Literature DB >> 29032238

Prostate-specific Antigen Density Is a Good Predictor of Upstaging and Upgrading, According to the New Grading System: The Keys We Are Seeking May Be Already in Our Pocket.

Aldo Brassetti1, Riccardo Lombardo2, Paolo Emiliozzi3, Antonio Cardi3, De Vico Antonio3, Iannello Antonio3, Scapellato Aldo3, Riga Tommaso3, Pansadoro Alberto3, D'Elia Gianluca3.   

Abstract

OBJECTIVE: To analyze the performance of prostate-specific antigen density (PSAD) as a predictor of upstaging and prognostic grade group (PGG) upgrading.
MATERIALS AND METHODS: We retrospectively evaluated data on men with prostate cancer (PCa) treated with robot-assisted laparoscopic radical prostatectomy (RALP) at our center in 2014-2015. Preoperative PSAD was calculated. Bioptic and pathologic PGGs were also considered in the analysis. We defined upgrading as any increase in PGG after RALP; upstaging was the pathologic diagnosis of a clinically unsuspected stage ≥3a PCa.
RESULTS: Data on 379 patients were analyzed. Upgrading was found in 41.4% of the patients; 29% of the patients were upstaged. On multivariable analysis, core involvement and PSAD were found to be predictors of upgrading (odds ratio [OR] 1.017, 95% confidence interval [CI] 1.001-1.034, P = .039; and OR 3.638, 95% CI 1.084-12.207, P = .001, respectively). Furthermore, core involvement and PSAD were predictors of upstaging (OR 1.020, 95% CI 1.020-1.034, P = .003; and OR 5.656, 95% CI 1.285-24.894, P = .022, respectively). PSAD showed areas under the curve of 0.712 (95% CI 0.645-0.780, P = .000) and 0.628 (95% CI 0.566-0.689, P = .000) for the prediction of upgrading and upstaging, respectively. In a subpopulation of 90 patients theoretically eligible for active surveillance, 14% were found upstaged and 17% were upgraded. PSAD showed areas under the curve of 0.894 (95% CI 0.808-0.97, P = .000) and 0.689 (95% CI 0.539-0.840, P = .021) for the prediction of upgrading and upstaging, respectively.
CONCLUSION: PSAD is a valuable predictor of upgrading and upstaging in men with PCa who were candidates for surgery and is accurate in selecting patients for AS.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29032238     DOI: 10.1016/j.urology.2017.07.071

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

1.  The Utility of Prostate Specific Antigen Density, Prostate Health Index, and Prostate Health Index Density in Predicting Positive Prostate Biopsy Outcome is Dependent on the Prostate Biopsy Methods.

Authors:  Camila Lopes Vendrami; Robert J McCarthy; Argha Chatterjee; David Casalino; Edward M Schaeffer; William J Catalona; Frank H Miller
Journal:  Urology       Date:  2019-03-27       Impact factor: 2.649

2.  Physical activity decreases the risk of cancer reclassification in patients on active surveillance: a multicenter retrospective study.

Authors:  Aldo Brassetti; Mariaconsiglia Ferriero; Giorgio Napodano; Roberto Sanseverino; Fabio Badenchini; Gabriele Tuderti; Umberto Anceschi; Alfredo Bove; Leonardo Misuraca; Riccardo Mastroianni; Flavia Proietti; Michele Gallucci; Giuseppe Simone
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-05-18       Impact factor: 5.455

3.  Predictive model using prostate MRI findings can predict candidates for nerve sparing radical prostatectomy among low-intermediate risk prostate cancer patients.

Authors:  Gang Song; Mingjian Ruan; He Wang; Zhiyong Lin; Xiaoying Wang; Xueying Li; Peng Li; Yandong Wang; Binyi Zhou; Xuege Hu; Hua Liu; Hao Wang; Yinglu Guo
Journal:  Transl Androl Urol       Date:  2020-04

4.  The Impact of Prostate Cancer Upgrading and Upstaging on Biochemical Recurrence and Cancer-Specific Survival.

Authors:  Arnas Bakavičius; Mingailė Drevinskaitė; Kristina Daniūnaitė; Marija Barisienė; Sonata Jarmalaitė; Feliksas Jankevičius
Journal:  Medicina (Kaunas)       Date:  2020-02-04       Impact factor: 2.430

5.  Urinary DNA methylation biomarkers for prediction of prostate cancer upgrading and upstaging.

Authors:  Arnas Bakavicius; Kristina Daniunaite; Kristina Zukauskaite; Marija Barisiene; Sonata Jarmalaite; Feliksas Jankevicius
Journal:  Clin Epigenetics       Date:  2019-08-05       Impact factor: 6.551

  5 in total

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