HNSCC Multi-Omics Analysis: CD44 and APP Causal Targets via Lactylation-MR

Xi Zhang published a dataset on figshare in May 2026 containing results from an integrated lactylation-Mendelian randomization analysis of head and neck squamous cell carcinoma (HNSCC). The 5.8 MB Excel file likely contains statistical results identifying CD44 and APP as causal risk genes, derived from three public transcriptomic cohorts (53 HNSCC vs. 53 controls) and a set of 2,124 lactylation-related genes. The analysis framework merged lactylation proteomics, transcriptomics, and Mendelian randomization with validation in The Cancer Genome Atlas and cell lines.

Use Cases

• Validate causal gene candidates for HNSCC based on Mendelian randomization results.
• Investigate metabolic-immune crosstalk in cancer based on lactylation-associated differentially expressed genes.
• Correlate gene expression with immune cell infiltration patterns based on CIBERSORT deconvolution results.
• Explore pathway enrichment for mTOR signaling and ECM-receptor interaction based on functional profiling data.

Strengths

• Integrates data from three public transcriptomic cohorts totaling 106 samples (53 HNSCC vs. 53 controls).
• Analyzes a systematically compiled set of 2,124 lactylation-related genes.
• Includes experimental validation in an independent TCGA 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.
• Data may reflect bias inherent to the specific public cohorts analyzed.

Provenance

Source

Xi Zhang via figshare.

Collection Method

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

Freshness

Last updated 2026-05-28 09:04:46; freshness should be verified.