Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer.

ABSTRACT:

Background

Uterus corpus endometrial cancer (UCEC) is the main malignant tumor in gynecology, with a high degree of heterogeneity, especially in terms of prognosis and immunotherapy efficacy. DNA methylation is one of the most important epigenetic modifications. Studying DNA methylation can help predict the prognosis of cancer patients and provide help for clinical treatment. Our research aims to discover whether abnormal DNA methylation can predict the prognosis of UCEC and reflect the patient's tumor immune microenvironment.

Patients and methods

The clinical data, DNA methylation data, gene expression data and somatic mutation data of UCEC patients were all downloaded from the TCGA database. The MethylMix algorithm was used to integrate DNA methylation data and mRNA expres

SUBMITTER: Liu J 

PROVIDER: S-EPMC8272318 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature