Revealing the mechanism of Chanling Gao in preventing and treating liver metastasis in colorectal cancer through integrated multi-omics and artificial intelligence

This study established an "active ingredient-target" network for CLG using network pharmacology and developed a dynamic "diagnosis-prognosis "model integrating ML based on drug targets. The clinical value of the model in CRC and CRLM patients was validated, and drug-target binding was elucidated using DL. It was discovered that CLG may inhibit CRC liver metastasis by targeting the TP53/CCNB1/CDK1 signaling pathway. These findings highlight the clinical utility of CLG and dynamic models in the prevention, diagnosis, and therapeutic management of CRC and CRLM, providing a robust foundation in bioinformatics, pharmacology, and potential targets for CRLM treatment in TCM, with broad clinical implications.