10 research outputs found
Decipher identifies men with otherwise clinically favorable-intermediate risk disease who may not be good candidates for active surveillance
BackgroundWe aimed to validate Decipher to predict adverse pathology (AP) at radical prostatectomy (RP) in men with National Comprehensive Cancer Network (NCCN) favorable-intermediate risk (F-IR) prostate cancer (PCa), and to better select F-IR candidates for active surveillance (AS).MethodsIn all, 647 patients diagnosed with NCCN very low/low risk (VL/LR) or F-IR prostate cancer were identified from a multi-institutional PCa biopsy database; all underwent RP with complete postoperative clinicopathological information and Decipher genomic risk scores. The performance of all risk assessment tools was evaluated using logistic regression model for the endpoint of AP, defined as grade group 3-5, pT3b or higher, or lymph node invasion.ResultsThe median age was 61 years (interquartile range 56-66) for 220 patients with NCCN F-IR disease, 53% classified as low-risk by Cancer of the Prostate Risk Assessment (CAPRA 0-2) and 47% as intermediate-risk (CAPRA 3-5). Decipher classified 79%, 13% and 8% of men as low-, intermediate- and high-risk with 13%, 10%, and 41% rate of AP, respectively. Decipher was an independent predictor of AP with an odds ratio of 1.34 per 0.1 unit increased (p value = 0.002) and remained significant when adjusting by CAPRA. Notably, F-IR with Decipher low or intermediate score did not associate with significantly higher odds of AP compared to VL/LR.ConclusionsNCCN risk groups, including F-IR, are highly heterogeneous and should be replaced with multivariable risk-stratification. In particular, incorporating Decipher may be useful for safely expanding the use of AS in this patient population
Imaging in prostate cancer staging: present role e future perspectives
Despite recent improvements in detection and treatment,
prostate cancer continues to be the most common malignancy
and the second leading cause of cancer-related mortality.
Thus, although survival rate continues to improve,
prostate cancer remains a compelling medical health problem.
The major goal of prostate cancer imaging in the next
decade will be more accurate disease characterization
through the synthesis of anatomic, functional, and molecular
imaging information in order to plan the most appropriate
therapeutic strategy. No consensus exists regarding the
use of imaging for evaluating primary prostate cancer. However,
conventional and functional imaging are expanding
their role in detection and local staging and, moreover, functional
imaging is becoming of great importance in oncologic
management and monitoring of therapy response. This
review presents a multidisciplinary perspective on the role
of conventional and functional imaging methods in prostate
cancer staging