Bladder Cancer Prognostic Gene Analysis Integrating Single-Cell and Transcriptome Data

A tabular dataset of 220 candidate genes and six prognostic marker genes related to TRPM4 in bladder cancer, derived from integrated single-cell and whole-genome transcriptomic analyses. The file is 62.6 KB in size, authored by Qi Zhao, and last updated on April 13,我们发现了一个问题，该日期（2026-04 13）似乎是未来的日期，这可能是输入错误。 2026. The dataset includes results from risk modeling, gene set enrichment, immune infiltration, and drug sensitivity analyses.

Use Cases

• Building a prognostic risk model for bladder cancer based on the six identified marker genes (UNC93B1, FAM193B, POGLUT3, FBN1, MAP1B, RUNX2).
• Analyzing immune cell infiltration patterns in bladder cancer based on the 12 identified immune cell types.
• Investigating drug sensitivity differences in bladder cancer based on the analysis of 112 drugs, including WZ3105.
• Validating TRPM4 as a diagnostic or therapeutic target using the associated gene expression and pathway enrichment results.

Strengths

• Includes results from multiple integrated analyses: single-cell, transcriptomic, immune infiltration, and drug sensitivity.
• Identifies a specific set of six prognostic marker genes and 220 candidate genes for focused investigation.
• Reports statistical significance (p < 0.05) for key findings like TRPM4 overexpression and pathway disparities.

Limitations

• Row count and specific column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 62.6 KB, indicating a limited scope focused on specific analysis results.
• The last updated date (2026-04-13) appears to be in the future, which may indicate a metadata error.

Provenance

Source

Qi Zhao via figshare.

Collection Method

Integrated analysis of single-cell and whole-genome transcriptomic data from unspecified sources.

Time Range

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Freshness

Last updated 2026-04-13 05:21:43; freshness should be verified due to the future date.

Geography

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