Neurotransmitter receptor-associated gene signature: prognostic and immunosuppressive microenvironment in NSCLC.

ABSTRACT:

Objective

This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches.

Methods

The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated.

Results

192 di

SUBMITTER: Yang Y 

PROVIDER: S-EPMC12785200 | biostudies-literature | 2026 Dec

REPOSITORIES: biostudies-literature