Development and validation of a glycosyltransferase-associated prognostic model for melanoma and characterization of the tumor immune microenvironment using single-cell sequencing data.

ABSTRACT: This study aimed to develop a predictive model based on glycosyltransferase-related genes (GTs) to forecast the survival time of patients with Skin Cutaneous Melanoma (SKCM) and to explore the pathways and mechanisms through which GTs influence SKCM prognosis. Transcriptomic data of SKCM from The Cancer Genome Atlas (TCGA) were utilized for individualized predictive modeling, and the model's reliability was validated using GEO data. Univariate Cox regression and LASSO-Cox regression analyses were employed to select prognostically relevant biomarkers, and a predictive risk score was constr, ucted using multivariate Cox regression. Functional annotation of the risk score was performed through GO, KEGG, and GSEA analyses. The performance of the nomogram model was evaluated using ROC curves, c

SUBMITTER: Jia-Xin M 

PROVIDER: S-EPMC12803814 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature