Analysis of Melanoma Gene Expression Signatures at the Single-Cell Level Uncovers 45-Gene Signature Related to Prognosis.

ABSTRACT: Since the current melanoma clinicopathological staging system remains restricted to predicting survival outcomes, establishing precise prognostic targets is needed. Here, we used gene expression signature (GES) classification and Cox regression analyses to biologically characterize melanoma cells at the single-cell level and construct a prognosis-related gene signature for melanoma. By analyzing publicly available scRNA-seq data, we identified six distinct GESs (named: "Anti-apoptosis", "Immune cell interactions", "Melanogenesis", "Ribosomal biogenesis", "Extracellular structure organization", and "Epithelial-Mesenchymal Transition (EMT)"). We verified these GESs in the bulk RNA-seq data of patients with skin cutaneous melanoma (SKCM) from The Cancer Genome Atlas (TCGA). Four GESs ("Immune

SUBMITTER: Bakr MN 

PROVIDER: S-EPMC9313451 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature