A bioinformatics analysis and an experimental validation of the hypoxia-related prognostic model.

ABSTRACT:

Background

Hypoxia plays an important role in the development of pancreatic cancer (PCA). However, there is few research on the application of hypoxia molecules in predicting the prognosis of PCA. We aimed to establish a prognostic model based on hypoxia-related genes (HRGs) for PCA to discover new biomarkers, and to reveal the potential of this prognostic model for evaluating the tumor microenvironment (TME).

Methods

Univariate Cox regression analysis was used to identify HRGs associated with overall survival (OS) of PCA samples. A hypoxia-related prognostic model was established based on least absolute shrinkage and selection operator (LASSO) regression analysis in The Cancer Genome Atlas (TCGA) cohort. The model was validated in the Gene Expression Omnibus (GEO) datasets.

SUBMITTER: Zhou L 

PROVIDER: S-EPMC10331741 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature