Metabolic-Immune Crosstalk in Head and Neck Squamous Cell Carcinoma

Xi Zhang published a dataset on figshare in May 2026 supporting a study on head and neck squamous cell carcinoma (HNSCC). The data underpins an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis. It likely contains results identifying CD44 and APP as causal therapeutic targets.

Use Cases

• Validate causal gene candidates for HNSCC based on Mendelian randomization results.
• Investigate links between protein lactylation and gene expression using the integrated multi-omics framework.
• Explore associations between candidate genes and immune cell infiltration patterns via CIBERSORT deconvolution.
• Replicate differential expression analysis across the three public transcriptomic cohorts mentioned.

Strengths

• Integrates data from three public transcriptomic cohorts totaling 106 samples (53 HNSCC vs. 53 controls).
• Analysis includes a systematically compiled set of 2,124 lactylation-related genes.
• Results 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 129.8 KB, indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare

Collection Method

Integrative analysis merging lactylation proteomics, transcriptomics, and Mendelian randomization using public cohorts and GWAS summary statistics.

Freshness

Last updated 2026-05-28 09:04:49