Ontology highlight
ABSTRACT: Background
Advanced melanoma exhibits high primary resistance to immunotherapy and limited long-term response, suggesting the need for sensitive biomarkers and novel therapeutic targets to enhance treatment efficacy. We aimed to identify prognostic biomarkers and therapeutic targets for melanoma immunotherapy.Methods
Bulk RNA-sequencing data from public melanoma cohorts were analyzed to classify tumor samples into two clusters based on distinct expression patterns of immune-related hallmarks. Differential gene expression and least absolute shrinkage and selection operator (LASSO) Cox regression analysis identified nine core genes, which were integrated into a prognostic risk model. Single-cell RNA-sequencing analysis was then performed to characterize the immune cell hetero
SUBMITTER: Yao K
PROVIDER: S-EPMC12605685 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature