Developing a prognostic model of glutamine metabolism-related genes associated with clinical features and immune status in melanoma.

ABSTRACT:

Introduction

Melanoma exhibited a poor prognosis due to its aggression and heterogeneity. The effect of glutamate metabolism promoting tumor progression on cutaneous melanoma remains unknown. Herein, glutamine metabolism-related genes (GRGs) were identified followed by constructing a prognostic model for melanoma via bioinformatics analysis.

Methods

Patient data were collected from ,Gene Expression Omnibus (GEO) and The Cancer Genome Atlas-Skin Cutaneous Melanoma (TCGA-SKCM). In addition, GRGs were extracted from the MSigDB database, and the R package "Seurat" was used for scRNA-seq data processing.

Results

eight key genes (CHMP4A, IFFO1, ANKRD10, ZDHHC11, CLPB, ANKMY1, TCAP and POLG2) were identified to construct a risk model. Based on univariate and multivariate Cox

SUBMITTER: Hu H 

PROVIDER: S-EPMC12405417 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature