ArticleDiscover oncology2022
Comprehensive analysis of pyroptosis regulation patterns and their influence on tumor immune microenvironment and patient prognosis in glioma.
Article in Discover oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Identification of NFE2L2 as a key biomarker associated with pyroptosis in gliomas through bioinformatics and experiments.Scientific reports · 2026Article
- Gasdermin as a Molecular Signature and Predictor of Adult-Type Diffuse Glioma Severity and Grading.Journal of clinical medicine · 2026Article
- Decoding the molecular mechanisms of pyroptosis and its therapeutic development prospects.Frontiers in cell and developmental biology · 2026Review
- Sulphonamide derivatives with a triazine core as novel inducers of apoptosis and pyroptosis in glioblastoma multiforme cells.Journal of enzyme inhibition and medicinal chemistry · 2025Article
- Advances in non-apoptotic regulated cell death: implications for malignant tumor treatment.Frontiers in oncology · 2025Review
- Hyaluronic acid metabolism and chemotherapy resistance: recent advances and therapeutic potential.Molecular oncology · 2024Review
- Dysregulation of inflammasome activation in glioma.Cell communication and signaling : CCS · 2023Review
- Pyroptosis-related gene-based prognostic signature for predicting the overall survival of oral squamous cell carcinoma patients.Frontiers in surgery · 2022Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundGlioma is the most common intracranial malignancy with a poor prognosis. Although remarkable advances have been made in the study of diagnostic and prognostic biomarkers, the efficacy of current treatment strategies is still unsatisfactory. Therefore, developing novel and reliable targets is desperately needed for glioma patients. Pyroptosis reshapes tumor immune microenvironment (TME) and promotes the destruction of the tumor by the immune system. Moreover, pyroptosis levels correlate with prognosis and immunotherapy response in many cancer patients. This study performed a comprehensive analysis of pyroptosis in the glioma, unveiling its potential value in glioma prognosis prediction and therapy efficacy.
methodsFirstly, the pyroptosis regulation patterns were comprehensively evaluated on 33 pyroptosis-related genes in 1716 glioma samples. The correlations were analyzed between pyroptosis regulation patterns and TME immune cell infiltration properties. Next, pyroptosis regulation patterns were measured by the PSscore model based on principal component analysis algorithms. The correlations were analyzed between PSscore and tumor mutational burden (TMB), immune checkpoint blockade (ICB) therapeutic advantages. Last, the findings were validated in an independently collected external clinical cohort.
resultsWe determined two distinct pyroptosis regulation patterns. The cluster-A was high immune cell infiltration with a poor prognosis (p < 0.001), whereas the cluster-B was low immune cell infiltration with a better prognosis (p < 0.001). We developed the PSscore as a measure for pyroptosis regulation patterns. The high PSscore with an inflamed TME phenotype, a high TMB (p < 0.0001), increased innate immune response, and a poor prognosis (p < 0.001). It was in stark contrast to the low PSscore (p < 0.001). Analysis of PSscore with checkpoint therapy indicated high PSscore were correlated with enhanced response to anti-PD-1 immunotherapy (p = 0.0046). For validation, we utilized in vitro experiments on an external clinical cohort. The results demonstrated that GSDMD expression level in the high PSscore group was significantly upregulated compared to the low PSscore group (p < 0.001); the CD3+ T cells and the CD3+PD-1+ cells significantly increased in the high PSscore group compared to the low PSscore group (p < 0.01).
conclusionsThe PSscore of pyroptosis regulation pattern is a reliable biomarker, and it is valuable to predict prognosis, TME, and ICB therapeutic efficiency in glioma patients.
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