Lipid signatures, patient clinical characteristics, gene mutation status, and CRC-related chemokines levels, such as interleukin-8 (IL-8) and platelet factor-4 (PF4) were used to train the machine learning (ML) models. This evidence concerns the gene CXCL8 and colorectal carcinoma.