Table 12_Combined single-cell transcriptome and Mendelian randomization to identify and va

A 2026 study by Jiaxin Li identified seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma. The dataset likely contains results from integrated single-cell transcriptome analysis, Mendelian randomization, and validation in non-small cell lung cancer cell lines. The findings include a risk model, nomogram, and immune microenvironment profiling.

Use Cases

• Validate prognostic gene signatures for lung adenocarcinoma based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Build survival prediction models based on the described risk score and nomogram for 1-, 3-, and 5-year survival.
• Investigate immune cell infiltration in lung adenocarcinoma based on the 13 differentially abundant immune cell types mentioned, including M1 macrophages.
• Analyze pathway enrichment differences between high- and low-risk patient groups based on pathways like olfactory transduction and ribosome/complement-coagulation cascades.

Strengths

• Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) validated by RT-qPCR.
• Risk model and nomogram demonstrated predictive accuracy for 1-, 3-, and 5-year survival outcomes.
• Analysis includes single-cell resolution and immune profiling revealing 13 differentially abundant immune cell types.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (10.6 KB), indicating limited scope, likely containing summary results rather than raw data.
• Data may reflect bias inherent to the specific public datasets and analytical methods used in the original study.

Provenance

Source

Jiaxin Li via figshare.

Collection Method

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

Freshness

Last updated 2026-03-25 22:03:02; freshness should be verified.