MiRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.

ABSTRACT:

Introduction

Breast cancer is a genetically and phenotypically complex disease. To understand the role of miRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer cell lines to identify miRNAs associated with the most common molecular subtypes and the most frequent genetic aberrations.

Methods

Using a microarray carrying LNA™ modified oligonucleotide capture probes), expression levels of 725 human miRNAs were measured in 51 breast cancer cell lines. Differential miRNA expression was explored by unsupervised cluster analysis and was then associated with the molecular subtypes and genetic aberrations commonly present in breast cancer.

Results

Unsupervised cluster analysis using the most

SUBMITTER: Riaz M 

PROVIDER: S-EPMC3672661 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature