A four oxidative stress gene prognostic model and integrated immunity-analysis in pancreatic adenocarcinoma.

ABSTRACT:

Background and aims

Pancreatic adenocarcinoma (PAAD) is highly aggressive and characterized by a poor prognosis. Oxidative stress has great impacts on the occurrence and development of tumors. However, the predictive role of oxidative stress related genes on PAAD patients' prognosis remains unclear. In this study, we aimed to construct a prognostic model for PAAD based on oxidative stress genes and to evaluate its predictive value.

Methods

The Cancer Genome Atlas (TCGA) and three Gene Expression Omnibus (GEO) datasets were used to identify differentially expressed oxidative stress genes. Univariate Cox regression, Kaplan-Meier and multivariate Cox regression analysis were used to select genes and to construct a prognosis model. According to the median value of the model's ri

SUBMITTER: Wang H 

PROVIDER: S-EPMC9880292 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature