma. Clusters characterized by relatively specific high expression of alkalosis and netotic cell death exhibit relatively malignant clinical features. Through differential gene screening, we constructed a prognostic signature consisting of genes such as TIMP1. This model demonstrates good prognostic predictive ability, with its scoring reflecting the progression of glioma. Finally, experimental validation of TIMP1 confirms its involvement in the progression of malignant cells. Conclusion These findings provide new insights into understanding the relationship between regulated cell death and glioma development and identify novel biomarkers may help to guiding precise treatments to glioma.