Thymic Epithelial Tumor Genomic Data from a Meta-Analysis of 729 Patients

729 patient records from twenty studies were integrated into a unified dataset of somatic mutations in thymic epithelial tumors. The meta-analysis identified three molecular subgroups with distinct biological and clinical features, including GTF2I and TP53 mutations. This dataset, authored by Eleonora Pardini and last updated in March 2026, provides a refined genetic map to guide future research.

Use Cases

• Classifying tumor molecular subgroups based on GTF2I and TP53 mutation status.
• Analyzing mutational signatures to infer underlying biological processes like age-related changes or DNA repair deficiency.
• Identifying convergent oncogenic hubs and signaling dependencies across tumor subgroups.
• Correlating genetic alterations, such as epigenetic regulation or extracellular matrix changes, with clinical behavior.

Strengths

• Integrates data from 729 patients across twenty studies, addressing limitations of small sample sizes.
• Identifies three distinct molecular subgroups with clear biological and clinical correlates.
• License is CC-BY-4.0, permitting broad reuse with attribution.

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 DOCX document (776.3 KB), which may require extraction and formatting for computational analysis.

Provenance

Source

figshare

Collection Method

Systematic meta-analysis integrating single-variant data from twenty published studies.

Time Range

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Freshness

Last updated 2026-03-18 07:46:24; freshness should be verified.

Geography

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