Identification of Meningioma Patients at High Risk of Tumor Recurrence Using MicroRNA Profiling.

ABSTRACT:

Background

Meningioma growth rates are highly variable, even within benign subgroups, with some remaining stable, whereas others grow rapidly.

Objective

To identify molecular-genetic markers for more accurate prediction of meningioma recurrence and better-targeted therapy.

Methods

Microarrays identified microRNA (miRNA) expression in primary and recurrent meningiomas of all World Health Organization (WHO) grades. Those found to be deregulated were further validated by quantitative real-time polymerase chain reaction in a cohort of 172 patients. Statistical analysis of the resulting dataset revealed predictors of meningioma recurrence.

Results

Adjusted and nonadjusted models of time to relapse identified the most significant prognosticators to be miR-15a-5p, miR

SUBMITTER: Slavik H 

PROVIDER: S-EPMC7566524 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature