Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer.

ABSTRACT: The unprecedented proliferation of recent large-scale and multi-omics databases of cancers has given us many new insights into genomic and epigenomic deregulation in cancer discovery in general. However, we wonder whether or not there exists a systematic connection between copy number aberrations (CNA) and methylation (MET)? If so, what is the role of this connection in breast cancer (BRCA) tumorigenesis and progression? At the same time, the PAM50 intrinsic subtypes of BRCA have gained the most attention from BRCA experts. However, this classification system manifests its weaknesses including low accuracy as well as a possible lack of association with biological phenotypes, and even further investigations on their clinical utility were still needed. In this study, we performed an integrat

SUBMITTER: Nguyen QH 

PROVIDER: S-EPMC7594512 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature