Drug metabolism-related eight-gene signature can predict the prognosis of gastric adenocarcinoma.

ABSTRACT:

Background

Metabolic abnormalities in patients with gastric adenocarcinoma lead to drug resistance and poor prognosis. Therefore, this study aimed to explore biomarkers that can predict the prognostic risk of gastric adenocarcinoma by analyzing drug metabolism-related genes.

Methods

The RNA-seq and clinical information on gastric adenocarcinoma were downloaded from the UCSC and gene expression omnibus databases. Univariate and least absolute shrinkage and selection operator regression analyses were used to identify the prognostic gene signature of gastric adenocarcinoma. The relationships between gastric adenocarcinoma prognostic risk and tumor microenvironment were assessed using CIBERSORT, EPIC, QUANTISEQ, MCPCounter, xCell, and TIMER algorithms. The potential drugs that c

SUBMITTER: Yin HM 

PROVIDER: S-EPMC8649372 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature