Table 6_Metabolic-immune crosstalk in head and neck squamous cell carcinoma: CD44 and APP

Xi Zhang's dataset presents results from an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis of head and neck squamous cell carcinoma. The data likely contains findings from differential expression analysis across three public transcriptomic cohorts (53 HNSCC vs. 53 controls) and Mendelian randomization results identifying CD44 and APP as causal risk genes. The dataset was last updated on 2026-05-28.

Use Cases

• Validate causal gene candidates for HNSCC based on integrated lactylation and Mendelian randomization results.
• Investigate correlations between gene expression and immune cell infiltration based on CIBERSORT deconvolution analysis mentioned in the description.
• Explore pathway enrichment for mTOR signaling and ECM-receptor interaction based on functional profiling of CD44 and APP.

Strengths

• Analysis integrates data from three public transcriptomic cohorts totaling 106 samples.
• Mendelian randomization analysis used large-scale genetic instruments from expression quantitative trait locus data.
• Findings were validated in an independent The Cancer Genome Atlas dataset and HNSCC cell lines.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 83.3 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Integrative analytical framework merging lactylation proteomics, transcriptomics, and Mendelian randomization.

Freshness

Last updated 2026-05-28 09:04:47; freshness should be verified.