FAMR: Fatty Acid Metabolism Risk Signature for Bladder Cancer Prognosis

359 bladder cancer samples were analyzed to construct a four-gene prognostic signature related to fatty acid metabolism. The signature, comprising PATZ1, TTC6, AEBP1, and MAOA, classifies patients into subtypes with distinct survival outcomes and immune profiles. Hui Yu published this research data on figshare under a CC-BY-4.0 license in March 2026.

Use Cases

• Training prognostic models based on the four-gene FAMR signature (PATZ1, TTC6, AEBP1, MAOA).
• Investigating molecular subtypes of bladder cancer based on fatty acid metabolism gene expression.
• Analyzing correlations between gene expression signatures and clinical features like patient age, sex, and tumor stage.
• Studying the role of MAOA as a potential tumor suppressor in bladder cancer cell lines.

Strengths

• Data is derived from the analysis of 359 bladder cancer samples.
• The prognostic model was validated using internal and external cohorts.
• Findings are supported by in vitro experiments on T24 and 5637 bladder cancer cell lines.

Limitations

• The dataset is very small at 1.1 KB, suggesting limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Hui Yu.

Collection Method

Analysis of gene expression data from bladder cancer samples, including single-cell RNA sequencing and in vitro experiments.

Freshness

Last updated 2026-03-18 07:35:17; freshness should be verified.