LUAD Prognostic Genes: Single-Cell and Mendelian Randomization Analysis Results

Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma were identified through integrated analysis. The dataset includes results from a risk model, nomogram, and immune microenvironment profiling validated by RT-qPCR in NSCLC cell lines. Author Jiaxin Li published the findings on figshare in March 2026.

Use Cases

• Validating prognostic gene signatures for lung adenocarcinoma based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Analyzing immune microenvironment composition based on the 13 differentially abundant immune cell types mentioned.
• Building predictive models for 1-, 3-, and 5-year survival using the described risk score and nomogram framework.
• Investigating pathway enrichment in patient risk groups based on mentioned pathways like olfactory transduction and ribosome cascades.

Strengths

• Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) with validation in NSCLC cell lines.
• Risk model and nomogram demonstrated predictive accuracy for 1-, 3-, and 5-year survival outcomes.
• Analysis includes results from single-cell transcriptomics, Mendelian randomization, and immune profiling of 13 cell types.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (10.7 KB), indicating it likely contains summary results rather than raw experimental data.

Provenance

Source

figshare, author Jiaxin Li.

Collection Method

Integrated analysis of public datasets using weighted gene co-expression network analysis, differential expression, and Mendelian randomization.

Freshness

Last updated 2026-03-25 22:03:03; freshness should be verified.