Identification of PANoptosis-related predictors for prognosis and tumor microenvironment by multiomics analysis in glioma

Fengzeng Sun ¹, Miaomiao Liao ¹, Zi Tao ¹

⁰College of Biomedicine and Health, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China.

Journal of Cancer +

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April 5, 2024

View abstract on PubMed

Summary

PANoptosis-related genes (PANRGs) are frequently mutated in glioma. This study identified four key PANRGs as predictors for glioma prognosis and potential therapeutic targets, offering insights into individualized treatment strategies.

Area Of Science

Oncology
Cell Death Research
Genomics

Background

PANoptosis, a novel inflammatory programmed cell death, involves pyroptosis, apoptosis, and necroptosis.
The role of PANoptosis-related genes (PANRGs) in glioma progression remains largely unexplored.
Identifying prognostic biomarkers and therapeutic targets is crucial for improving glioma patient outcomes.

Purpose Of The Study

To investigate the function of PANoptosis-related genes (PANRGs) in glioma.
To identify PANRG-based predictors for glioma prognosis and therapeutic targeting.
To explore the correlation between PANRG expression and the tumor microenvironment (TME).

Main Methods

Analysis of bulk and single-cell RNA sequencing data from TCGA, CGGA, and GEO databases.
Consensus clustering to identify glioma subtypes based on PANRGs.
LASSO-Cox regression to determine PANoptosis-related predictors.
Correlation analysis with TME characteristics, immunotherapy response scores, and drug associations.
Validation in clinical samples and cell experiments.

Main Results

High mutation frequency of PANRGs observed in glioma.
Two distinct PANoptosis-associated glioma subtypes identified with different prognostic and TME features.
Four PANoptosis-related predictors (MYBL2, TUBA1C, C21orf62, KCNIP2) identified.
A predictive PANRG score model revealed correlations with TME, including immune cell infiltration and immunotherapy response.
Knockdown of MYBL2 and TUBA1C inhibited glioma cell proliferation and migration.
16 potential drugs associated with PANoptosis-related predictors were identified.

Conclusions

PANoptosis-related genes hold significant prognostic value in glioma.
The identified PANRG predictors can inform glioma prognosis and potential immunotherapy benefits.
MYBL2 and TUBA1C function as oncogenes in glioma, suggesting therapeutic potential.
These findings provide valuable insights for developing individualized glioma treatments.

Keywords:

Glioma MYBL2 PANoptosis Prognostic model TUBA1C Tumor immune microenvironment

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