Cross-validation with three machine learning algorithms—LASSO regression, SVM-RFE, and Random Forest—successfully identified four core genes (CA1, CCND1, CXCL2, and EIF6) as key molecular targets through which medicinal food homologous plants may regulate colorectal cancer development and progression. Here, CXCL2 is linked to colorectal cancer.