Integrated analysis of single-cell and bulk transcriptomes reveals the prognostic value of polyamine metabolism biomarkers and immune microenvironment features in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) remains a lethal malignancy with limited prognostic biomarkers. Dysregulated polyamine metabolism promotes tumor progression and immune evasion, yet its clinical implications in GC are poorly characterized.

Methods

We conducted an integrative analysis using bulk RNA-seq and single-cell RNA-seq data to investigate the prognostic significance of polyamine metabolism-related genes (PMRGs) in GC. A total of 59 PMRGs were curated and used to score cells via AUCell. High- and low-scoring cells were subjected to differential gene expression, enrichment, and pseudotime trajectory analyses. Prognostic modeling was performed using 10 machine learning algorithms across multiple combinations, followed by validation and nomogram construction. Immune infiltr

SUBMITTER: Chen K 

PROVIDER: S-EPMC12901417 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature