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Dataset Information

Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinoma.


ABSTRACT:

Background

Endometrial cancer is the fourth most common cancer in women. The death rate for endometrial cancer has increased. Glycolysis of cellular respiration is a complex reaction and is the first step in most carbohydrate catabolism, which was proved to participate in tumors.

Methods

We analyzed the sample data of over 500 patients from TCGA database. The bioinformatic analysis included GSEA, cox and lasso regression analysis to select prognostic genes, as well as construction of a prognostic model and a nomogram for OS evaluation. The immunohistochemistry staining, survival analysis and expression level validation were also performed. Maftools package was for mutation analysis. GSEA identified Glycolysis was the most related pathway to EC. qRT-PCR verified the expressio

SUBMITTER: Liu J 

PROVIDER: S-EPMC7247270 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature