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

212 lactylation-associated differentially expressed genes were analyzed from three public transcriptomic cohorts totaling 53 HNSCC patients and 53 controls. The dataset, authored by Xi Zhang and last updated in May 2026, presents results from an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis. It identifies CD44 and APP as causal genetic risk factors for head and neck squamous cell carcinoma.

Use Cases

• Validate causal gene candidates for HNSCC based on Mendelian randomization results.
• Investigate the role of protein lactylation in cancer progression using the compiled list of 2,124 lactylation-related genes.
• Correlate gene expression signatures with immune cell infiltration patterns, such as M0 and M2 macrophages, using the provided functional profiles.
• Benchmark multi-omics integration frameworks for identifying therapeutic targets in other cancer types.

Strengths

• Analysis integrates data from three public transcriptomic cohorts with 53 HNSCC patients and 53 controls.
• The study employs a systematic framework merging lactylation proteomics, transcriptomics, and Mendelian randomization.
• 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 in size (81.0 KB), indicating limited scope or summary-level data.

Provenance

Source

figshare, author Xi Zhang.

Collection Method

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

Freshness

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