The changes in circulating metabolites induced by a multi-AGC kinase inhibitor in mice and patients may contribute to better understand its mechanism of action.
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Metabolomics can be combined with clinical data for the prediction of patient survival after anti-tumor treatment.
Higher serum bile acid levels and an altered gut microbiome contribute to fibrogenesis, liver injury, and tumorigenesis in cirrhotic and noncirrhotic NASH-HCC.
The response of cancer cells to checkpoint inhibition therapy can be predicted using metabolomics.
One of the widely accepted hallmarks of cancer is metabolic deregulation. By integrating transcriptome, proteome, and metabolome analysis insights on cancer can be gained.