MicroRNA signature for estimating the survival time in patients with bladder urothelial carcinoma.

ABSTRACT: Bladder urothelial carcinoma (BLC) is one of the most common cancers in men, and its heterogeneity challenges the treatment to cure this disease. Recently, microRNAs (miRNAs) gained promising attention as biomarkers due to their potential roles in cancer biology. Identifying survival-associated miRNAs may help identify targets for therapeutic interventions in BLC. This work aims to identify a miRNA signature that could estimate the survival in patients with BLC. We developed a survival estimation method called BLC-SVR based on support vector regression incorporated with an optimal feature selection algorithm to select a robust set of miRNAs as a signature to estimate the survival in patients with BLC. BLC-SVR identified a miRNA signature consisting of 29 miRNAs and obtained a mean squared

SUBMITTER: Yerukala Sathipati S 

PROVIDER: S-EPMC8907292 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature