Table 7_Metabolic-immune crosstalk in head and neck squamous cell carcinoma: CD44 and APP

A multi-omics analysis identifies CD44 and APP as causal risk factors for head and neck squamous cell carcinoma. The dataset results from integrating lactylation proteomics, transcriptomics from three public cohorts (53 HNSCC vs. 53 controls), and Mendelian randomization analysis. It was authored by Xi Zhang and shared on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Validate causal gene candidates for HNSCC based on integrated lactylation and Mendelian randomization analysis.
• Investigate the link between metabolic pathways (e.g., mTOR signaling) and immune cell infiltration (e.g., M0/M2 macrophages) based on identified genes CD44 and APP.
• Prioritize biomarkers for lactylation pathway-based targeted interventions in HNSCC based on the identified causal risk factors.
• Replicate the multi-omics causal inference framework for other cancer types using the described analytical pipeline.

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.
• Findings were validated in an independent The Cancer Genome Atlas dataset and in 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 (6.7 KB), suggesting it contains summary results rather than raw multi-omics data.

Provenance

Source

figshare

Collection Method

Integrative analysis merging lactylation proteomics, transcriptomics, and Mendelian randomization.

Freshness

Last updated 2026-05-28 09:04:48; freshness should be verified.