LncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis.

ABSTRACT: Background: Breast cancer is intrinsically heterogeneous and is commonly classified into four main subtypes associated with distinct biological features and clinical outcomes. However, currently available data resources and methods are limited in identifying molecular subtyping on protein-coding genes, and little is known about the roles of long non-coding RNAs (lncRNAs), which occupies 98% of the whole genome. lncRNAs may also play important roles in subgrouping cancer patients and are associated with clinical phenotypes. Methods: The purpose of this project was to identify lncRNA gene signatures that are associated with breast cancer subtypes and clinical outcomes. We identified lncRNA gene signatures from The Cancer Genome Atlas (TCGA )RNAseq data that are associated with breast cancer

SUBMITTER: Zhang S 

PROVIDER: S-EPMC5852561 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature