Breg-Related Gene Signature for Head and Neck Squamous Cell Carcinoma Prognosis

An eight-gene prognostic signature derived from TCGA-HNSCC and GEO cohorts predicts survival and immune landscape in head and neck squamous cell carcinoma. The dataset, published by Junyan He on figshare in April 2026, includes analyses linking the signature to tumor mutation burden, immune checkpoint expression, and drug sensitivity. The underlying data is likely tabular, containing gene expression and associated clinical or analytical results.

Use Cases

• Building prognostic models for HNSCC patient survival based on an eight-gene Breg-related signature.
• Analyzing correlations between gene signature risk scores and tumor mutation burden (TMB).
• Investigating associations between the prognostic signature and immune checkpoint molecule expression.
• Predicting patient sensitivity to pharmacological agents based on the gene signature risk score.
• Exploring immune cell infiltration patterns in HNSCC tumors using ESTIMATE and related techniques.

Strengths

• Signature validated across multiple cohorts from TCGA and GEO databases.
• Includes analyses linking the model to tumor mutation burden, immune checkpoints, and drug sensitivity.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 8.5 KB file size suggests a limited, likely summary-level dataset rather than raw expression data.

Provenance

Source

The Cancer Genome Atlas (TCGA)-HNSCC and Gene Expression Omnibus (GEO) databases.

Collection Method

Analysis involved consensus clustering, Cox regression (univariate, LASSO, multivariate), WGCNA, GSEA, and immune infiltration assessment.

Time Range

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Freshness

Last updated 2026-04-10 05:58:09; freshness should be verified.

Geography

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