Essential Thrombocythemia Gene Expression and Immune Infiltration Analysis

Eleven key differentially expressed genes were identified from seven GEO microarray datasets. The logistic regression model achieved AUCs of 0.846 and 0.863 in training and test sets. This research by Yeqiong Li links IL-17 and NOD-like receptor signaling to megakaryocyte dysfunction in ET.

Use Cases

• Diagnostic model development based on the identified eleven-gene signature
• Immune cell infiltration analysis based on CIBERSORT results for B, T, and NK cells
• Functional pathway investigation based on IL-17 and NOD-like receptor signaling links
• Gene expression validation based on qRT-PCR results for BP1, MMP8, and CEACAM8

Strengths

• Analysis includes seven publicly available microarray datasets from GEO
• Functional validation was performed via shRNA knockdown, CCK-8, apoptosis detection, and Western blot
• Diagnostic model achieved AUCs of 0.846 (training) and 0.863 (test set)

Limitations

• Dataset is a 218.2 KB DOCX file, likely containing processed results rather than raw data
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Data retrieved from GEO database, preprocessed with limma and SVA packages, analyzed with RRA, CIBERSORT, logistic regression, LASSO, and functional assays.

Freshness

Last updated 2026-04-29 05:40:44; freshness should be verified