A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes.
Yusheng ShenHao ChiKe XuYandong LiXisheng YinShi ChenQian YangMiao HeGuohua ZhuXiaosong LiPublished in: Brain sciences (2022)
Recent studies demonstrated that pyroptosis plays a crucial role in shaping the tumor-immune microenvironment. However, the influence of pyroptosis on lower-grade glioma regarding immunotherapy and targeted therapy is still unknown. This study analyzed the variations of 33 pyroptosis-related genes in lower-grade glioma and normal tissues. Our study found considerable genetic and expression alterations in heterogeneity among lower-grade gliomas and normal brain tissues. There are two pyroptosis phenotypes in lower-grade glioma, and they exhibited differences in cell infiltration characteristics and clinical characters. Then, a PyroScore model using the lasso-cox method was constructed to measure the level of pyroptosis in each patient. PyroScore can refine the lower-grade glioma patients with a stratified prognosis and a distinct tumor immune microenvironment. Pyscore may also be an effective factor in predicting potential therapeutic benefits. In silico analysis showed that patients with a lower PyroScore are expected to be more sensitive to targeted therapy and immunotherapy. These findings may enhance our understanding of pyroptosis in lower-grade glioma and might help optimize risk stratification for the survival and personalized management of lower-grade glioma patients.
Keyphrases
- nlrp inflammasome
- end stage renal disease
- chronic kidney disease
- stem cells
- ejection fraction
- newly diagnosed
- poor prognosis
- single cell
- prognostic factors
- peritoneal dialysis
- deep learning
- genome wide
- molecular docking
- cell therapy
- multiple sclerosis
- long non coding rna
- case report
- molecular dynamics simulations
- blood brain barrier
- data analysis