LUAD Prognostic Genes: Single-Cell Transcriptome and Mendelian Randomization Analysis
by Jiaxin Li·Updated 3mo ago
536 B1files
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Description
Table 15_Combined single-cell transcriptome and Mendelian randomization to identify and validate prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma.csv contains data from a study by Jiaxin Li, last updated in March 2026. The dataset likely contains results identifying seven prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) validated in NSCLC cell lines. The study integrated public datasets using weighted gene co-expression network analysis, differential expression analysis, and Mendelian randomization to build a risk model and nomogram.
Use Cases
Validating prognostic gene signatures for lung adenocarcinoma based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
Analyzing associations between endoplasmic reticulum stress, butyrate metabolism, and patient survival based on the constructed risk model.
Investigating immune microenvironment differences in LUAD based on the 13 differentially abundant immune cell types mentioned, such as M1 macrophages.
Exploring gene expression patterns during macrophage differentiation based on the single-cell analysis findings for VDAC1, TXNRD1, and LPL.
Strengths
Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) validated by RT-qPCR in NSCLC cell lines.
Risk model and nomogram demonstrated predictive accuracy for 1-, 3-, and 5-year survival outcomes.
Analysis integrated multiple public datasets and methods including single-cell transcriptomics and Mendelian randomization.
Limitations
Row count and column-level documentation are absent; field semantics must be inferred after download.
The dataset is very small (536.0 B), indicating it likely contains summary or model results rather than raw expression 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 analysis, and Mendelian randomization.
Freshness
Last updated 2026-03-25 22:02:59; freshness should be verified.