Development and validation of a novel nerve-related prognostic model for gastric cancer based on bulk and single-cell RNA sequencing data.

ABSTRACT:

Background

Gastric cancer (GC) is still imposing a severe threat to human health. An increasing number of studies have found that neural activity plays an important role in the tumor microenvironment. However, the clinical implications of nerve-related genes (NRGs) remain largely unexplored.

Methods

Matched GC and adjacent normal tissue from 8 patients were collected for single-cell RNA sequencing (scRNA-seq) analysis. Gene expression and patient information were downloaded from TCGA and GEO databases. A total of 441 NRGs were collected from the KEGG database, and LASSO regression analysis was used to construct the nerve-related risk score (NRRS). The survival, immune microenvironment, and mutation analyses were then carried out. Finally, scRNA-seq analysis was used to analy

SUBMITTER: Qiu L 

PROVIDER: S-EPMC12604206 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature