SCore: Senescence-Circadian Interplay Prognostic Model for Colorectal Cancer

Li-zhi Luo's dataset contains a senescence-circadian interplay score (SCore) model for colorectal cancer prognosis, validated across multiple public cohorts. The 63.6 KB XLSX file includes transcriptomic and clinical data used to stratify patient risk and characterize immune landscape heterogeneity. The dataset was last updated on June 3, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Validate prognostic models for colorectal cancer based on the senescence-circadian interplay score (SCore).
• Analyze associations between SCore and immune dysfunction/exclusion features mentioned in the description.
• Investigate pathway enrichment for oxidative stress and extracellular matrix remodeling in high-SCore tumors.
• Explore predicted drug sensitivity based on the SCore-linked transcriptomic state.

Strengths

• Model validated across three independent public cohorts (TCGA-COAD/READ, GSE12945, GSE39582).
• Includes orthogonal experimental support from RT-qPCR, immunohistochemistry on 120 tissue pairs, and NOX4 knockdown experiments.
• Dataset is small (63.6 KB) and in a standard XLSX format for easy access.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset's 63.6 KB size suggests it contains processed model outputs or summary data, not raw sequencing data.
• Data may reflect bias inherent to the specific public cohorts used for model construction and validation.

Provenance

Source

figshare, author Li-zhi Luo.

Collection Method

Integrated bulk transcriptomic and clinical data from public CRC cohorts (TCGA, GEO) to construct a random survival forest model.

Freshness

Last updated 2026-06-03 06:01:22; freshness should be verified.