Telomere-Related Prognostic Genes and Immune Cell Associations in Liver Cancer

A 2026 study by Xu ZHANG integrates transcriptomics, Mendelian randomization, and single-cell data to identify telomere-related genes in hepatocellular carcinoma. The dataset includes results identifying four prognostic genes (RNASEH2A, TPRKB, POLR2G, ANXA2) and a constructed prognostic model. It also contains analyses of immune cell infiltration differences and pseudotime trajectories for key cell types.

Use Cases

• Validate the prognostic model built on RNASEH2A, TPRKB, POLR2G, and ANXA2 gene expression for HCC patient survival prediction.
• Analyze the differential expression of 15 immune cell types between high-risk and low-risk patient groups defined by the model.
• Investigate gene expression patterns of the identified prognostic genes across NK, B, and T cell differentiation using the provided pseudotime analysis data.
• Replicate the Mendelian randomization analysis to infer causal relationships between telomere-related genes and HCC risk.
• Use the weighted gene co-expression network analysis (WGCNA) results to explore gene modules associated with immune cells in HCC.

Strengths

• Identifies four specific prognostic genes (RNASEH2A, TPRKB, POLR2G, ANXA2) with detailed analysis.
• Integrates multiple analytical methods: differential expression, WGCNA, Mendelian randomization, and single-cell analysis.
• Data is recently published and available under a permissive CC-BY-4.0 license.

Limitations

• The dataset is small (1.8 MB), suggesting it contains processed results rather than raw sequencing data.
• Sample size for the underlying patient cohorts is not specified, limiting assessment of statistical power.
• Geographic or demographic origin of the patient data is unknown, which may affect generalizability.

Provenance

Source

Figshare repository, authored by Xu ZHANG.

Collection Method

Integrated analysis of transcriptomic data, Mendelian randomization, and single-cell datasets.

Time Range

Study published in 2026; specific temporal coverage of source data is null.

Freshness

Last updated in April 2026.