Table 2_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 causal risk genes identified from three public transcriptomic cohorts totaling 53 HNSCC and 53 control samples, overlapped with a compiled set of 2,124 lactylation-related genes. The dataset was last updated on 2026-05-28.

Use Cases

• Validate causal gene candidates for HNSCC based on Mendelian randomization results.
• Investigate the role of lactylation-related genes in cancer progression using the compiled gene set.
• Correlate gene expression signatures with immune cell infiltration patterns based on CIBERSORT deconvolution results.
• Explore functional pathway associations (e.g., mTOR signaling, ECM-receptor interaction) for identified risk genes.

Strengths

• Integrates data from three public transcriptomic cohorts with 53 HNSCC and 53 control samples.
• Analyzes a systematically compiled set of 2,124 lactylation-related genes.
• Employs a multi-omics causal inference framework combining lactylation proteomics, transcriptomics, and Mendelian randomization.

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 very small at 14.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Integrative analytical framework merging lactylation proteomics, transcriptomics, and Mendelian randomization analysis of public cohorts.

Freshness

Last updated 2026-05-28 09:04:49; freshness should be verified.