Using machine learning and SVM algorithms, it was shown that five biomarkers were strongly predictive of CRC, including superoxide dismutase 3, leucine-rich alpha-2-glycoprotein 1, inter-alpha- trypsin inhibitor heavy-chain family member 4, hemopexin, and epidermal growth factor receptor, with a specificity of 70% and a sensitivity of 89%. This evidence concerns the gene EGFR and colorectal carcinoma.