Identification of key gene modules for human osteosarcoma by co-expression analysis.

ABSTRACT:

Background

Osteosarcoma is a type of bone cancer casting huge threat to the human health worldwide. Previously, gene expression analyses were performed to identify biomarkers for cancer; however, systemic co-expression analysis for osteosarcoma is still in need. The aim of this study was to construct a gene co-expression network that predicts clusters of candidate genes associated with the pathogenesis of osteosarcoma.

Methods

Here, we extracted the large scale of datasets from the GEO database. With systematical approaches, we identified the co-expression modules by using weighted gene co-expression network analysis (WGCNA) and investigated the functional enrichments of important modules at GO and KEGG terms.

Results

First, seven co-expression modules, which contain

SUBMITTER: Zhang J 

PROVIDER: S-EPMC5932805 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature