Lung Adenocarcinoma Prognostic Genes from Single-Cell and Mendelian Randomization Analysis

A 10.5 KB dataset by Jiaxin Li, last updated March 25, 2026, containing results from an integrated analysis of single-cell transcriptomics and Mendelian randomization. It identifies seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma, with validation in non-small cell lung cancer cell lines. The data supports a risk model and nomogram for predicting patient survival outcomes.

Use Cases

• Validating prognostic gene signatures for lung adenocarcinoma based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Building survival prediction models based on the described risk model and nomogram for 1-, 3-, and 5-year survival.
• Analyzing immune microenvironment composition based on the 13 differentially abundant immune cell types mentioned, such as M1 macrophages.
• Investigating pathway enrichment in lung adenocarcinoma patients based on described pathways like olfactory transduction, ribosome, and complement-coagulation 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 immune profiling of 13 differentially abundant immune cell types and single-cell analysis identifying macrophages as key players.

Limitations

• Dataset is very small at 10.5 KB, indicating limited scope and likely summary-level results.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare, author Jiaxin Li.

Collection Method

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

Freshness

Last updated 2026-03-25 22:03:03