PA.Sig: A Pyroptosis–Apoptosis Gene Signature for Glioma Prognosis and Immune Landscape

Huaichao Zhang's research dataset defines a prognostic cell death–associated gene signature (PA.Sig) for glioma. It was constructed using transcriptomic and clinical data from the TCGA-GBMLGG cohort and validated with external datasets. The dataset, last updated on 2026-05-21, is a 461.1 KB PDF file containing the research findings.

Use Cases

• Stratifying glioma patient prognosis based on the PA.Sig risk score.
• Analyzing associations between cell death signatures and tumor immune microenvironment features like immune dysfunction and exhaustion.
• Investigating links between the PA.Sig and malignant cell states, such as MES-like and AC/MES-like states, using single-cell RNA sequencing data.
• Evaluating therapeutic response to chemotherapeutic agents in relation to apoptotic and pyroptotic death programs.

Strengths

• The signature was validated using external cohorts beyond the primary TCGA-GBMLGG dataset.
• Analysis integrates multi-modal data, including genomic alteration profiling, pathway enrichment, and single-cell RNA sequencing.
• Functional validation was conducted in glioma cell lines treated with chemotherapeutic agents.

Limitations

• The dataset is a 461.1 KB PDF research paper; the underlying raw data tables are not directly provided.
• Column-level documentation for any potential supplementary data is absent; field semantics must be inferred from the paper.
• Row count for any associated data is unknown, which may limit suitability assessment for direct computational use.

Provenance

Source

figshare, authored by Huaichao Zhang.

Collection Method

Constructed through integrative survival modeling of transcriptomic and clinical data from TCGA-GBMLGG and external validation cohorts.

Freshness

Last updated 2026-05-21 04:39:03; freshness should be verified.