Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients.

ABSTRACT:

Background

The attempt to exploit molecular subtyping for risk stratification in breast cancer patients has been only partially successful with a limited application in the clinical practice. In the BREMIR study, we aimed to identify a panel of miRNAs as prognostic biomarkers for breast cancer. We first confirmed the association of previously linked miRNAs with critical clinical parameters, then adopted a discovery-driven approach to identify novel biomarkers.

Methods

miRNA expression was analyzed using the Affymetrix Gene Chip 4.0 array in a discovery cohort of 34 patients (3 with synchronous metastases, 14 who developed metastases after 10 years, and 17 who remained metastasis-free) and 6 controls. RT-qPCR validated selected miRNAs in an extended cohort (n = 223) with a me

SUBMITTER: Fontana A 

PROVIDER: S-EPMC12482499 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature