Top 5% MCC Genes as Biomarker Candidates for Cancer Survival

A list of 11 genes identified as novel biomarker candidates from a top 5% MCC-ranked gene analysis. The data was used to evaluate candidates based on survival significance and differential expression between tissue types. The dataset was authored by Takanori Sasaki and last updated on May 6, 2026.

Use Cases

• Validating biomarker candidates for relapse-free survival (RFS) based on the described survival analysis.
• Assessing biomarker candidates for overall survival (OS) based on the described survival analysis.
• Comparing gene expression between normal and cancer tissues as described in the differential expression criteria.
• Comparing gene expression between cancer and metastatic tissues as described in the differential expression criteria.
• Prioritizing genes like TOP2A and TTK for further experimental validation based on the multi-criteria selection.

Strengths

• Identifies a specific set of 11 candidate genes (e.g., TOP2A, TTK, BUB1).
• Candidates were selected using a defined two-condition statistical framework (P < 0.05 for both survival and expression).
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Dataset is very small at 12.4 KB; row count and column-level documentation are unknown.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Analysis of top 5% MCC-ranked genes, filtered by statistical significance in survival and differential expression.

Time Range

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Freshness

Last updated 2026-05-06 17:28:12; freshness should be verified.

Geography

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