Identification of differentially expressed methylated genes in melanoma versus nevi using bioinformatics methods.

ABSTRACT:

Background

Melanoma is a highly invasive malignant skin tumor. While melanoma may share some similarities with that of melanocytic nevi, there also exist a number of distinct differences between these conditions. An analysis of these differences may provide a means to more effectively evaluate the etiology and pathogenesis of melanoma. In particular, differences in aberrant methylation expression may prove to represent a critical distinction.

Methods

Data from gene expression datasets (GSE3189 and GSE46517) and gene methylation datasets (GSE86355 and GSE120878) were downloaded from the GEO database. GEO2R was used to obtain differentially expressed genes (DEGs) and differentially methylation genes (DMGs). Function and pathway enrichment of selected genes were performed using

SUBMITTER: He C 

PROVIDER: S-EPMC7275674 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature