Identification and Characterization of Metabolic Subtypes of Endometrial Cancer Using a Systems-Level Approach.

ABSTRACT: Endometrial cancer (EC) is the most common gynecological cancer worldwide. Understanding metabolic adaptation and its heterogeneity in tumor tissues may provide new insights and help in cancer diagnosis, prognosis, and treatment. In this study, we investigated metabolic alterations of EC to understand the variations in metabolism within tumor samples. Integration of transcriptomics data of EC (RNA-Seq) and the human genome-scale metabolic network was performed to identify the metabolic subtypes of EC and uncover the underlying dysregulated metabolic pathways and reporter metabolites in each subtype. The relationship between metabolic subtypes and clinical variables was explored. Further, we correlated the metabolic changes occurring at the transcriptome level with the genomic alterations.

SUBMITTER: Srivastava A 

PROVIDER: S-EPMC10054278 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature