Article

Can a Tissue-derived Progression Signature Accurately Predict Colorectal Cancer Stage Transitions in Blood?

2026-06-29

Abstract excerpt

Colorectal cancer (CRC) is challenging to track because its molecular changes are very complex as the disease progresses, creating significant challenges for robust biomarker discovery. In this study, we developed a machine learning framework by integrating monotonic progression and the StepMiner approach. We conducted external validation to identify reproducible, consistent transcriptomic biomarkers associated wi...

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Literature Corpus work: 5ebefcb4-0943-5bba-b083-7a7ebded9745
DOI: 10.64898/2026.06.23.734006

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