Immune-related gene prognostic index (IRGPI) for lung adenocarcinoma predicts patient prognosis and immunotherapy response.

ABSTRACT: We searched for a predictive biomarker that also predicts whether patients would benefit from immune checkpoint blockade (ICB) treatment from a few angles, because existing biomarkers no longer wholly replicate the interconnections of distinctive elements in the tumor microenvironment (TME). We identified 55 pivotal IRGs by performing a WGCNA and univariate Cox regression analysis on a lung adenocarcinoma dataset from the TCGA database. The IRGPI model was then constructed using multivariate Cox regression analysis, which identified 16 genes and verified the use of the GSE68465 database. The AUC of the IRGPI was compared to those of the current biomarkers to determine its predictive potential. Then we examined the molecular and immunological properties of ICB and assessed its effectiveness

SUBMITTER: Zhu Z 

PROVIDER: S-EPMC10641371 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature