Identification of EMT-Related Gene Signatures to Predict the Prognosis of Patients With Endometrial Cancer

Abstract

We constructed ERG signatures to predict the prognosis of EC patients using bioinformatics methods. Our findings provide a thorough understanding of the effect of EMT in patients with EC and provide new targets and ideas for individualized treatment, which has important clinical significance.