TSPAN32 Biomarker Data for Lung Adenocarcinoma Prognosis and Radiosensitivity

A 12-gene risk score model from TCGA genomic data predicts prognosis and correlates with immune infiltration in lung adenocarcinoma. The dataset includes experimental validation results for the key gene TSPAN32, showing its role in inhibiting cell proliferation and enhancing radiosensitivity. Author Guomin Huang published this 776.2 KB Excel file under a CC-BY-4.0 license in April 2026.

Use Cases

• Validate a 12-gene prognostic risk score model for lung adenocarcinoma based on the described methodology
• Analyze the correlation between TSPAN32 expression and immune cell infiltration in the tumor microenvironment
• Investigate the TSPAN32-PTEN signaling axis as a potential therapeutic target mentioned in the study
• Assess TSPAN32 as a predictive biomarker for patient response to combined radiotherapy and immunotherapy

Strengths

• Includes a validated 12-gene risk score model for prognosis prediction
• Contains in vitro and in vivo experimental validation results for the key biomarker TSPAN32
• Data is derived from The Cancer Genome Atlas (TCGA), an authoritative genomic database

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for large-scale ML
• The 776.2 KB file size indicates a limited scope, likely containing summary or processed results rather than raw genomic data

Provenance

Source

The Cancer Genome Atlas (TCGA)

Collection Method

Genomic data analysis and experimental validation in LUAD cell lines A549 and H1299

Time Range

null

Freshness

Last updated 2026-04-14 05:11:52; freshness should be verified

Geography

null