Cuproptosis Regulator Analysis and Scoring System for Thyroid Cancer

A bioinformatics dataset analyzing cuproptosis regulators in thyroid cancer. It was created by Shitong Su and last updated on March 18, 2026. The data includes expression levels, prognostic values, and pathway correlations to construct a predictive scoring system.

Use Cases

• Constructing a cuproptosis-related scoring system for predicting patient survival based on the described SWSFS method.
• Analyzing the correlation between cuproptosis regulators and immune-related pathways like interferon response.
• Investigating the relationship between FDX1 expression and immune cell infiltration patterns in thyroid cancer.
• Validating the expression of specific genes (MAP1LC3A, RBPMS2, GINM1) between normal and cancerous thyroid tissues.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis includes experimental validation via qRT-PCR, colony forming, and CCK-8 assays.

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 small at 112.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Analysis of expression data using WGCNA, ssGSEA, and correlation methods, supplemented by experimental validation.

Freshness

Last updated 2026-03-18 07:34:51; freshness should be verified.