Ontology highlight
ABSTRACT:
SUBMITTER: Kwak JT
PROVIDER: S-EPMC4348620 | biostudies-literature | 2015 Mar
REPOSITORIES: biostudies-literature
Kwak Jin Tae JT Kajdacsy-Balla André A Macias Virgilia V Walsh Michael M Sinha Saurabh S Bhargava Rohit R
Scientific reports 20150304
Precise Outcome prediction is crucial to providing optimal cancer care across the spectrum of solid cancers. Clinically-useful tools to predict risk of adverse events (metastases, recurrence), however, remain deficient. Here, we report an approach to predict the risk of prostate cancer recurrence, at the time of initial diagnosis, using a combination of emerging chemical imaging, a diagnostic protocol that focuses simultaneously on the tumor and its microenvironment, and data analysis of frequen ...[more]