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. This evidence concerns the gene CXCL1 and colorectal cancer.