Leveraging cfDNA fragmentomic features for the early detection of colorectal cancer

This study demonstrates that cfDNA fragmentomic profiling, particularly differential patterns of <i>Alu</i> and LTR elements, effectively discriminates benign from malignant colorectal lesions. These findings validate the clinical utility of repetitive element analysis and provide a foundation for developing improved non-invasive CRC diagnostics through machine learning approaches incorporating genomic features.