<p>Melanoma, an aggressive form of skin cancer, is associated with a poor prognosis in advanced stages. Early detection and identification of novel biomarkers are crucial for improving patient survival rates. Ribosomal proteins have emerged as potential contributors to cancer progression, including in melanoma, highlighting the need to explore their role. This study aims to investigate the roles of microRNAs (miRNAs), circular RNAs (circRNAs), and long non-coding RNAs (lncRNAs) in melanoma pathogenesis, with an emphasis on their interactions with key protein-coding genes and regulatory pathways. By utilizing bioinformatics approaches, this research seeks to identify potential molecular networks that may inform future diagnostic or therapeutic strategies for melanoma. DEGs were identified by analyzing gene expression profiles from the GSE100158 dataset, which includes melanoma samples (22 melanoma, 5 controls). Differential expression analysis was performed using the limma package. A protein-protein interaction (PPI) network was constructed to identify key top ten genes and central genes in PPI network. A total of 79 DEGs were identified, including several ribosomal proteins such as RPL14 and RPL26, which were found to be significantly upregulated in melanoma. PPI network analysis revealed that these ribosomal proteins were key hub genes with strong associations with cancer-related processes. Ribosomal proteins, especially RPL14 and RPL26, may serve as potential candidates with diagnostic relevance and provide insights into melanoma pathogenesis, pending experimental validation.</p>