Novel prognostic gene signature for pancreatic ductal adenocarcinoma based on hypoxia.

ABSTRACT:

Background

Currently, there is lack of marker to accurately assess the prognosis of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC). This study aims to establish a hypoxia-related risk scoring model that can effectively predict the prognosis and chemotherapy outcomes of PDAC patients.

Methods

Using unsupervised consensus clustering algorithms, we comprehensively analyzed The Cancer Genome Atlas (TCGA) data to identify two distinct hypoxia clusters and used the weighted gene co-expression network analysis (WGCNA) to examine gene sets significantly associated with these hypoxia clusters. Then univariate Cox regression, the least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression were used to construct a signature an

SUBMITTER: Ren M 

PROVIDER: S-EPMC10464224 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature