Translational oncology

A machine learning-based daily rhythm pattern predicts outcomes and drug response in colorectal cancer

Circadian Biology Weekly Brief ↗PubMed ↗DOI ↗

Updated

Abstract

Colorectal cancer (CRC) shows significant differences in clinical outcomes, indicating a need for reliable prognostic biomarkers.

  • Aberrant expression of genes related to circadian rhythms may be linked to cancer development.
  • The comprehensive role of these genes in CRC progression is not fully understood.
  • Identifying prognostic biomarkers could help predict therapeutic vulnerabilities in CRC.

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Funding

Competing interests

No financial or personal ties reported.
PubMed

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