DLBCL Fatty Acid Metabolism Gene Signature for Prognostic Prediction

A 1.4 MB dataset from figshare authored by Shuai Wang in April 2026 contains a fatty acid metabolism-related gene signature (FAMscore) developed for diffuse large B-cell lymphoma. The FAMscore was derived from transcriptomic data from the Gene Expression Omnibus and validated with quantitative PCR and single-cell RNA sequencing. It serves as an independent prognostic factor, correlating with overall survival and immune microenvironment characteristics.

Use Cases

• Predicting patient survival risk based on the FAMscore prognostic signature.
• Characterizing the tumor immune microenvironment based on the FAMscore's association with immunosuppressive profiles.
• Investigating the role of specific fatty acid metabolism genes like CPT1A in lymphoma cell proliferation.
• Building a prognostic nomogram integrating FAMscore with cell-of-origin subtype and International Prognostic Index score.

Strengths

• Dataset includes a validated prognostic signature (FAMscore) derived from multiple data sources.
• The underlying gene expression data originates from the authoritative Gene Expression Omnibus (GEO) database.
• Validation methods include quantitative real-time PCR and single-cell RNA sequencing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.4 MB DOCX document, which may not be a standard data format for direct analysis.

Provenance

Source

Gene Expression Omnibus (GEO) database.

Collection Method

Transcriptomic data analysis and integrative machine learning pipeline.

Freshness

Last updated 2026-04-10 06:02:46; freshness should be verified.