Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer.

ABSTRACT:

Objective

Aimed to construct an immune-related risk signature and nomogram predicting endometrial cancer (EC) prognosis.

Methods

An immune-related risk signature in EC was constructed using the least absolute shrinkage and selection operator regression analysis based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A nomogram integrating the immune-related genes and the clinicopathological characteristics was established and validated using the Kaplan-Meier survival curve and receiver operating characteristic (ROC) curve to predict the overall survival (OS) of EC patients. The Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) R tool was used to explore the immune and stromal scores.

Results

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC8039179 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature