Grading of Prostatic Adenocarcinoma: Current State and Prognostic Implications Jennifer Gordetsky1,2 and Jonathan Epstein3,4*
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Gleason Grading and Prognostic Factors in Carcinoma of the Prostate
Modern Pathology (2004) 17, 292–306 & 2004 USCAP, Inc All rights reserved 0893-3952/04 $25.00 www.modernpathology.org Gleason grading and prognostic factors in carcinoma of the prostate Peter A Humphrey Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA Gleason grade of adenocarcinoma of the prostate is an established prognostic indicator that has stood the test of time. The Gleason grading method was devised in the 1960s and 1970s by Dr Donald F Gleason and members of the Veterans Administration Cooperative Urological Research Group. This grading system is based entirely on the histologic pattern of arrangement of carcinoma cells in H&E-stained sections. Five basic grade patterns are used to generate a histologic score, which can range from 2 to 10. These patterns are illustrated in a standard drawing that can be employed as a guide for recognition of the specific Gleason grades. Increasing Gleason grade is directly related to a number of histopathologic end points, including tumor size, margin status, and pathologic stage. Indeed, models have been developed that allow for pretreatment prediction of pathologic stage based upon needle biopsy Gleason grade, total serum prostate-specific antigen level, and clinical stage. Gleason grade has been linked to a number of clinical end points, including clinical stage, progression to metastatic disease, and survival. Gleason grade is often incorporated into nomograms used to predict response to a specific therapy, such as radiotherapy or surgery. Needle biopsy Gleason grade is routinely used to plan patient management and is also often one of the criteria for eligibility for clinical trials testing new therapies. -
Automated Gleason Scoring and Tumor Quantification in Prostate
cancers Article Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment 1,2, 3, 1,4, 5 5 Han Suk Ryu y, Min-Sun Jin y , Jeong Hwan Park y, Sanghun Lee , Joonyoung Cho , Sangjun Oh 5, Tae-Yeong Kwak 5 , Junwoo Isaac Woo 5, Yechan Mun 5, Sun Woo Kim 5, Soohyun Hwang 6, Su-Jin Shin 7 and Hyeyoon Chang 5,* 1 Department of Pathology, Seoul National University College of Medicine, Seoul 03080, Korea; [email protected] (H.S.R.); [email protected] (J.H.P.) 2 Department of Pathology, Seoul National University Hospital, Seoul 03080, Korea 3 Department of Pathology, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Gyeonggi-do 14647, Korea; [email protected] 4 Department of Pathology, SMG-SNU Boramae Medical Center, Seoul 07061, Korea 5 Deep Bio Inc., 1201 HanWha BizMetro, 242, Digital-ro, Guro-gu, Seoul 08394, Korea; [email protected] (S.L.); [email protected] (J.C.); [email protected] (S.O.); [email protected] (T.-Y.K.); [email protected] (J.I.W.); [email protected] (Y.M.); [email protected] (S.W.K.) 6 Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; [email protected] 7 Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-70-7703-4746; Fax: +82-2-2621-2223 These authors contributed equally to this paper. -
Grading Evolution and Contemporary Prognostic Biomarkers of Clinically Significant Prostate Cancer
cancers Review Grading Evolution and Contemporary Prognostic Biomarkers of Clinically Significant Prostate Cancer Konrad Sopyllo 1, Andrew M. Erickson 2 and Tuomas Mirtti 1,3,* 1 Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; konrad.sopyllo@helsinki.fi 2 Nuffield Department of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK; [email protected] 3 Department of Pathology, HUS Diagnostic Centre, Helsinki University Hospital, 00029 Helsinki, Finland * Correspondence: tuomas.mirtti@helsinki.fi Simple Summary: Prostate cancer treatment decisions are based on clinical stage and histological diagnosis, including Gleason grading assessed by a pathologist, in biopsies. Prior to staging and grading, serum or blood prostate-specific antigen (PSA) levels are measured and often trigger diagnostic examinations. However, PSA is best suited as a marker of cancer relapse after initial treatment. In this review, we first narratively describe the evolution of histological grading, the current status of Gleason pattern-based diagnostics and glance into future methodology of risk assessment by histological examination. In the second part, we systematically review the biomarkers that have been shown, independent from clinical characteristics, to correlate with clinically relevant end-points, i.e., occurrence of metastases, disease-specific mortality and overall survival after initial treatment of localized prostate cancer. Abstract: Gleason grading remains the strongest prognostic parameter in localized prostate ade- nocarcinoma. We have here outlined the evolution and contemporary practices in pathological evaluation of prostate tissue samples for Gleason score and Grade group. The state of more observer- Citation: Sopyllo, K.; Erickson, A.M.; Mirtti, T. Grading Evolution and independent grading methods with the aid of artificial intelligence is also reviewed. -
Metastatic Potential Prediction by a Visual Grading System of Cell Motility: Prospective Validation in the Dunning R-3327 Prostatic Adenocarcinoma Model1
(CANCER RESEARCH 48. 4312-4317, August 1, 1988] Metastatic Potential Prediction by a Visual Grading System of Cell Motility: Prospective Validation in the Dunning R-3327 Prostatic Adenocarcinoma Model1 James L. Mohler,2 Alan W. Partin,3 John T. Isaacs, and Donald S. Coffey Department of Urology, The Johns Hopkins University School of Medicine and The Johns Hopkins Oncology Center, Baltimore, Maryland 21205 ABSTRACT At present many grading systems are used to assess the metastatic potential of prostatic carcinoma. Whether these A method for accurate prediction of prognosis in individual patients grading systems describe architectural (3), cytological (4), or with prostatic carcinoma does not exist. The limitations of pathological some combination of both features (5-8), they share the short grading systems may result from the failure of standard pathological examination of fixed dead tissue to accurately assess the biological and coming of relying upon the examination of dead tissue to predict metastatic behavior of live tumor cells. Many of the sublines of the the biological behavior of a living dynamic tumor system. At Dunning R-3327 rat prostatic adenocarcinoma are histologically similar present no grading system has utilized living cancer cells that yet differ in metastatic potential. Cells from the Dunning model were may possess biological properties that are related to the aggres grown in culture and filmed by time-lapse videomicroscopy. These cells siveness of neoplasms. Cancer cell motility is an obvious ex exhibited characteristic membrane ruffling, pseudopodal extension, and ample of a property that would be lost with fixation but may cellular translation that could be graded with 80% reproducibility. -
Histologic Carcinoma of the Prostate in Autopsies: Frequency, Origin, Extension, Grading and Terminology Athanase Billis, Carlos A.F
Clinical Urology Brazilian Journal of Urology Vol. 28 (3): 197-206, May - June, 2002 Official Journal of the Brazilian Society of Urology HISTOLOGIC CARCINOMA OF THE PROSTATE IN AUTOPSIES: FREQUENCY, ORIGIN, EXTENSION, GRADING AND TERMINOLOGY ATHANASE BILLIS, CARLOS A.F. SOUZA, HELENICE PIOVESAN Department of Anatomic Pathology, School of Medicine, State University of Campinas (UNICAMP), Campinas, SP, and Pathology Division, School of Medicine, São Francisco University (USF), Bragança Paulista, SP, Brazil ABSTRACT Objective: To study the prostate carcinoma incidentally found in autopsies. Material and Methods: The prostates from 150 autopsied men over 40 years of age were dissected in transitional and peripheral zones. The microscopic examination included presence or absence of adenocarcinoma, neoplastic extension, evaluated by the number of fragments, and histologic grading, according to the Gleason system. Results: The frequency was 36.66%, being significantly higher in older patients with no predilection to color. From a total of 55 carcinomas, 56.36% were found in both transitional and peripheral zones, 25.45% only in transitional zone and 18.18% only in peripheral zone. All neoplasias found only in the transitional zone or only in the peripheral zone were not extense and had low grade. When found in both zones, the carcinoma was not very extense and had low grade in the transitional zone, but it was extense and with high grade in the peripheral zone. In 14.54%, 80% and 5.45% of the carcinomas, the Gleason score was 2 - 4, 5 - 6 and 7, respectively. Gleason score 2 - 4 was significantly more frequent in younger patients and score 7 in older patients. -
Breast Cancer Grading Poster
Breast Cancer Grading Nottingham Criteria Accurate grading of invasive breast cancer requires good fixation, processing, section cutting, staining and careful application of grading criteria. In the UK, about 20% of symptomatic breast cancers are grade 1, 30% grade 2, and 50% grade 3. These proportions may be different in asymptomatic cancers detected by mammographic screening. Special type cancers (lobular, etc) should also be graded. Three separate scores are given: ThisGland (acinus) formation Score 1: more than 75% of the whole carcinoma forms acini Only score clearly formed glandular lumens surrounded Score 2: 10–75% of the whole carcinoma forms acini by polarised cancer cells Score 3: less than 10% of the whole carcinoma forms acini Nuclearpublication atypia/pleomorphism Only about 5% of symptomatic cancers score 1 for nuclear atypia; about 50% score 3. Score 1: nuclei only slightly larger than benign breast epithelium (< 1.5 × normal area); minor variation in size, shape and chromatin pattern Score 2: nuclei distinctly enlarged (1.5–2 × normal area), often vesicular, nucleoli visible; may be distinctly variable in size and shape but not always Score 3: markedly enlarged vesicular nuclei (> 2 × normal area), nucleoli often prominent; generally marked variation in size and shape but atypia not necessarily extreme was archived Nuclei of 20 consecutive breast cancers by increasing mean nuclear area (left to right, top to bottom). Paired non-neoplastic breast epithelium is shown above each case for comparison. Only one cancer (top left) has nuclei which score 1. The others in the top row score 2. All 10 in the bottom row score 3. -
Lung Cancer: Clinical Presentation, Epidemiology, 1 Tumor Staging, Classification, Histologic Grading, and Spread Through Air Spaces
LUNG CANCER: CLINICAL PRESENTATION, EPIDEMIOLOGY, 1 TUMOR STAGING, CLASSIFICATION, HISTOLOGIC GRADING, AND SPREAD THROUGH AIR SPACES CLINICAL PRESENTATION vena cava, or metastasis to distant sites such as Lung cancer presents in different ways, the bone or brain (Table 1-1). largely depending on the location and size of Although the presentation of primary lung the tumor and whether it remains localized to cancer varies with the location and size of the the lung or is metastatic (Table 1-1). One third tumor mass, its extent of spread, and its cell of lung cancer patients present with early stage type, there are many features of lung cancers disease and the rest with advanced disease. Pa- that overlap. Five to 20 percent of patients are tients with early stage tumors may have mini- asymptomatic at the time of diagnosis. These mal or no symptoms; lung cancer screening has patients usually have a chest radiographic im- led to the increased detection of such cancers, aging procedure that reveals a small lung mass resulting in a greater than 20 percent reduction which gets sampled for pathology. However, in mortality (1). Patients with advanced disease over 80 percent of new lung cancer patients can present with symptoms related to invasion have one or more symptoms referable to their or compression of major structures, such as the disease at the time of initial diagnosis, many of Table 1-1 LUNG CANCER PRESENTING SYMPTOMSa Category Symptom Pathogenesis Primary tumor Cough Airway obstruction, atelectasis, infection, airway infammation Hemoptysis -
Coding Guidelines PROSTATE GLAND C619 Grade Note
SEER Program Coding and Staging Manual 2012 Coding Guidelines PROSTATE GLAND C619 Grade Note: These guidelines pertain to the data item Grade. Refer to the Collaborative Stage Data Collection Manual for instructions on coding site-specific factors for prostate cases. Priority Rules for Grading Prostate Cancer Code the tumor grade using the following priority order 1. Gleason score (Use the table to convert Gleason score to the appropriate code) 2. Terminology Differentiation (well differentiated, moderately differentiated, etc) 3. Histologic grade Grade i, grade ii, grade iii, grade iv 4. Nuclear grade only Gleason Pattern Prostate cancers are commonly graded using Gleason score or pattern. Gleason grading is based on a 5- component system, based on 5 histologic patterns. The pathologist will evaluate the primary pattern (most predominant) and secondary patterns (second most predominant) for the tumor. Example: A Gleason pattern of 2 + 4 means that the primary pattern is 2 and the secondary pattern is 4. Gleason Score The primary and secondary patterns are added together to create a score. Primary pattern is doubled when there is no secondary pattern. Tertiary pattern is not used to determine Gleason score. Example: If the patterns are 2 + 4, the score is 6. If the pathology report contains only one number, and that number is less than or equal to 5, it is a pattern. If the pathology report contains only one number, and that number is greater than 5, it is a score. If the pathology report specifies a specific number out of a total of 10, the first number given is the score. -
Gleason Scoring System: Nuances in Interpretation
Gleason Scoring System: Nuances in Interpretation Jasreman Dhillon, MD Assistant Member Anatomic Pathology, GU Moffitt Cancer Center Gleason Grading System • Created by Donald F. Gleason in 1966 • Based solely on the architectural pattern of the tumor • Tumors are assigned a Gleason score based on sum of the two most common grade patterns • Certain aspects of the original Gleason system are interpreted differently in today’s practice • Remarkable that more than 40 years after it’s inception, it remains one of the most powerful prognostic predictors in prostate cancer • Multiple molecular marker studies in serum and tissue have largely failed to improve upon the prognostic power of this system. Gleason Score 1977 2005 Consensus Conference on Gleason Grading of Prostatic Carcinoma • International Society of Urological Pathology (ISUP) in 2005 – Incorporate changes in the reporting of Gleason score in pathology reports that reflect the changing clinical practices – Obtain consensus on how to grade newly described variants of prostatic ca e.g. mucinous carcinoma, ductal carcinoma, foamy gland carcinoma – Pathologists: • Achieve consensus on Gleason grading • Help pathologists adapt the Gleason grading system to current day practice in a more uniform manner Variations in Reporting • Do all pathologists follow ISUP 2005 recommendations • How different pathologists interpret ISUP 2005 recommendations • ISUP 2005 Committee could not come to consensus in certain areas of reporting Interpretation of 2005 ISUP Recommendations by Pathologists • European -
May/June 2012 Topics
Monthly Journal of Updates and Information MAY/JUNE 2012 WHAT’S NEW: The following information is currently available on the FCDS website. REGISTRATION ONLINE: https://fcds.med.miami.edu/scripts/ FLORIDA ANNUAL CANCER register.pl REPORT: INCIDENCE AND MORTALITY - 2007 You may visit the hotel reservation link FCDS/NAACCR EDITs available on the FCDS registration page Metafile - 12.1B Metafile, (click or copy and paste link listed) or posted 02/06/2012 8:15am, 12.1B Metafile changes, call 1-800-360-4016 and reference the minor changes to Reason The 2012 Florida Cancer Data System group code "FCDS" to get the group rate No Radiation edits. Annual Conference is being held July 26th of $139.00. FCDS/NAACCR th -27 , 2012 at the TradeWinds Island Re- WEBINAR SERIES: sorts in St Pete Beach. The FCRA Annual **Deadline for group rate NAACCR 2011-2012 conference is at the same hotel and pre- reservations is 7/9/2012.** CANCER REGISTRY cedes the FCDS conference. AND SURVEILLANCE WEBINAR SERIES - ICD-10-CM AND CANCER Hotel requires a one-night deposit at SURVEILLANCE, 07/12/2012, TOPICS: reservation time. 48 hours notice for BEING HELD AT 7 NPCR CER & AHRQ Projects cancellation to return your deposit. FLORIDA FACILITIES AND requires registration. Quality Control - Reviews & Exercises For more information contact: Web-based Education & User Bleu Thompson Controlled Facility Profiles Florida Cancer Data System Tumor Consolidation PO Box 016960 (D4-11) Cancer Patient Portal Miami, Florida 33101 [email protected] Unified Case Finding Follow Back 305-243-2635 305-243-4871 (Fax) *Slides/Handouts will be available for printing prior to conference as nothing The Florida Cancer Data System will be distributed at the meeting.* (FCDS) is Florida's statewide, popu- lation-based cancer registry and has been collecting incidence data since 1981. -
Automated Gleason Grading of Prostate Biopsies Using Deep Learning
Automated Gleason Grading of Prostate Biopsies using Deep Learning Wouter Bulten1,*, Hans Pinckaers1, Hester van Boven2, Robert Vink3, Thomas de Bel1, Bram van Ginneken4, Jeroen van der Laak1, Christina Hulsbergen-van de Kaa3, and Geert Litjens1 1Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pathology, Nijmegen, The Netherlands 2The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital (NKI-AVL), Department of Pathology, Amsterdam, The Netherlands 3Laboratory of Pathology East Netherlands (LabPON), Hengelo, The Netherlands 4Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Radiology & Nuclear Medicine, Nijmegen, The Netherlands *[email protected] ABSTRACT The Gleason score is the most important prognostic marker for prostate cancer patients but suffers from significant inter- observer variability. We developed a fully automated deep learning system to grade prostate biopsies. The system was developed using 5834 biopsies from 1243 patients. A semi-automatic labeling technique was used to circumvent the need for full manual annotation by pathologists. The developed system achieved a high agreement with the reference standard. In a separate observer experiment, the deep learning system outperformed 10 out of 15 pathologists. The system has the potential to improve prostate cancer prognostics by acting as a first or second reader. Introduction With 1.2 million new prostate cancer cases each year1, a high incidence-to-mortality ratio, and risk of overdiagnosis and overtreatment2,3 , there is a strong need for accurate assessment of patient prognosis. Currently, the Gleason score4, assigned by a pathologist after microscopic examination of cancer morphology, is the most powerful prognostic marker for prostate cancer (PCa) patients. -
(NCCN) Breast Cancer Clinical Practice Guidelines
NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) Breast Cancer Version 5.2020 — July 15, 2020 NCCN.org NCCN Guidelines for Patients® available at www.nccn.org/patients Continue Version 5.2020, 07/15/20 © 2020 National Comprehensive Cancer Network® (NCCN®), All rights reserved. NCCN Guidelines® and this illustration may not be reproduced in any form without the express written permission of NCCN. NCCN Guidelines Index NCCN Guidelines Version 5.2020 Table of Contents Breast Cancer Discussion *William J. Gradishar, MD/Chair ‡ † Sharon H. Giordano, MD, MPH † Sameer A. Patel, MD Ÿ Robert H. Lurie Comprehensive Cancer The University of Texas Fox Chase Cancer Center Center of Northwestern University MD Anderson Cancer Center Lori J. Pierce, MD § *Benjamin O. Anderson, MD/Vice-Chair ¶ Matthew P. Goetz, MD ‡ † University of Michigan Fred Hutchinson Cancer Research Mayo Clinic Cancer Center Rogel Cancer Center Center/Seattle Cancer Care Alliance Lori J. Goldstein, MD † Hope S. Rugo, MD † Jame Abraham, MD ‡ † Fox Chase Cancer Center UCSF Helen Diller Family Case Comprehensive Cancer Center/ Comprehensive Cancer Center Steven J. Isakoff, MD, PhD † University Hospitals Seidman Cancer Center Massachusetts General Hospital Amy Sitapati, MD Þ and Cleveland Clinic Taussig Cancer Institute Cancer Center UC San Diego Moores Cancer Center Rebecca Aft, MD, PhD ¶ Jairam Krishnamurthy, MD † Karen Lisa Smith, MD, MPH † Siteman Cancer Center at Barnes- Fred & Pamela Buffet Cancer Center The Sidney Kimmel Comprehensive Jewish Hospital and Washington Cancer Center at Johns Hopkins University School of Medicine Janice Lyons, MD § Case Comprehensive Cancer Center/ Mary Lou Smith, JD, MBA ¥ Doreen Agnese, MD ¶ University Hospitals Seidman Cancer Center Research Advocacy Network The Ohio State University Comprehensive and Cleveland Clinic Taussig Cancer Institute Cancer Center - James Cancer Hospital Hatem Soliman, MD † and Solove Research Institute P.