Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in human breast cancers.

ABSTRACT: An emerging view regarding cancer metabolism is that it is heterogeneous and context-specific, but it remains to be elucidated in breast cancers. In this study, we characterized the energy-related metabolic features of breast cancers through integrative analyses of multiple datasets with genomics, transcriptomics, metabolomics, and single-cell transcriptome profiling. Energy-related metabolic signatures were used to stratify breast tumors into two prognostic clusters: cluster 1 exhibits high glycolytic activity and decreased survival rate, and the signatures of cluster 2 are enriched in fatty acid oxidation and glutaminolysis. The intertumoral metabolic heterogeneity was reflected by the clustering among three independent large cohorts, and the complexity was further verified at the metabo

SUBMITTER: Yu TJ 

PROVIDER: S-EPMC8261089 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature