This video highlights a clinical-genomic risk classification system that is highly prognostic for distant metastasis and more accurate than clinical risk assessments.
In this video, Daniel Eidelberg Spratt, MD, of the University of Michigan, discusses how the use of a readily available genomic classifier combined with clinicopathologic variables can generate a simple to use clinical-genomic risk classification system that is highly prognostic for distant metastasis and more accurate than clinical risk assessments.
Spratt presented results of the study (abstract 5000) at the 2017 American Society of Clinical Oncology (ASCO) Annual Meeting, held June 2–6 in Chicago.