Ontology highlight
ABSTRACT: Background
A critical problem in the clinical management of prostate cancer is that it is highly heterogeneous. Accurate prediction of individual cancer behaviour is therefore not achievable at the time of diagnosis leading to substantial overtreatment. It remains an enigma that, in contrast to breast cancer, unsupervised analyses of global expression profiles have not currently defined robust categories of prostate cancer with distinct clinical outcomes.Objective
To devise a novel classification framework for human prostate cancer based on unsupervised mathematical approaches.Design, setting, and participants
Our analyses are based on the hypothesis that previous attempts to classify prostate cancer have been unsuccessful because individual samples of prostate canc
SUBMITTER: Luca BA
PROVIDER: S-EPMC5669460 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature