Bioinformatics Analysis for the Microarray Data of Melanoma to Identify Hub Genes, Mirna, and Transcriptional Factor: Novel Insilco Approach

Abstract

Identification of putative genetic and signaling pathways linked to various diseases, particularly cancers like melanoma, has been made possible through the widespread application of bioinformatics analysis of biological data. Melanocytic tumor is abnormal growth of melanocytes that responsible for production of melanin. Although less than 5% of all skin cancers identified are melanoma, over 75% of all skin cancer deaths are melanoma-related. Many studies have employed bioinformatics techniques to forecast prognosis and risk stratify in cases of cutaneous melanoma, as well as to better understand the genetic origins of melanoma. This study aimed to screen the core genes and molecular mechanisms related to melanoma and recent applications of bioinformatics in identifying more effective preventive and therapeutic targets of melanoma patients. We found that the top 10 regulated hub genes were ERBB3, DCN, NRG1, UBC, HBEGF, EGF, and EREG, PTGS2, ERBB2, and EGFR. The most implicated pathways were cell adhesion molecules and antigen processing and presentation and hsa-mir-124-3r is the most microRNA that regulate most important DEGs.