Identification and prediction of common molecular culprits between psoriasis and melanoma via bioinformatical analysis

Abstract Background Psoriasis is an autoimmune, chronic inflammatory dermatosis characterized by excessive hyperproliferation of keratinocytes, manifested by skin lesions. Melanoma is a type of skin cancer that develops from melanocytes. Growing epidemiology evidence has indicated psoriasis could be associated with melanoma. This study aims to explore the common molecular mechanisms that connect psoriasis with melanoma. Methods Differentially expressed genes (DEGs) were obtained from melanoma and psoriasis GEO datasets. Next, using the GEO2R tool, common DEGs between melanoma and psoriasis samples were picked out. Finally, using in silico analysis, the hub genes and their significant molecular mechanisms were identified. Results 244 DEGs (p  Conclusion This in-silico study may shed light on the molecular culprits that predispose psoriasis patients to melanoma.