CRIF1 Expression and Immune Infiltration Data for Breast Cancer Prognosis

Yongping Li published data on figshare in May 2026 investigating the role of CRIF1 in breast cancer. The 19.8 MB dataset includes files in TIF, DOCX, XLSX, and PDF formats. It contains results from analyses linking CRIF1 expression to patient prognosis, immune cell infiltration, and tumor cell behavior.

Use Cases

• Correlating gene expression levels with patient survival based on CRIF1 data from TCGA-BRCA.
• Analyzing the relationship between a specific gene and immune cell populations based on CIBERSORT and ESTIMATE algorithm outputs.
• Investigating the impact of gene knockdown on cancer cell proliferation and signaling pathways based on functional assay results.
• Validating gene expression patterns in tissue samples based on immunohistochemistry (IHC) images.

Strengths

• Includes data from The Cancer Genome Atlas (TCGA-BRCA), a major cancer genomics resource.
• Contains multiple data types and validation methods, including IHC images and functional assay results.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

The Cancer Genome Atlas (TCGA-BRCA), supplemented by original experimental data.

Collection Method

Bioinformatic analysis of public genomics data combined with laboratory experiments including immunohistochemistry and cell line assays.

Freshness

Last updated 2026-05-12 07:20:56; freshness should be verified.