Multimodal Programmed Cell Death lncRNAs in Glioma Prognosis and Immunity

A prognostic risk model for glioma based on key lncRNAs associated with multiple programmed cell death pathways. The dataset, shared by Shuaishuai Wu on figshare under CC-BY-4.0, includes results validating the model's key molecule, AC092718.4, which was shown to alter glioma cell proliferation and invasion.

Use Cases

• Constructing prognostic risk models for glioma patients based on programmed cell death-associated lncRNAs.
• Analyzing the relationship between lncRNA expression and immune function in glioma.
• Validating bioinformatics-derived biomarkers through functional experiments on glioma cells.
• Stratifying glioma patient risk to inform personalized treatment strategies.

Strengths

• Includes validation data from functional experiments on the key molecule AC092718.4.
• Dataset is openly licensed under CC-BY-4.0.
• Model integrates multiple programmed cell death pathways.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Dataset is small (26.7 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Constructed through bioinformatics analysis of multiple PCD pathways.

Freshness

Last updated 2026-05-14 04:29:51; freshness should be verified.