Tissue-based metabolomics reveals metabolic signatures and major metabolic pathways of gastric cancer with help of transcriptomic data from TCGA.

ABSTRACT: The aim of the present study was to screen differential metabolites of gastric cancer (GC) and identify the key metabolic pathways of GC. GC (n=28) and matched paracancerous (PC) tissues were collected, and LC-MS/MS analysis were performed to detect metabolites of GC and PC tissues. Metabolite pathways based on differential metabolites were enriched by MetaboAnalyst, and genes related to metabolite pathways were identified using the KEGGREST function of the R software package. Transcriptomics data from The Cancer Genome Atlas (TCGA) was analyzed to obtain differentially expressed genes (DEGs) of GC. Overlapping genes were acquired from metabonimics and transcriptomics data. Pathway enrichment analysis was performed using String. The protein expression of genes was validated by the Human Pr

SUBMITTER: Wang Y 

PROVIDER: S-EPMC8490861 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature