MTMR2 Biomarker: Lipid Metabolism Gene Expression in Acute Myeloid Leukemia

A candidate biomarker dataset for Acute Myeloid Leukemia derived from transcriptomic analysis of lipid metabolism-related genes. The dataset was created by Chenchen Liu and last updated on 2026-05-29. It is a small dataset (14.1 KB) containing results from differential expression, machine learning feature selection, and clinical validation analyses.

Use Cases

• Validate MTMR2 as a diagnostic biomarker for AML based on its reported upregulation.
• Investigate associations between gene expression and patient survival based on Kaplan-Meier analysis results.
• Explore links between lipid metabolism genes and immune infiltration patterns in AML samples.
• Correlate transcriptomic findings with clinical lipid parameters like ApoA1, LDL-C, and TG levels.

Strengths

• Dataset is licensed under CC-BY-4.0, allowing for open sharing and adaptation.
• Analysis integrates results from multiple public datasets (GSE114868, GSE9476) and an independent clinical cohort.
• Candidate biomarker identification employed multiple methods including WGCNA, LASSO regression, random forest, and SVM-RFE.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small (14.1 KB), suggesting it contains summary results rather than raw expression data.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Analysis of expression profiles from public datasets GSE114868 and GSE9476, with validation via RT-qPCR in a clinical cohort.

Freshness

Last updated 2026-05-29 04:48:59; freshness should be verified.