BreastMark: an integrated approach to mining publicly available transcriptomic datasets relating to breast cancer outcome.

ABSTRACT:

Introduction

Breast cancer is a complex heterogeneous disease for which a substantial resource of transcriptomic data is available. Gene expression data have facilitated the division of breast cancer into, at least, five molecular subtypes, namely luminal A, luminal B, HER2, normal-like and basal. Once identified, breast cancer subtypes can inform clinical decisions surrounding patient treatment and prognosis. Indeed, it is important to identify patients at risk of developing aggressive disease so as to tailor the level of clinical intervention.

Methods

We have developed a user-friendly, web-based system to allow the evaluation of genes/microRNAs (miRNAs) that are significantly associated with survival in breast cancer and its molecular subtypes. The algorithm combines gene

SUBMITTER: Madden SF 

PROVIDER: S-EPMC3978487 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature