Robust stratification of breast cancer subtypes using differential patterns of transcript isoform expression.

ABSTRACT: Breast cancer, the second leading cause of cancer death of women worldwide, is a heterogenous disease with multiple different subtypes. These subtypes carry important implications for prognosis and therapy. Interestingly, it is known that these different subtypes not only have different biological behaviors, but also have distinct gene expression profiles. However, it has not been rigorously explored whether particular transcriptional isoforms are also differentially expressed among breast cancer subtypes, or whether transcript isoforms from the same sets of genes can be used to differentiate subtypes. To address these questions, we analyzed the patterns of transcript isoform expression using a small set of RNA-sequencing data for eleven Estrogen Receptor positive (ER+) subtype and fourtee

SUBMITTER: Stricker TP 

PROVIDER: S-EPMC5367891 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature