PA.Sig: A Cell Death Program-Based Prognostic Signature for Glioma

A transcriptomic and clinical dataset from TCGA-GBMLGG and external cohorts used to construct a pyroptosis–apoptosis–associated gene signature (PA.Sig) for glioma. The dataset was created by Huaichao Zhang and last updated in May 2026. It likely contains gene expression data and associated clinical outcomes for stratifying patient risk.

Use Cases

• Stratifying glioma patient prognosis based on a cell death-associated gene signature.
• Analyzing tumor immune microenvironment characteristics associated with high-risk tumors.
• Investigating malignant cell states and intercellular communication patterns using single-cell RNA sequencing data.
• Validating the relationship between chemotherapy response and apoptotic/pyroptotic cell death in vitro.

Strengths

• Data is derived from established sources including the TCGA-GBMLGG cohort.
• The signature was validated in external cohorts, suggesting reproducibility.
• Analysis integrates multi-omics data, including transcriptomics, genomics, and single-cell RNA sequencing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file is a 1.5 MB PDF, which may contain summarized results rather than raw data tables.

Provenance

Source

TCGA-GBMLGG and external validation cohorts, shared via figshare.

Collection Method

Integrative survival modeling of transcriptomic and clinical data.

Freshness

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