Table 7_Combined single-cell transcriptome and Mendelian randomization to identify and val

Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma, identified through integrated single-cell transcriptome analysis and Mendelian randomization. The dataset includes a risk model and nomogram for predicting 1-, 3-, and 5-year survival, validated by RT-qPCR in non-small cell lung cancer cell lines. It was authored by Jiaxin Li and last updated on March 25, 2026.

Use Cases

• Building a survival risk model for lung adenocarcinoma patients based on the seven identified prognostic genes.
• Validating gene expression differences in non-small cell lung cancer cell lines using the RT-qPCR results.
• Analyzing immune microenvironment composition based on the 13 differentially abundant immune cell types mentioned.
• Investigating pathway enrichment in patient risk groups, such as olfactory transduction in high-risk patients.

Strengths

• Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Includes a nomogram with reported strong predictive accuracy for 1-, 3-, and 5-year survival.
• Validation performed using RT-qPCR assays on different NSCLC cell lines.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 12.1 KB, indicating limited scope.
• Data may reflect bias inherent to the specific public datasets analyzed.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-03-25 22:03:04