Ontology highlight
ABSTRACT: Background
As a major histopathological subtype of gastric cancer (GC), stomach adenocarcinoma (STAD) is an important malignant tumor in the digestive system. Increasing evidence also indicates that endoplasmic reticulum (ER) stress plays a pivotal role in the pathogenesis and progression of GC. Therefore, this study aims to screen and identify vital ER stress-related genes that could contribute to the malignant development and poor prognosis for STAD.Methods
A novel ER stress-related risk score signature was developed employing machine learning techniques. Then, a prognostic prediction nomogram was also built based on the clinicopathological characteristics and the risk score signature. The tumor immune microenvironment characteristics and pathway enrichment analysis in di
SUBMITTER: Jin Y
PROVIDER: S-EPMC12493987 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature