Three hub lncRNAs associated with prognosis of endometrial cancer identified by co-expression analysis

Endometrial cancer (UCEC) is a complex malignant tumor which remains the third cause of cancer-related death of women. Although UCEC has been repeatedly researched in recent years, the molecular heterogeneity of UCEC made it hard to predict clinical outcomes of this malignant disease. This study was aimed to access the prognostic value of long non-coding RNAs (lncRNAs) in UCEC patients and to identify potential lncRNA biomarker for improving the prognosis and diagnosis of patient. We performed a comprehensive genome-wide analysis of gene expression profiles and clinical data downloaded from The Cancer Genome Atlas (TCGA). After filtering out the differentially expressed genes (DEGs) from expression profiles, the co-expression modules were constructed by weighted gene co-expression network analysis. In the analysis of key modules, four hub genes (TPX2, KIF2C, AURKA and CDCA5) was filtered out, the three hub long non-coding RNAs (ENSG00000258884, ENSG00000274825 and ENSG00000271936) were discovered and verified to be potential prognostic biomarkers.