TGFBI and colorectal cancer: In this work, we have effectively applied integrative machine learning and bioinformatics approaches to identify key cellular senescence-related genes, namely, ABCB1, CXCL1, TACC3, TGFβI, and VDR, that show promising potential as diagnostic biomarkers and therapeutic targets in the progression from ulcerative colitis to colorectal cancer.