Identification of exosome-related genes associated with prognosis and immune infiltration features in pancreatic cancer.

ABSTRACT:

Background

This study is designed to explore the prognostic significance of exosome-related genes (ERGs) and their impact on the the tumor microenvironment (TME) of pancreatic cancer.

Methods

Transcriptomic data alongside clinical details of patients with PC were retrieved from both The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) repository. A collection of 121 exosome-associated genes were obtained from the ExoBCD database. For constructing a risk scoring model, the absolute shrinkage and selection operator (LASSO) regression method was employed. Gene set enrichment and variance analyses were facilitated by the clusterProfiler and GSVA R software tools. Additionally, CIBERSORT was used to estimate immune cell infiltration levels. Lastly, the TIDE algori

SUBMITTER: Wang J 

PROVIDER: S-EPMC11832983 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature