Novel Prostate Cancer Risk Classifier Highly Prognostic for Metastases

Video

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.

Recent Videos
Harmonizing protocols across the health care system may bolster the feasibility of giving bispecifics to those with lymphoma in a community setting.
Although accuracy remains a focus in whole-body MRI testing in patients with Li-Fraumeni syndrome, comfortable testing experiences may ease anxiety.
Subsequent testing among patients in a prospective study may affirm the ability of cfDNA sequencing to detect cancers in those with Li-Fraumeni syndrome.
cfDNA sequencing may allow for more accessible, frequent, and sensitive testing compared with standard surveillance in Li-Fraumeni syndrome.
STX-478 showed efficacy in patients with advanced solid tumors regardless of whether they had kinase domain or helical PI3K mutations.
STX-478 may avoid adverse effects associated with prior PI3K inhibitors that lack selectivity for the mutated protein vs the wild-type protein.
Phase 1 data may show the possibility of rationally designing agents that can preferentially target PI3K mutations in solid tumors.
Funding a clinical trial to further assess liquid biopsy in patients with Li-Fraumeni syndrome may help with detecting cancers early across the board.
Michael J. Hall, MD, MS, FASCO, discusses the need to reduce barriers to care for those with Li-Fraumeni syndrome, including those who live in rural areas.
Related Content