Novel machine-learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring.

Despite the ongoing increase in CRC cases overall, there is a notable trend towards diagnosis at earlier ages, with progression to more severe stages [ 7 ].

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Notably, within this pathway, the majority of mRNA exhibited an increasing trend, whereas the levels of metabolites displayed a decreasing trend by T stages.

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