Supplementary Table S1: Myeloma Gene Expression in Obese vs Normal BMI Patients

Fold change and p-value data from a LIMMA analysis of the CoMMpass dataset. The data compares myeloma cell gene expression between obese and normal BMI patients at diagnosis. The dataset was authored by Heather Fairfield and last updated on June 1, 2026.

Use Cases

• Identify differentially expressed genes in myeloma based on patient BMI status.
• Validate potential biomarkers linking obesity to accelerated multiple myeloma.
• Perform secondary analysis on gene expression fold changes and statistical significance.

Strengths

• Data is derived from the CoMMpass clinical study dataset.
• Includes statistical metrics (fold change and p-values) for gene expression comparisons.
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 1.6 MB file size suggests a small dataset, potentially limiting scope.

Provenance

Source

CoMMpass dataset via figshare.

Collection Method

LIMMA analysis of gene expression data.

Freshness

Last updated 2026-06-01 07:24:31; freshness should be verified.