FAMR: Fatty Acid Metabolism Risk Signature for Bladder Cancer Prognosis

Data Sheet 4_FAM-related prognostic molecular subtype screening identified epithelial-derived MAOA-inhibiting bladder cancer.csv contains data from a study analyzing 359 bladder cancer samples to develop a four-gene prognostic risk signature. The signature, based on PATZ1, TTC6, AEBP1, and MAOA expression, was validated in internal and external cohorts and linked to molecular subtypes, immune infiltration, and patient survival. The dataset was authored by Hui Yu and published on figshare under a CC-BY-4.0 license.

Use Cases

• Training prognostic models for bladder cancer based on the four-gene FAMR signature.
• Analyzing the relationship between fatty acid metabolism gene expression and patient survival outcomes.
• Investigating immune infiltration patterns associated with different molecular subtypes of bladder cancer.
• Validating MAOA's role as a potential tumor suppressor in bladder cancer cell lines.

Strengths

• Dataset is derived from the analysis of 359 bladder cancer samples, providing a defined cohort size.
• The prognostic model was validated using both internal and external cohorts, suggesting methodological rigor.
• Findings are supported by in vitro functional studies on T24 and 5637 bladder cancer cells.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 14.2 KB, indicating limited scope, likely containing summary or signature data rather than raw expression matrices.

Provenance

Source

figshare, author Hui Yu.

Collection Method

Analysis of 359 BLCA samples, with validation in internal and external cohorts, and in vitro experiments.

Freshness

Last updated 2026-03-18 07:35:19; freshness should be verified.