Identification of a Treg-related gene signature for predicting prognosis and immunosuppression in skin cutaneous melanoma.

ABSTRACT: Skin cutaneous melanoma (SKCM) is an aggressive malignancy where regulatory T cells (Tregs) drive an immunosuppressive tumor microenvironment, resulting in poor prognosis. Thus, there was an urgent need to identify Treg-related molecular biomarkers to optimize SKCM's prognostic assessment and therapeutic strategies. In this study, SKCM-related datasets were acquired from public databases. First, gene modules associated with Tregs screened using Weighted Correlation Network Analysis were intersected with differentially expressed genes to obtain Treg-DEGs. Subsequently, univariate Cox proportional hazards regression, LASSO regression, and multivariate Cox proportional hazards regression were employed to construct a prognostic biomarker signature. Furthermore, the biological functions of the

SUBMITTER: Lian C 

PROVIDER: S-EPMC12644163 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature