Identification of significant genes with a poor prognosis in skin cutaneous malignant melanoma based on a bioinformatics analysis.

ABSTRACT:

Background

Skin cutaneous malignant melanoma (SKCM) is a deadly mutated malignancy that arises from melanocytes in the basal layer of the skin. This study sought to identify effective treatment targets that could serve as prospective therapeutic targets to improve patient outcomes.

Methods

The GSE83583, GSE111766, and GSE104849 data sets from the GPL10558 platform in the Gene Expression Omnibus (GEO) were used in this study. The candidate genes were identified using the GEO2R tool and a Venn diagram. The Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Gene and Genome (KEGG) preliminary analyses of the differentially expressed genes (DEGs) were conducted using the Database for Annotation, Visualization and Integrated Discovery, and R software. The protein-protein inte

SUBMITTER: Wang J 

PROVIDER: S-EPMC9096380 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature