Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome.

ABSTRACT:

Background

Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes.

Methods

Tumor tissue from 425 patients with primary breast cancer from the Oslo2 study was cut and blended, and divided into fractions for DNA, RNA and protein isolation and metabolomics, allowing the acquisition of representative and comparable molecular data. Patients were stratified into groups based on their tumor characteristics from five different molecular levels, using various clustering methods. Finally, all previously identified and newly determined subgroups were combined in a multilevel classification using a "cluster-of-clusters" approach with c

SUBMITTER: Aure MR 

PROVIDER: S-EPMC5372339 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature