Weighted correlation network and differential expression analyses identify candidate genes associated with BRAF gene in melanoma.

ABSTRACT:

Background

Primary cutaneous malignant melanoma is a cancer of the pigment cells of the skin, some of which are accompanied by BRAF mutation. Melanoma incidence and mortality rates have been rising around the world. As the current knowledge about pathogenesis, clinical and genetic features of cutaneous melanoma is not very clear, we aim to use bioinformatics to identify the potential key genes involved in the expression and mutation status of BRAF.

Methods

Firstly, we used UCSC public hub datasets of melanoma (Lin et al., Cancer Res 68(3):664, 2008) to perform weighted genes co-expression network analysis (WGCNA) and differentially expressed genes analysis (DEGs), respectively. Secondly, overlapping genes between significant gene modules and DEGs were screened and validated

SUBMITTER: Zhao B 

PROVIDER: S-EPMC6441238 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature