Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.

ABSTRACT:

Background

Polyamine metabolism is closely associated with tumorigenesis, progression, and the tumor microenvironment (TME). This study aimed to determine whether polyamine metabolism-related genes (PMRGs) could predict prognosis and immunotherapy efficacy in Breast Cancer (BC).

Methods

We conducted a comprehensive multi-omics analysis of PMRG expression profiles in BC. Consensus cluster analysis was used to identify PMRG expression subtypes in the METABRIC cohort. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic genes, which were subsequently used to construct a predictive model for BC, along with a novel nomogram based on PMRGs. The model was validated using an independent cohort (GSE86166). Independent prognostic genes

SUBMITTER: Wang R 

PROVIDER: S-EPMC12350266 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature