Contribution of upregulated aminoacyl-tRNA biosynthesis to metabolic dysregulation in gastric cancer.

ABSTRACT:

Background and aim

Metabolic reprogramming is characterized by dysregulated levels of metabolites and metabolic enzymes. Integrated metabolomic and transcriptomic data analysis can help to elucidate changes in the levels of metabolites and metabolic enzymes, screen the core metabolic pathways, and develop novel therapeutic strategies for cancer.

Methods

Here, the metabolome of gastric cancer tissues was determined using liquid chromatography-mass spectrometry. The transcriptome data from The Cancer Genome Atlas dataset were integrated with the liquid chromatography-mass spectrometry data to identify the common dysregulated gastric cancer-specific metabolic pathways. Additionally, the protein expression and clinical significance of key metabolic enzymes were examined using a

SUBMITTER: Gao X 

PROVIDER: S-EPMC9292402 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature