Metabolomics-guided global pathway analysis reveals better insights into the metabolic alterations of breast cancer.

Abstract

Accurate metabolome measurements are critical for improved insights into breast cancer metabolic disturbances and enhanced exploration of novel therapeutic targets. Nevertheless, conventional functional interpretation is limited by metabolite identification capacity, which diminishes the scientific value of untargeted metabolomics analyses. In this study, we conducted a metabolomics-guided global pathway meta-analysis to investigate the metabolic alterations of breast cancer. Metabolic features were directly investigated in the pathway meta-analysis to identify breast cancer-associated metabolic processes. Conventional pathway analysis was also conducted involving identified metabolites alone. Comparison of the two strategies revealed that the global pathway meta-analysis approach could avoid the loss of functionally relevant information, relative to the conventional analysis findings. Furthermore, the pathway meta-analysis accurately captured alterations in the following components of the breast cancer metabolome: central carbon metabolism, oxidative glutamine metabolism, purine metabolism, nonessential amino acid metabolism, and glutathione metabolism. There were also substantial alterations of fatty acyl carnitine species and fatty acid β-oxidation processes. These pathways contribute to breast cancer initiation, progression, metastasis, and drug resistance. In conclusion, we suggest that global pathway analysis and the conventional approach with identified metabolites should be employed together to maximize the exploration of breast cancer s metabolic landscape.