An enhancer RNA-based risk model for prediction of bladder cancer prognosis

ABSTRACT:

Background

Bladder cancer patients have a high recurrence and poor survival rates worldwide. Early diagnosis and intervention are the cornerstones for favorable prognosis. However, commonly used predictive tools cannot meet clinical needs because of their insufficient accuracy.

Methods

We have developed an enhancer RNA (eRNA)-based signature to improve the prediction for bladder cancer prognosis. First, we analyzed differentially expressed eRNAs in gene expression profiles and clinical data for bladder cancer from The Cancer Genome Atlas database. Then, we constructed a risk model for prognosis of bladder cancer patients, and analyzed the correlation between this model and tumor microenvironment (TME). Finally, regulatory network of downstream genes of eRNA in the model w

SUBMITTER: Xu Z 

PROVIDER: S-EPMC9515318 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature