Transcriptional Network Architecture of Breast Cancer Molecular Subtypes.

ABSTRACT: Breast cancer heterogeneity is evident at the clinical, histological and molecular level. High throughput technologies allowed the identification of intrinsic subtypes that capture transcriptional differences among tumors. A remaining question is whether said differences are associated to a particular transcriptional program which involves different connections between the same molecules. In other words, whether particular transcriptional network architectures can be linked to specific phenotypes. In this work we infer, construct and analyze transcriptional networks from whole-genome gene expression microarrays, by using an information theory approach. We use 493 samples of primary breast cancer tissue classified in four molecular subtypes: Luminal A, Luminal B, Basal and HER2-enriched. Fo

SUBMITTER: de Anda-Jauregui G 

PROVIDER: S-EPMC5118907 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature