Literature DB >> 22998919

Do Gleason patterns 3 and 4 prostate cancer represent separate disease states?

Hugh J Lavery1, Michael J Droller.   

Abstract

PURPOSE: The Gleason scoring system has been the traditional basis for studies on the assessment and treatment of prostate cancer. Recent reports of long-term prostate cancer outcomes stratified by Gleason score based on the 2005 ISUP (International Society of Urological Pathology) update suggest that important aspects of the biology of prostate cancer correlate with commonly available histopathological information. In this review we present a conceptual framework for the possible existence of distinct but interrelated developmental pathways in the context of the Gleason score in considering various biological and clinical aspects of prostate cancer. This may be useful in characterizing prostate cancer as an indolent condition in some and an aggressive disease in others, in decision making for treatment, and in the interpretation of the biological course and treatment outcomes.
MATERIALS AND METHODS: A comprehensive review of clinical, pathological and investigational biological literature on this topic was conducted. In addition, the biological behavior of prostate cancer as interpreted from this survey was compared to that of other solid neoplasms in developing a schema for characterizing the pathogenesis of various forms of the disease.
RESULTS: The Gleason scoring system has been found to have fundamental value in predicting the behavior of prostate cancer and assessing outcomes of its treatment. Increasingly, the proportion of Gleason pattern 4 in a prostatectomy specimen is being recognized as a critical factor in predicting the rates of biochemical recurrence and prostate cancer specific mortality. Under the current Gleason classification, a Gleason 3 + 3 = 6 cancer carries a minimal long-term risk of progression or mortality. Risk of biochemical recurrence and prostate cancer specific mortality increases with increasing proportions of the Gleason 4 component in the prostatectomy specimen, from 3 + 3 = 6 with tertiary 4 (ie less than 5% of a 4 component) to 3 + 4 = 7, 4 + 3 = 7 and 4 + 4 = 8. Assuming that the Gleason 4 component increases in volume more rapidly with time than well differentiated components, it can be inferred that a smaller proportion of Gleason 4 could mean that the cancer has been identified at an earlier phase in the natural history of the disease. This could explain the improved prognosis on the basis of length and lead time biases, and conceivably on the basis of a decreased likelihood of cancer cells having metastasized. Correspondingly, increasing amounts of Gleason 4 cancer in a prostate specimen might be explained in 2 ways, as the preferential growth of a single clone of Gleason 4 cells, possibly with intraprostatic spread, or the evolution of Gleason 3 cancer cells to become Gleason 4. These hypotheses have been examined by genetic analysis of metastatic deposits and by comparisons of multiple foci of cancer within individual prostates. The clinical significance of these concepts in regard to disease status at diagnosis, treatment selection, outcomes of treatment, and implications for future research on the basis of clinical and molecular observations are the basis of the developmental schemata we propose.
CONCLUSIONS: Given the relatively benign nature of homogeneous, low volume Gleason 3 tumors, and the progressive risk of biochemical recurrence and prostate cancer specific mortality with increasing quantities of Gleason 4 components, we propose that Gleason 4 (and 5) cancers constitute cancer diatheses distinct from that of Gleason 3 cancer. This distinction may contribute to the understanding of the prognosis intrinsic to these biological behavioral patterns, and help guide the translation of findings at molecular and histological levels to a more precise selection of treatments.
Copyright © 2012 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22998919     DOI: 10.1016/j.juro.2012.07.055

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  28 in total

1.  Multiparametric MRI of the prostate at 3 T: limited value of 3D (1)H-MR spectroscopy as a fourth parameter.

Authors:  Stephan H Polanec; Katja Pinker-Domenig; Peter Brader; Dietmar Georg; Shahrokh Shariat; Claudio Spick; Martin Susani; Thomas H Helbich; Pascal A Baltzer
Journal:  World J Urol       Date:  2015-09-25       Impact factor: 4.226

2.  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

3.  The effect of Rapid Access Prostate Clinics on the outcomes of Gleason 7 prostate cancer: does earlier diagnosis lead to better outcomes?

Authors:  M P Broe; J C Forde; M S Inder; D J Galvin; D W Mulvin; D M Quinlan
Journal:  Ir J Med Sci       Date:  2017-03-09       Impact factor: 1.568

4.  Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy.

Authors:  Andrew B Rosenkrantz; Michael J Triolo; Jonathan Melamed; Henry Rusinek; Samir S Taneja; Fang-Ming Deng
Journal:  J Magn Reson Imaging       Date:  2014-02-25       Impact factor: 4.813

Review 5.  Does true Gleason pattern 3 merit its cancer descriptor?

Authors:  Saiful Miah; Hashim U Ahmed; Alex Freeman; Mark Emberton
Journal:  Nat Rev Urol       Date:  2016-08-17       Impact factor: 14.432

6.  Global transcriptome analysis of formalin-fixed prostate cancer specimens identifies biomarkers of disease recurrence.

Authors:  Qi Long; Jianpeng Xu; Adeboye O Osunkoya; Soma Sannigrahi; Brent A Johnson; Wei Zhou; Theresa Gillespie; Jong Y Park; Robert K Nam; Linda Sugar; Aleksandra Stanimirovic; Arun K Seth; John A Petros; Carlos S Moreno
Journal:  Cancer Res       Date:  2014-04-08       Impact factor: 12.701

7.  Molecular Profiling to Determine Clonality of Serial Magnetic Resonance Imaging/Ultrasound Fusion Biopsies from Men on Active Surveillance for Low-Risk Prostate Cancer.

Authors:  Ganesh S Palapattu; Simpa S Salami; Andi K Cani; Daniel H Hovelson; Lorena Lazo de la Vega; Kelly R Vandenberg; Jarred V Bratley; Chia-Jen Liu; Lakshmi P Kunju; Jeffery S Montgomery; Todd M Morgan; Shyam Natarajan; Jiaoti Huang; Scott A Tomlins; Leonard S Marks
Journal:  Clin Cancer Res       Date:  2016-10-07       Impact factor: 12.531

8.  Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.

Authors:  Duc Fehr; Harini Veeraraghavan; Andreas Wibmer; Tatsuo Gondo; Kazuhiro Matsumoto; Herbert Alberto Vargas; Evis Sala; Hedvig Hricak; Joseph O Deasy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

9.  Prostate cancer risk profiles of Asian-American men: disentangling the effects of immigration status and race/ethnicity.

Authors:  Daphne Y Lichtensztajn; Scarlett Lin Gomez; Weiva Sieh; Benjamin I Chung; Iona Cheng; James D Brooks
Journal:  J Urol       Date:  2013-10-25       Impact factor: 7.450

10.  The Significance of Accurate Determination of Gleason Score for Therapeutic Options and Prognosis of Prostate Cancer.

Authors:  Burkhard Helpap; Daniel Ringli; Jens Tonhauser; Immanuel Poser; Jürgen Breul; Heidrun Gevensleben; Hans-Helge Seifert
Journal:  Pathol Oncol Res       Date:  2015-11-12       Impact factor: 3.201

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