C5orf46: Pan-Cancer Gene Expression and Survival Analysis from TCGA

TCGA pan-cancer data and local hospital samples were used to analyze the C5orf46 gene. The study includes gene expression, survival analysis, and correlations with tumor microenvironment features like angiogenesis and immune infiltration. The dataset, authored by Lei Miao and last updated in May 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Identify prognostic risk indicators based on C5orf46 gene expression patterns.
• Model associations between gene expression and tumor microenvironment features like angiogenesis and immune infiltration.
• Analyze correlations between gene expression and cancer traits such as epithelial–mesenchymal transition and DNA repair.
• Investigate drug sensitivity predictions based on gene expression data.

Strengths

• Includes analysis of TCGA pan-cancer data validated with local hospital samples.
• Correlates gene expression with multiple critical cancer traits, including survival outcomes and tumor microenvironment parameters.
• Shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file is a 4.4 MB DOCX document, which may require parsing to extract structured data.

Provenance

Source

TCGA (The Cancer Genome Atlas) and local hospital samples.

Collection Method

Computational analysis of gene expression, survival data, and correlations with cancer traits.

Time Range

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Freshness

Last updated 2026-05-04 04:18:10; freshness should be verified.

Geography

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