Identification of biomarkers related to the progression of cutaneous melanoma and construction of survival prognosis model.

ABSTRACT:

Background

Under certain circumstances, nevi may undergo malignant transformation into skin cutaneous melanoma (SKCM), which is a highly aggressive and deadly malignant tumor originating from melanocytes. Early identification of important genes in the development of nevus into melanoma, timely treatment and blocking of the disease process can effectively reduce the occurrence of melanoma.

Methods

Six datasets were downloaded from Gene Expression Omnibus with the keywords "nevus and melanoma". Differentially expressed genes (DEGs) in nevu vs. normal and melanoma vs. nevus were identified. WGCNA was used to identify disease status-related modules. Mfuzz clustering algorithm was used to select DEGs with different expression modes. PPI network was used for hub gene identificatio

SUBMITTER: Chen K 

PROVIDER: S-EPMC12583251 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature