A novel super-enhancer-related gene signature predicts prognosis and immune microenvironment for breast cancer.

ABSTRACT:

Background

This study targeted at developing a robust, prognostic signature based on super-enhancer-related genes (SERGs) to reveal survival prognosis and immune microenvironment of breast cancer.

Methods

RNA-sequencing data of breast cancer were retrieved from The Cancer Genome Atlas (TCGA), 1069 patients of which were randomly assigned into training or testing set in 1:1 ratio. SERGs were downloaded from Super-Enhancer Database (SEdb). After which, a SERGs signature was established based on the training set, with its prognostic value further validated in the testing set. Subsequently, we identified the potential function enrichment and tumor immune infiltration of the model. Moreover, in vitro experiments were completed to further explore the biological functions of ZIC2 g

SUBMITTER: Wu Q 

PROVIDER: S-EPMC10439574 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature