A Comprehensive Data Analysis of Differentially Regulated Genes in Melanoma Yanjie Han (
[email protected] ) Clinical Laboratory, Kaifeng Central Hospital, 85 Hedao Street, Kaifeng, Henan 475000, China. https://orcid.org/0000-0003-3755-1386 Xinxin Li Functional Laboratory, Kaifeng Central Hospital, Kaifeng, Henan 475000 Jiliang Yan Clinical Laboratory,Kaifeng Central Hospital, Kaifeng, Henan 475000 Chunyan Ma Clinical Laboratory,Kaifeng Central Hospital, Kaifeng, Henan 475000 Xin Wang Department of Stomatology, Kaifeng Central Hospital, Kaifeng, Henan 475000 Hong Pan Department of Stomatology, Kaifeng Central Hospital, Kaifeng, Henan 475000 Xiaoli Zheng Hospital Infection Control Oce, First Aliated Hospital of Henan University, Kaifeng, Henan 475000 Zhen Zhang Clinical Laboratory,Kaifeng Central Hospital, Kaifeng, Henan 475000 Biao Gao Clinical Laboratory,Kaifeng Central Hospital, Kaifeng, Henan 475000 Xin-Ying JI (
[email protected] ) Kaifeng Key Laboratory for Infectious Diseases and Biosafety, Henan International Joint Laboratory of Nuclear Protein Regulation, Henan University College of Medicine, Kaifeng, Henan 475004 Research Keywords: melanoma, DEGs, bioinformatics analysis Posted Date: March 30th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-19035/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/16 Abstract Background: Melanoma is the most deadly tumor in skin tumors and is prone to distant metastases. The incidence of melanoma has increased rapidly in the past few decades, and current trends indicate that this growth is continuing. This study was aimed to explore the molecular mechanisms of melanoma pathogenesis and discover underlying pathways and genes associated with melanoma. Methods: We used high-throughput expression data to study differential expression proles of related genes in melanoma.