Abstract
Melanoma is the most deadly type of skin cancer. This study aimed at uncovering the molecular mechanisms underlying melanoma progression. This study used the microarray dataset GSE46517, downloaded from the Gene Expression Omnibus database, including eight normal tissue samples, nine nevus tissue samples, 31 primary melanoma samples, and 73 metastatic melanoma tissue samples. Differentially expressed genes (DEGs) in nevus, primary melanoma, and metastatic melanoma were identified, with which a reactome functional interaction (FI) network was constructed, and pathway enrichment analysis of the network modules was performed. The common DEGs in primary and metastatic melanoma were identified by venn diagram analysis, followed by Gene ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and a protein
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