Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancer.

ABSTRACT:

Purpose

To identify differentially expressed immune-related genes (DEIRGs) and construct a model with survival-related DEIRGs for evaluating the prognosis of patients with pancreatic cancer (PC).

Methods

Six microarray gene expression datasets of PC from the Gene Expression Omnibus (GEO) and Immunology Database and Analysis Portal (ImmPort) were used to identify DEIRGs. RNA sequencing and clinical data from The Cancer Genome Atlas Program-Pancreatic Adenocarcinoma (TCGA-PAAD) database were used to establish the prognostic model. Univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses were applied to determine the final variables of the prognostic model. The median risk score was used as the cut-off value to classify sample

SUBMITTER: Liu B 

PROVIDER: S-EPMC8252190 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature