AGTR1: a potential biomarker associated with the occurrence and prognosis of lung adenocarcinoma.

ABSTRACT:

Introduction

Lung adenocarcinoma, a disease with complex pathogenesis, high mortality and poor prognosis, is one of the subtypes of lung cancer. Hence, it is very crucial to find novel biomarkers as diagnostic and therapeutic targets for LUAD.

Methods

GSE10072 was used for DEGs and WGCNA, and the intersection genes were subjected to enrichment analysis through Metascape and GSEA. Key genes were screened by three machine learning methods. Further, the reliability of key genes was identified by ROC, COX regression analysis and qRT-PCR. CIBERSORT and Spearman analysis were used for understanding the relationships of LUAD, immunity and key genes. In addition, ceRNA networks and potential drugs of key genes were constructed and predicted.

Results

After overlapping 631 DEGs

SUBMITTER: Xiao R 

PROVIDER: S-EPMC11499140 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature