Prospective Breast Cancer Biomarkers Identified Using miR-526b-Driven Metabolic Alterations.

ABSTRACT:

Objectives

Breast cancer is a heterogeneous disease driven by dysregulated cellular processes, including altered metabolic pathways. The oncogenic microRNA miR-526b influences several cancer hallmark phenotypes and holds promise as a plasma biomarker. Given miR-526b's role in metabolic regulation, we have decided LDHA, PDHA1, ATP5A1, and TIGAR that may help to identify additional biomarkers for breast cancer detection.

Methods

We analyzed mRNA expression of these 4 metabolic markers in breast cancer tissue biopsies and plasma samples from patients and disease-free controls, using publicly available datasets and RT-qPCR validation. Diagnostic performance was evaluated using univariate and multivariate logistic regression and LASSO regression modeli

SUBMITTER: Nault B 

PROVIDER: S-EPMC12813260 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature