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

Yusheng Shen1, Hao Chi2, Ke Xu3

  • 1Department of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.

Brain Sciences
|June 24, 2022
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Summary

Pyroptosis influences the lower-grade glioma tumor microenvironment. A new PyroScore model predicts patient prognosis and response to immunotherapy and targeted therapy.

Keywords:
immunotherapylower-grade gliomapyroptosistargeted therapy

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Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Pyroptosis is key in tumor-immune microenvironment modulation.
  • Its role in lower-grade glioma (LGG) concerning therapy remains unclear.

Purpose of the Study:

  • Investigate pyroptosis gene variations in LGG.
  • Develop a model to predict LGG patient prognosis and therapeutic response.

Main Methods:

  • Analyzed 33 pyroptosis-related genes in LGG and normal tissues.
  • Utilized lasso-cox regression to build the PyroScore model.
  • Performed in silico analysis for treatment sensitivity prediction.

Main Results:

  • Identified significant genetic and expression alterations in LGG.
  • Discovered two distinct pyroptosis phenotypes in LGG with different characteristics.
  • The PyroScore model stratified LGG patients by prognosis and immune microenvironment.

Conclusions:

  • Pyroptosis is a significant factor in LGG heterogeneity and prognosis.
  • PyroScore aids in stratifying LGG patients and predicting immunotherapy/targeted therapy benefits.
  • Findings support personalized management strategies for LGG.