Senescence-Circadian Interplay Score (SCore) for Colorectal Cancer Prognosis

A transcriptomic dataset containing a four-gene senescence-circadian interplay score (SCore) for colorectal cancer patient stratification. The data was generated by Li-zhi Luo and last updated on June 3, 2026. It integrates bulk transcriptomic and clinical data from public cohorts including TCGA-COAD/READ, GSE12945, and GSE39582.

Use Cases

• Validate prognostic models for colorectal cancer based on the senescence-circadian interplay score (SCore).
• Analyze associations between SCore and immune landscape features like T-cell communication and PD-L1 expression.
• Investigate pathway enrichment for oxidative stress and extracellular matrix remodeling in high-SCore tumors.
• Correlate SCore with consensus molecular subtypes and predicted drug sensitivity in colorectal cancer.

Strengths

• The model was externally validated in two independent cohorts (GSE12945 and GSE39582).
• Includes orthogonal experimental support from RT-qPCR, immunohistochemistry on 120 paired tissues, and NOX4 knockdown experiments.
• Released 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 dataset is very small at 15.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Integrated bulk transcriptomic and clinical data from public CRC cohorts (TCGA-COAD/READ, GSE12945, GSE39582).

Freshness

Last updated 2026-06-03 06:01:23; freshness should be verified.