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Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, Reis-Filho JS, Ly A, Harms PW, Gupta RR, Vieth M, Hida AI, Kahila M, Kos Z, van Diest PJ, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Adams S, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Burgues O, Chardas A, Cheang MCU, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dantas Portela FL, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Fernandez-Martín C, Fineberg S, Fox SB, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hewitt S, Horlings HM, Husain Z, Irshad S, Janssen EA, Kataoka TR, Kawaguchi K, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Akturk G, Scott E, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Kharidehal D, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rajpoot NM, Rapoport BL, Rau TT, Ribeiro JM, Rimm D, Vincent-Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, Verghese GE, Viale G, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Specht Stovgaard E, Salgado R, Gallagher WM, Rahman A. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. J Pathol 2024; 262:271-288. [PMID: 38230434 DOI: 10.1002/path.6238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/17/2023] [Indexed: 01/18/2024]
Abstract
Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Chowdhury Arif Jahangir
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - David B Page
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Glenn Broeckx
- Department of Pathology PA2, GZA-ZNA Hospitals, Antwerp, Belgium
- Centre for Oncological Research (CORE), MIPPRO, Faculty of Medicine, Antwerp University, Antwerp, Belgium
| | - Claudia A Gonzalez
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Caoimbhe Burke
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Clodagh Murphy
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Ly
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Paul W Harms
- Departments of Pathology and Dermatology, University of Michigan, Ann Arbor, MI, USA
| | - Rajarsi R Gupta
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Mohamed Kahila
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer, Vancouver, British Columbia, Canada
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
- Johns Hopkins Oncology Center, Baltimore, MD, USA
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jeppe Thagaard
- Technical University of Denmark, Kgs. Lyngby, Denmark
- Visiopharm A/S, Hørsholm, Denmark
| | - Reena Khiroya
- Department of Cellular Pathology, University College Hospital, London, UK
| | - Khalid Abduljabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | | | - Balazs Acs
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Sylvia Adams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, Manhattan, NY, USA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | | | | | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Emory University Winship Cancer Institute, Atlanta, GA, USA
| | | | - Enrique R Bellolio
- Departamento de Anatomía Patológica, Facultad de Medicina, Universidad de La Frontera, Temuco, Chile
| | | | - Kim Rm Blenman
- Department of Internal Medicine Section of Medical Oncology and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Computer Science, Yale School of Engineering and Applied Science, New Haven, CT, USA
| | | | - Octavio Burgues
- Pathology Department, Hospital Cliníco Universitario de Valencia/Incliva, Valencia, Spain
| | - Alexandros Chardas
- Department of Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Maggie Chon U Cheang
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Francesco Ciompi
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lee Ad Cooper
- Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Leuven, Belgium
| | - Germán Corredor
- Biomedical Engineering Department, Emory University, Atlanta, GA, USA
| | | | - Frederik Deman
- Department of Pathology PA2, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Sandra Demaria
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Department of Pathology, Weill Cornell Medicine, New York, NY, USA
| | - Sarah N Dudgeon
- Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Mahmoud Elghazawy
- University of Surrey, Guildford, UK
- Ain Shams University, Cairo, Egypt
| | - Claudio Fernandez-Martín
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech, Universitat Politècnica de València, Valencia, Spain
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, New York, NY, USA
| | - Stephen B Fox
- Pathology, Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | | | - Sacha Gnjatic
- Department of Oncological Sciences, Medicine Hem/Onc, and Pathology, Tisch Cancer Institute - Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, London, UK
- The Breast Cancer Now Research Unit, Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Niels Halama
- Department of Translational Immunotherapy, German Cancer Research Center, Heidelberg, Germany
| | | | | | - Steven N Hart
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Johan Hartman
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugo M Horlings
- Division of Pathology, Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands
| | | | - Sheeba Irshad
- King's College London & Guys & St Thomas NHS Trust, London, UK
| | - Emiel Am Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | | | - Kosuke Kawaguchi
- Department of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Andrey I Khramtsov
- Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Umay Kiraz
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | - Pawan Kirtani
- Histopathology, Aakash Healthcare Super Speciality Hospital, New Delhi, India
| | - Liudmila L Kodach
- Department of Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Konstanty Korski
- Data, Analytics and Imaging, Product Development, F. Hoffmann-La Roche AG, Basel, Switzerland
| | - Guray Akturk
- Translational Molecular Biomarkers, Merck & Co., Inc., Kenilworth, NJ, USA
| | - Ely Scott
- Translational Medicine, Bristol Myers Squibb, Princeton, NJ, USA
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Surgical Pathology, University of Copenhagen, Copenhagen, Denmark
| | - Corinna Lang-Schwarz
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Denis Larsimont
- Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Jochen K Lennerz
- Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Marvin Lerousseau
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | - Xiaoxian Li
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Anant Madabhushi
- Department of Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics, Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sai K Maley
- NRG Oncology/NSABP Foundation, Pittsburgh, PA, USA
| | | | - Douglas K Marks
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Elizabeth S McDonald
- Breast Cancer Translational Research Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Mehrotra
- Indian Cancer Genomic Atlas, Pune, India
- Centre for Health, Innovation and Policy Foundation, Noida, India
| | - Stefan Michiels
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, Ligue Contre le Cancer labeled Team, Villejuif, France
| | - Durga Kharidehal
- Department of Pathology, Narayana Medical College and Hospital, Nellore, India
| | - Fayyaz Ul Amir Afsar Minhas
- Tissue Image Analytics Centre, Warwick Cancer Research Centre, PathLAKE Consortium, Department of Computer Science, University of Warwick, Coventry, UK
| | - Shachi Mittal
- Department of Chemical Engineering, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCL and Cellular Pathology Department, UCLH, London, UK
| | - Shamim Mushtaq
- Department of Biochemistry, Ziauddin University, Karachi, Pakistan
| | - Hussain Nighat
- Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Clinical Pathology, Drammen Sykehus, Vestre Viken HF, Drammen, Norway
| | - Frederique Penault-Llorca
- Service de Pathologie et Biopathologie, Centre Jean PERRIN, INSERM U1240 Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne, Clermont-Ferrand, France
| | - Rashindrie D Perera
- School of Electrical, Mechanical and Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Christopher J Pinard
- Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
- Department of Oncology, Lakeshore Animal Health Partners, Mississauga, Ontario, Canada
- Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), University of Guelph, Guelph, Ontario, Canada
| | | | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Faculty of Medicine and Surgery, University of Milan, Milan, Italy
| | - Lajos Pusztai
- Yale Cancer Center, Yale University, New Haven, CT, USA
- Department of Medical Oncology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | | | - Bernardo Leon Rapoport
- The Medical Oncology Centre of Rosebank, Johannesburg, South Africa
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Tilman T Rau
- Institute of Pathology, University Hospital Düsseldorf and Heinrich-Heine-University, Düsseldorf, Germany
| | | | - David Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Anne Vincent-Salomon
- Department of Diagnostic and Theranostic Medicine, Institut Curie, University Paris-Sciences et Lettres, Paris, France
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, New York, NY, USA
| | - Shahin Sayed
- Department of Pathology, Aga Khan University, Nairobi, Kenya
| | - Evangelos Hytopoulos
- Department of Pathology, Aga Khan University, Nairobi, Kenya
- iRhythm Technologies Inc., San Francisco, CA, USA
| | - Sarah Mahon
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Kalliopi P Siziopikou
- Department of Pathology, Section of Breast Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Centers for Personalized Medicine (ZPM), Heidelberg, Germany
| | | | - Daniel Sur
- Department of Medical Oncology, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
| | - Fraser Symmans
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jonas Teuwen
- AI for Oncology Lab, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Trine Tramm
- Department of Pathology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - William T Tran
- Department of Radiation Oncology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Jeroen van der Laak
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Gregory E Verghese
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, London, UK
- The Breast Cancer Now Research Unit, Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Giuseppe Viale
- Department of Pathology, European Institute of Oncology & University of Milan, Milan, Italy
| | - Noorul Wahab
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Thomas Walter
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | | | - Hannah Y Wen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wentao Yang
- Fudan Medical University Shanghai Cancer Center, Shanghai, PR China
| | - Yinyin Yuan
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Sibylle Loibl
- Department of Medicine and Research, German Breast Group, Neu-Isenburg, Germany
| | - Carsten Denkert
- Institut für Pathologie, Philipps-Universität Marburg und Universitätsklinikum Marburg, Marburg, Germany
| | - Peter Savas
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Sherene Loi
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Roberto Salgado
- Department of Pathology PA2, GZA-ZNA Hospitals, Antwerp, Belgium
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - William M Gallagher
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Arman Rahman
- UCD School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
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Kos Z, Nielsen TO, Laenkholm AV. Breast Cancer Histopathology in the Age of Molecular Oncology. Cold Spring Harb Perspect Med 2023:a041647. [PMID: 38151327 DOI: 10.1101/cshperspect.a041647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
For more than a century, microscopic histology has been the cornerstone for cancer diagnosis, and breast carcinoma is no exception. In recent years, clinical biomarkers, gene expression profiles, and other molecular tests have shown increasing utility for identifying the key biological features that guide prognosis and treatment of breast cancer. Indeed, the most common histologic pattern-invasive ductal carcinoma of no special type-provides relatively little guidance to management beyond triggering grading, biomarker testing, and clinical staging. However, many less common histologic patterns can be recognized by trained pathologists, which in many cases can be linked to characteristic biomarker and gene expression patterns, underlying mutations, prognosis, and therapy. Herein we describe more than a dozen such histomorphologic subtypes (including lobular, metaplastic, salivary analog, and several good prognosis special types of breast cancer) in the context of their molecular and clinical features.
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Affiliation(s)
- Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- BC Cancer Vancouver Centre, Vancouver, British Columbia V5Z 4E6, Canada
| | - Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Molecular and Advanced Pathology Core, Vancouver, British Columbia V6H 3Z6, Canada
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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3
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Reznitsky FM, Jensen JD, Knoop A, Jensen MB, Laenkholm AV. Evaluation of tumor-infiltrating lymphocytes, PD-L1, and PIK3CA mutations and association with prognosis in HER2-positive early stage breast cancer. Acta Oncol 2023; 62:1913-1920. [PMID: 37961947 DOI: 10.1080/0284186x.2023.2279685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Tumor-infiltrating lymphocytes (TILs) have predictive and prognostic potential in HER2-positive breast cancer (HER2+ BC). Programmed death-ligand 1 (PD-L1) is an immune checkpoint protein, with important roles in the tumor microenvironment, possibly in both tumor and immune cells (ICs), providing rationale for targeting with immune-checkpoint therapy. PIK3CA mutations are oncogenic, activating mutations, which are also of relevance in breast cancer. Herein, we investigate the frequency of TILs, PD-L1 and PIK3CA mutations, and whether these factors influence outcome, in early HER2+ BC. MATERIALS AND METHODS Stromal TILs (sTILs) and PD-L1 expressions were assessed using full tumor-sections and TMA, respectively, from 236 patients with HER2+ BC. TILs were assessed, according to a standardized method, as continuous measurement and according to three predefined categories: low (0-10%), intermediate (11-59%), and high (60-100%). PD-L1 immunohistochemistry (Ventana SP263) was evaluated and positivity defined as ≥1% expression in tumor and ICs. PIK3CA mutations (exons 9 and 20) were determined by pyrosequencing. RESULTS Fourteen percent of patients had high sTILs and 25% had a PIK3CA mutation. PD-L1 expression was more frequent in ICs (68%) than tumor cells (24%). Patients with low sTILs had a significantly worse overall survival (multivariate: HR 2.80; 95% CI 1.36-5.78; p = .02). DISCUSSION Patients with low sTILs had a significantly poorer survival, despite adequate treatment with adjuvant therapy.
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Affiliation(s)
- Frances M Reznitsky
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark
| | | | - Ann Knoop
- Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Maj-Britt Jensen
- Danish Breast Cancer Group, Copenhagen University Hospital, Copenhagen, Denmark
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4
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Weitz P, Valkonen M, Solorzano L, Carr C, Kartasalo K, Boissin C, Koivukoski S, Kuusela A, Rasic D, Feng Y, Sinius Pouplier S, Sharma A, Ledesma Eriksson K, Latonen L, Laenkholm AV, Hartman J, Ruusuvuori P, Rantalainen M. A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics. Sci Data 2023; 10:562. [PMID: 37620357 PMCID: PMC10449765 DOI: 10.1038/s41597-023-02422-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess the status of several established biomarkers, including ER, PGR, HER2 and KI67. Biomarker assessment can also be facilitated by computational pathology image analysis methods, which have made numerous substantial advances recently, often based on publicly available whole slide image (WSI) data sets. However, the field is still considerably limited by the sparsity of public data sets. In particular, there are no large, high quality publicly available data sets with WSIs of matching IHC and H&E-stained tissue sections from the same tumour. Here, we publish the currently largest publicly available data set of WSIs of tissue sections from surgical resection specimens from female primary breast cancer patients with matched WSIs of corresponding H&E and IHC-stained tissue, consisting of 4,212 WSIs from 1,153 patients.
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Affiliation(s)
- Philippe Weitz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Masi Valkonen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Leslie Solorzano
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Circe Carr
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kimmo Kartasalo
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Constance Boissin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sonja Koivukoski
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Aino Kuusela
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Dusan Rasic
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yanbo Feng
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sandra Sinius Pouplier
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Abhinav Sharma
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kajsa Ledesma Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Leena Latonen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Foundation for the Finnish Cancer Institute, Helsinki, Finland
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johan Hartman
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- MedTechLabs, BioClinicum, Karolinska University Hospital, Stockholm, Sweden
| | - Pekka Ruusuvuori
- Institute of Biomedicine, University of Turku, Turku, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mattias Rantalainen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
- MedTechLabs, BioClinicum, Karolinska University Hospital, Stockholm, Sweden.
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5
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Page DB, Broeckx G, Jahangir CA, Verbandt S, Gupta RR, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Cheang MCU, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dantas Portela FL, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Ely S, Fernandez-Martín C, Fineberg S, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hardas A, Hart SN, Hartman J, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis-Filho JS, Ribeiro JM, Rimm D, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Adams S, Bartlett JMS, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Specht Stovgaard E. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. J Pathol 2023; 260:514-532. [PMID: 37608771 DOI: 10.1002/path.6165] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 06/19/2023] [Indexed: 08/24/2023]
Abstract
Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- David B Page
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Glenn Broeckx
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
- Centre for Oncological Research (CORE), MIPPRO, Faculty of Medicine, Antwerp University, Antwerp, Belgium
| | - Chowdhury Arif Jahangir
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Rajarsi R Gupta
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Jeppe Thagaard
- Technical University of Denmark, Kongens Lyngby, Denmark
- Visiopharm A/S, Hørsholm, Denmark
| | - Reena Khiroya
- Department of Cellular Pathology, University College Hospital, London, UK
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, BC Cancer Vancouver Centre, University of British Columbia, Vancouver, BC, Canada
| | - Khalid Abduljabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | | | - Balazs Acs
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Guray Akturk
- Translational Molecular Biomarkers, Merck & Co Inc, Kenilworth, NJ, USA
| | - Jonas S Almeida
- National Cancer Institute, Division of Cancer Epidemiology and Genetics (DCEG), Rockville, MD, USA
| | | | | | - Sunil Badve
- Pathology and Laboratory Medicine, Emory University School of Medicine, Emory University Winship Cancer Institute, Atlanta, GA, USA
| | | | - Enrique R Bellolio
- Departamento de Anatomía Patológica, Facultad de Medicina, Universidad de La Frontera, Temuco, Chile
| | | | - Kim Rm Blenman
- Internal Medicine Section of Medical Oncology and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Computer Science, Yale School of Engineering and Applied Science, New Haven, CT, USA
| | | | - Najat Bouchmaa
- Institute of Biological Sciences, Faculty of Medical Sciences, Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco
| | - Octavio Burgues
- Pathology Department, Hospital Cliníco Universitario de Valencia/Incliva, Valencia, Spain
| | - Maggie Chon U Cheang
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, Institute of Cancer Research, London, UK
| | - Francesco Ciompi
- Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands
| | - Lee Ad Cooper
- Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Leuven, Belgium
| | - Germán Corredor
- Biomedical Engineering Department, Emory University, Atlanta, GA, USA
| | | | - Frederik Deman
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Sandra Demaria
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Department of Pathology, Weill Cornell Medicine, New York, NY, USA
| | - Sarah N Dudgeon
- Conputational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Mahmoud Elghazawy
- University of Surrey, Guildford, UK
- Ain Shams University, Cairo, Egypt
| | - Scott Ely
- Translational Pathology, Translational Sciences and Diagnostics/Translational Medicine/R&D, Bristol Myers Squibb, Princeton, NJ, USA
| | - Claudio Fernandez-Martín
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech, Universitat Politècnica de València, Valencia, Spain
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, New York, NY, USA
| | - Stephen B Fox
- Department of Pathology, Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - William M Gallagher
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | | | - Sacha Gnjatic
- Department of Oncological Sciences, Medicine Hem/Onc, and Pathology, Tisch Cancer Institute - Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Niels Halama
- Translational Immunotherapy, German Cancer Research Center, Heidelberg, Germany
| | | | | | - Alexandros Hardas
- Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Steven N Hart
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Johan Hartman
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Hewitt
- Department of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Hugo M Horlings
- Division of Pathology, Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands
| | | | | | - Sheeba Irshad
- King's College London & Guy's & St Thomas' NHS Trust, London, UK
| | - Emiel Am Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | - Mohamed Kahila
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | | | - Kosuke Kawaguchi
- Department of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Durga Kharidehal
- Department of Pathology, Narayana Medical College, Nellore, India
| | - Andrey I Khramtsov
- Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Umay Kiraz
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | - Pawan Kirtani
- Department of Histopathology, Aakash Healthcare Super Speciality Hospital, New Delhi, India
| | - Liudmila L Kodach
- Department of Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Konstanty Korski
- Data, Analytics and Imaging, Product Development, F.Hoffmann-La Roche AG, Basel, Switzerland
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne-Vibeke Laenkholm
- Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Surgical Pathology, University of Copenhagen, Copenhagen, Denmark
| | - Corinna Lang-Schwarz
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Denis Larsimont
- Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Jochen K Lennerz
- Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Marvin Lerousseau
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM, U900, Paris, France
| | - Xiaoxian Li
- Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Amy Ly
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Anant Madabhushi
- Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics, Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sai K Maley
- NRG Oncology/NSABP Foundation, Pittsburgh, PA, USA
| | | | - Douglas K Marks
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Elizabeth S McDonald
- Breast Cancer Translational Research Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Mehrotra
- Indian Cancer Genome Atlas, Pune, India
- Centre for Health, Innovation and Policy Foundation, Noida, India
| | - Stefan Michiels
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, Ligue Contre le Cancer labeled Team, Villejuif, France
| | - Fayyaz Ul Amir Afsar Minhas
- Tissue Image Analytics Centre, Warwick Cancer Research Centre, PathLAKE Consortium, Department of Computer Science, University of Warwick, Coventry, UK
| | - Shachi Mittal
- Department of Chemical Engineering, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCLH, London, UK
| | - Shamim Mushtaq
- Department of Biochemistry, Ziauddin University, Karachi, Pakistan
| | - Hussain Nighat
- Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Clinical Pathology, Drammen Sykehus, Vestre Viken HF, Drammen, Norway
| | - Frederique Penault-Llorca
- Centre Jean Perrin, INSERM U1240, Imagerie Moléculaire et Stratégies Théranostiques, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Rashindrie D Perera
- School of Electrical, Mechanical and Infrastructure Engineering, University of Melbourne, Melbourne, VIC, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Christopher J Pinard
- Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
- Department of Oncology, Lakeshore Animal Health Partners, Mississauga, ON, Canada
- Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), University of Guelph, Guelph, ON, Canada
| | | | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Faculty of Medicine and Surgery, University of Milan, Milan, Italy
| | - Lajos Pusztai
- Yale Cancer Center, New Haven, CT, USA
- Department of Medical Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Arman Rahman
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | | | - Bernardo Leon Rapoport
- The Medical Oncology Centre of Rosebank, Johannesburg, South Africa
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Tilman T Rau
- Institute of Pathology, University Hospital Düsseldorf and Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jorge S Reis-Filho
- Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joana M Ribeiro
- Département de Médecine Oncologique, Institute Gustave Roussy, Villejuif, France
| | - David Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Anne Vincent-Salomon
- Department of Diagnostic and Theranostic Medicine, Institut Curie, University Paris-Sciences et Lettres, Paris, France
| | - Manuel Salto-Tellez
- Integrated Pathology Unit, Institute of Cancer Research, London, UK
- Precision Medicine Centre, Queen's University Belfast, Belfast, UK
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, New York, NY, USA
| | - Shahin Sayed
- Department of Pathology, Aga Khan University, Nairobi, Kenya
| | - Kalliopi P Siziopikou
- Department of Pathology, Section of Breast Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles, Brussels, Belgium
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Centers for Personalized Medicine (ZPM), Heidelberg, Germany
| | | | - Daniel Sur
- Department of Medical Oncology, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
| | - Fraser Symmans
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jonas Teuwen
- AI for Oncology Lab, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Trine Tramm
- Pathology, and Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - William T Tran
- Department of Radiation Oncology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Jeroen van der Laak
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
- Johns Hopkins Oncology Center, Baltimore, MD, USA
| | - Gregory E Verghese
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Giuseppe Viale
- Department of Pathology, European Institute of Oncology & University of Milan, Milan, Italy
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Noorul Wahab
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Thomas Walter
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM, U900, Paris, France
| | | | - Hannah Y Wen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wentao Yang
- Fudan Medical University Shanghai Cancer Center, Shanghai, PR China
| | - Yinyin Yuan
- Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sylvia Adams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, Manhattan, NY, USA
| | | | - Sibylle Loibl
- Department of Medicine and Research, German Breast Group, Neu-Isenburg, Germany
| | - Carsten Denkert
- Institut für Pathologie, Philipps-Universität Marburg und Universitätsklinikum Marburg, Marburg, Germany
| | - Peter Savas
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Sherene Loi
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Elisabeth Specht Stovgaard
- Department of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
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6
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Curigliano G, Cardoso F, Gnant M, Harbeck N, King J, Laenkholm AV, Penault-Llorca F, Prat A. PROCURE European consensus on breast cancer multigene signatures in early breast cancer management. NPJ Breast Cancer 2023; 9:8. [PMID: 36828834 PMCID: PMC9951144 DOI: 10.1038/s41523-023-00510-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 01/26/2023] [Indexed: 02/26/2023] Open
Abstract
Breast cancer multigene signatures (BCMS) have changed how patients with early-stage breast cancer (eBC) are managed, as they provide prognostic information and can be used to select patients who may avoid adjuvant chemotherapy. Clinical guidelines make recommendations on the use of BCMS; however, little is known on the current use of BCMS in clinical practice. We conduct a two-round Delphi survey to enquire about current use and perceived utility for specific patient profiles, and unmet needs of BCMS. Overall, 133 panellists experienced in breast cancer across 11 European countries have participated, most using BCMS either routinely (66.2%) or in selected cases (27.1%). Our results show that BCMS are mainly used to assess the risk of recurrence and to select patients for adjuvant chemotherapy; notably, no consensus has been reached on the lack of utility of BCMS for selecting the type of chemotherapy to administer. Also, there are discrepancies between the recommended and current use of BCMS in clinical practice, with use in certain patient profiles for which there is no supporting evidence. Our study suggests that physician education initiatives are needed to ensure the correct use and interpretation of BCMS to, ultimately, improve management of patients with eBC.
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Affiliation(s)
- Giuseppe Curigliano
- European Institute of Oncology, IRCCS, Milan, Italy. .,Department of Oncology and Hemato-Oncology, University of Milano, Milan, Italy.
| | - Fatima Cardoso
- grid.421010.60000 0004 0453 9636Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | - Michael Gnant
- grid.22937.3d0000 0000 9259 8492Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Nadia Harbeck
- grid.411095.80000 0004 0477 2585Breast Center, LMU University Hospital, Munich, Germany
| | - Judy King
- grid.437485.90000 0001 0439 3380Royal Free Hospital NHS Foundation Trust, London, UK
| | | | - Frédérique Penault-Llorca
- grid.494717.80000000115480420Centre de Lutte Contre le Cancer Jean Perrin, Imagerie Moléculaire et Stratégies Théranostiques, Université Clermont Auvergne, UMR 1240 INSERM-UCA, Clermont Ferrand, France
| | - Aleix Prat
- grid.10403.360000000091771775Hospital Clínic de Barcelona, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
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7
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Cserni B, Kilmartin D, O’Loughlin M, Andreu X, Bagó-Horváth Z, Bianchi S, Chmielik E, Figueiredo P, Floris G, Foschini MP, Kovács A, Heikkilä P, Kulka J, Laenkholm AV, Liepniece-Karele I, Marchiò C, Provenzano E, Regitnig P, Reiner A, Ryška A, Sapino A, Stovgaard ES, Quinn C, Zolota V, Webber M, Glynn SA, Bori R, Csörgő E, Oláh-Németh O, Pancsa T, Sejben A, Sejben I, Vörös A, Zombori T, Nyári T, Callagy G, Cserni G. ONEST (Observers Needed to Evaluate Subjective Tests) Analysis of Stromal Tumour-Infiltrating Lymphocytes (sTILs) in Breast Cancer and Its Limitations. Cancers (Basel) 2023; 15:cancers15041199. [PMID: 36831541 PMCID: PMC9954449 DOI: 10.3390/cancers15041199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/04/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Tumour-infiltrating lymphocytes (TILs) reflect antitumour immunity. Their evaluation of histopathology specimens is influenced by several factors and is subject to issues of reproducibility. ONEST (Observers Needed to Evaluate Subjective Tests) helps in determining the number of observers that would be sufficient for the reliable estimation of inter-observer agreement of TIL categorisation. This has not been explored previously in relation to TILs. ONEST analyses, using an open-source software developed by the first author, were performed on TIL quantification in breast cancers taken from two previous studies. These were one reproducibility study involving 49 breast cancers, 23 in the first circulation and 14 pathologists in the second circulation, and one study involving 100 cases and 9 pathologists. In addition to the estimates of the number of observers required, other factors influencing the results of ONEST were examined. The analyses reveal that between six and nine observers (range 2-11) are most commonly needed to give a robust estimate of reproducibility. In addition, the number and experience of observers, the distribution of values around or away from the extremes, and outliers in the classification also influence the results. Due to the simplicity and the potentially relevant information it may give, we propose ONEST to be a part of new reproducibility analyses.
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Affiliation(s)
- Bálint Cserni
- TNG Technology Consulting GmbH, Király u. 26., 1061 Budapest, Hungary
| | - Darren Kilmartin
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Mark O’Loughlin
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Xavier Andreu
- Pathology Department, Atryshealth Co., Ltd., 08039 Barcelona, Spain
| | - Zsuzsanna Bagó-Horváth
- Department of Pathology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Simonetta Bianchi
- Division of Pathological Anatomy, Department of Health Sciences, University of Florence, 50134 Florence, Italy
| | - Ewa Chmielik
- Tumor Pathology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland
| | - Paulo Figueiredo
- Laboratório de Anatomia Patológica, IPO Coimbra, 3000-075 Coimbra, Portugal
| | - Giuseppe Floris
- Laboratory of Translational Cell & Tissue Research and KU Leuven, Department of Imaging and Pathology, Department of Pathology, University Hospitals Leuven, University of Leuven, Oude Market 13, 3000 Leuven, Belgium
| | - Maria Pia Foschini
- Unit of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bellaria Hospital, 40139 Bologna, Italy
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Päivi Heikkilä
- Department of Pathology, Helsinki University Central Hospital, 00029 Helsinki, Finland
| | - Janina Kulka
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University Budapest, Üllői út 93, 1091 Budapest, Hungary
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark
| | - Inta Liepniece-Karele
- Department of Pathology, Riga Stradins University, Riga East Clinical University Hospital, LV-1038 Riga, Latvia
| | - Caterina Marchiò
- Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Elena Provenzano
- Department of Histopathology, Cambridge University Hospitals National Health Service (NHS) Foundation Trust, Cambridge CB2 0QQ, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
| | - Peter Regitnig
- Diagnostic and Research Institute of Pathology, Medical University of Graz, 8010 Graz, Austria
| | - Angelika Reiner
- Department of Pathology, Klinikum Donaustadt, 1090 Vienna, Austria
| | - Aleš Ryška
- The Fingerland Department of Pathology, Charles University Medical Faculty and University Hospital, 50003 Hradec Kralove, Czech Republic
| | - Anna Sapino
- Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | | | - Cecily Quinn
- Department of Histopathology, Irish National Breast Screening Programme, BreastCheck, St. Vincent’s University Hospital and School of Medicine, University College Dublin, D04 T6F4 Dublin, Ireland
- School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Vasiliki Zolota
- Department of Pathology, School of Medicine, University of Patras, 26504 Rion, Greece
| | - Mark Webber
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Sharon A. Glynn
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Rita Bori
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
| | - Erika Csörgő
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
| | | | - Tamás Pancsa
- Department of Pathology, University of Szeged, 6720 Szeged, Hungary
| | - Anita Sejben
- Department of Pathology, University of Szeged, 6720 Szeged, Hungary
| | - István Sejben
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
| | - András Vörös
- Department of Pathology, University of Szeged, 6720 Szeged, Hungary
| | - Tamás Zombori
- Department of Pathology, University of Szeged, 6720 Szeged, Hungary
| | - Tibor Nyári
- Department of Medical Physics and Informatics, University of Szeged, 6720 Szeged, Hungary
| | - Grace Callagy
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Gábor Cserni
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
- Department of Pathology, University of Szeged, 6720 Szeged, Hungary
- Correspondence:
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8
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Sode M, Thagaard J, Eriksen JO, Laenkholm AV. Digital image analysis and assisted reading of the HER2 score display reduced concordance: pitfalls in the categorisation of HER2-low breast cancer. Histopathology 2023; 82:912-924. [PMID: 36737248 DOI: 10.1111/his.14877] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/11/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
AIMS Digital image analysis (DIA) is used increasingly as an assisting tool to evaluate biomarkers, including human epidermal growth factor receptor 2 (HER2) in invasive breast cancer (BC). DIA can assist pathologists in HER2 evaluation by presenting quantitative information about the HER2 staining in APP assisted reading (AR). Concurrently, the HER2-low category (HER2-1+/2+ without HER2 gene amplification) has gained prominence due to newly developed antibody-drug conjugates. However, major inter- and intraobserver variability have been observed for the entity. The present quality assurance study investigated the concordance between DIA and AR in clinical use, especially concerning the HER2-low category. METHODS AND RESULTS HER2 immunohistochemistry (IHC) in 761 tumours from 727 patients was evaluated in tissue microarray (TMA) cores by DIA (Visiopharm HER2-CONNECT) and AR. Overall concordance between HER2-scores were 73% (n = 552, weighted-κ: 0.66), and 88% (n = 669, weighted-κ: 0.70), when combining HER2-0/1+. A total of 205 scores were discordant by one category, while four were discordant by two categories. A heterogeneous HER2 pattern was relatively common in the discordant cases and a pitfall in the categorisation of HER2-low BC. AR more commonly reassigned a lower HER2 score (from HER2-1+ to HER2-0) within the HER2-low subgroup (n = 624) compared with DIA. CONCLUSION DIA and AR display moderate agreement with heterogeneous and aberrant staining, representing a source of discordance and a pitfall in the evaluation of HER2.
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Affiliation(s)
- Michael Sode
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Jens Ole Eriksen
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Anne-Vibeke Laenkholm
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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9
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Shenasa E, Stovgaard ES, Jensen MB, Asleh K, Riaz N, Gao D, Leung S, Ejlertsen B, Laenkholm AV, Nielsen TO. Neither Tumor-Infiltrating Lymphocytes nor Cytotoxic T Cells Predict Enhanced Benefit from Chemotherapy in the DBCG77B Phase III Clinical Trial. Cancers (Basel) 2022; 14:cancers14153808. [PMID: 35954471 PMCID: PMC9367267 DOI: 10.3390/cancers14153808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 12/22/2022] Open
Abstract
Simple Summary Apart from the direct killing of cancer cells, cyclophosphamide-based chemotherapy has been shown to induce an antitumor immune response, and is being used in combination with immunotherapies in cancer care. We assessed the interaction of chemotherapy with immune biomarkers expressed on primary tumor tissue from a randomized phase III clinical trial, and confirmed that the presence of tumor-infiltrating lymphocytes is linked to improved survival in premenopausal women with high-risk breast cancer, regardless of their treatment allocation. However, immune biomarkers including tumor-infiltrating lymphocytes do not predict extra benefit from cyclophosphamide chemotherapy. This finding applies across the major molecular subgroups, including non-luminal and basal breast cancers that tend to be more immunogenic, and are often considered the most suitable subsets for receiving immunotherapy. Abstract Recent studies have shown that immune infiltrates in the tumor microenvironment play a role in response to therapy, with some suggesting that patients with immunogenic tumors may receive increased benefit from chemotherapies. We evaluated this hypothesis in early breast cancer by testing the interaction between immune biomarkers and chemotherapy using materials from DBCG77B, a phase III clinical trial where high-risk premenopausal women were randomized to receive chemotherapy or no chemotherapy. Tissue microarrays were evaluated for tumor-infiltrating lymphocytes (TILs) assessed morphologically on hematoxylin and eosin-stained slides, and by immunohistochemistry for CD8, FOXP3, LAG-3, PD-1 and PD-L1. Following REMARK reporting guidelines, data analyses were performed according to a prespecified statistical plan, using 10-year invasive disease-free survival as the endpoint. Differences in survival probabilities between biomarker groups were evaluated by Kaplan–Meier and Cox proportional hazard ratio analyses and prediction for treatment benefit by an interaction test. Our results showed that stromal TILs were associated with an improved prognosis (HR = 0.93; p-value = 0.03), consistent with previous studies. However, none of the immune biomarkers predicted benefit from chemotherapy in the full study set nor within major breast cancer subtypes. Our study indicates that primary tumors with higher immune infiltration do not derive extra benefit from cyclophosphamide-based cytotoxic chemotherapy.
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Affiliation(s)
- Elahe Shenasa
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
| | | | - Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark
| | - Karama Asleh
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
| | - Nazia Riaz
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
- Centre for Regenerative Medicine and Stem Cell Research, Aga Khan University, Karachi 74800, Pakistan
| | - Dongxia Gao
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
| | - Samuel Leung
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark
| | - Torsten O. Nielsen
- Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver V6H 3Z6, BC, Canada
- Correspondence:
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10
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Curigliano G, Cardoso F, Gnant M, Harbeck N, King JW, Laenkholm AV, Penault Llorca F, Prat A. Consensus on the utility of breast cancer multigene signatures in routine clinical practice: Results of the PROCURE Project. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e13639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e13639 Background: Several Breast Cancer Multigene Signatures (BCMS) are available to profile early breast cancer (eBC) that according to current evidence, can provide reliable information on the risk of recurrence but the knowledge regarding their real use in clinical practice is scarce. The PROCURE Project aims to establish recommendations on the use of BCMS in clinical practice. Methods: A Scientific Committee consisting of 8 European experts in BC, including oncologists, pathologists, and surgeons, developed a Delphi questionnaire that was administered twice to clinicians across different European centers. The questionnaire included 5 sections: 1) Panelists’ profile and experience with BCMS, 2) Current clinical practice in eBC and use of BCMS, 3) Panelists’ opinion on the utility of the BCMS in eBC according to patient profiles, 4) Agreement with a set of recommendations on the use of BCMS in clinical practice and 5) Identification of unmet needs and future applications of BCMS. 70% agreement was used to determine consensus on a topic. Results: 133 panelists from 11 European countries completed both rounds of the survey. Most of the panelists worked in a teaching hospital (86.5%) and 72.2% of them were medical oncologists. 93.6% of the panelists used BCMS routinely or in selected patients and 73.4% had more than 5 years of experience using BCMS. According to panelists, for being useful in clinical practice BCMS should consider clinical and pathological features of the disease (91%). Additionally, BCMS must provide both, prognostic and predictive information (82%), and information on the risk of late distant recurrence from 5 to 10 years (74%), all based on prospective randomized clinical trials (85%). BCMS must also provide accurate results to guide adjuvant chemotherapy decision (81%). Regarding recommendations for improving BCMS utility, 76% of the panelists agreed that hospitals policies on the use of BCMS must be based on clinical practice guidelines. Panelists also agreed that patients should have the right to access their BCMS results to take part in the treatment decision (86%) and more training is needed for patients (79%) as well as oncologists (84%) and pathologists (82%). Finally, panelists mostly disagree on the fact that BCMS must be performed in all patients when BC is suspected (76%). Conclusions: The high degree of importance that panelists attributed to the fact that a BCMS should provide both prognostic and predictive information, reflects a misconception on the utility of BCMS as they are primarily prognostic tools but not predictive about the effect of a therapeutic intervention. Also, consensus reached on the need of providing risk of late recurrence from 5 to 10 years shows that panelists evaluate the long-term treatment even in the early setting.
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Affiliation(s)
| | | | - Michael Gnant
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Nadia Harbeck
- Breast Center, LMU University Hospital, Munich, Germany
| | - Judy W. King
- Royal Free Hospital NHS Trust, London, United Kingdom
| | | | | | - Aleix Prat
- Medical Oncology Department, Hospital Clínic, Barcelona, Spain, Barcelona, Spain
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11
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Reznitsky FM, Jensen JD, Knoop A, Laenkholm AV. Inter-observer agreement of tumor infiltrating lymphocytes in primary HER2-positive breast cancer and correlation between tissue microarray and full tumor-sections. APMIS 2022; 130:545-550. [PMID: 35639634 DOI: 10.1111/apm.13251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022]
Abstract
Tumor infiltrating lymphocytes (TILs) have predictive and prognostic potential in HER2-positive breast cancer (HER2 + BC). Due to tumor heterogeneity, guidelines recommend evaluation on full tumor-sections over biopsies, but aren't clear regarding tissue microarrays (TMAs). Herein, we investigate the inter-observer agreement of TILs assessment in HER2 + BC on full-sections and TMAs using a standardized method. Two pathologists assessed TILs using HE full-sections and TMAs from 244 patients with HER2 + BC. TILs were assessed in 10% intervals; values <10% evaluated as 0%, 1% or 5%. Levels of agreement were evaluated using intraclass-coefficient (ICC), Kappa statistics and concordance analysis. For inter-observer agreement for full-sections, ICC was 0.93 (95% CI 0.89-0.95) and Kappa was 0.75, corresponding to acceptable and moderate agreement respectively. For TMAs, ICC was 0.73 (95% CI: 0.62-0.81) and Kappa 0.33, corresponding to unacceptable agreement. For association in matched TMA and full-sections, ICC was 0.64 (95% CI 0.55-0.71) and Lin's concordance correlation coefficient was 0.63 (95% CI 0.55-0.71), corresponding to unacceptable agreement. There is acceptable inter-observer agreement of TILs assessment on full-sections but not TMAs and discrepancy between full-sections and TMAs. TMA preparation must include consideration for representation of both entire tumor area and tumor-microenvironment to correctly define prognostic and predictive values of potential immuno-related biomarkers.
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Affiliation(s)
- Frances Mary Reznitsky
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark.,Department of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark
| | | | - Ann Knoop
- Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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12
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Loman N, Linderholm B, Ahlgren J, Kimbung S, Zander L, Magnusson HG, Kjellman EC, Raaberg AJ, Jensen MBR, Borg Å, Staaf J, Ståhlberg A, Bendahl PO, Laenkholm AV, Tanner M, Bjarnadóttir O, Johannsson O, Ejlertsen B, Lindman H. Abstract OT2-30-01: Nordictrip, a translational randomized phase-3study exploring the effect of the addition of capecitabine to carboplatinum-based chemotherapy in early “triple negative” breast cancer, ClinicalTrials.gov Identifier: NCT04335669. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-ot2-30-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: A striking heterogeneity combined with an absence of highly efficient targeted treatments necessitates a continued effort to optimize the choice of chemotherapy for patients with triple negative breast cancer (TNBC). Neoadjuvant therapy has become the standard of care for high risk TNBC in order to potentially reduce breast and axillary surgery, start medical treatment early, allow genomic screening and guide post neoadjuvant therapy. Much attention is drawn to the use of immunotherapy in early TNBC, but there is also interesting data suggesting a potential to optimize the use of conventional chemotherapy. According to one meta-analysis including data from nine randomized controlled trials, the addition of platinum salts in the preoperative setting increases the pathologic complete response (pCR) rate in TNBC (Poggio 2018). A second meta-analysis, evaluating the effect of capecitabine in early breast cancer indicates an additional benefit from adding capecitabine to conventional chemotherapy in terms of an increased recurrence-free survival in the subset of TNBC (Mackelenbergh SABCS 2019). An adjuvant trial in TNBC suggests that the beneficial effect of capecitabine may be confined to patients with a non-basal like phenotype of TNBC (Lluch 2020), a subset that correlates with the homologous repair non-deficient subset which constitutes 41 % of TNBC in a mainly south Swedish population based cohort (Staaf 2019). The effect of capecitabine in platinum treated early TNBC is unknown. Objectives: We are conducting a multi-center randomized controlled trial evaluating the effect on the pCR rate by the addition of capecitabine to optimal platinum based and dose dense preoperative chemotherapy in early TNBC. Method: 820 patients (pts) with early TNBC stage 1 (≥20 mm) - 3 will be randomized 1:1 between two treatment arms A and B. A: Epirubicine Cyclophosphamide (EC) q2w x 4 followed by Carboplatin AUC 5 q3w with weekly paclitaxel x 12. B: Epirubicine Cyclophosphamide with capecitabine daily for two weeks (CEX) q3w x 4 followed by Carboplatin AUC 5 q3w with weekly paclitaxel x 12 The primary endpoint is pCR rate in the different treatment strata, and the primary translational endpoint will be the potential difference of treatment effect stratified for HRD-status in the primary tumor. Secondary endpoints include IDFS in subsets of TNBC, eg according to gene-expression-based subtypes of TNBC (Lehmann 2011, Burstein 2015), and germline mutation status of hereditary breast cancer genes. Tumor material for genotypig is collected at baseline, at surgery and optionally after two treatment cycles. Sequential blood samples are collected for tsDNA analysis during and after treatment termination. Results: The trial, which is a collaborative effort between the national breast cancer groups in the participating countries, has been postponed by the pandemic but is now recruiting according to plan. So far 56 patients out of 820 have been recruited at 15 sites in Sweden and Denmark. Additional Sites in Sweden, Denmark, Iceland and Finland are preparing to join the study. For update please see: www.NordicTrip.se; E-mail address: Nordictrip.onkologi@skane.se
Citation Format: Niklas Loman, Barbro Linderholm, Johan Ahlgren, Siker Kimbung, Lina Zander, Heidi Grill Magnusson, Eva-Christin Kjellman, Ann Julia Raaberg, Maj-Britt Raaby Jensen, Åke Borg, Johan Staaf, Anders Ståhlberg, Pär-Ola Bendahl, Anne-Vibeke Laenkholm, Minna Tanner, Olöf Bjarnadóttir, Oskar Johannsson, Bent Ejlertsen, Henrik Lindman. Nordictrip, a translational randomized phase-3study exploring the effect of the addition of capecitabine to carboplatinum-based chemotherapy in early “triple negative” breast cancer, ClinicalTrials.gov Identifier: NCT04335669 [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr OT2-30-01.
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Affiliation(s)
- Niklas Loman
- Dept of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | - Barbro Linderholm
- Dept of Oncology, Jubileumskliniken, Sahlgrenska University Hospital, Sweden
| | - Johan Ahlgren
- Regional Cancer Center, Central Sweden, Uppsala, Sweden
| | - Siker Kimbung
- Division of Oncology, Dept of Clinical Sciences Lund, Lund University, Sweden
| | - Lina Zander
- Dept of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | - Heidi Grill Magnusson
- Dept of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | - Eva-Christin Kjellman
- Dept of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | | | | | - Åke Borg
- Division of Oncology, Dept of Clinical Sciences Lund, Lund University, Sweden
| | - Johan Staaf
- Division of Oncology, Dept of Clinical Sciences Lund, Lund University, Sweden
| | | | - Pär-Ola Bendahl
- Division of Oncology, Dept of Clinical Sciences Lund, Lund University, Sweden
| | | | - Minna Tanner
- Dept of Oncology, Tampere University Hospital, Finland
| | | | | | - Bent Ejlertsen
- Danish Breast Cancer Group, Rigshospitalet, Copenhagen, Denmark
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13
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Curigliano G, Cardoso F, Gnant M, Harbeck N, King J, Laenkholm AV, Penault-Llorca F, Prat A. Abstract P4-06-08: Consensus on the utility of breast cancer multigene signatures in routine clinical practice among European breast cancer specialists - 1st results of the PROCURE project. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p4-06-08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Several genomic assays are available to profile early breast cancer (eBC) that according to current evidence, can provide reliable information on the risk of recurrence. However, little is known regarding their current clinical use and the perception of their utility among European breast cancer (BC) specialists. The PROCURE project aims to develop a consensus on the utility of BC multigene signatures (BCMS) in treatment decision making for different BC patient profiles. Methods: A Scientific Committee of 8 experts in BC from 8 European countries developed a Delphi questionnaire that was administered in two waves to experienced clinicians across Europe with expertise in the use of BCMS. The questionnaire included 5 sections: 1) Participants’ profile and experience with BCMS. 2) Current clinical practice in eBC and use of BCMS. 3) Participants’ opinion on the utility of the BCMS in eBC according to patient profiles. 4) Agreement with a set of recommendations on the use of BCMS in clinical practice. 5) Identification of unmet needs and future applications of BCMS. 70% agreement was used to determine consensus on a topic. Results: 163 BC experts were invited to answer anonymously the online Delphi questionnaire. At wave 2 closure (1st of June 2021) 133 panelists from 11 European countries (grouped in 5 regions) completed both rounds of the survey. Panelists were 48.8 years old (± 9.5). 86.5% of them worked in a teaching hospital, 72.2% were medical oncologists and 12.0% pathologists, the distribution of the specialities of the participants differed by region. The mean number of patients seen, treated or diagnosed on a weekly basis was 36.4 with statistical differences among regions and specialities. The ratio of eBC on BC patients was 63.5%, similar between regions but showed statistical differences among specialities. 93.2% of the panelists used BCMS routinely or in selected patients, with statistical differences among regions, and 73.4% had more than 5 years of experience using BCMS, however the experience of participants varies by regions and specialities. After the 2nd wave, experts panelists in BC management reached a consensus on 50% (35/70) of the items asked on clinical utility, recommendations and future applications of BCMS. Conclusions: European panelists that participated in the PROCURE study showed an extensive experience in the management of BC patients and on the use of BCMS. Detailed results from the 2nd wave will be presented during the 2021 SABCS meeting to engage larger discussion with symposium participants about the agreement or disagreement reached on the main topics.
Citation Format: Giuseppe Curigliano, Fatima Cardoso, Michael Gnant, Nadia Harbeck, Judy King, Anne-Vibeke Laenkholm, Frédérique Penault-Llorca, Aleix Prat. Consensus on the utility of breast cancer multigene signatures in routine clinical practice among European breast cancer specialists - 1st results of the PROCURE project [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-06-08.
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Affiliation(s)
| | | | | | | | - Judy King
- Royal Free Hospital NHS Foundation Trust, London, United Kingdom
| | | | | | - Aleix Prat
- Hospital Clínic de Barcelona, Barcelona, Spain
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14
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Fosheim K, Bojesen S, Troestrup H, Laenkholm AV. Capsulectomy Can Successfully Treat Chronic Encapsulated Breast Seroma: A Case Report. Cureus 2022; 14:e21677. [PMID: 35237476 PMCID: PMC8882229 DOI: 10.7759/cureus.21677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2022] [Indexed: 12/02/2022] Open
Abstract
Chronic encapsulated seroma following breast cancer surgery is a rare entity, and management is challenging. We present clinical and pathologic findings in a patient with previous node-negative breast cancer and an extensive history of chronic bilateral seromas, successfully treated with capsulectomy. This is the first report of fibrous encapsulated breast seroma with bilateral presentation and late onset, following mastectomy with no prior axillary dissection. When managing breast seroma refractory to conventional treatment, the diagnosis of encapsulated seroma should be considered, followed by prompt capsulectomy.
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15
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Kilmartin D, O’Loughlin M, Andreu X, Bagó-Horváth Z, Bianchi S, Chmielik E, Cserni G, Figueiredo P, Floris G, Foschini MP, Kovács A, Heikkilä P, Kulka J, Laenkholm AV, Liepniece-Karele I, Marchiò C, Provenzano E, Regitnig P, Reiner A, Ryška A, Sapino A, Specht Stovgaard E, Quinn C, Zolota V, Webber M, Roshan D, Glynn SA, Callagy G. Intra-Tumour Heterogeneity Is One of the Main Sources of Inter-Observer Variation in Scoring Stromal Tumour Infiltrating Lymphocytes in Triple Negative Breast Cancer. Cancers (Basel) 2021; 13:cancers13174410. [PMID: 34503219 PMCID: PMC8431498 DOI: 10.3390/cancers13174410] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/24/2021] [Indexed: 12/23/2022] Open
Abstract
Stromal tumour infiltrating lymphocytes (sTILs) are a strong prognostic marker in triple negative breast cancer (TNBC). Consistency scoring sTILs is good and was excellent when an internet-based scoring aid developed by the TIL-WG was used to score cases in a reproducibility study. This study aimed to evaluate the reproducibility of sTILs assessment using this scoring aid in cases from routine practice and to explore the potential of the tool to overcome variability in scoring. Twenty-three breast pathologists scored sTILs in digitized slides of 49 TNBC biopsies using the scoring aid. Subsequently, fields of view (FOV) from each case were selected by one pathologist and scored by the group using the tool. Inter-observer agreement was good for absolute sTILs (ICC 0.634, 95% CI 0.539-0.735, p < 0.001) but was poor to fair using binary cutpoints. sTILs heterogeneity was the main contributor to disagreement. When pathologists scored the same FOV from each case, inter-observer agreement was excellent for absolute sTILs (ICC 0.798, 95% CI 0.727-0.864, p < 0.001) and good for the 20% (ICC 0.657, 95% CI 0.561-0.756, p < 0.001) and 40% (ICC 0.644, 95% CI 0.546-0.745, p < 0.001) cutpoints. However, there was a wide range of scores for many cases. Reproducibility scoring sTILs is good when the scoring aid is used. Heterogeneity is the main contributor to variance and will need to be overcome for analytic validity to be achieved.
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Affiliation(s)
- Darren Kilmartin
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, Ireland; (D.K.); (M.O.); (M.W.); (S.A.G.)
| | - Mark O’Loughlin
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, Ireland; (D.K.); (M.O.); (M.W.); (S.A.G.)
| | - Xavier Andreu
- UDIAT-Centre Diagnòstic, Pathology Department, Institut Universitari Parc Taulí-UAB, Parc Taulí, 1, 08205 Sabadell, Spain;
| | - Zsuzsanna Bagó-Horváth
- Department of Pathology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria;
| | - Simonetta Bianchi
- Division of Pathological Anatomy, Department of Health Sciences, University of Florence, 50134 Florence, Italy;
| | - Ewa Chmielik
- Tumor Pathology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland;
| | - Gábor Cserni
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary;
| | - Paulo Figueiredo
- Laboratório de Anatomia Patológica, Instituto Politécnico de Coimbra, 3000-075 Coimbra, Portugal;
| | - Giuseppe Floris
- Laboratory of Translational Cell and Tissue Research, Department of Imaging and Pathology, University Hospitals Leuven, 3000 Leuven, Belgium;
| | - Maria Pia Foschini
- Unit of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bellaria Hospital, 40139 Bologna, Italy;
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden;
| | - Päivi Heikkilä
- Department of Pathology, Helsinki University Central Hospital, 00029 Helsinki, Finland;
| | - Janina Kulka
- 2nd Department of Pathology, Semmelweis University Budapest, Üllői út 93, 1091 Budapest, Hungary;
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark;
| | | | - Caterina Marchiò
- Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy; (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Elena Provenzano
- Department of Histopathology, Cambridge University Hospitals National Health Service (NHS) Foundation Trust, Cambridge CB2 0QQ, UK;
- National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
| | - Peter Regitnig
- Diagnostic and Research Institute of Pathology, Medical University of Graz, 8010 Graz, Austria;
| | - Angelika Reiner
- Department of Pathology, Klinikum Donaustadt, 1090 Vienna, Austria;
| | - Aleš Ryška
- The Fingerland Department of Pathology, Charles University Medical Faculty and University Hospital, 50003 Hradec Kralove, Czech Republic;
| | - Anna Sapino
- Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy; (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | | | - Cecily Quinn
- Irish National Breast Screening Programme, BreastCheck, St. Vincent’s University Hospital, D04 T6F4 Dublin, Ireland;
- School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Vasiliki Zolota
- Department of Pathology, School of Medicine, University of Patras, 26504 Rion, Greece;
| | - Mark Webber
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, Ireland; (D.K.); (M.O.); (M.W.); (S.A.G.)
| | - Davood Roshan
- School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, H91 TK33 Galway, Ireland;
| | - Sharon A. Glynn
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, Ireland; (D.K.); (M.O.); (M.W.); (S.A.G.)
| | - Grace Callagy
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, Ireland; (D.K.); (M.O.); (M.W.); (S.A.G.)
- Correspondence:
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16
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Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, Denkert C, Ellis MJ, Fineberg S, Flowers M, Kreipe HH, Laenkholm AV, Pan H, Penault-Llorca FM, Polley MY, Salgado R, Smith IE, Sugie T, Bartlett JMS, McShane LM, Dowsett M, Hayes DF. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst 2020; 113:808-819. [PMID: 33369635 PMCID: PMC8487652 DOI: 10.1093/jnci/djaa201] [Citation(s) in RCA: 261] [Impact Index Per Article: 65.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/14/2020] [Accepted: 11/30/2020] [Indexed: 12/17/2022] Open
Abstract
Ki67 immunohistochemistry (IHC), commonly used as a proliferation marker in breast cancer, has limited value for treatment decisions due to questionable analytical validity. The International Ki67 in Breast Cancer Working Group (IKWG) consensus meeting, held in October 2019, assessed the current evidence for Ki67 IHC analytical validity and clinical utility in breast cancer, including the series of scoring studies the IKWG conducted on centrally stained tissues. Consensus observations and recommendations are: 1) as for estrogen receptor and HER2 testing, preanalytical handling considerations are critical; 2) a standardized visual scoring method has been established and is recommended for adoption; 3) participation in and evaluation of quality assurance and quality control programs is recommended to maintain analytical validity; and 4) the IKWG accepted that Ki67 IHC as a prognostic marker in breast cancer has clinical validity but concluded that clinical utility is evident only for prognosis estimation in anatomically favorable estrogen receptor–positive and HER2-negative patients to identify those who do not need adjuvant chemotherapy. In this T1-2, N0-1 patient group, the IKWG consensus is that Ki67 5% or less, or 30% or more, can be used to estimate prognosis. In conclusion, analytical validity of Ki67 IHC can be reached with careful attention to preanalytical issues and calibrated standardized visual scoring. Currently, clinical utility of Ki67 IHC in breast cancer care remains limited to prognosis assessment in stage I or II breast cancer. Further development of automated scoring might help to overcome some current limitations.
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Affiliation(s)
- Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Samuel C Y Leung
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Dodson
- The UK National External Quality Assessment Scheme for Immunocytochemistry and In-Situ Hybridisation, London, UK
| | - Balazs Acs
- Department of Oncology and Pathology, Cancer Centre Karolinska (CCK), Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, Sweden
| | - Sunil Badve
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Carsten Denkert
- Philipps University Marburg and University Hospital Marburg, Marburg, Germany
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Hans H Kreipe
- Medical School Hannover, Institute of Pathology, Hannover, Germany
| | | | - Hongchao Pan
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Mei-Yin Polley
- Department of Public Health Sciences, University of Chicago Biological Sciences, Chicago, IL, USA
| | - Roberto Salgado
- Department of Pathology, GasthuisZusters Antwerpen / Hospital Network Antwerp (GZA-ZNA), Antwerp, Belgium.,Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Ian E Smith
- Breast Unit, Royal Marsden Hospital, London, UK
| | - Tomoharu Sugie
- Department of Surgery, Kansai Medical University, Shinmachi, Hirakata City, Osaka Prefecture, Japan
| | - John M S Bartlett
- Diagnostic Development Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.,Edinburgh Cancer Research Centre, University of Edinburgh, Edinburgh, UK
| | - Lisa M McShane
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Mitch Dowsett
- Breast Cancer Now Toby Robins Research Centre, Institute of Cancer Research, London, UK
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
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17
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Salgado R, Bellizzi AM, Rimm D, Bartlett JMS, Nielsen T, Holger M, Laenkholm AV, Quinn C, Cserni G, Cunha IW, Alvarado-Cabrero I, Cree I. How current assay approval policies are leading to unintended imprecision medicine. Lancet Oncol 2020; 21:1399-1401. [PMID: 33098760 DOI: 10.1016/s1470-2045(20)30592-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Roberto Salgado
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Department of Pathology, GZA-ZNA Hospitals, Wilrijk, Antwerp, Belgium.
| | - Andrew M Bellizzi
- Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - David Rimm
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - John M S Bartlett
- Diagnostic Development, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Torsten Nielsen
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, BC, Canada
| | - Moch Holger
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | | | - Cecily Quinn
- Department of Pathology, St Vincent's University Hospital, Dublin, Ireland
| | - Gábor Cserni
- Department of Pathology, Bács-Kiskun County Teaching Hospital, Kecskemét, Hungary; Department of Pathology, University of Szeged, Szeged, Hungary
| | - Isabela W Cunha
- Institute of Anatomical Pathology, Rede D'Or São Luiz Hospitals Network, São Paulo, Brazil; D'Or Institute for Research and Education, Rio de Janeiro and São Paulo, Brazil
| | - Isabel Alvarado-Cabrero
- Department of Pathology, Hospital de Oncología, CMN, SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Ian Cree
- International Agency for Research on Cancer, World Health Organization, Lyon, France
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18
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Heeg E, Jensen MB, Hölmich LR, Bodilsen A, Tollenaar RAEM, Laenkholm AV, Offersen BV, Ejlertsen B, Mureau MAM, Christiansen PM. Rates of re-excision and conversion to mastectomy after breast-conserving surgery with or without oncoplastic surgery: a nationwide population-based study. Br J Surg 2020; 107:1762-1772. [PMID: 32761931 PMCID: PMC7689836 DOI: 10.1002/bjs.11838] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 03/09/2020] [Accepted: 05/31/2020] [Indexed: 01/17/2023]
Abstract
Background There is no consensus regarding the impact of oncoplastic surgery (OPS) on rates of re‐excision and conversion to mastectomy following breast‐conserving surgery (BCS). Here these two outcomes after BCS and OPS were compared in a nationwide population‐based setting. Methods In Denmark, all OPS is registered and categorized into volume displacement, volume reduction or volume replacement. Patients who underwent BCS or OPS between 2012 and 2018 were selected from the Danish Breast Cancer Group database. Multivariable analyses were performed to adjust for confounders, and propensity score matching to limit potential confounding by indication bias. Results A total of 13 185 patients (72·5 per cent) underwent BCS and 5003 (27·5 per cent) OPS. Volume displacement was used in 4171 patients (83·4 per cent), volume reduction in 679 (13·6 per cent) and volume replacement in 153 (3·1 per cent). Re‐excision rates were 15·6 and 14·1 per cent after BCS and OPS respectively. After adjusting for confounders, patients were less likely to have a re‐excision following OPS than BCS (odds ratio (OR) 0·80, 95 per cent c.i. 0·72 to 0·88), specifically after volume displacement and reduction. The rate of conversion to mastectomy was similar after OPS and BCS (3·2 versus 3·7 per cent; P = 0·105), but with a lower risk in adjusted analysis (OR 0·69, 0·58 to 0·84), specifically after volume displacement and reduction procedures. Findings were similar after propensity score matching. Conclusion A modest decrease in re‐excision rate and less frequent conversion to mastectomy were observed after OPS compared with BCS.
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Affiliation(s)
- E Heeg
- Dutch Institute for Clinical Auditing, Leiden, the Netherlands.,Department of Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - M B Jensen
- Danish Breast Cancer Cooperative Group, Copenhagen, Denmark
| | - L R Hölmich
- Department of Plastic Surgery, Herlev Gentofte Hospital, Herlev, Denmark
| | | | - R A E M Tollenaar
- Department of Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - A V Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, Slagelse, Denmark
| | | | - B Ejlertsen
- Danish Breast Cancer Cooperative Group, Copenhagen, Denmark.,Department of Oncology, Rigshospitalet, Copenhagen, Denmark
| | - M A M Mureau
- Department of Plastic and Reconstructive Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - P M Christiansen
- Plastic and Breast Surgery, Aarhus University Hospital, Aarhus, Denmark
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19
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Skriver SK, Jensen MB, Eriksen JO, Ahlborn LB, Knoop AS, Rossing M, Ejlertsen B, Laenkholm AV. Induction of PIK3CA alterations during neoadjuvant letrozole may improve outcome in postmenopausal breast cancer patients. Breast Cancer Res Treat 2020; 184:123-133. [PMID: 32748297 DOI: 10.1007/s10549-020-05833-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE Estrogen receptor positive (ER+) breast cancer constitutes almost 85% of all breast cancer patients and are a genetically highly heterogenic group. Data on the association of somatic alterations to outcome and prognosis are however sparse. In this neoadjuvant endocrine phase II trial including postmenopausal breast cancer patients with ER+, HER2 normal breast cancer, we investigated the rate of pathogenic mutations before and after treatment as well as the association with treatment response and survival. METHODS Pretreatment and posttreatment tumour samples from 109 patients treated with neoadjuvant letrozole were collected and analysed with Next Generation Sequencing utilizing a panel of 12 genes (ALK, BRAF, EGFR, ERBB2, ERBB3, ESR1, KIT, KRAS, NRAS, PDGFRA, PIK3CA, and RAF1). Residual disease was assessed by a modified Miller Payne scale and the Residual Cancer Burden index. Survival data were collected prospectively. RESULTS Among the 109 patients, 52 had at least one pathogenic mutation in the pretreatment sample and 60 in the posttreatment sample. The most frequently mutated gene was PIK3CA, followed by EGFR and KRAS. Twelve different pathogenic PIK3CA mutations were identified, primarily in exon 20 and exon 9. An altered PIK3CA mutation profile from the pre- to the posttreatment specimen was significantly associated to improved pathological outcome. Overall and Disease-Free Survival benefits in PIK3CA mutated patients was observed. CONCLUSION Considerable heterogeneity was identified both among patients and between pre- and posttreatment samples. PIK3CA has the potential to be a predictive biomarker. To further assess the implications of a treatment related altered PIK3CA mutation profile, more data are needed.
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Affiliation(s)
- Signe Korsgaard Skriver
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Section 5703 Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
| | - Maj-Britt Jensen
- The Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jens-Ole Eriksen
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Lise Barlebo Ahlborn
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ann Soegaard Knoop
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Section 5703 Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bent Ejlertsen
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Section 5703 Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.,The Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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20
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Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O'Mara TA, Zhao N, Bolla MK, Dunning AM, Dennis J, Wang Q, Ful ZA, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Arun BK, Auer PL, Azzollini J, Barrowdale D, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Bondavalli D, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brucker SY, Brüning T, Burwinkel B, Buys SS, Byers H, Caldés T, Caligo MA, Calvello M, Campa D, Castelao JE, Chang-Claude J, Chanock SJ, Christiaens M, Christiansen H, Chung WK, Claes KBM, Clarke CL, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Diez O, Domchek SM, Dörk T, Dwek M, Eccles DM, Ekici AB, Evans DG, Fasching PA, Figueroa J, Foretova L, Fostira F, Friedman E, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Häberle L, Hahnen E, Haiman CA, Hake CR, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Hillemanns P, Hogervorst FBL, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huebner H, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John EM, Jones ME, Jung A, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khan S, Khusnutdinova E, Kitahara CM, Ko YD, Konstantopoulou I, Koppert LB, Koutros S, Kristensen VN, Laenkholm AV, Lambrechts D, Larsson SC, Laurent-Puig P, Lazaro C, Lazarova E, Lejbkowicz F, Leslie G, Lesueur F, Lindblom A, Lissowska J, Lo WY, Loud JT, Lubinski J, Lukomska A, MacInnis RJ, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Matricardi L, McGuffog L, McLean C, Mebirouk N, Meindl A, Menon U, Miller A, Mingazheva E, Montagna M, Mulligan AM, Mulot C, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen FC, Nikitina-Zake L, Nodora J, Offit K, Olah E, Olopade OI, Olsson H, Orr N, Papi L, Papp J, Park-Simon TW, Parsons MT, Peissel B, Peixoto A, Peshkin B, Peterlongo P, Peto J, Phillips KA, Piedmonte M, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Prokofyeva D, Rack B, Radice P, Ramus SJ, Rantala J, Rashid MU, Rennert G, Rennert HS, Risch HA, Romero A, Rookus MA, Rübner M, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Scheuner MT, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schöttker B, Schürmann P, Senter L, Sharma P, Sherman ME, Shu XO, Singer CF, Smichkoska S, Soucy P, Southey MC, Spinelli JJ, Stone J, Stoppa-Lyonnet D, Swerdlow AJ, Szabo CI, Tamimi RM, Tapper WJ, Taylor JA, Teixeira MR, Terry M, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Troester MA, Truong T, Tung N, Untch M, Vachon CM, van den Ouweland AMW, van der Kolk LE, van Veen EM, vanRensburg EJ, Vega A, Wappenschmidt B, Weinberg CR, Weitzel JN, Wildiers H, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zheng W, Zorn KK, Milne RL, Kraft P, Simard J, Pharoah PDP, Michailidou K, Antoniou AC, Schmidt MK, Chenevix-Trench G, Easton DF, Chatterjee N, García-Closas M. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet 2020; 52:572-581. [PMID: 32424353 PMCID: PMC7808397 DOI: 10.1038/s41588-020-0609-2] [Citation(s) in RCA: 207] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 03/05/2020] [Indexed: 11/18/2022]
Abstract
Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
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Affiliation(s)
- Haoyu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - Julie Lecarpentier
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Daniel Barnes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Guanghao Qi
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tracy A O'Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ni Zhao
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Zumuruda Abu Ful
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California, Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Banu K Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul L Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
| | - Javier Benitez
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Katarzyna Bialkowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Ana Blanco
- Molecular Medicine Unit, Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Santiago de Compostela, Spain
- CIBERER, Santiago de Compostela, Spain
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Davide Bondavalli
- Division of Cancer Prevention and Genetics, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Ake Borg
- Department of Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany
- Division of Preventive Oncology, DKFZ and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Ignacio Briceno
- Bioscience Department, Faculty of Medicine, Universidad de la Sabana, Chia, Colombia
| | - Annegien Broeks
- Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Sara Y Brucker
- Department of Women's Health, University of Tübingen, Tübingen, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Ruhr University Bochum, Bochum, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group (C080), DKFZ, Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Women's Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Saundra S Buys
- Department of Medicine, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Helen Byers
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester NIHR Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Trinidad Caldés
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Maria A Caligo
- Section of Molecular Genetics, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Mariarosaria Calvello
- Division of Cancer Prevention and Genetics, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Daniele Campa
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - Melissa Christiaens
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Hans Christiansen
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | | | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Sten Cornelissen
- Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Orland Diez
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Susan M Domchek
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Miriam Dwek
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Diana M Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center ER-EMN, Erlangen, Germany
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester NIHR Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine, Division of Hematology and Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh Medical School, Edinburgh, UK
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Eitan Friedman
- The Susanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, IDIS, Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Judy Garber
- Cancer Risk and Prevention Clinic, Dana-Farber Cancer Institute, Boston, MA, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars-Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, Kansas University Medical Center, Kansas City, KS, USA
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, Québec, Canada
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Pascal Guénel
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University of Paris-Saclay, Paris, France
| | - Lothar Häberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center ER-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, DKFZ, Heidelberg, Germany
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Nightingale Breast Screening Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Frans B L Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | | | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Hanna Huebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Peter J Hulick
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, IL, USA
| | | | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Louise Izatt
- Clinical Genetics, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Agnes Jager
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Milena Jakimovska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Paul James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
| | - Ramunas Janavicius
- Hematology, Oncology and Transfusion Medicine Center, Department of Molecular and Regenerative Medicine, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania
- State Research Institute Center for Innovative Medicine, Vilnius, Lithuania
| | - Wolfgang Janni
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Audrey Jung
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Beth Y Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Sofia Khan
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State Medical University, Ufa, Russia
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Linetta B Koppert
- Department of Surgical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - Vessela N Kristensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-Radiumhospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory of Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Conxi Lazaro
- Molecular Diagnostic Unit, Hereditary Cancer Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), CIBERONC, Barcelona, Spain
| | - Emilija Lazarova
- Ss. Cyril and Methodius University in Skopje, Medical Faculty, University Clinic of Radiotherapy and Oncology, Skopje, Republic of North Macedonia
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Cancer Center, Oncology Institute, Warsaw, Poland
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Jennifer T Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Alicja Lukomska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | | | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Maria Elena Martinez
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Laura Matricardi
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology (IOV)-IRCCS, Padua, Italy
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Catriona McLean
- Department of Anatomical Pathology, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Noura Mebirouk
- Genetic Epidemiology of Cancer Team, INSERM U900, Institut Curie, PSL University, Mines ParisTech, Paris, France
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, Ludwig Maximilian University of Munich, Munich, Germany
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Elvira Mingazheva
- Department of Genetics and Fundamental Medicine, Bashkir State Medical University, Ufa, Russia
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology (IOV)-IRCCS, Padua, Italy
| | - Anna Marie Mulligan
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Claire Mulot
- Université Paris Sorbonne Cité, INSERM UMR-S1147, Paris, France
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Katherine L Nathanson
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Patrick Neven
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - William G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester NIHR Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Finn C Nielsen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Jesse Nodora
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Kenneth Offit
- Clinical Genetics Research Laboratory, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics, The University of Chicago, Chicago, IL, USA
- Department of Clinical Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Laura Papi
- Unit of Medical Genetics, Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence, Italy
| | - Janos Papp
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | | | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Bernard Peissel
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Ana Peixoto
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
| | - Beth Peshkin
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM, FIRC Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Marion Piedmonte
- NRG Oncology, Statistics and Data Management Center, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Karolina Prajzendanc
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Darya Prokofyeva
- Department of Genetics and Fundamental Medicine, Bashkir State Medical University, Ufa, Russia
| | - Brigitte Rack
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, INT, Milan, Italy
| | - Susan J Ramus
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
- School of Women's and Children's Health, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | | | - Muhammad U Rashid
- Molecular Genetics of Breast Cancer, DKFZ, Heidelberg, Germany
- Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), Lahore, Pakistan
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Harvey A Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
- Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Matti A Rookus
- Department of Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Matthias Rübner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center ER-EMN, Erlangen, Germany
| | - Thomas Rüdiger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | | | - Sarah Sampson
- Prevent Breast Cancer Centre and Nightingale Breast Screening Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Durham, NC, USA
| | - Elinor J Sawyer
- Research Oncology, Guy's Hospital, King's College London, London, UK
| | - Maren T Scheuner
- Cancer Genetics and Prevention Program, University of California, San Francisco, San Francisco, CA, USA
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andreas Schneeweiss
- Molecular Biology of Breast Cancer, University Women's Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
- NCT, University Hospital and DKFZ, Heidelberg, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Schürmann
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Leigha Senter
- Clinical Cancer Genetics Program, Division of Human Genetics, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Oncology, University of Kansas Medical Center, Westwood, Kansas City, KS, USA
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Christian F Singer
- Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Snezhana Smichkoska
- Ss. Cyril and Methodius University in Skopje, Medical Faculty, University Clinic of Radiotherapy and Oncology, Skopje, Republic of North Macedonia
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Québec City, Québec, Canada
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - John J Spinelli
- Population Oncology, BC Cancer, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Dominique Stoppa-Lyonnet
- Department of Genetics, INSERM U830, Institut Curie, Paris Descartes Sorbonne-Paris Cité University, Paris, France
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Csilla I Szabo
- National Human Genome Research Institute, National Cancer Institute, Bethesda, MD, USA
| | - Rulla M Tamimi
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Durham, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Durham, NC, USA
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - MaryBeth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Darcy L Thull
- Department of Medicine, Magee-Womens Hospital, School of Medicine, University of Pittsburgh , Pittsburgh, PA, USA
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology, McGill University, Montréal, Québec, Canada
- Department of Medical Genetics, National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Amanda E Toland
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Ian Tomlinson
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Diana Torres
- Molecular Genetics of Breast Cancer, DKFZ, Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University of Paris-Saclay, Paris, France
| | - Nadine Tung
- Department of Medical Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Michael Untch
- Department of Gynecology and Obstetrics, Helios Clinics Berlin-Buch, Berlin, Germany
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Lizet E van der Kolk
- Family Cancer Clinic, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Elke M van Veen
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester NIHR Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Ana Vega
- Molecular Medicine Unit, Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Santiago de Compostela, Spain
- CIBERER, Santiago de Compostela, Spain
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Durham, NC, USA
| | | | - Hans Wildiers
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Alicja Wolk
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Kristin K Zorn
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Québec City, Québec, Canada
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
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21
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Kos Z, Roblin E, Kim RS, Michiels S, Gallas BD, Chen W, van de Vijver KK, Goel S, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Symmans WF, Sotiriou C, Rimm DL, Hewitt S, Denkert C, Loibl S, Luen SJ, Bartlett JMS, Savas P, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kok M, Horlings HM, Madabhushi A, van der Laak J, Ciompi F, Laenkholm AV, Bellolio E, Gruosso T, Fox SB, Araya JC, Floris G, Hudeček J, Voorwerk L, Beck AH, Kerner J, Larsimont D, Declercq S, Van den Eynden G, Pusztai L, Ehinger A, Yang W, AbdulJabbar K, Yuan Y, Singh R, Hiley C, Bakir MA, Lazar AJ, Naber S, Wienert S, Castillo M, Curigliano G, Dieci MV, André F, Swanton C, Reis-Filho J, Sparano J, Balslev E, Chen IC, Stovgaard EIS, Pogue-Geile K, Blenman KRM, Penault-Llorca F, Schnitt S, Lakhani SR, Vincent-Salomon A, Rojo F, Braybrooke JP, Hanna MG, Soler-Monsó MT, Bethmann D, Castaneda CA, Willard-Gallo K, Sharma A, Lien HC, Fineberg S, Thagaard J, Comerma L, Gonzalez-Ericsson P, Brogi E, Loi S, Saltz J, Klaushen F, Cooper L, Amgad M, Moore DA, Salgado R. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer. NPJ Breast Cancer 2020; 6:17. [PMID: 32411819 PMCID: PMC7217863 DOI: 10.1038/s41523-020-0156-0] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 03/02/2020] [Indexed: 02/08/2023] Open
Abstract
Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) and HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible assessment. Previously developed standardized scoring guidelines have been widely embraced by the clinical and research communities. We evaluated sources of variability in sTIL assessment by pathologists in three previous sTIL ring studies. We identify common challenges and evaluate impact of discrepancies on outcome estimates in early TNBC using a newly-developed prognostic tool. Discordant sTIL assessment is driven by heterogeneity in lymphocyte distribution. Additional factors include: technical slide-related issues; scoring outside the tumor boundary; tumors with minimal assessable stroma; including lymphocytes associated with other structures; and including other inflammatory cells. Small variations in sTIL assessment modestly alter risk estimation in early TNBC but have the potential to affect treatment selection if cutpoints are employed. Scoring and averaging multiple areas, as well as use of reference images, improve consistency of sTIL evaluation. Moreover, to assist in avoiding the pitfalls identified in this analysis, we developed an educational resource available at www.tilsinbreastcancer.org/pitfalls.
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Affiliation(s)
- Zuzana Kos
- Department of Pathology, BC Cancer - Vancouver, Vancouver, BC Canada
| | - Elvire Roblin
- Department of Biostatistics and Epidemiology, Gustave Roussy, University Paris-Saclay, Villejuif, France
- Oncostat U1018, Inserm, University Paris-Saclay, labeled Ligue Contre le Cancer, Villejuif, France
| | - Rim S. Kim
- National Surgical Adjuvant Breast and Bowel Project (NSABP)/NRG Oncology, Pittsburgh, PA USA
| | - Stefan Michiels
- Department of Biostatistics and Epidemiology, Gustave Roussy, University Paris-Saclay, Villejuif, France
- Oncostat U1018, Inserm, University Paris-Saclay, labeled Ligue Contre le Cancer, Villejuif, France
| | - Brandon D. Gallas
- Division of Imaging, Diagnostics, and Software Reliability (DIDSR); Office of Science and Engineering Laboratories (OSEL); Center for Devices and Radiological Health (CDRH), US Food and Drug Administration (US FDA), Silver Spring, MD USA
| | - Weijie Chen
- Division of Imaging, Diagnostics, and Software Reliability (DIDSR); Office of Science and Engineering Laboratories (OSEL); Center for Devices and Radiological Health (CDRH), US Food and Drug Administration (US FDA), Silver Spring, MD USA
| | - Koen K. van de Vijver
- Department of Pathology, University Hospital Antwerp, Antwerp, Belgium
- Department of Pathology, Ghent University Hospital, Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Shom Goel
- The Sir Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria Australia
| | - Sylvia Adams
- Perlmutter Cancer Center, New York University Medical School, New York, NY USA
| | - Sandra Demaria
- Departments of Radiation Oncology and Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY USA
| | - Giuseppe Viale
- Department of Pathology, Istituto Europeo di Oncologia, University of Milan, Milan, Italy
| | - Torsten O. Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Sunil S. Badve
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, USA
| | - W. Fraser Symmans
- Department of Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX USA
| | - Christos Sotiriou
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - David L. Rimm
- Department of Pathology, Yale School of Medicine, New Haven, CT USA
| | - Stephen Hewitt
- Laboratory of Pathology, National Cancer Institute, NIH, Bethesda, MD USA
| | - Carsten Denkert
- Institute of Pathology, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg and Philipps-Universität Marburg, Marburg, Germany
| | | | - Stephen J. Luen
- Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria Australia
- Division of Research and Cancer Medicine, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC Australia
| | - John M. S. Bartlett
- Ontario Institute for Cancer Research, Toronto, ON Canada
- University of Edinburgh Cancer Research Centre, Edinburgh, UK
| | - Peter Savas
- Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria Australia
- Division of Research and Cancer Medicine, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC Australia
| | - Giancarlo Pruneri
- Department of Pathology, IRCCS Fondazione Instituto Nazionale Tumori and University of Milan, School of Medicine, Milan, Italy
| | - Deborah A. Dillon
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA USA
- Department of Pathology, Dana Farber Cancer Institute, Boston, MA USA
| | - Maggie Chon U. Cheang
- Institute of Cancer Research Clinical Trials and Statistics Unit, The Institute of Cancer Research, Surrey, UK
| | - Andrew Tutt
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | | | - Marleen Kok
- Department of Medical Oncology and Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Hugo M. Horlings
- Department of Pathology, University Hospital Antwerp, Antwerp, Belgium
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Anant Madabhushi
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH USA
- Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH USA
| | - Jeroen van der Laak
- Computational Pathology Group, Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Francesco Ciompi
- Computational Pathology Group, Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Enrique Bellolio
- Departamento de Anatomía Patológica, Universidad de La Frontera, Temuco, Chile
| | | | - Stephen B. Fox
- The Sir Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Department of Pathology, Peter MacCallum Cancer Centre Department of Pathology, Melbourne, VIC Australia
| | | | - Giuseppe Floris
- KU Leuven- Univerisity of Leuven, Department of Imaging and Pathology, Laboratory of Translational Cell & Tissue Research and KU Leuven- University Hospitals Leuven, Department of Pathology, Leuven, Belgium
| | - Jan Hudeček
- Department of Research IT, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Leonie Voorwerk
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | - Denis Larsimont
- Department of Pathology, Jules Bordet Institute, Brussels, Belgium
| | | | | | - Lajos Pusztai
- Department of Internal Medicine, Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT USA
| | - Anna Ehinger
- Department of Clinical Genetics and Pathology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Wentao Yang
- Department of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China
| | - Khalid AbdulJabbar
- Centre for Evolution and Cancer; Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Yinyin Yuan
- Centre for Evolution and Cancer; Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Rajendra Singh
- Icahn School of Medicine at Mt. Sinai, New York, NY 10029 USA
| | - Crispin Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, London, UK
| | - Maise al Bakir
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, London, UK
| | - Alexander J. Lazar
- Departments of Pathology, Genomic Medicine, Dermatology, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Stephen Naber
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, USA
| | - Stephan Wienert
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Charitéplatz 1, 10117 Berlin, Germany
| | - Miluska Castillo
- Department of Medical Oncology and Research, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038 Peru
| | | | - Maria-Vittoria Dieci
- Medical Oncology 2, Istituto Oncologico Veneto IOV - IRCCS, Padova, Italy
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Fabrice André
- Department of Medical Oncology, Institut Gustave Roussy, Villejuif, France
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, London, UK
- Francis Crick Institute, Midland Road, London, UK
| | - Jorge Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Joseph Sparano
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY USA
| | - Eva Balslev
- Department of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark
| | - I-Chun Chen
- Department of Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | | | - Katherine Pogue-Geile
- National Surgical Adjuvant Breast and Bowel Project (NSABP)/NRG Oncology, Pittsburgh, PA USA
| | - Kim R. M. Blenman
- Department of Internal Medicine, Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT USA
| | | | - Stuart Schnitt
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA USA
| | - Sunil R. Lakhani
- The University of Queensland Centre for Clinical Research and Pathology Queensland, Brisbane, QLD Australia
| | - Anne Vincent-Salomon
- Institut Curie, Paris Sciences Lettres Université, Inserm U934, Department of Pathology, Paris, France
| | - Federico Rojo
- Pathology Department, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD) - CIBERONC, Madrid, Spain
- GEICAM-Spanish Breast Cancer Research Group, Madrid, Spain
| | - Jeremy P. Braybrooke
- Nuffield Department of Population Health, University of Oxford, Oxford and Department of Medical Oncology, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Matthew G. Hanna
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - M. Teresa Soler-Monsó
- Department of Pathology, Bellvitge University Hospital, IDIBELL. Breast Unit. Catalan Institut of Oncology. L ‘Hospitalet del Llobregat’, Barcelona, 08908 Catalonia Spain
| | - Daniel Bethmann
- University Hospital Halle (Saale), Institute of Pathology, Halle (Saale), Germany
| | - Carlos A. Castaneda
- Department of Medical Oncology and Research, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038 Peru
| | - Karen Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Universitè Libre de Bruxelles, Brussels, Belgium
| | - Ashish Sharma
- Department of Biomedical Informatics, Emory University, Atlanta, GA USA
| | - Huang-Chun Lien
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Susan Fineberg
- Department of Pathology, Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY USA
| | - Jeppe Thagaard
- DTU Compute, Department of Applied Mathematics, Technical University of Denmark; Visiopharm A/S, Hørsholm, Denmark
| | - Laura Comerma
- GEICAM-Spanish Breast Cancer Research Group, Madrid, Spain
- Pathology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain
| | - Paula Gonzalez-Ericsson
- Breast Cancer Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN USA
| | - Edi Brogi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Sherene Loi
- Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria Australia
- Division of Research and Cancer Medicine, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC Australia
| | - Joel Saltz
- Biomedical Informatics Department, Stony Brook University, Stony Brook, NY USA
| | - Frederick Klaushen
- Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Lee Cooper
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Mohamed Amgad
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA USA
| | - David A. Moore
- Department of Pathology, UCL Cancer Institute, UCL, London, UK
- University College Hospitals NHS Trust, London, UK
| | - Roberto Salgado
- Division of Research and Cancer Medicine, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC Australia
- Department of Pathology, GZA-ZNA, Antwerp, Belgium
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22
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Gonzalez-Ericsson PI, Stovgaard ES, Sua LF, Reisenbichler E, Kos Z, Carter JM, Michiels S, Le Quesne J, Nielsen TO, Laenkholm AV, Fox SB, Adam J, Bartlett JM, Rimm DL, Quinn C, Peeters D, Dieci MV, Vincent-Salomon A, Cree I, Hida AI, Balko JM, Haynes HR, Frahm I, Acosta-Haab G, Balancin M, Bellolio E, Yang W, Kirtani P, Sugie T, Ehinger A, Castaneda CA, Kok M, McArthur H, Siziopikou K, Badve S, Fineberg S, Gown A, Viale G, Schnitt SJ, Pruneri G, Penault-Llorca F, Hewitt S, Thompson EA, Allison KH, Symmans WF, Bellizzi AM, Brogi E, Moore DA, Larsimont D, Dillon DA, Lazar A, Lien H, Goetz MP, Broeckx G, El Bairi K, Harbeck N, Cimino-Mathews A, Sotiriou C, Adams S, Liu SW, Loibl S, Chen IC, Lakhani SR, Juco JW, Denkert C, Blackley EF, Demaria S, Leon-Ferre R, Gluz O, Zardavas D, Emancipator K, Ely S, Loi S, Salgado R, Sanders M. The path to a better biomarker: application of a risk management framework for the implementation of PD-L1 and TILs as immuno-oncology biomarkers in breast cancer clinical trials and daily practice. J Pathol 2020; 250:667-684. [PMID: 32129476 DOI: 10.1002/path.5406] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 02/18/2020] [Indexed: 02/05/2023]
Abstract
Immune checkpoint inhibitor therapies targeting PD-1/PD-L1 are now the standard of care in oncology across several hematologic and solid tumor types, including triple negative breast cancer (TNBC). Patients with metastatic or locally advanced TNBC with PD-L1 expression on immune cells occupying ≥1% of tumor area demonstrated survival benefit with the addition of atezolizumab to nab-paclitaxel. However, concerns regarding variability between immunohistochemical PD-L1 assay performance and inter-reader reproducibility have been raised. High tumor-infiltrating lymphocytes (TILs) have also been associated with response to PD-1/PD-L1 inhibitors in patients with breast cancer (BC). TILs can be easily assessed on hematoxylin and eosin-stained slides and have shown reliable inter-reader reproducibility. As an established prognostic factor in early stage TNBC, TILs are soon anticipated to be reported in daily practice in many pathology laboratories worldwide. Because TILs and PD-L1 are parts of an immunological spectrum in BC, we propose the systematic implementation of combined PD-L1 and TIL analyses as a more comprehensive immuno-oncological biomarker for patient selection for PD-1/PD-L1 inhibition-based therapy in patients with BC. Although practical and regulatory considerations differ by jurisdiction, the pathology community has the responsibility to patients to implement assays that lead to optimal patient selection. We propose herewith a risk-management framework that may help mitigate the risks of suboptimal patient selection for immuno-therapeutic approaches in clinical trials and daily practice based on combined TILs/PD-L1 assessment in BC. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
| | - Elisabeth S Stovgaard
- Department of Pathology, Herlev and Gentofte Hospital, University of Copenhagen, Herlev, Denmark
| | - Luz F Sua
- Department of Pathology and Laboratory Medicine, Fundación Valle del Lili, and Faculty of Health Sciences, Universidad ICESI, Cali, Colombia
| | | | - Zuzana Kos
- Department of Pathology, BC Cancer Agency, Vancouver, Canada
| | - Jodi M Carter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Stefan Michiels
- Biostatistics and Epidemiology Service, Centre de Recherche en Epidémiologie et Santé des Populations, Gustave Roussy, Université Paris-Sud, Villejuif, France
| | - John Le Quesne
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
- MRC Toxicology Unit, University of Cambridge, Leicester, UK
| | - Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | | | - Stephen B Fox
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | - Julien Adam
- Department of Pathology, Gustave Roussy, Grand Paris, France
| | - John Ms Bartlett
- Ontario Institute for Cancer Research, Toronto, Canada
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - David L Rimm
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Cecily Quinn
- Department of Pathology, St Vincent's University Hospital and University College Dublin, Dublin, Ireland
| | - Dieter Peeters
- HistoGeneX NV, Antwerp, Belgium
- AZ Sint-Maarten Hospital, Mechelen, Belgium
| | - Maria V Dieci
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
- Medical Oncology 2, Istituto Oncologico Veneto - IRCCS, Padova, Italy
| | | | - Ian Cree
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Justin M Balko
- Breast Cancer Research Program, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Harry R Haynes
- Department of Cellular Pathology, North Bristol NHS Trust, Bristol, UK
- Translational Health Sciences, University of Bristol, Bristol, UK
| | - Isabel Frahm
- Department of Pathology, Sanatorio Mater Dei, Buenos Aires, Argentina
| | - Gabriela Acosta-Haab
- Department of Pathology, Hospital de Oncología Maria Curie, Buenos Aires, Argentina
| | - Marcelo Balancin
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Enrique Bellolio
- Department of Pathology, Universidad de La Frontera, Temuco, Chile
| | - Wentao Yang
- Department of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, PR China
| | - Pawan Kirtani
- Department of Histopathology, Manipal Hospitals Dwarka, New Delhi, India
| | - Tomoharu Sugie
- Breast Surgery, Kansai Medical University Hospital, Hirakata, Japan
| | - Anna Ehinger
- Department of Clinical Genetics and Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Carlos A Castaneda
- Department of Medical Oncology, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | - Marleen Kok
- Divisions of Medical Oncology, Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Heather McArthur
- Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kalliopi Siziopikou
- Department of Pathology, Breast Pathology Section, Northwestern University, Chicago, IL, USA
| | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, IN, USA
| | - Susan Fineberg
- Department of Pathology, Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | - Allen Gown
- PhenoPath Laboratories, Seattle, WA, USA
| | - Giuseppe Viale
- Department of Pathology, Istituto Europeo di Oncologia IRCCS, Milan, Italy
- University of Milan, Milan, Italy
| | - Stuart J Schnitt
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Giancarlo Pruneri
- University of Milan, Milan, Italy
- Department of Pathology, IRCCS Fondazione Instituto Nazionale Tumori, Milan, Italy
| | - Frederique Penault-Llorca
- Department of Biology and Pathology, Centre Jean Perrin, Clermont Ferrand, France
- UMR INSERM 1240, Université Clermont Auvergne, Clermont Ferrand, France
| | - Stephen Hewitt
- Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - William F Symmans
- Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew M Bellizzi
- Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Edi Brogi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCL Cancer Institute, and Department of Cellular Pathology, UCLH, London, UK
| | - Denis Larsimont
- Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Deborah A Dillon
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alexander Lazar
- Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Huangchun Lien
- Graduate Institute of Pathology, National Taiwan University, Taipei, Taiwan
| | | | - Glenn Broeckx
- Department of Pathology, University Hospital Antwerp, Edegem, Belgium
| | - Khalid El Bairi
- Cancer Biomarkers Working Group, Faculty of Medicine and Pharmacy, Mohamed Ist University, Oujda, Morocco
| | - Nadia Harbeck
- Breast Center, Department of OB&GYN and CCC (LMU), University of Munich, Munich, Germany
| | - Ashley Cimino-Mathews
- Department of Pathology and Oncology, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Christos Sotiriou
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Sylvia Adams
- Perlmutter Cancer Center, New York University Medical School, New York, NY, USA
| | | | | | - I-Chun Chen
- Department of Medical Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Sunil R Lakhani
- The University of Queensland, Centre for Clinical Research, and Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, Australia
| | - Jonathan W Juco
- Translational Medicine, Merck & Co, Inc, Kenilworth, NJ, USA
| | - Carsten Denkert
- Institute of Pathology, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg and Philipps-Universität Marburg, Marburg, Germany
| | - Elizabeth F Blackley
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Sandra Demaria
- Department of Radiation Oncology, Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Oleg Gluz
- Johanniter GmbH - Evangelisches Krankenhaus Bethesda Mönchengladbach, West German Study Group, Mönchengladbach, Germany
| | | | | | - Scott Ely
- Translational Medicine, Bristol-Myers Squibb, Princeton, NJ, USA
| | - Sherene Loi
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Roberto Salgado
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Melinda Sanders
- Breast Cancer Research Program, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
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23
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Skriver SK, Jensen MB, Knoop AS, Ejlertsen B, Laenkholm AV. Abstract P4-10-18: Changes in tumour infiltrating lymphocytes during neoadjuvant endocrine therapy and possible clinical implications for guiding therapy. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p4-10-18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Stromal Tumour Infiltrating Lymphocytes (sTILs) has been established as a predictive biomarker for response to neoadjuvant chemotherapy irrespective of subtype. While increased sTIL levels is associated with prolonged survival among patients with triple-negative and HER2 positive breast cancer increased sTILs has in Estrogen Receptor positive (ER+) breast cancer been suggested to be an adverse prognostic factor. It has been hypothesised that differences in the cellular composition of immune cells may explain the dissimilarity in prognostic impact according to breast cancer subtype.
Here, we report data from a neoadjuvant phase II study, treating postmenopausal patients with primary ER+, HER2 negative, operable breast cancer with letrozole for four months by the Danish Breast Cancer Group (DBCG). We analysed the association of sTILs, and changes in sTILs during neoadjuvant endocrine treatment (NET), with pathological response and correlation with other clinicopathological variables such as Ki67, as potential biomarkers for risk-stratification of patients following NET.
Method: 113 postmenopausal patients with ER+, HER2 negative breast cancer were treated with NET for four months. Endpoint was pathological response assessed by a modified Miller Payne scale and the Residual Cancer Burden (RCB) score. Pretherapeutic core biopsies and post therapeutic surgical specimens were assessed centrally for the percentage of sTILs on HE sections according to the International TILs working group guidelines. sTILs association to pathological response were assessed with univariate logistic regression. Odds Ratio (OR) was estimated with a 95 % confidence interval. Correlation of sTILs and Ki67 were tested with Pearson´s correlation coefficient. Changes in sTILs with a paired t-test. Level of significance was set to 5 %.
Results: sTILs concentration increased with mean 6.8 % (p <.0001) during treatment in the assessable patients (range -39 % - 60 %). Forty-four percent had no pathological response as assessed by the modified Miller Payne scale and 11 % had RCB-Class III after NET. Increase in sTILs was significantly associated with poorer pathological response with OR=1.38 (95 % CI: 1.05 - 1.82; p = 0.03) per 10 % increase for no pathological response, and correspondingly OR=1.78 (95 % CI: 1.27 - 2.50; p <.0001) for higher level RCB-class per 10 % increase.
The correlation between pre-therapeutic sTILs and Ki67 was moderate (Pearson 0.4; p = 0.0004), however the association grew stronger post treatment (Pearson 0.5; p <.0001).
Conclusion: Increased sTILs activity during NET was associated with poor treatment response. An increase in sTILs during NET could be considered indictive for potential immunogenic tumours, suggesting that patients with increasing sTIL in residual disease after NET might derive benefit from the addition of immunotherapy.
We found a significant correlation between sTILs and Ki67 levels. Ki67 has been established as a window of opportunity biomarker for antiproliferative response. Combining biomarkers of antiproliferative response such as Ki67 with biomarkers of immunogenetic significance might be important to determine optimal combination of adjuvant therapy. A window of opportunity study with an aromatase inhibitor could show if it is feasible to detect a rise in sTILs early enough to guide adjuvant treatment in the perioperative setting.
Citation Format: Signe Korsgaard Skriver, Maj-Britt Jensen, Ann Soegaard Knoop, Bent Ejlertsen, Anne-Vibeke Laenkholm. Changes in tumour infiltrating lymphocytes during neoadjuvant endocrine therapy and possible clinical implications for guiding therapy [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P4-10-18.
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Affiliation(s)
| | - Maj-Britt Jensen
- 2Danish Breast Cancer Group (DBCG), University of Copenhagen, Copenhagen Ø, Denmark
| | | | - Bent Ejlertsen
- 1Rigshospitalet, University of Copenhagen, Copenhagen Ø, Denmark
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24
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Leung SCY, Nielsen TO, Zabaglo LA, Arun I, Badve SS, Bane AL, Bartlett JMS, Borgquist S, Chang MC, Dodson A, Ehinger A, Fineberg S, Focke CM, Gao D, Gown AM, Gutierrez C, Hugh JC, Kos Z, Laenkholm AV, Mastropasqua MG, Moriya T, Nofech-Mozes S, Osborne CK, Penault-Llorca FM, Piper T, Sakatani T, Salgado R, Starczynski J, Sugie T, van der Vegt B, Viale G, Hayes DF, McShane LM, Dowsett M. Analytical validation of a standardised scoring protocol for Ki67 immunohistochemistry on breast cancer excision whole sections: an international multicentre collaboration. Histopathology 2019; 75:225-235. [PMID: 31017314 DOI: 10.1111/his.13880] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 04/19/2019] [Indexed: 01/12/2023]
Abstract
AIMS The nuclear proliferation marker Ki67 assayed by immunohistochemistry has multiple potential uses in breast cancer, but an unacceptable level of interlaboratory variability has hampered its clinical utility. The International Ki67 in Breast Cancer Working Group has undertaken a systematic programme to determine whether Ki67 measurement can be analytically validated and standardised among laboratories. This study addresses whether acceptable scoring reproducibility can be achieved on excision whole sections. METHODS AND RESULTS Adjacent sections from 30 primary ER+ breast cancers were centrally stained for Ki67 and sections were circulated among 23 pathologists in 12 countries. All pathologists scored Ki67 by two methods: (i) global: four fields of 100 tumour cells each were selected to reflect observed heterogeneity in nuclear staining; (ii) hot-spot: the field with highest apparent Ki67 index was selected and up to 500 cells scored. The intraclass correlation coefficient (ICC) for the global method [confidence interval (CI) = 0.87; 95% CI = 0.799-0.93] marginally met the prespecified success criterion (lower 95% CI ≥ 0.8), while the ICC for the hot-spot method (0.83; 95% CI = 0.74-0.90) did not. Visually, interobserver concordance in location of selected hot-spots varies between cases. The median times for scoring were 9 and 6 min for global and hot-spot methods, respectively. CONCLUSIONS The global scoring method demonstrates adequate reproducibility to warrant next steps towards evaluation for technical and clinical validity in appropriate cohorts of cases. The time taken for scoring by either method is practical using counting software we are making publicly available. Establishment of external quality assessment schemes is likely to improve the reproducibility between laboratories further.
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Affiliation(s)
| | | | | | | | - Sunil S Badve
- Indiana University Simon Cancer Center, Indianapolis, IN, USA
| | - Anita L Bane
- Juravinski Hospital and Cancer Centre, McMaster University, Hamilton, ON, Canada
| | - John M S Bartlett
- Ontario Institute for Cancer Research, Toronto, ON, Canada.,Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, UK
| | - Signe Borgquist
- Division of Oncology and Pathology, Department of Clinical Science, Lund University, Lund, Sweden
| | - Martin C Chang
- Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, Burlington, VT, USA
| | - Andrew Dodson
- Ralph Lauren Centre for Breast Cancer Research, The Royal Marsden Hospital, London, UK
| | - Anna Ehinger
- Department of Clinical Genetics and Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Dongxia Gao
- University of British Columbia, Vancouver, BC, Canada
| | | | - Carolina Gutierrez
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Zuzana Kos
- University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada
| | | | | | | | - Sharon Nofech-Mozes
- University of Toronto Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - C Kent Osborne
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Tammy Piper
- Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, UK
| | | | - Roberto Salgado
- Department of Pathology, GZA-ZNA, Antwerp, Belgium.,Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Jane Starczynski
- Birmingham Heart of England, National Health Service, Birmingham, UK
| | | | | | - Giuseppe Viale
- European Institute of Oncology, Milan, Italy.,University of Milan, Milan, Italy
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
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25
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Asleh K, Lyck Carstensen S, Tykjaer Jørgensen CL, Burugu S, Gao D, Won JR, Jensen MB, Balslev E, Laenkholm AV, Nielsen DL, Ejlertsen B, Nielsen TO. Basal biomarkers nestin and INPP4B predict gemcitabine benefit in metastatic breast cancer: Samples from the phase III SBG0102 clinical trial. Int J Cancer 2018; 144:2578-2586. [PMID: 30411790 DOI: 10.1002/ijc.31969] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 10/04/2018] [Accepted: 10/23/2018] [Indexed: 01/14/2023]
Abstract
In a formal prospective-retrospective analysis of the phase III SBG0102 clinical trial randomizing metastatic breast cancer patients to gemcitabine-docetaxel or to single agent docetaxel, patients with basal-like tumors by PAM50 gene expression had significantly better overall survival in the gemcitabine arm. By immunohistochemistry (IHC), triple negative status was not predictive, but more specific biomarkers have since become available defining basal-like by nestin positivity or loss of inositol-polyphosphate-4-phosphate (INPP4B). Here, we evaluate their capacity to identify which patients benefit from gemcitabine in the metastatic setting. Nestin and INPP4B staining and interpretation followed published methods. A prespecified statistical plan evaluated the primary hypothesis that patients with basal-like breast cancer, defined as "nestin+ or INPP4B-", would have superior overall survival on gemcitabine-docetaxel when compared to docetaxel. Interaction tests, Kaplan-Meier curves and forest plots were used to assess prognostic and predictive capacities of biomarkers relative to treatment. Among 239 cases evaluable for our study, 36 (15%) had been classified as basal-like by PAM50. "Nestin+ or INPP4B-" was observed in 41 (17%) of the total cases and was significantly associated with PAM50 basal-like subtype. Within an estimated median follow-up of 13 years, patients assigned as IHC basal "nestin+ or INPP4B-" had significantly better overall survival on gemcitabine-docetaxel versus docetaxel monotherapy (HR = 0.31, 95%CI: 0.16-0.60), whereas no differences were observed for other patients (HR = 0.99), p-interaction < 0.01. In the metastatic setting, women with IHC basal breast cancers defined as "nestin+ or INPP4B-" have superior overall survival when randomized to gemcitabine-containing chemotherapy compared to docetaxel alone. These findings need to be validated using larger prospective-retrospective phase III clinical trials series.
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Affiliation(s)
- Karama Asleh
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | | | | | - Samantha Burugu
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Dongxia Gao
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Jennifer R Won
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada.,Canadian Immunohistochemistry Quality Control, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | | | - Eva Balslev
- Department of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark
| | | | - Dorte L Nielsen
- Department of Oncology, Herlev and Gentofte Hospital, Herlev, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Copenhagen, Denmark
| | - Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
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26
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Laenkholm AV, Soenderstrup IMH, Jensen MB, Eriksen JO, Thomassen M, Gerdes AM, Rossing M, Brauer HA, Mashadi-Hossein A, Ferree S, Ejlertsen B. Genomic profiling of tumors from patients with germline BRCA mutations. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.1533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | - Maj-Britt Jensen
- The Danish Breast Cancer Cooperative Group, DBCG Secretariat, Rigshospitalet, Copenhagen, Denmark
| | - Jens Ole Eriksen
- Department of Surgical Pathology, Zealand University Hospital, Slagelse, Denmark
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, Copenhagen, Denmark
| | | | | | | | - Bent Ejlertsen
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark
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27
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Kodahl AR, Ehmsen S, Pallisgaard N, Jylling AMB, Jensen JD, Laenkholm AV, Knoop AS, Ditzel HJ. Correlation between circulating cell-free PIK3CA tumor DNA levels and treatment response in patients with PIK3CA-mutated metastatic breast cancer. Mol Oncol 2018. [PMID: 29689598 DOI: 10.1002/1878‐0261.12305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Liquid biopsies focusing on the analysis of cell-free circulating tumor DNA (ctDNA) may have important clinical implications for personalized medicine, including early detection of cancer, therapeutic guidance, and monitoring of recurrence. Mutations in the oncogene, PIK3CA, are frequently observed in breast cancer and have been suggested as a predictive biomarker for PI3K-selective inhibitor treatment. In this study, we analyzed the presence of PIK3CA mutations in formalin-fixed, paraffin-embedded, metastatic tissue and corresponding ctDNA from serum of patients with advanced breast cancer using a highly sensitive, optimized droplet digital PCR (ddPCR) assay. We found 83% of patients with PIK3CA mutation in the metastatic tumor tissue also had detectable PIK3CA mutations in serum ctDNA. Patients lacking the PIK3CA mutation in corresponding serum ctDNA all had nonvisceral metastatic disease. Four patients with detectable PIK3CA-mutated ctDNA were followed with an additional serum sample during oncological treatment. In all cases, changes in PIK3CA ctDNA level correlated with treatment response. Our results showed high concordance between detection of PIK3CA mutations in tumor tissue and in corresponding serum ctDNA and suggest that serum samples from patients with advanced breast cancer and ddPCR may be used for PIK3CA mutation status assessment to complement imaging techniques as an early marker of treatment response.
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Affiliation(s)
| | - Sidse Ehmsen
- Department of Cancer and Inflammation, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | | | | | | | | | - Ann S Knoop
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark
| | - Henrik J Ditzel
- Department of Oncology, Odense University Hospital, Denmark.,Department of Cancer and Inflammation, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.,Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Denmark
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28
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Lundqvist J, Kirkegaard T, Laenkholm AV, Duun-Henriksen AK, Bak M, Feldman D, Lykkesfeldt AE. Williams syndrome transcription factor (WSTF) acts as an activator of estrogen receptor signaling in breast cancer cells and the effect can be abrogated by 1α,25-dihydroxyvitamin D 3. J Steroid Biochem Mol Biol 2018; 177:171-178. [PMID: 28610873 DOI: 10.1016/j.jsbmb.2017.06.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 05/28/2017] [Accepted: 06/06/2017] [Indexed: 12/22/2022]
Abstract
A majority of estrogen receptor positive (ER+) breast cancers are growth stimulated by estrogens. The ability to inhibit the ER signaling pathway is therefore of critical importance in the current treatment of ER+ breast cancers. It has been reported that 1α,25-dihydroxyvitamin D3 down-regulates the expression of the CYP19A1 gene, encoding the aromatase enzyme that catalyzes the synthesis of estradiol. Furthermore, 1α,25-dihydroxyvitamin D3 has also been reported to down-regulate the expression of estrogen receptor α (ERα), the main mediator of ER signaling. This study reports a novel transcription factor critical to 1α,25-dihydroxyvitamin D3-mediated regulation of estrogenic signaling in MCF-7 breast cancer cells. We have investigated the molecular mechanisms for the 1α,25-dihydroxyvitamin D3-mediated down-regulation of CYP19A1 and ERα gene expression in human MCF-7 breast cancer cells and found that Williams syndrome transcription factor (WSTF) plays a key role by binding to the promoters of CYP19A1 and ERα. Although sometimes reported as an inhibitor of gene expression, we found that WSTF acts as an activator of the promoter activity of both CYP19A1 and ERα. Silencing of WSTF by siRNA transfection resulted in decreased aromatase-dependent cell growth as well as decreased ER signaling in the cells. When cells were treated with 1α,25-dihydroxyvitamin D3, WSTF was dissociated from the promoters and the promoter activities of CYP19A1 and ERα were decreased. We have measured the expression of WSTF in ER-positive tumor-samples from breast cancer patients and found that WSTF is expressed in the majority of the investigated samples and that the expression is higher in cancer tissue than in normal tissue. However, we were not able to show any significant association between the WSTF expression in the tumor and the disease free and overall survival in this patient group who have received adjuvant tamoxifen treatment, nor between the WSTF expression and the expression of ERα, progesterone receptor or HER2. The major conclusions of this study are that WSTF acts as an activator of ER signaling in MCF-7 breast cancer cells, that this action can be inhibited by 1α,25-dihydroxyvitamin D3, and that the expression of WSTF is higher in breast cancer tissue than in normal tissue. WSTF may by a new target for treatment of estrogen-dependent breast cancer cell growth.
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Affiliation(s)
- Johan Lundqvist
- Breast Cancer Group, Cell Death and Metabolism, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark; Swedish University of Agricultural Sciences, Department of Biomedical Sciences and Veterinary Public Health, P.O. Box 7028, SE-750 07 Uppsala, Sweden.
| | - Tove Kirkegaard
- Breast Cancer Group, Cell Death and Metabolism, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, Ingemannsvej 48, DK-4200 Slagelse, Denmark
| | - Anne Katrine Duun-Henriksen
- Statistics, Bioinformatics and Registry, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Martin Bak
- Department of Pathology, Odense University Hospital, Odense, DK-5000 Denmark
| | - David Feldman
- Division of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States
| | - Anne E Lykkesfeldt
- Breast Cancer Group, Cell Death and Metabolism, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
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29
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Laenkholm AV, Jensen MB, Eriksen JO, Buckingham W, Ferree S, Nielsen TO, Ejlertsen B. The ability of PAM50 risk of recurrence score to predict 10-year distant recurrence in hormone receptor-positive postmenopausal women with special histological subtypes. Acta Oncol 2018; 57:44-50. [PMID: 29202609 DOI: 10.1080/0284186x.2017.1403044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
INTRODUCTION The Prosigna-PAM50 risk of recurrence (ROR) score has been validated in randomized clinical trials to predict 10-year distant recurrence (DR) in hormone receptor-positive breast cancer. Here, we examine the ability of Prosigna for predicting DR at 10 years in a subgroup of postmenopausal breast cancer patients with special histological subtypes. METHODS Using the population based Danish Breast Cancer Group database, follow-up data were collected on all patients diagnosed from 2000 to 2003 with estrogen receptor (ER)-positive and human epidermal growth factor receptor 2 (HER2) normal breast cancer who by nationwide guidelines were treated with 5 year of endocrine therapy (N = 2558). Among patients with 1 to 3 positive lymph nodes or a tumor size >20 mm, we identified 1570 with invasive ductal carcinoma (IDC) and 89 with special histological subtypes (apocrine, medullary, mucinous, papillary, secretory, tubular, neuroendocrine) who were tested with Prosigna. Fine and Gray models were applied to determine the prognostic value of the Prosigna-PAM50 ROR score for DR special subtypes as compared to IDC. RESULTS Median follow-up for DR was 9.2 year and for OS 15.2 year. The 10-year DR rate for the special subtypes was 9.2% (95% CI: 4.0% to 17.2%) as compared to 13.7% (95% CI: 11.9% to 15.7%) for IDC. The 10-year OS was 74.2% (95% CI: 63.7% to 82.0%) for the special subtypes and 75.4% (95% CI: 73.2% to 77.4%) for IDC. Prosigna showed a statistical significant association of the continuous ROR score with risk of DR for both IDC and the special subtypes (IDC: p < .0001; special subtypes: p = .01). CONCLUSION In the present study, we demonstrated that Prosigna-PAM50 continuous ROR score added significant prognostic information for 10-year DR in postmenopausal patients with special subtypes (tumor size >20 mm or 1 to 3 positive lymph nodes) and ER-positive, HER2-normal early breast cancer.
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Affiliation(s)
| | - Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen, Denmark
| | - Jens Ole Eriksen
- Department of Surgical Pathology, Zealand University Hospital, Slagelse, Denmark
| | | | - Sean Ferree
- NanoString Technologies Inc, Seattle, WA, USA
| | - Torsten O. Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen, Denmark
- Danish Breast Cancer Cooperative Group, Department of Oncology, Rigshospitalet, Copenhagen, Denmark
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30
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Laenkholm AV, Grabau D, Møller Talman ML, Balslev E, Bak Jylling AM, Tabor TP, Johansen M, Brügmann A, Lelkaitis G, Di Caterino T, Mygind H, Poulsen T, Mertz H, Søndergaard G, Bruun Rasmussen B. An inter-observer Ki67 reproducibility study applying two different assessment methods: on behalf of the Danish Scientific Committee of Pathology, Danish breast cancer cooperative group (DBCG). Acta Oncol 2018; 57:83-89. [PMID: 29202622 DOI: 10.1080/0284186x.2017.1404127] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION In 2011, the St. Gallen Consensus Conference introduced the use of pathology to define the intrinsic breast cancer subtypes by application of immunohistochemical (IHC) surrogate markers ER, PR, HER2 and Ki67 with a specified Ki67 cutoff (>14%) for luminal B-like definition. Reports concerning impaired reproducibility of Ki67 estimation and threshold inconsistency led to the initiation of this quality assurance study (2013-2015). The aim of the study was to investigate inter-observer variation for Ki67 estimation in malignant breast tumors by two different quantification methods (assessment method and count method) including measure of agreement between methods. MATERIAL AND METHODS Fourteen experienced breast pathologists from 12 pathology departments evaluated 118 slides from a consecutive series of malignant breast tumors. The staining interpretation was performed according to both the Danish and Swedish guidelines. Reproducibility was quantified by intra-class correlation coefficient (ICC) and Lights Kappa with dichotomization of observations at the larger than (>) 20% threshold. The agreement between observations by the two quantification methods was evaluated by Bland-Altman plot. RESULTS For the fourteen raters the median ranged from 20% to 40% by the assessment method and from 22.5% to 36.5% by the count method. Light's Kappa was 0.664 for observation by the assessment method and 0.649 by the count method. The ICC was 0.82 (95% CI: 0.77-0.86) by the assessment method vs. 0.84 (95% CI: 0.80-0.87) by the count method. CONCLUSION Although the study in general showed a moderate to good inter-observer agreement according to both ICC and Lights Kappa, still major discrepancies were identified in especially the mid-range of observations. Consequently, for now Ki67 estimation is not implemented in the DBCG treatment algorithm.
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Affiliation(s)
| | - Dorthe Grabau
- Department of Pathology, Skåne University Hospital, Lund, Sweden
| | | | - Eva Balslev
- Department of Pathology, Herlev Hospital, Herlev, Denmark
| | | | | | - Morten Johansen
- Department of Pathology, North Denmark Regional Hospital, Hjørring, Denmark
| | - Anja Brügmann
- Department of Pathology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Tina Di Caterino
- Department of Pathology, Hospital of South West Jutland, Esbjerg, Denmark
| | - Henrik Mygind
- Department of Surgical Pathology, Zealand University Hospital, Slagelse, Denmark
| | - Thomas Poulsen
- Department of Pathology, Sygehus Soenderjylland, Sønderborg, Denmark
| | - Henrik Mertz
- Department of Pathology, Regional Hospital of Randers, Randers, Denmark
| | - Gorm Søndergaard
- Department of Pathology, Region Hospital of Viborg, Viborg, Denmark
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31
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Skriver SK, Laenkholm AV, Rasmussen BB, Handler J, Grundtmann B, Tvedskov TF, Christiansen P, Knoop AS, Jensen MB, Ejlertsen B. Neoadjuvant letrozole for postmenopausal estrogen receptor-positive, HER2-negative breast cancer patients, a study from the Danish Breast Cancer Cooperative Group (DBCG). Acta Oncol 2018; 57:31-37. [PMID: 29168427 DOI: 10.1080/0284186x.2017.1401228] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Neoadjuvant endocrine treatment (NET) is a low-toxicity approach to achieve operability in locally advanced breast cancer, and to facilitate breast conservation in early breast cancer, particular in patients with highly estrogen receptor (ER) positive and HER2-negative disease. Here, we report the results obtained by neoadjuvant letrozole in patients with early breast cancer in a phase-II design. MATERIAL AND METHODS A total of 119 postmenopausal women with ER-positive, HER2-negative operable breast cancer were assigned to four months of neoadjuvant letrozole before definitive surgery. Sentinel node or diagnostic fine needle aspiration cytology procedure was performed prior to treatment and the women were assessed prior, at two months, and before surgery with clinical examination, mammography and ultrasonography. Surgical specimens were examined for pathological response. Primary outcome was pathological and clinical response. RESULTS The per protocol population consisted of 112 patients. Clinical response was evaluated in 109 patients and pathological response in 108. Overall a mean decrease in tumor size was 15% (p ≤ .0001). One patient had complete pathological response and 55% of patients had partial pathological response. ER at 100%, ductal subtype, tumor size below 2 cm and lymph node-negative status was significantly associated with a better response to NET and malignancy grade 3 with a poorer response to NET. One patient progressed during treatment and received neoadjuvant chemotherapy. Eight patients received adjuvant chemotherapy due to lack of response. CONCLUSION Neoadjuvant aromatase inhibitor therapy is an acceptable strategy in selected postmenopausal patients with ER-rich and HER2-negative early breast cancer with ductal histology and should be considered when chemotherapy either isn't indicated or feasible.
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Affiliation(s)
| | | | | | - Jürgen Handler
- Department of Breast Surgery, Sygehus Soenderjylland, Aabenraa, Denmark
| | - Bo Grundtmann
- Department of Breast Surgery, Ringsted Sygehus, Ringsted, Denmark
| | | | - Peer Christiansen
- Breast Unit, Aarhus University Hospital/Randers Regional Hospital, Aarhus, Denmark
| | - Ann S. Knoop
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark
| | - Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group Secretariat, Rigshospitalet, Copenhagen, Denmark
| | - Bent Ejlertsen
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark
- Danish Breast Cancer Cooperative Group Secretariat, Rigshospitalet, Copenhagen, Denmark
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Jensen MB, Nielsen TO, Knoop AS, Laenkholm AV, Balslev E, Ejlertsen B. Mortality and recurrence rates among systemically untreated high risk breast cancer patients included in the DBCG 77 trials. Acta Oncol 2018; 57:135-140. [PMID: 29168407 DOI: 10.1080/0284186x.2017.1400181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Following loco-regional treatment for early breast cancer accurate prognostication is essential for communicating benefits of systemic treatment. The aim of this study was to determine time to recurrence and long-term mortality rates in high risk patients according to patient characteristics and subtypes as assigned by immunohistochemistry panels. PATIENTS AND METHODS In November 1977 through January 1983, 2862 patients with tumors larger than 5 cm or positive axillary nodes were included in the DBCG 77 trials. Archival tumor tissue from patients randomly assigned to no systemic treatment was analyzed for ER, PR, Ki67, EGFR and HER2. Intrinsic subtypes were defined as follows: Luminal A, ER or PR >0%, HER2-negative, PR >10% and Ki67 < 14%; Luminal B, ER or PR >0%, (PR ≤10% or HER2-positive or Ki67 ≥ 14%); HER2E, ER 0%, PR 0%, HER2 positive; Core basal, ER 0%, PR 0%, HER2 negative and EGFR positive. Multivariate categorical and fractional polynomials (MFP) models were used to construct prognostic subsets by clinicopathologic characteristics. RESULTS In a multivariate model, mortality rate was significantly associated with age, tumor size, nodal status, invasion, histological type and grade, as well as subtype classification. CONCLUSIONS With 35 years of follow-up, in this population of high-risk patients with no systemic therapy, no subgroup based on a composite prognostic score and/or molecular subtypes could be identified without excess mortality as compared to the background population.
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Affiliation(s)
- Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group (DBCG), Secretariat and Statistical Office, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Torsten O. Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Ann S. Knoop
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Eva Balslev
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group (DBCG), Secretariat and Statistical Office, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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Offersen BV, Ejlertsen B, Balslev E, Flyger H, Gerdes AM, Hansen MK, Hølmich LR, Jensen MB, Kristensen B, Laenkholm AV, Mouridsen HT, Nielsen MH, Overgaard J, Tuxen M, Vejborg I, Christiansen P. Is DBCG abreast of new developments? Acta Oncol 2018; 57:1-2. [PMID: 29297250 DOI: 10.1080/0284186x.2017.1408960] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Birgitte V. Offersen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Group (DBCG) Secretariat and Statistical Office, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Oncology, Copenhagen University Rigshospitalet, Copenhagen, Denmark
| | - Eva Balslev
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev University Hospital, Herlev, Denmark
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Copenhagen University Rigshospitalet, Copenhagen, Denmark
| | | | - Lisbet R. Hølmich
- Department of Plastic Surgery, Herlev University Hospital, Herlev, Denmark
| | - Maj-Britt Jensen
- Danish Breast Cancer Group (DBCG) Secretariat and Statistical Office, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bent Kristensen
- Department of Clinical Physiology & Nuclear Medicine, Herlev University Hospital, Herlev, Denmark
| | | | - Henning T. Mouridsen
- Danish Breast Cancer Group (DBCG) Secretariat and Statistical Office, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mette H. Nielsen
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Malgorzata Tuxen
- Department of Oncology, Herlev University Hospital, Herlev, Denmark
| | - Ilse Vejborg
- Department of Radiology, Copenhagen University Rigshospitalet, Copenhagen, Denmark
| | - Peer Christiansen
- Breast Unit, Aarhus University Hospital/Randers Regional Hospital, Aarhus, Denmark
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Jensen MB, Laenkholm AV, Offersen BV, Christiansen P, Kroman N, Mouridsen HT, Ejlertsen B. The clinical database and implementation of treatment guidelines by the Danish Breast Cancer Cooperative Group in 2007-2016. Acta Oncol 2018; 57:13-18. [PMID: 29202621 DOI: 10.1080/0284186x.2017.1404638] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Since 40 years, Danish Breast Cancer Cooperative Group (DBCG) has provided comprehensive guidelines for diagnosis and treatment of breast cancer. This population-based analysis aimed to describe the plurality of modifications introduced over the past 10 years in the national Danish guidelines for the management of early breast cancer. By use of the clinical DBCG database we analyze the effectiveness of the implementation of guideline revisions in Denmark. METHODS From the DBCG guidelines we extracted modifications introduced in 2007-2016 and selected examples regarding surgery, radiotherapy (RT) and systemic treatment. We assessed introduction of modifications from release on the DBCG webpage to change in clinical practice using the DBCG clinical database. RESULTS Over a 10-year period data from 48,772 patients newly diagnosed with malignant breast tumors were entered into DBCG's clinical database and 42,197 of these patients were diagnosed with an invasive carcinoma following breast conserving surgery (BCS) or mastectomy. More than twenty modifications were introduced in the guidelines. Implementations, based on prospectively collected data, varied widely; exemplified with around one quarter of the patients not treated according to a specific guideline within one year from the introduction, to an almost immediate full implantation. CONCLUSIONS Modifications of the DBCG guidelines were generally well implemented, but the time to full implementation varied from less than one year up to around five years. Our data is registry based and does not allow a closer analysis of the causes for delay in implementation of guideline modifications.
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Affiliation(s)
- Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | - Peer Christiansen
- Breast Unit, Aarhus University Hospital/Randers Regional Hospital, Aarhus, Denmark
| | - Niels Kroman
- Department of Breast Surgery, Copenhagen University Hospital Herlev, Copenhagen, Denmark
| | - Henning T. Mouridsen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Mouridsen H, Christiansen P, Jensen MB, Laenkholm AV, Flyger H, Offersen B, Vejborg I, Ejlertsen B. Provision of data from the clinical database and of biological material from the tumor bank of the Danish Breast Cancer Cooperative Group 2008-2017. Acta Oncol 2018; 57:154-156. [PMID: 29202619 DOI: 10.1080/0284186x.2017.1403039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Henning Mouridsen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Peer Christiansen
- Breast Unit, Aarhus University Hospital/Randers Regional Hospital, Aarhus, Denmark
| | - Maj-Britt Jensen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Henrik Flyger
- Department Breast Surgery, Herlev University Hospital, Herlev, Denmark
| | | | - Ilse Vejborg
- Department of Radiology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group (DBCG) Secretariat and Statistical Office, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Holten-Rossing H, Talman MLM, Jylling AMB, Laenkholm AV, Kristensson M, Vainer B. Application of automated image analysis reduces the workload of manual screening of sentinel lymph node biopsies in breast cancer. Histopathology 2017; 71:866-873. [DOI: 10.1111/his.13305] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 06/30/2017] [Accepted: 07/03/2017] [Indexed: 01/16/2023]
Affiliation(s)
- Henrik Holten-Rossing
- Department of Pathology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| | - Maj-Lis Møller Talman
- Department of Pathology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| | | | | | | | - Ben Vainer
- Department of Pathology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
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Knoop AS, Andersson M, Bjerre KD, Zang Y, Schnabel CA, Laenkholm AV. P95HER2 as a predictive marker in the phase III randomized HERNATA trial of trastuzumab and chemotherapy as first-line therapy to metastatic or locally advanced HER2-positive breast cancer. J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Ann S. Knoop
- Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | | | - Yi Zang
- bioTheranostics Inc, a bioMérieux company, San Diego, CA
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Lassen UN, Knudsen S, Hertel PB, Kumler I, Nielsen D, Ejlertsen B, Soerensen MM, Brunner N, Buhl UH, Madsen MW, Buhl IK, Hansen A, Jensen T, Balslev E, Askaa J, Vestlev PM, Laenkholm AV, Jensen PB. Use of microRNA to identify stage IV breast cancer patients to be targeted with phospholipase A2 disrupted cisplatin carrying liposomes: An ongoing phase I trial. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.tps1139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | | | | | - Dorte Nielsen
- Department of Oncology, Herlev Hospital, Herlev, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Copenhagen, Denmark
| | | | - Nils Brunner
- Section for Molecular Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | | | | | | | | | | | - Eva Balslev
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | - Jon Askaa
- Medical Prognosis Institute, Hoersholm, Denmark
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Bjerre C, Knoop A, Bjerre K, Larsen MS, Henriksen KL, Lyng MB, Ditzel HJ, Rasmussen BB, Brünner N, Ejlertsen B, Laenkholm AV. Association of tissue inhibitor of metalloproteinases-1 and Ki67 in estrogen receptor positive breast cancer. Acta Oncol 2013. [PMID: 23205744 DOI: 10.3109/0284186x.2012.734922] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The role of tissue inhibitor of metalloproteinases-1 (TIMP-1) in estrogen receptor (ER) positive breast cancer remains to be fully elucidated. We evaluated TIMP-1 as a prognostic marker in patients treated with adjuvant tamoxifen and investigated TIMP-1s association with Ki67 and ER/progesterone receptor (PR)/human epidermal growth factor receptor 2 (HER2) profiles. MATERIAL AND METHODS TIMP-1 expression was evaluated by immunohistochemistry (IHC) on formalin fixed paraffin embedded primary tumor tissue in two independent cohorts comprised of 236 and 192 patients, respectively. RESULTS No differences in disease free survival (HR 0.98; 95% CI 0.63-1.53; p = 0.92) and overall survival (HR 0.94; 95% CI 0.63-1.43; p = 0.79) were observed according to TIMP-1 status. A significant negative association between TIMP-1 and Ki67 was identified (p = 0.015). TIMP-1 expression did not differ significantly according to ER/PR/HER2 profiles. When analyzed as separate variables PR and HER2 status tended to have a positive but non-significant association with TIMP-1 (PR: p = 0.08; OR 2.54; 95% CI 0.91-7.10, HER2: p = 0.08; OR 0.48; 95% CI 0.21-1.08) whereas ER status was not associated with TIMP-1 expression (p = 0.48; OR 0.68; 95% CI 0.23-1.99). CONCLUSION TIMP-1 does not appear to be prognostic in breast cancer patients receiving adjuvant tamoxifen. We identified a negative association between TIMP-1 and Ki67. We did not confirm our previous in vitro findings of a negative association between TIMP-1 and PR.
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Affiliation(s)
- Christina Bjerre
- Sino-Danish Breast Cancer Research Centre at Section of Pathobiology, Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Gravgaard KH, Lyng MB, Laenkholm AV, Søkilde R, Nielsen BS, Litman T, Ditzel HJ. The miRNA-200 family and miRNA-9 exhibit differential expression in primary versus corresponding metastatic tissue in breast cancer. Breast Cancer Res Treat 2012; 134:207-17. [PMID: 22294488 DOI: 10.1007/s10549-012-1969-9] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2011] [Accepted: 01/18/2012] [Indexed: 12/12/2022]
Abstract
Metastases are the major cause of cancer-related deaths, but the mechanisms of the metastatic process remain poorly understood. In recent years, the involvement of microRNAs (miRNAs) in cancer has become apparent, and the objective of this study was to identify miRNAs associated with breast cancer progression. Global miRNA expression profiling was performed on 47 tumor samples from 14 patients with paired samples from primary breast tumors and corresponding lymph node and distant metastases using LNA-enhanced miRNA microarrays. The identified miRNA expression alterations were validated by real-time PCR, and tissue distribution of the miRNAs was visualized by in situ hybridization. The patients, in which the miRNA profile of the primary tumor and corresponding distant metastasis clustered in the unsupervised cluster analysis, showed significantly shorter intervals between the diagnosis of the primary tumor and distant metastasis (median 1.6 years) compared to those that did not cluster (median 11.3 years) (p<0.003). Fifteen miRNAs were identified that were significantly differentially expressed between primary tumors and corresponding distant metastases, including miR-9, miR-219-5p and four of the five members of the miR-200 family involved in epithelial-mesenchymal transition. Tumor expression of miR-9 and miR-200b were confirmed using in situ hybridization, which also verified higher expression of these miRNAs in the distant metastases versus corresponding primary tumors. Our results demonstrate alterations in miRNA expression at different stages of disease progression in breast cancer, and suggest a direct involvement of the miR-200 family and miR-9 in the metastatic process.
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Affiliation(s)
- Karina H Gravgaard
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, J. B. Winsloewsvej 25, 5000 Odense C, Denmark
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Jensen JD, Knoop A, Laenkholm AV, Grauslund M, Jensen MB, Santoni-Rugiu E, Andersson M, Ewertz M. PIK3CA mutations, PTEN, and pHER2 expression and impact on outcome in HER2-positive early-stage breast cancer patients treated with adjuvant chemotherapy and trastuzumab. Ann Oncol 2012; 23:2034-2042. [PMID: 22172323 DOI: 10.1093/annonc/mdr546] [Citation(s) in RCA: 110] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND This study was conducted to determine the frequency of PIK3CA mutations and human epidermal growth factor receptor-2 (HER2) phosphorylation status (pHER2-Tyr1221/1222) and if PIK3CA, phosphatase and tensin homolog (PTEN), or pHER2 has an impact on outcome in HER2-positive early-stage breast cancer patients treated with adjuvant chemotherapy and trastuzumab. PATIENTS AND METHODS Two hundred and forty HER2-positive early-stage breast cancer patients receiving adjuvant treatment (cyclophosphamide 600 mg/m2, epirubicin 60 mg/m2, and fluorouracil 600 mg/m2) before administration of 1 year trastuzumab were assessable. PTEN and pHER2 expression were assessed by immunohistochemistry. PIK3CA mutations (exons 9 and 20) were determined by pyrosequencing. RESULTS Five-year overall survival (OS) and invasive disease-free survival were 87.8% and 81.0%, respectively. Twenty-six percent of patients had a PIK3CA mutation, 24% were PTEN low, 45% pHER2 high, and 47% patients had increased PI3K pathway activation (PTEN low and/or PIK3CA mutation). No significant correlations were observed between the clinicopathological variables and PIK3CA, PTEN, and pHER2 status. In both univariate and multivariate analyses, patients with PIK3CA mutations or high PI3K pathway activity had a significant worse OS [multivariate: hazard ratio (HR) 2.14, 95% confidence interval (CI) 1.01-4.51, P=0.046; and HR 2.35, 95% CI 1.10-5.04, P=0.03]. CONCLUSION Patients with PIK3CA mutations or increased PI3K pathway activity had a significantly poorer survival despite adequate treatment with adjuvant chemotherapy and trastuzumab.
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Affiliation(s)
- J D Jensen
- Department of Oncology, Odense University Hospital, Odense; Institute of Clinical Research, University of Southern Denmark, Odense.
| | - A Knoop
- Department of Oncology, Odense University Hospital, Odense; Institute of Clinical Research, University of Southern Denmark, Odense
| | - A V Laenkholm
- Department of Pathology, Slagelse Hospital, Slagelse
| | - M Grauslund
- Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Copenhagen
| | - M B Jensen
- Danish Breast Cancer Cooperative Group Data Center, Copenhagen
| | - E Santoni-Rugiu
- Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Copenhagen
| | - M Andersson
- Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - M Ewertz
- Department of Oncology, Odense University Hospital, Odense; Institute of Clinical Research, University of Southern Denmark, Odense
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Larsen MS, Bjerre K, Lykkesfeldt AE, Giobbie-Hurder A, Laenkholm AV, Henriksen KL, Ejlertsen B, Rasmussen BB. Activated HER-receptors in predicting outcome of ER-positive breast cancer patients treated with adjuvant endocrine therapy. Breast 2012; 21:662-8. [PMID: 22854050 DOI: 10.1016/j.breast.2012.07.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2012] [Revised: 06/28/2012] [Accepted: 07/04/2012] [Indexed: 01/13/2023] Open
Abstract
The four human epidermal growth factor receptors (HER1-4) are involved in growth stimulation and may play a role in endocrine resistance. The receptors form dimers, leading to activation by mutual phosphorylation. Our purpose was to explore the role of the activated receptors (pHER1, pHER2, pHER3) in endocrine treated breast cancer in terms of co-expression and association with disease-free survival (DFS) in 1062 patients with ER-positive tumors. Furthermore, HER2 amplification was evaluated. We found positive associations between the phosphorylated receptors. pHER1 and pHER3 were co-expressed with one or two of the other activated receptors in 85% and 89% of tumors, respectively, whereas pHER2 was co-expressed with the other activated receptors in 54% of tumors. Except for HER2, which was associated with poor prognosis, none of the remaining markers were associated with DFS. However, frequent co-expression indicates a role of the other HER-family members in activation of HER2.
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Affiliation(s)
- Mathilde S Larsen
- Department of Pathology, Herlev Hospital, Herlev Ringvej 75, 2730 Herlev, Denmark.
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Lund RR, Terp MG, Laenkholm AV, Jensen ON, Leth-Larsen R, Ditzel HJ. Quantitative proteomics of primary tumors with varying metastatic capabilities using stable isotope-labeled proteins of multiple histogenic origins. Proteomics 2012; 12:2139-48. [PMID: 22623409 DOI: 10.1002/pmic.201100490] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2011] [Revised: 03/14/2012] [Accepted: 03/21/2012] [Indexed: 12/11/2022]
Abstract
The development of metastasis is a complex, multistep process that remains poorly defined. To identify proteins involved in the colonization phase of the metastatic process, we compared the proteome of tumors derived from inoculation of a panel of isogenic human cancer cell lines with different metastatic capabilities into the mammary fat pad of immunodeficient mice. Using a protein standard generated by SILAC-labeling, a total of 675 proteins were identified and 30 were differentially expressed between at least two of the tumors. The protein standard contained the proteomes of seven cell lines from multiple histogenic origins and displayed superior features compared to standard super-SILAC. The expression of some proteins correlated with metastatic capabilities, such as myosin-9 (nonmuscle myosin II A) and L-lactate dehydrogenase A, while the expression of elongation factor tu correlated inversely to metastatic capabilities. The expression of these proteins was biochemically validated, and expression of myosin-9 in clinical breast cancer samples was further shown to be altered in primary tumors versus corresponding lymph node metastasis. Our study demonstrates an improved strategy for quantitative comparison of an unlimited number of tumor tissues, and provides novel insights into key proteins associated with the colonization phase of metastasis formation.
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Affiliation(s)
- Rikke Raaen Lund
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
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Laenkholm AV, Knoop A, Ejlertsen B, Rudbeck T, Jensen MB, Müller S, Lykkesfeldt AE, Rasmussen BB, Nielsen KV. ESR1 gene status correlates with estrogen receptor protein levels measured by ligand binding assay and immunohistochemistry. Mol Oncol 2012; 6:428-36. [PMID: 22626971 DOI: 10.1016/j.molonc.2012.04.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2012] [Accepted: 04/30/2012] [Indexed: 01/13/2023] Open
Abstract
The Estrogen Receptor (ER) is an established predictive marker for the selection of adjuvant endocrine treatment in early breast cancer. During the 1990s Immunohistochemistry (IHC) replaced cytosol based assays for determination of ER status. This study examined the association between ER protein level determined by two different methods and ESR1 gene copy number. From 289 primary high-risk breast cancer patients, randomized in the Danish Breast Cancer Cooperative Group (DBCG) 77C trial, results from cytosolic ER levels were available from ligand binding assays. Archival tumor tissue was retrieved from 257 patients. ESR1/CEN-6 ratio was analyzed successfully by Fluorescence In Situ Hybridization (FISH) in 220 (86%) patients. ESR1 amplification (ESR1/CEN-6 ≥ 2.00) was observed in 23% of the patients and ESR1 deletion (ESR1/CEN-6 < 0.80) was observed in 32%. Further, we identified ESR1 gain (ratio ESR1/CEN-6 from 1.30 to 1.99) in 19% of the patients. A positive correlation of ESR1 FISH with both ER-cytosol and ER IHC was found (p < 0.0001). Amplification and gain of the ESR1 gene are associated with higher ER protein content measured by ligand binding assay and a more intense nuclear staining by IHC compared to tumors with normal ESR1 gene status. Major variations in ER measured by ligand binding assay and IHC are observed within all ESR1 copy number subgroups and other mechanisms than gene copy number seem to contribute to the ER protein content in the tumors.
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Atkinson R, Mollerup J, Laenkholm AV, Verardo M, Hawes D, Commins D, Engvad B, Correa A, Ehlers CC, Nielsen KV. Effects of the change in cutoff values for human epidermal growth factor receptor 2 status by immunohistochemistry and fluorescence in situ hybridization: a study comparing conventional brightfield microscopy, image analysis-assisted microscopy, and interobserver variation. Arch Pathol Lab Med 2011; 135:1010-6. [PMID: 21809992 DOI: 10.5858/2010-0462-oar] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
CONTEXT New guidelines for HER2 testing have been introduced. OBJECTIVES To evaluate the difference in HER2 assessment after introduction of new cutoff levels for both immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) and to compare interobserver agreement and time to score between image analysis and conventional microscopy. DESIGN Samples from 150 patients with breast cancer were scored by 7 pathologists using conventional microscopy, with a cutoff of both 10% and 30% IHC-stained cells, and using automated microscopy with image analysis. The IHC results were compared individually and to HER2 status as determined by FISH, using both the approved cutoff of 2.0 and the recently introduced cutoff of 2.2. RESULTS High concordance was found in IHC scoring among the 7 pathologists. The 30% cutoff led to slightly fewer positive IHC observations. Introduction of a FISH equivocal zone affected 4% of the FISH scores. If cutoff for FISH is kept at 2.0, no difference in patient selection is found between the 10% and the 30% IHC cutoff. Among the 150 breast cancer samples, the new 30% IHC and 2.2 FISH cutoff levels resulted in one case without a firm diagnosis because both IHC and FISH were equivocal. Automated microscopy and image analysis-assisted IHC led to significantly better interobserver agreement among the 7 pathologists, with an increase in mean scoring time of only about 30 seconds per slide. CONCLUSIONS The change in cutoff levels led to a higher concordance between IHC and FISH, but fewer samples were classified as HER2 positive.
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Affiliation(s)
- Roscoe Atkinson
- Department of Pathology, University of Southern California, Los Angeles, USA
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Dupont Jensen J, Laenkholm AV, Knoop A, Ewertz M, Bandaru R, Liu W, Hackl W, Barrett JC, Gardner H. PIK3CA mutations may be discordant between primary and corresponding metastatic disease in breast cancer. Clin Cancer Res 2010; 17:667-77. [PMID: 20940279 DOI: 10.1158/1078-0432.ccr-10-1133] [Citation(s) in RCA: 159] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE PIK3CA mutations are frequent in breast cancer and activate the PI3K/Akt pathway. Unexpectedly, PIK3CA mutation appears in general to be associated with better outcome. In a cohort of patients where both primary and metastatic lesions were available, the objective was to assess changes in PIK3CA mutations. We wished to discern whether selective pressures occur and the influence of PIK3CA mutation on time to recurrence. EXPERIMENTAL DESIGN Formalin-fixed paraffin-embedded tumor blocks were obtained from 104 patients with paired samples from primary tumors and corresponding asynchronous metastatic breast tumors. Samples were analyzed for PIK3CA mutations (exons 9 and 20) as well as immunohistochemical evaluation for PTEN, pAKT, Ki67, ER, and HER2. RESULTS PIK3CA mutation was detected in 45% of the primary tumors. Overall, there was a net gain in mutation in metastatic disease, to 53%; nonetheless, there were instances where metastases were wild type in patients with PIK3CA mutant primary tumors. Laser capture microdissection on a subset of cases revealed microheterogeneity for PIK3CA mutational status in the primary tumor. PIK3CA mutants overall showed a significantly longer time to first recurrence than wild type cases (P = 0.03). CONCLUSION PIK3CA mutations occur at high frequency in primary and metastatic breast cancer; these may not necessarily confer increased aggressiveness as mutants had a longer time to recurrence. Because PIK3CA status quite frequently changes between primary and metastatic disease, it emphasizes the necessity of assessing the PIK3CA status in the metastatic lesion for selection of PIK3CA inhibitor therapy.
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Engvad B, Laenkholm AV, Schwartz W, Bak M. [Fine needle aspiration cytology of mammography screening]. Ugeskr Laeger 2009; 171:2379-2382. [PMID: 19732519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
INTRODUCTION In the year 2000 a quality assurance programme for the preoperative breast diagnostics was introduced in Denmark. The programme was based on the "European guidelines for quality assurance in breast cancer screening and diagnosis" where - among other measures - five cytological diagnostic classes were introduced. The aim of this study was to evaluate the quality assurance programme in a screening population to determine whether fine needle aspiration cytology (FNAC) as first choice remains a useful tool in the preoperative diagnostics, or if needle core biopsy should be the first-choice treatment. MATERIAL AND METHODS 767 women had FNAC performed from a total of 783 lesions at the Mammography Clinic, University Hospital Odense. All FNACs were compared with the final histology diagnosis. Nine statistical parameters were calculated according to the European guidelines. RESULTS A total of 66% of the 783 FNACs had a malignant cytology diagnosis, which in 99% of the cases turned out to be the correct diagnosis. Four lesions were false positives all of which represented benign proliferative breast diseases. The surgical procedures in these cases were either excisional biopsy or lumpectomy. The values of eight of the nine mutually dependent statistical parameters of quality scored within the recommended threshold values. Specificity was the only parameter that fell outside the recommended threshold values. CONCLUSION Although specificity in our study is lower than recommended, we find that the use of FNAC as first-choice in triple diagnostics is a useful tool.
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Affiliation(s)
- Birte Engvad
- Afdeling for Klinisk Patologi, Odense Universitetshospital, DK-5000 Odense C.
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Leth-Larsen R, Lund R, Hansen HV, Laenkholm AV, Tarin D, Jensen ON, Ditzel HJ. Metastasis-related plasma membrane proteins of human breast cancer cells identified by comparative quantitative mass spectrometry. Mol Cell Proteomics 2009; 8:1436-49. [PMID: 19321434 DOI: 10.1074/mcp.m800061-mcp200] [Citation(s) in RCA: 95] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The spread of cancer cells from a primary tumor to form metastasis at distant sites is a complex multistep process. The cancer cell proteins and plasma membrane proteins in particular involved in this process are poorly defined, and a study of the very early events of the metastatic process using clinical samples or in vitro assays is not feasible. We have used a unique model system consisting of two isogenic human breast cancer cell lines that are equally tumorigenic in mice; but although one gives rise to metastasis, the other disseminates single cells that remain dormant at distant organs. Membrane purification and comparative quantitative LC-MS/MS proteomics identified 13 membrane proteins that were expressed at higher levels and three that were underexpressed in the metastatic compared with the non-metastatic cell line from a total of 1919 identified protein entries. Among the proteins were ecto-5'-nucleotidase (CD73), NDRG1, integrin beta1, CD44, CD74, and major histocompatibility complex class II proteins. The altered expression levels of proteins identified by LC-MS/MS were validated using flow cytometry, Western blotting, and immunocyto- and immunohistochemistry. Analysis of clinical breast cancer biopsies demonstrated a significant correlation between high ecto-5'-nucleotidase and integrin beta1 expression and poor outcome, measured as tumor spread or distant recurrence within a 10-year follow-up. Further the tissue analysis suggested that NDRG1, HLA-DRalpha, HLA-DRbeta, and CD74 were associated with the ER(-)/PR(-) phenotype represented by the two cell lines. The study demonstrates a quantitative and comparative proteomics strategy to identify clinically relevant key molecules in the early events of metastasis, some of which may prove to be potential targets for cancer therapy.
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Affiliation(s)
- Rikke Leth-Larsen
- Medical Biotechnology Center, Institute of Medical Biology, University of Southern Denmark, Winsloewparken 25.3, 5000 Odense C, Denmark
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Frogne T, Laenkholm AV, Lyng MB, Henriksen KL, Lykkesfeldt AE. Determination of HER2 phosphorylation at tyrosine 1221/1222 improves prediction of poor survival for breast cancer patients with hormone receptor-positive tumors. Breast Cancer Res 2009; 11:R11. [PMID: 19239686 PMCID: PMC2687716 DOI: 10.1186/bcr2230] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2008] [Revised: 01/29/2009] [Accepted: 02/24/2009] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION High expression of total HER2 protein confers poor prognosis for breast cancer patients. HER2 is a member of the HER family consisting of four receptors, HER1 to HER4. HER receptor activity is regulated by a variety of mechanisms, and phosphorylation of the C-terminal part of the HER receptors is a marker for active signaling. The importance of phosphorylation and thereby activation of the HER1 to HER4 receptors, however, has not been investigated concomitantly in breast tumors. In the present study we examined the importance of active HER signaling in breast tumor biopsies and paired metastases, by evaluating the expression of phosphorylated HER1, HER2, HER3, Erk, Akt and the total level of HER4 and HER2. METHODS Immunohistochemical analysis was performed on 268 primary breast tumors and 30 paired metastatic lesions from postmenopausal women with hormone receptor-positive breast tumors, who had received adjuvant tamoxifen therapy. The observed protein expression levels were analyzed for co-expression, for correlation to clinicopathological parameters and for prognostic value in relation to disease-free survival and overall survival. Lastly, the difference between protein levels in primary tumors versus metastasis was evaluated. RESULTS In the primary tumors, 8%, 18%, 14% and 15% of cases were scored positive for total HER2, pHER1, pHER2 and pHER3 expression, respectively. HER4 was expressed with strong intensity in 68% and at moderate intensity in 29% of cases. The activated forms of Akt and Erk were quite uniformly expressed in the categories; negative, moderate or strong. In univariate analysis, expression of total HER2, pHER1, pHER2 and pHER3 was significantly associated with poor disease-free survival. Strong HER4 expression was associated with prolonged disease-free as well as with overall survival. Expression of pAkt and pErk was not correlated with survival. In multivariate analysis, pHER2 expression was clearly an independent marker for poor disease-free survival and overall survival when tested against tumor size, tumor grade, nodal status and HER2. Lastly, comparison of HER receptor expression in metastatic versus primary tumors showed a significant increase in expression of pHER1 and pHER3 in the metastases. CONCLUSIONS In hormone receptor-positive breast cancer, determination of pHER2 yields additional prognostic information about poor prognosis compared with the current clinical standard for measuring HER2.
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Affiliation(s)
- Thomas Frogne
- Department of Tumor Endocrinology, Institute of Cancer Biology, Danish Cancer Society, Strandboulevarden 49, Copenhagen, Denmark.
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