Molecular Pathways and Gene Analysis in Melanoma: A Comprehensive Study

Abstract

Melanoma represents one of the most aggressive forms of skin cancer with complex molecular underpinnings. This study aimed to identify and analyze key genetic signatures associated with melanoma pathogenesis using bioinformatics approaches. The top 30 melanoma-associated genes were acquired from the DisGeNET database and were subjected to comprehensive pathway enrichment analysis. Multiple databases including WikiPathways, GO Biological Process, GO Cellular Component, GO Molecular Function, Jensen Compartments, Jensen Tissues, ChEA, HMDB Metabolites and DrugMatrix were utilized for analysis. Statistical significance was determined using p-values and odds ratios. Pathway analysis revealed significant enrichment in cancerrelated signalling pathways, with 20 of the 30 genes mapping to Cancer Pathways (p < 1.0×10^-25) and 12 genes specifically to Melanoma pathways (p < 7.0×10^-23). GO analysis demonstrated enrichment in biological processes related to cellular proliferation and immune response. Cellular component analysis highlighted membrane and nuclear associations, while molecular function analysis revealed kinase activity and transcriptional regulation as key functions. PTEN and PIK3CA were significantly associated with phosphatidylinositol metabolites, while certain genes showed responsiveness to chemotherapeutic agents like chlorambucil and hydroxyurea. This study provides a comprehensive molecular profile of melanomaassociated genes, identifying critical pathways that could serve as potential therapeutic targets. The significant overlap with established cancer and melanoma pathways validates our methodology, while associations with specific metabolites and drug responses offer new avenues for personalized medicine approaches in melanoma treatment.