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

A transcriptomic model for colorectal cancer risk stratification, created by Li-zhi Luo and last updated on 2026-06-03. The dataset likely contains a senescence-circadian interplay score (SCore) derived from public CRC cohorts, including TCGA-COAD/READ, GSE12945, and GSE39582. It integrates bulk transcriptomic and clinical data, with orthogonal validation from single-cell RNA sequencing, RT-qPCR, and immunohistochemistry on 120 paired tissue samples.

Use Cases

• Training prognostic models for colorectal cancer based on the described senescence-circadian interplay score (SCore).
• Analyzing associations between SCore and immune landscape features like T-cell communication and PD-L1 expression.
• Investigating pathway enrichment for oxidative stress and extracellular matrix remodeling programs in high-SCore tumors.
• Validating computational findings with orthogonal experimental data, such as the NOX4 knockdown results described.

Strengths

• Model was externally validated in three independent public cohorts (TCGA-COAD/READ, GSE12945, GSE39582).
• Includes orthogonal experimental support from RT-qPCR, immunohistochemistry on 120 paired tissues, and functional NOX4 knockdown experiments.
• Integrates multiple data modalities: bulk transcriptomics, clinical data, and single-cell RNA sequencing.

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 (9.7 KB), suggesting it contains summary scores or model parameters rather than raw expression data.

Provenance

Source

figshare

Collection Method

Integrated bulk transcriptomic and clinical data from public CRC cohorts to construct a random survival forest model.

Freshness

Last updated 2026-06-03 06:19:05; freshness should be verified.