Identification of hub genes in papillary thyroid carcinoma: robust rank aggregation and weighted gene co-expression network analysis.

ABSTRACT:

Background

Papillary thyroid carcinoma (PTC), which is the most common endocrine malignancy, has been steadily increasing worldwide in incidence over the years, while mechanisms underlying the pathogenesis and diagnostic for PTC are incomplete. The purpose of this study is to identify potential biomarkers for diagnosis of PTC, and provide new insights into pathogenesis of PTC.

Methods

Based on weighted gene co-expression network analysis, Robust Rank Aggregation, functional annotation, GSEA and DNA methylation, were employed for investigating potential biomarkers for diagnosis of PTC.

Results

Black and turquoise modules were identified in the gene co-expression network constructed by 1807 DEGs that from 6 eligible gene expression profiles of Gene Expression Omnibus da

SUBMITTER: Liu Y 

PROVIDER: S-EPMC7161219 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature