AUTHOR=Hu Hongyan , Yang Jing , Miao Jin , Li Chen , Wang Cao , Ran Fengming , Zou Jie , Zhang Yi , Zhao Liufang , Zhao Wentao , Ai Conghui TITLE=Developing a prognostic model of glutamine metabolism-related genes associated with clinical features and immune status in melanoma JOURNAL=Frontiers in Oncology VOLUME=Volume 15 - 2025 YEAR=2025 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2025.1485006 DOI=10.3389/fonc.2025.1485006 ISSN=2234-943X ABSTRACT=IntroductionMelanoma 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.MethodsPatient 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.Resultseight key genes (CHMP4A, IFFO1, ANKRD10, ZDHHC11, CLPB, ANKMY1, TCAP and POLG2) were identified to construct a risk model. Based on univariate and multivariate Cox regression analyses, clinical characteristics including Clark stage and ulcer status were identified as independent prognostic factors, and a nomogram was successfully constructed. Survival analysis demonstrated that the overall survival rates of the high-risk group were lower than those of the low-risk group. The gene set enrichment analysis (GSEA) results showed that only ANKRD10, ANKMY1 and TCAP were enriched in the “glycolysis gluconeogenesis” pathway. The high-risk and low-risk groups displayed significant differences in immune cell infiltration and immune checkpoint expression. Analysis on drug sensitivity revealed that the high-risk group was highly sensitive to rapamycin. Additionally, it was verified that IFFO1, ANKRD10 and POLG2 were markedly upregulated and CHMP4A was also markedly downregulated in A375 cells by RT-PCR, which was consistent with the partial results of biological analysis.DiscussionOverall, it would provide valuable information about the GRGs of prognosis and immune status in melanoma.