HMMR Biomarker Data for Oral Squamous Cell Carcinoma from TCGA and GEO Cohorts

Lingling Liu published transcriptomic data analysis on 2026-06-04. The dataset supports a study identifying hyaluronic acid mediated motility receptor (HMMR) as a prognostic biomarker in oral squamous cell carcinoma. It integrates data from the TCGA OSCC cohort and two GEO cohorts (GSE37991, GSE41613).

Use Cases

• Validate prognostic biomarkers for oral cancer based on HMMR expression levels.
• Analyze correlations between gene expression and immune cell infiltration based on Th2 and T helper cell data.
• Investigate gene associations with cell cycle pathways based on links to G2/M checkpoints and DNA repair.
• Perform multi-cohort bioinformatics analysis based on integrated TCGA and GEO data.

Strengths

• Analysis integrates data from three independent cohorts (TCGA OSCC, GSE37991, GSE41613).
• HMMR demonstrated strong predictive value with an AUC of 0.919 in ROC analysis.
• Identified 245 common differentially expressed genes across datasets.

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 (294.2 KB), indicating limited raw data scope.

Provenance

Source

TCGA and GEO databases (GSE37991, GSE41613).

Collection Method

Transcriptomic data integration, differential expression analysis (DESeq2), Cox regression, and functional enrichment analysis.

Freshness

Last updated 2026-06-04 22:02:17; freshness should be verified.