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

A four-gene random survival forest model stratifies colorectal cancer patient risk based on senescence-circadian interplay. The SCore was trained on TCGA-COAD/READ data and validated in two external cohorts, GSE12945 and GSE39582. Orthogonal experimental support includes immunohistochemistry on 120 paired CRC tissues and NOX4 knockdown experiments.

Use Cases

• Predicting overall survival in colorectal cancer patients based on transcriptomic senescence-circadian scores.
• Characterizing immune dysfunction and exclusion features associated with high-risk tumors.
• Identifying potential drug sensitivities linked to the senescence-circadian interplay state.
• Analyzing T-cell communication and differentiation dynamics using single-cell RNA sequencing data.

Strengths

• Model validated in three independent cohorts (TCGA, GSE12945, GSE39582).
• Includes orthogonal experimental validation via immunohistochemistry on 120 paired tissue samples.
• Integrates bulk transcriptomic, clinical, and single-cell RNA sequencing data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific public cohorts used.

Provenance

Source

Integrated bulk transcriptomic and clinical data from public CRC cohorts (TCGA, GEO).

Collection Method

Candidate genes identified from intersecting senescence-related, circadian-related, and CRC differentially expressed gene sets.

Freshness

Last updated 2026-06-03 06:19:05