Bladder Cancer Amino Acid Metabolism Genes and Prognostic Model

Transcriptomic and clinical data from TCGA-BLCA, GSE13507, and GSE32894 cohorts, integrated with 32 MSigDB amino acid metabolism gene sets. The dataset contains 144 dysregulated amino acid metabolism-related genes used to define molecular subtypes and a 16-gene prognostic signature. It was created by Junrui He and last updated on March 18, 2026.

Use Cases

• Train a prognostic risk model based on the 16-gene metabolic signature.
• Identify bladder cancer molecular subtypes based on amino acid metabolism gene expression.
• Correlate metabolic gene expression with immune infiltration features mentioned in the description.
• Validate the expression and function of core model genes like PSPH in external datasets.

Strengths

• Integrates data from three distinct cohorts (TCGA-BLCA, GSE13507, GSE32894).
• Based on 144 dysregulated amino acid metabolism-related genes.
• Prognostic signature was validated across multiple independent datasets.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Integrated transcriptomic and clinical data from public repositories (TCGA, GEO).

Freshness

Last updated 2026-03-18 07:35:02.