Bulk and single-cell transcriptomics of stomach adenocarcinoma provide prognostic insights via the application of a novel gene signature associated with manganese metabolism.

ABSTRACT:

Background

Gastric cancer (GC), originating from gastric mucosa epithelial cells, is a global health issue, ranking as the fifth most common cancer and fourth in cancer-related deaths. Stomach adenocarcinoma (STAD) accounts for 95% of GC cases. Emerging evidence suggests a link between manganese (Mn) metabolism and GC, but the role of Mn metabolism-related genes (MMRGs) in STAD is unclear. This study aims to bridge this gap of Mn metabolism through the development of a robust prognostic signature derived from The Cancer Genome Atlas (TCGA) data.

Methods

We used RNA-sequencing data and clinical information from TCGA to identify STAD subtypes and developed a Mn metabolism scoring model to predict STAD prognosis.

Results

An extensive clustering analysis of 115 prognostic

SUBMITTER: Li D 

PROVIDER: S-EPMC12605665 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature