
The addition of a novel genomic classifier (GC) during active surveillance for prostate cancer (PCa) was shown to predict disease progression independently from clinical risk assessment tools such as multiparametric magnetic resonance imaging (mpMRI), according to a recent study presented at the Society of Urologic Oncology (SUO) 25th Annual Meeting.
Mark I. Sultan, MD, of Mount Sinai West Hospital, New York, presented the findings at the annual meeting. In explaining the study background, the researchers pointed to the fact that more than 27% of newly diagnosed PCa cases are classified as low risk or below by National Comprehensive Cancer Network (NCCN) guidelines. As such, active surveillance (AS) is often used to manage low-risk diagnoses, despite the 20% to 50% risk of PCa progression at five years.
The primary aim of the study was to assess imaging and genomic risk stratification tools upon diagnosis of PCa “with AS clinical progression to treatment.” The researchers also aimed to determine whether the combination of mpMRI and Decipher testing would improve the predictability of disease progression and prognosis.