Dataset Information

The combination of prostate MRI PI-RADS scoring system and a genomic classifier is associated with pelvic lymph node metastasis at the time of radical prostatectomy.

ABSTRACT:

Objective

Pelvic lymph node metastasis (PLNM) at the time of radical prostatectomy (RP) portends an unfavorable prognosis in prostate cancer patients. Conventional and advanced imaging remains limited in its ability to detect PLNM. We sought to evaluate the combination of a genomic classifier Decipher with Prostate Imaging Reporting and Data System (PI-RADS) scores in improving the detection of PLNM.

Methods

A retrospective review was performed of patients whom underwent RP, Decipher analysis, and pre-operative prostate MRI. Categorical variables were compared using Pearson chi-squareχ2 tests. Quantitative variables were assessed with Wilcoxon rank-sum tests. Multivariable logistic regression was used to identify predictors of PLNM on final pathology.

Results

In total, 202 patients were included in the analysis, 23 of whom (11%) had PLNM. Patients with PLNM had higher median Decipher scores (0.73) than those without PLNM (0.61; p = 0.003). Patients with PLNM were more likely to demonstrate PI-RADS scores ≥ 4 (96%) than those without PLNM (74%; p = 0.012). Logistic regression demonstrated an interaction between Decipher score with PI-RADS score ≥4 (OR = 20.41; 95% CI, 2.10-198.74; p = 0.009) The combination demonstrated an area under the curve (AUC) of 0.73 (95% CI, 0.63-0.82; p < 0.001) for predicting PLNM.

Conclusion

The combination of elevated Decipher genomic score (≥ 0.6) and clinically significant PI-RADS score (≥ 4) is associated with PLNM at the time of RP in a modern high-risk cohort of patients with PCaprostate cancer.

Advances in knowledge

Prostate MRI and genomic testing may help identify patients with adverse pathology.

SUBMITTER: Benidir T

PROVIDER: S-EPMC10078867 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The combination of prostate MRI PI-RADS scoring system and a genomic classifier is associated with pelvic lymph node metastasis at the time of radical prostatectomy.

Benidir Tarik T Lone Zaeem Z Nguyen Jane K JK Ward Ryan R Hofmann Martin M Klein Eric A EA Mian Omar Y OY Weight Christopher J CJ Purysko Andrei S AS

The British journal of radiology 20230220 1144

<h4>Objective</h4>Pelvic lymph node metastasis (PLNM) at the time of radical prostatectomy (RP) portends an unfavorable prognosis in prostate cancer patients. Conventional and advanced imaging remains limited in its ability to detect PLNM. We sought to evaluate the combination of a genomic classifier Decipher with Prostate Imaging Reporting and Data System (PI-RADS) scores in improving the detection of PLNM.<h4>Methods</h4>A retrospective review was performed of patients whom underwent RP, Decip ...[more]

PMID: 36745009

Similar Datasets

Project description:ObjectiveTo evaluate the performance of the Decipher test in predicting lymph node invasion (LNI) on radical prostatectomy (RP) specimens.MethodsWe identified 1,987 consecutive patients with RP who received the Decipher test between February and August 2015 (contemporary cohort). In the contemporary cohort, only the Decipher score from RP specimens was available for analysis. In addition, we identified a consecutive cohort of patients treated with RP between 2006 and 2012 at the University of California, San Diego, with LNI upon pathologic examination (retrospective cohort). The retrospective cohort yielded seven, 22, and 18 tissue specimens from prostate biopsy, RP, and lymph nodes (LNs) for individual patients, respectively. Univariable and multivariable logistic regression analyses were used to evaluate the performance of Decipher in the contemporary cohort with LNI as the endpoint. In the retrospective cohort, concordance of risk groups was assessed using validated cut-points for low (<0.45), intermediate (0.45-0.60), and high (>0.60) Decipher scores.ResultsIn the contemporary cohort, 51 (2.6%) patients had LNI. Decipher had an odds ratio of 1.73 (95% confidence interval, 1.46-2.05) and 1.42 (95% confidence interval, 1.19-1.7) per 10% increase in score on univariable and multivariable (adjusting for pathologic Gleason score, extraprostatic extension, and seminal vesicle invasion), respectively. No significant difference in the clinical and pathologic characteristics between the LN positive patients of contemporary and retrospective cohorts was observed (all P>0.05). Accordingly, among LN-positive patients in the contemporary cohort and retrospective cohort, 80% and 77% had Decipher high risk scores (P=1). In the retrospective cohort, prostate biopsy cores with the highest Gleason grade and percentage of tumor involvement had 86% Decipher risk concordance with both RP and LN specimens.ConclusionDecipher scores were highly concordant between pre- and post-surgical specimens. Further, Decipher scores from RP tissue were predictive of LNI at RP. If validated in a larger cohort of prostate biopsy specimens for prediction of adverse pathology at RP, Decipher may be useful for improved pre-operative staging.

Project description:Background and objectiveThe role of pelvic lymph node dissection (PLND) for prostate cancer is still controversial. This study aims to compare the outcomes of PLND between extraperitoneal single-port (SP eRARP) and transperitoneal multiport (MP tRARP) robotic-assisted radical prostatectomy.MethodsThis was a retrospective analysis from our single-center database for patients who underwent SP eRARP or MP tRARP with PLND between 2015 and 2023. The primary endpoint was to analyze and compare specific data related to PLND between the two populations by the detection of pN+ patients, the total number of lymph nodes removed, and the number of positive lymph nodes removed. The secondary endpoints included comparing major complications, lymphoceles, and biochemical recurrence between the two cohorts of the study.Key findings and limitationsA total of 293 patients were included, with 85 (29%) undergoing SP eRARP and 208 (71%) undergoing MP tRARP. SP eRARP showed significant differences in PLND extension from MP tRARP, while MP tRARP yielded more lymph nodes (p < 0.001). There were no differences in pN+ patient detection (p = 0.7) or the number of positive lymph nodes retrieved (p = 0.6). The rates of major complications (p = 0.6), lymphoceles (p = 0.2), and biochemical recurrence (p = 0.9) were similar between the two groups. Additionally, SP eRARP had shorter operative time (p = 0.045), hospital stay (p < 0.001), and less postoperative pain at discharge (p = 0.03). Limitations include a retrospective, single-center analysis.Conclusions and clinical implicationsDespite the SP approach in RARP resulting in fewer retrieved lymph nodes, outcomes were comparable with the MP approach regarding the detection of patients with positive lymph nodes and the number of positive nodes. Additionally, the SP approach led to lower pain levels and shorter hospital stays.Patient summaryWith this study, we demonstrate that pelvic lymph node dissection performed via the extraperitoneal approach during robotic-assisted radical prostatectomy with a single-port system provides comparable outcomes with the standard transperitoneal multiport approach in detecting patients with positive lymph nodes and retrieving positive nodes. In addition, it offers significantly reduced pain levels and shorter hospital stays.

Dataset Information

The combination of prostate MRI PI-RADS scoring system and a genomic classifier is associated with pelvic lymph node metastasis at the time of radical prostatectomy.

Objective

Methods

Results

Conclusion

Advances in knowledge

Publications

The combination of prostate MRI PI-RADS scoring system and a genomic classifier is associated with pelvic lymph node metastasis at the time of radical prostatectomy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets