Literature DB >> 23092544

Contemporary grading for prostate cancer: implications for patient care.

Fadi Brimo1, Rodolfo Montironi, Lars Egevad, Andreas Erbersdobler, Daniel W Lin, Joel B Nelson, Mark A Rubin, Theo van der Kwast, Mahul Amin, Jonathan I Epstein.   

Abstract

CONTEXT: The Gleason grading system is one of the most powerful predictors of outcome in prostate cancer and a cornerstone in counseling and treating patients. Since its inception, it has undergone several modifications triggered by a change in clinical practice and a better understanding of the cancer's histologic spectrum and variants and their prognostic significance.
OBJECTIVE: To provide an overview of the implementation and the impact of the Gleason system as a predictive and prognostic tool in all available treatment modalities, and to compare the original and modified Gleason systems in major pathologic and clinical outcome data sets. EVIDENCE ACQUISITION: A comprehensive nonsystematic Medline search was performed using multiple Medical Subject Headings such as Gleason, modified, system, outcome, biopsy, prostatectomy, recurrence, prognosis, radiotherapy, and focal therapy, with restriction to the English language and a preference for publications within the last 10 yr. All Gleason grade-related studies in the last 3 yr were reviewed. For studies before this date, we relied on prior culling of the literature for various recent books, chapters, and original articles on this topic. EVIDENCE SYNTHESIS: Using the modified grading system resulted in disease upgrading with more cancers assigned a Gleason score ≥ 7 than in the past. It also resulted in a more homogeneous Gleason score 6, which has an excellent prognosis when the disease is organ confined. The vast majority of studies using both systems showed that Gleason grading of adenocarcinomas on needle biopsies and radical prostatectomies was strongly associated with pathologic stage, status of surgical margins, metastatic disease, biochemical recurrence, and cancer-specific survival, with the modified system outperforming the original one in some large series. A description of the continuous incorporation of this parameter in the clinical decision making for treating prostate cancer using all currently used treatment modalities is presented, and the findings of studies before and after the inception of the modified grading system, if available, are compared. The proposed contemporary grading prognostic categories are 3+3, 3+4, 4+3, 8, and 9-10.
CONCLUSIONS: The Gleason score is one of the most critical predictive factors of prostate cancer regardless of the therapy used. Modernization of the Gleason grading system has resulted in a more accurate grading system for radical prostatectomy (RP) but has complicated the comparison of data before and after the updating. A better prognostication with the updated Gleason grading system for patients treated with modalities other than surgery can only be postulated at this time because there are limited conflicting data on radiation and no studies on other treatment modalities. Its greatest impact is the uniformly excellent prognosis associated with Gleason score 6 in RPs.
Copyright © 2012 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23092544     DOI: 10.1016/j.eururo.2012.10.015

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  27 in total

1.  A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.

Authors:  Jiayun Li; Karthik V Sarma; King Chung Ho; Arkadiusz Gertych; Beatrice S Knudsen; Corey W Arnold
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography.

Authors:  Berrend G Muller; Daniel M de Bruin; Willemien van den Bos; Martin J Brandt; Juliette F Velu; Mieke T J Bus; Dirk J Faber; Dilara Savci; Patricia J Zondervan; Theo M de Reijke; Pilar Laguna Pes; Jean de la Rosette; Ton G van Leeuwen
Journal:  J Med Imaging (Bellingham)       Date:  2015-07-09

3.  Low-Risk Prostate Cancer and Tumor Upgrading in the Surgical Specimen: Analysis of Clinical Factors Predicting Tumor Upgrading in a Contemporary Series of Patients Who were Evaluated According to the Modified Gleason Score Grading System.

Authors:  Antonio B Porcaro; Salvatore Siracusano; Nicolò de Luyk; Paolo Corsi; Marco Sebben; Alessandro Tafuri; Daniele Mattevi; Leonardo Bizzotto; Irene Tamanini; Maria A Cerruto; Guido Martignoni; Matteo Brunelli; Walter Artibani
Journal:  Curr Urol       Date:  2017-07-30

4.  Prognostic value of the new Grade Groups in Prostate Cancer: a multi-institutional European validation study.

Authors:  R Mathieu; M Moschini; B Beyer; K M Gust; T Seisen; A Briganti; P Karakiewicz; C Seitz; L Salomon; A de la Taille; M Rouprêt; M Graefen; S F Shariat
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-01-10       Impact factor: 5.554

5.  Predominance of ERG-negative high-grade prostate cancers in African American men.

Authors:  James Farrell; Denise Young; Yongmei Chen; Jennifer Cullen; Inger L Rosner; Jacob Kagan; Sudhir Srivastava; David G McLEOD; Isabell A Sesterhenn; Shiv Srivastava; Gyorgy Petrovics
Journal:  Mol Clin Oncol       Date:  2014-08-07

6.  HER2 gene amplification in patients with prostate cancer: Evaluating a CISH-based method.

Authors:  Nazanin Sharifi; Arash Salmaninejad; Samira Ferdosi; Abolfazl Nesaei Bajestani; Malihe Khaleghiyan; Mehrdad Asghari Estiar; Mansour Jamali; Mohammad Reza Nowroozi; Abbas Shakoori
Journal:  Oncol Lett       Date:  2016-10-10       Impact factor: 2.967

7.  Predicting the Gleason sum of a patient with a prostate biopsy core Gleason ≤7 and a prostate biopsy core Gleason ≥8.

Authors:  Olivier P Heimrath; Zuzana Kos; Eric C Belanger; Ilias Cagiannos; Chris Morash; Ronald G Gerridzen; Luke T Lavallée; Mark A Preston; Kelsey Witiuk; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2014-07       Impact factor: 1.862

8.  Active surveillance for the management of localized prostate cancer: Guideline recommendations.

Authors:  Chris Morash; Rovena Tey; Chika Agbassi; Laurence Klotz; Tom McGowan; John Srigley; Andrew Evans
Journal:  Can Urol Assoc J       Date:  2015 May-Jun       Impact factor: 1.862

9.  Machine learning approaches to analyze histological images of tissues from radical prostatectomies.

Authors:  Arkadiusz Gertych; Nathan Ing; Zhaoxuan Ma; Thomas J Fuchs; Sadri Salman; Sambit Mohanty; Sanica Bhele; Adriana Velásquez-Vacca; Mahul B Amin; Beatrice S Knudsen
Journal:  Comput Med Imaging Graph       Date:  2015-08-20       Impact factor: 4.790

10.  Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.

Authors:  Wenyuan Li; Jiayun Li; Karthik V Sarma; King Chung Ho; Shiwen Shen; Beatrice S Knudsen; Arkadiusz Gertych; Corey W Arnold
Journal:  IEEE Trans Med Imaging       Date:  2018-10-12       Impact factor: 10.048

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