Unknown

Dataset Information

Identification of a potential prognostic model combining pyroptosis-related gene with immune microenvironment for pancreatic ductal adenocarcinoma.


ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDAC) is a fatal tumor with grave prognosis. Pyroptosis, a programmed cell death, is involved in tumorigenesis. However, a few studies have elucidated the functions of pyroptosis in PDAC.

Methods

The mRNA expression profiles were downloaded from the TCGA and GEO databases. Univariate and LASSO Cox regression analyses were used to screen out differentially expressed genes (DEGs) and construct the pyroptosis-related genes (PRGs) risk model. The efficiency of model was examined by Kaplan-Meier curve, ROC curve, and nomogram. Univariate and multivariate Cox regression analyses were utilized to assess whether the risk model could be used as an independent prognostic factor. The biological function was analyzed by GO, KEGG, and GSEA enr

SUBMITTER: Xie H 

PROVIDER: S-EPMC11797131 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature