Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.

ABSTRACT: The rates and routes of lethal systemic spread in breast cancer are poorly understood owing to a lack of molecularly characterized patient cohorts with long-term, detailed follow-up data. Long-term follow-up is especially important for those with oestrogen-receptor (ER)-positive breast cancers, which can recur up to two decades after initial diagnosis^1-6. It is therefore essential to identify patients who have a high risk of late relapse^7-9. Here we present a statistical framework that models distinct disease stages (locoregional recurrence, distant recurrence, breast-cancer-related death and death from other causes) and competing risks of mortality from breast cancer, while yielding individual risk-of-recurrence predictions. We apply this model to 3,240 patients with

SUBMITTER: Rueda OM 

PROVIDER: S-EPMC6647838 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature