Prognostic Ammonia Metabolism Gene Signature for Clear Cell Renal Cell Carcinoma

A prognostic model for clear cell renal cell carcinoma (ccRCC) based on six ammonia metabolism-related genes. The dataset was created by Yao Jiang and last updated on April 23, 2026. It integrates bulk and single-cell transcriptomic data from public resources to identify a risk signature and analyze associated immune infiltration and cell communication.

Use Cases

• Validating the prognostic risk score based on the six identified genes (RGS20, ADA, AICDA, SLC12A5, RUFY4, CDK5RAP3).
• Investigating immune cell infiltration differences between high-risk and low-risk patient groups.
• Analyzing cell communication networks, particularly between malignant cells and T cells, in ccRCC.
• Studying the association between ammonia-induced cell death pathways and cancer progression.

Strengths

• The prognostic model is based on six specific genes validated by RT-qPCR analysis.
• Analysis integrates both bulk and single-cell transcriptomic data for a multi-scale view.
• Includes functional enrichment and somatic mutation analysis for biological context.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• The dataset is very small (16.8 KB), suggesting it contains summary or model results rather than raw expression data.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author Yao Jiang.

Collection Method

Integrated analysis of transcriptomic data from public resources, using differential expression analysis and machine learning.

Freshness

Last updated 2026-04-23 05:36:04