Prognostic risk model of gastric adenocarcinoma based on exosome-related genes.

ABSTRACT: Gastric cancer is a prevalent and fatal malignancy. Research has indicated a significant association between exosomes and gastric cancer progression; however, there is a paucity of established exosome-related risk models for this disease. Differential expression analysis identified differential gene expression profiles between the normal and tumor groups. Subsequently, The Cancer Genome Atlas dataset was utilized to develop an exosome-related gene risk model for patients with stomach adenocarcinoma (STAD) through the application of least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis. We used GEO datasets to verify the prediction accuracy of the model. Utilizing the obtained risk score, additional analyses were conducted, including ge

SUBMITTER: Li LS 

PROVIDER: S-EPMC12499833 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature