Literature DB >> 31279442

Controversial issues in Gleason and International Society of Urological Pathology (ISUP) prostate cancer grading: proposed recommendations for international implementation.

John R Srigley1, Brett Delahunt2, Hemamali Samaratunga3, Athanase Billis4, Liang Cheng5, David Clouston6, Andrew Evans7, Bungo Furusato8, James Kench9, Katia Leite10, Gregory MacLennan11, Holger Moch12, Chin-Chen Pan13, Nathalie Rioux-Leclercq14, Jae Ro15, Jonathan Shanks16, Steven Shen15, Toyonori Tsuzuki17, Murali Varma18, Thomas Wheeler19, John Yaxley20, Lars Egevad21.   

Abstract

The Gleason Grading system has been used for over 50 years to prognosticate and guide the treatment for patients with prostate cancer. At consensus conferences in 2005 and 2014 under the guidance of the International Society of Urological Pathology (ISUP), the system has undergone major modifications to reflect modern diagnostic and therapeutic practices. The 2014 consensus conference yielded recommendations regarding cribriform, mucinous, glomeruloid and intraductal patterns, the most significant of which was the removal of any cribriform pattern from Gleason grade 3. Furthermore, a Gleason score grouping system was endorsed which consisted of five grades where Gleason score 6 (3+3) was classified as grade 1 which better reflected the mostly indolent behaviour of these tumours. Another issue discussed at the meeting and subsequently endorsed was that in Gleason score 7 cases, the percentage pattern 4 should be recorded. This is especially important in situations where modern active surveillance protocols expand to include men with low volume pattern 4. While major progress was made at the conference, several issues were either not resolved or not discussed at all. Most of these items relate to details of assignment of Gleason score and ISUP grade in specific specimen types and grading scenarios. This detailed review looks at the 2014 ISUP conference results and subsequent literature from an international perspective and proposes several recommendations. The specific issues addressed are percentage pattern 4 in Gleason score 7 tumours, percentage patterns 4 and 5 or 4/5 in Gleason score 8-10 disease, minor (≤5%) high grade patterns when either 2 or 3 patterns are present, level of reporting (core, specimen, case), dealing with grade diversity among site (highest and composite scores) and reporting scores in radical prostatectomy specimens with multifocal disease. It is recognised that for many of these issues, a strong evidence base does not exist, and further research studies are required. The proposed recommendations mostly reflect consolidated expert opinion and they are classified as established if there was prior agreement by consensus and provisional if there was no previous agreement or if the item was not discussed at prior consensus conferences. For some items there are reporting options that reflect the local requirements and diverse practice models of the international urological pathology community. The proposed recommendations provide a framework for discussion at future consensus meetings.
Copyright © 2019 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gleason; ISUP grade; International Society of Urological Pathology; Prostate adenocarcinoma; grading

Mesh:

Year:  2019        PMID: 31279442     DOI: 10.1016/j.pathol.2019.05.001

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  12 in total

1.  Development and Validation of Nomograms to Predict Cancer-Specific Survival and Overall Survival in Elderly Patients With Prostate Cancer: A Population-Based Study.

Authors:  Zhaoxia Zhang; Chenghao Zhanghuang; Jinkui Wang; Xiaomao Tian; Xin Wu; Maoxian Li; Tao Mi; Jiayan Liu; Liming Jin; Mujie Li; Dawei He
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

2.  Genome-wide identification and analysis of prognostic features in human cancers.

Authors:  Joan C Smith; Jason M Sheltzer
Journal:  Cell Rep       Date:  2022-03-29       Impact factor: 9.995

3.  Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients.

Authors:  Jethro C C Kwong; Adree Khondker; Christopher Tran; Emily Evans; Adrian I Cozma; Ashkan Javidan; Amna Ali; Munir Jamal; Thomas Short; Frank Papanikolaou; John R Srigley; Benjamin Fine; Andrew Feifer
Journal:  Can Urol Assoc J       Date:  2022-06       Impact factor: 2.052

4.  Longitudinal evaluation of apparent diffusion coefficient values as a predictor of Prostate Cancer Research International Active Surveillance reclassification.

Authors:  Eri Ota; Naoko Mori; Shinichi Yamashita; Shunji Mugikura; Akihiro Ito; Kei Takase
Journal:  Abdom Radiol (NY)       Date:  2021-12-09

Review 5.  Optimizing the diagnosis and management of ductal prostate cancer.

Authors:  Weranja Ranasinghe; Daniel D Shapiro; Miao Zhang; Tharakeswara Bathala; Nora Navone; Timothy C Thompson; Bradley Broom; Ana Aparicio; Shi-Ming Tu; Chad Tang; John W Davis; Louis Pisters; Brian F Chapin
Journal:  Nat Rev Urol       Date:  2021-04-06       Impact factor: 14.432

6.  Agreement of two pre-trained deep-learning neural networks built with transfer learning with six pathologists on 6000 patches of prostate cancer from Gleason2019 Challenge.

Authors:  Mircea Sebastian Şerbănescu; Carmen Nicoleta Oancea; Costin Teodor Streba; Iancu Emil Pleşea; Daniel Pirici; Liliana Streba; Răzvan Mihail Pleşea
Journal:  Rom J Morphol Embryol       Date:  2020 Apr-Jun       Impact factor: 1.033

7.  High-grade tumours promote growth of other less-malignant tumours in the same prostate.

Authors:  Sofia Halin Bergström; Stina Rudolfsson; Marie Lundholm; Andreas Josefsson; Pernilla Wikström; Anders Bergh
Journal:  J Pathol       Date:  2021-01-26       Impact factor: 7.996

8.  The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma.

Authors:  Geert J L H van Leenders; Theodorus H van der Kwast; David J Grignon; Andrew J Evans; Glen Kristiansen; Charlotte F Kweldam; Geert Litjens; Jesse K McKenney; Jonathan Melamed; Nicholas Mottet; Gladell P Paner; Hemamali Samaratunga; Ivo G Schoots; Jeffry P Simko; Toyonori Tsuzuki; Murali Varma; Anne Y Warren; Thomas M Wheeler; Sean R Williamson; Kenneth A Iczkowski
Journal:  Am J Surg Pathol       Date:  2020-08       Impact factor: 6.298

9.  The Utility of Combined Target and Systematic Prostate Biopsies in the Diagnosis of Clinically Significant Prostate Cancer Using Prostate Imaging Reporting and Data System Version 2 Based on Biparametric Magnetic Resonance Imaging.

Authors:  Daiki Kato; Kaori Ozawa; Shinichi Takeuchi; Makoto Kawase; Kota Kawase; Chie Nakai; Manabu Takai; Koji Iinuma; Keita Nakane; Hiroki Kato; Masayuki Matsuo; Natsuko Suzui; Tatsuhiko Miyazaki; Takuya Koie
Journal:  Curr Oncol       Date:  2021-03-22       Impact factor: 3.677

10.  Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues.

Authors:  Simon Sugár; Gábor Tóth; Fanni Bugyi; Károly Vékey; Katalin Karászi; László Drahos; Lilla Turiák
Journal:  Sci Rep       Date:  2021-08-05       Impact factor: 4.379

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