Multi-omics Investigation of Perineural Invasion in Head and Neck Squamous Cell Carcinoma

Muling Deng published a multi-omics dataset on figshare in May 2026. The data supports an investigation into perineural invasion in head and neck squamous cell carcinoma, integrating transcriptomic, proteomic, single-cell, and spatial transcriptomic data. The file is 118.7 KB and is licensed under CC-BY-4.0.

Use Cases

• Constructing prognostic risk models based on the protein signature (ADIPOQ, MB, PLIN1, ADH1B) described in the results.
• Analyzing immune cell infiltration patterns, such as CD8+ T-cell, B-cell, and Tfh-cell levels, in relation to perineural invasion status.
• Investigating neuroactive signaling and extracellular matrix changes associated with perineural invasion using multi-omics data.
• Exploring super-enhancer-associated candidate genes (MYL4, CMYA5, TNNT3) linked to perineural invasion biology.
• Studying spatial correlations between perineural invasion scores, neural programs, and TLR2-related signaling at the tumor invasive front.

Strengths

• Dataset integrates multiple omics layers (transcriptomic, proteomic, single-cell, spatial transcriptomic) for a holistic view.
• Includes functional validation data from pharmacologic inhibition experiments using the TLR2 inhibitor C29 in FaDu cells.
• License is permissive (CC-BY-4.0), allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is small (118.7 KB), indicating limited scope or a summary-level dataset rather than raw, large-scale data.

Provenance

Source

figshare

Collection Method

Integrative multi-omics analysis using public datasets and an independent clinical cohort.

Freshness

Last updated 2026-05-12 05:43:51; freshness should be verified.