Table 14_Combined single-cell transcriptome and Mendelian randomization to identify and va

A 57.0 KB dataset from figshare, last updated March 25, 2026, containing results from a study that integrated single-cell transcriptome analysis and Mendelian randomization to identify prognostic genes in lung adenocarcinoma. The study, authored by Jiaxin Li, identified seven genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) associated with endoplasmic reticulum stress and butyrate metabolism. Findings were validated using RT-qPCR in non-small cell lung cancer cell lines and include a risk model, nomogram, and immune microenvironment analysis.

Use Cases

• Validating prognostic gene signatures for lung cancer survival based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Analyzing the association between endoplasmic reticulum stress, butyrate metabolism, and tumor progression in lung adenocarcinoma.
• Building or benchmarking risk stratification models based on the described risk score and nomogram for 1-, 3-, and 5-year survival.
• Investigating immune microenvironment composition in lung cancer based on the 13 differentially abundant immune cell types identified, including M1 macrophages.

Strengths

• Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) with expression validated by RT-qPCR.
• Analysis integrates multiple methods: single-cell transcriptomics, Mendelian randomization, weighted gene co-expression network analysis, and immune profiling.
• Risk model and nomogram were constructed and evaluated for predictive accuracy at 1-, 3-, and 5-year intervals.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment and requiring manual inspection after download.
• Data scale is limited to 57.0 KB, suggesting it contains summary or processed results rather than raw sequencing data.
• The dataset's clinical applicability is noted as requiring further validation in clinical cohorts and functional studies.

Provenance

Source

figshare, author Jiaxin Li.

Collection Method

Integrated analysis of public datasets using bioinformatics and statistical genetics methods.

Freshness

Last updated 2026-03-25 22:03:01.