An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancer.

ABSTRACT:

Background

The epithelial-mesenchymal transition (EMT) plays an indispensable role in the development and progression of Endometrial cancer (EC). Nevertheless, little evidence is reported to uncover the functionality and application of EMT-related molecules in the prognosis of EC. This study aims to develop novel molecular markers for prognosis prediction in patients with EC.

Methods

RNA sequencing profiles of EC patients obtained from The Cancer Genome Atlas (TCGA) database were used to screen differential expression genes (DEGs) between tumors and normal tissues. The Cox regression model with the LASSO method was utilized to identify survival-related DEGs and to establish a prognostic signature whose performance was evaluated by Kaplan-Meier curve, receiver operating chara

SUBMITTER: Yu Y 

PROVIDER: S-EPMC10506329 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature