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Dataset Information

Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis.


ABSTRACT:

Introduction

This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.

Materials and methods

Gene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene's protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.

Results

A total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression o

SUBMITTER: Jiang J 

PROVIDER: S-EPMC8072149 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature