Ontology highlight
ABSTRACT: Background
Endoplasmic reticulum stress (ERS) can affect the efficacy of anti-tumor therapy (chemotherapy, targeted therapy and immunotherapy) by regulating tumor immune microenvironment. This study aims to develop a prognostic prediction model based on the expression profiles of ERS-related genes to guide the treatment of lung adenocarcinoma (LUAD).Methods
The 16-gene prognostic signature was established to predict the prognosis of LUAD patients using The Cancer Genome Atlas (TCGA) database. We applied consensus clustering and found that LUAD could be divided into two groups based on the expression of PIK3CG and DMD. We performed gene set enrichment analysis (GSEA) to identify functional differences, and used ESTIMATE, CIBERSORT, and single-sample GSEA (ssGSE
SUBMITTER: Xu Y
PROVIDER: S-EPMC12432767 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature