Brain Sciences (May 2022)

A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes

  • Yusheng Shen,
  • Hao Chi,
  • Ke Xu,
  • Yandong Li,
  • Xisheng Yin,
  • Shi Chen,
  • Qian Yang,
  • Miao He,
  • Guohua Zhu,
  • Xiaosong Li

DOI
https://doi.org/10.3390/brainsci12060700
Journal volume & issue
Vol. 12, no. 6
p. 700

Abstract

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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.

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