The New Paradigm of Network Medicine to Analyze Breast Cancer Phenotypes.

ABSTRACT: Breast cancer (BC) is a heterogeneous and complex disease as witnessed by the existence of different subtypes and clinical characteristics that poses significant challenges in disease management. The complexity of this tumor may rely on the highly interconnected nature of the various biological processes as stated by the new paradigm of Network Medicine. We explored The Cancer Genome Atlas (TCGA)-BRCA data set, by applying the network-based algorithm named SWItch Miner, and mapping the findings on the human interactome to capture the molecular interconnections associated with the disease modules. To characterize BC phenotypes, we constructed protein-protein interaction modules based on "hub genes", called switch genes, both common and specific to the four tumor subtypes. Transcriptomic pro

SUBMITTER: Grimaldi AM 

PROVIDER: S-EPMC7555916 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature