Breg-Related Gene Signature for Head and Neck Cancer Prognosis and Immune Analysis

A study published in 2026 by Junyan He presents an eight-gene regulatory B cell-related prognostic signature derived from TCGA-HNSCC and GEO cohorts. The dataset, shared on figshare under a CC-BY-4.0 license, is used to predict survival, immune cell infiltration, and drug sensitivity in head and neck squamous cell carcinoma. The analysis includes associations with clinicopathological features, tumor mutation burden, and immune checkpoint expression.

Use Cases

• Predicting patient survival outcomes based on an eight-gene Breg-related signature.
• Analyzing associations between gene signature risk scores and tumor mutation burden.
• Investigating links between the prognostic signature and immune checkpoint molecule expression.
• Assessing potential drug sensitivity in HNSCC based on the gene signature risk profile.
• Exploring immune cell infiltration patterns in tumors using ESTIMATE and related techniques.

Strengths

• Signature validated across multiple cohorts from TCGA and GEO databases.
• Analysis includes eight specific genes, with OLR1 identified as the most essential.
• Integrates multiple analysis types: survival modeling, immune infiltration assessment, and functional experiments.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset size is 18.5 KB, indicating limited raw data scope.

Provenance

Source

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

Collection Method

Analysis using consensus clustering, Cox regression (univariate, LASSO, multivariate), WGCNA, GSEA, and ESTIMATE.

Time Range

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Freshness

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

Geography

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