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

An eight-gene regulatory B cell-related prognostic signature for head and neck squamous cell carcinoma (HNSCC) was developed by Junyan He and published on figshare in April 2026. The model was constructed using data from The Cancer Genome Atlas (TCGA) and validated with cohorts from TCGA and the Gene Expression Omnibus (GEO). It links gene expression to patient survival, tumor mutation burden, immune cell infiltration, and potential drug sensitivity.

Use Cases

• Predicting patient survival outcomes in head and neck squamous cell carcinoma based on the eight-gene Breg-related signature.
• Analyzing associations between gene signature risk scores and tumor mutation burden (TMB) or immune checkpoint expression.
• Investigating immune cell infiltration patterns in HNSCC tumors using techniques like ESTIMATE mentioned in the description.
• Identifying potential drug sensitivities for HNSCC patients based on the prognostic model's risk stratification.
• Exploring the functional role of specific genes like OLR1 in immune evasion and oncogenesis in HNSCC.

Strengths

• The prognostic model is an eight-gene signature, providing a specific, focused biomarker set.
• Validation was performed using independent cohorts from TCGA and GEO databases, suggesting robustness.
• Analysis integrates multiple data types: gene expression, survival, tumor mutation burden, and immune infiltration.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.8 MB DOCX, which may require extraction or conversion for computational analysis.

Provenance

Source

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

Collection Method

Analysis involved consensus clustering, univariate Cox regression, LASSO Cox regression, multivariate Cox regression, WGCNA, and GSEA.

Time Range

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Freshness

Last updated 2026-04-10 05:58:12.

Geography

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