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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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2
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Pradeep CR, Zeisel A, Köstler WJ, Lauriola M, Jacob-Hirsch J, Haibe-Kains B, Amariglio N, Ben-Chetrit N, Emde A, Solomonov I, Neufeld G, Piccart M, Sagi I, Sotiriou C, Rechavi G, Domany E, Desmedt C, Yarden Y. Correction: Modeling invasive breast cancer: growth factors propel progression of HER2-positive premalignant lesions. Oncogene 2024:10.1038/s41388-024-02990-w. [PMID: 38418546 DOI: 10.1038/s41388-024-02990-w] [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: 03/01/2024]
Affiliation(s)
- C -R Pradeep
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
- Department of Systems Biology, The University of Texas MD Anderson Cancer Centre, Houston, TX, USA
| | - A Zeisel
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - W J Köstler
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
- Clinical Division of Oncology, Department of Medicine 1 and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - M Lauriola
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - J Jacob-Hirsch
- Department of Pediatric Hemato-Oncology and Functional Genomics, The Chaim Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - B Haibe-Kains
- Institut Jules Bordet, Translational Research Unit, Brussels, Belgium
- Machine Learning Group, Université Libre de Bruxelles, Brussels, Belgium
| | - N Amariglio
- Department of Pediatric Hemato-Oncology and Functional Genomics, The Chaim Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - N Ben-Chetrit
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - A Emde
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - I Solomonov
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | - G Neufeld
- Cancer Research and Vascular Biology Center, The Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - M Piccart
- Institut Jules Bordet, Translational Research Unit, Brussels, Belgium
| | - I Sagi
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | - C Sotiriou
- Institut Jules Bordet, Translational Research Unit, Brussels, Belgium
| | - G Rechavi
- Department of Pediatric Hemato-Oncology and Functional Genomics, The Chaim Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - E Domany
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - C Desmedt
- Institut Jules Bordet, Translational Research Unit, Brussels, Belgium
| | - Y Yarden
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
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3
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De Caluwe A, Romano E, Poortmans P, Gombos A, Agostinetto E, Marta GN, Denis Z, Drisis S, Vandekerkhove C, Desmet A, Philippson C, Craciun L, Veys I, Larsimont D, Paesmans M, Van Gestel D, Salgado R, Sotiriou C, Piccart-Gebhart M, Ignatiadis M, Buisseret L. First-in-human study of SBRT and adenosine pathway blockade to potentiate the benefit of immunochemotherapy in early-stage luminal B breast cancer: results of the safety run-in phase of the Neo-CheckRay trial. J Immunother Cancer 2023; 11:e007279. [PMID: 38056900 PMCID: PMC10711977 DOI: 10.1136/jitc-2023-007279] [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] [Accepted: 10/20/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Luminal B breast cancer (BC) presents a worse prognosis when compared with luminal A BC and exhibits a lower sensitivity to chemotherapy and a lower immunogenicity in contrast to non-luminal BC subtypes. The Neo-CheckRay clinical trial investigates the use of stereotactic body radiation therapy (SBRT) directed to the primary tumor in combination with the adenosine pathway inhibitor oleclumab to improve the response to neo-adjuvant immuno-chemotherapy in luminal B BC. The trial consists of a safety run-in followed by a randomized phase II trial. Here, we present the results of the first-in-human safety run-in. METHODS The safety run-in was an open-label, single-arm trial in which six patients with early-stage luminal B BC received the following neo-adjuvant regimen: paclitaxel q1w×12 → doxorubicin/cyclophosphamide q2w×4; durvalumab (anti-programmed cell death receptor ligand 1 (PD-L1)) q4w×5; oleclumab (anti-CD73) q2w×4 → q4w×3 and 3×8 Gy SBRT to the primary tumor at week 5. Surgery must be performed 2-6 weeks after primary systemic treatment and adjuvant therapy was given per local guidelines, RT boost to the tumor bed was not allowed. Key inclusion criteria were: luminal BC, Ki67≥15% or histological grade 3, MammaPrint high risk, tumor size≥1.5 cm. Primary tumor tissue samples were collected at three timepoints: baseline, 1 week after SBRT and at surgery. Tumor-infiltrating lymphocytes, PD-L1 and CD73 were evaluated at each timepoint, and residual cancer burden (RCB) was calculated at surgery. RESULTS Six patients were included between November 2019 and March 2020. Median age was 53 years, range 37-69. All patients received SBRT and underwent surgery 2-4 weeks after the last treatment. After a median follow-up time of 2 years after surgery, one grade 3 adverse event (AE) was reported: pericarditis with rapid resolution under corticosteroids. No grade 4-5 AE were documented. Overall cosmetical breast evaluation after surgery was 'excellent' in four patients and 'good' in two patients. RCB results were 2/6 RCB 0; 2/6 RCB 1; 1/6 RCB 2 and 1/6 RCB 3. CONCLUSIONS This novel treatment combination was considered safe and is worth further investigation in a randomized phase II trial. TRIAL REGISTRATION NUMBER NCT03875573.
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Affiliation(s)
- Alex De Caluwe
- Radiation Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Emanuela Romano
- Medical Oncology, Center for Cancer Immunotherapy, Institut Curie, Paris, France
| | - Philip Poortmans
- Radiation Oncology, Iridium Network and University of Antwerp, Antwerpen, Belgium
| | - Andrea Gombos
- Medical Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Elisa Agostinetto
- Clinical Trials Support Unit (CTSU), Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Bruxelles, Belgium
| | - Guilherme Nader Marta
- Clinical Trials Support Unit (CTSU), Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Bruxelles, Belgium
| | - Zoe Denis
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, Bruxelles, Belgium
| | - Stylianos Drisis
- Radiology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Christophe Vandekerkhove
- Medical Physics, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Antoine Desmet
- Radiation Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Catherine Philippson
- Radiation Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Ligia Craciun
- Pathology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Isabelle Veys
- Surgery, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Denis Larsimont
- Pathology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Marianne Paesmans
- Clinical Trials Support Unit (CTSU), Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Bruxelles, Belgium
| | - Dirk Van Gestel
- Radiation Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | | | - Christos Sotiriou
- Medical Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Martine Piccart-Gebhart
- Medical Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Michail Ignatiadis
- Medical Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
| | - Laurence Buisseret
- Medical Oncology, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Bruxelles, Belgium
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4
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Joaquin Garcia A, Rediti M, Venet D, Majjaj S, Kammler R, Munzone E, Gianni L, Thürlimann B, Laáng I, Colleoni M, Loi S, Viale G, Regan MM, Buisseret L, Rothé F, Sotiriou C. Differential Benefit of Metronomic Chemotherapy Among Triple-Negative Breast Cancer Subtypes Treated in the IBCSG Trial 22-00. Clin Cancer Res 2023; 29:4908-4919. [PMID: 37733800 DOI: 10.1158/1078-0432.ccr-23-1267] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 04/29/2023] [Revised: 07/19/2023] [Accepted: 09/19/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE To explore whether specific triple-negative breast cancer (TNBC) molecular subtypes are predictive for a benefit from maintenance low-dose cyclophosphamide and methotrexate (CM) in the adjuvant IBCSG 22-00 phase III clinical trial. EXPERIMENTAL DESIGN RNA sequencing was performed on a selection of 347 TNBC formalin-fixed paraffin-embedded (FFPE) tumor samples following a case-cohort-like sampling. TNBC subtypes were computed on gene expression data. The association between TNBC subtypes and treatment outcome was assessed using a Cox proportional-hazards interaction test. RESULTS Immunomodulatory (IM) and basal-like/immune activated (BLIA) molecular subtypes showed a significant survival benefit when treated with low-dose CM [disease-free survival (DFS): HR, 0.5; 95% confidence interval (CI), 0.28-0.89; Pinteraction = 0.018 and HR, 0.49; 95% CI, 0.27-0.9; Pinteraction = 0.021]. Moreover, a high expression of regulatory T-cell immune signature was associated with a better prognosis in the CM arm, in line with a potential immunomodulating role of cyclophosphamide. In contrast, a worse outcome was observed in tumors with a mesenchymal (M) subtype treated with low-dose CM (DFS: HR, 1.9; 95% CI, 1.2-3; Pinteraction = 0.0044). CONCLUSIONS Our results show a differential benefit of low-dose CM therapy across different TNBC subtypes. Low-dose CM therapy could be considered as a potential strategy for TNBC tumors with IM subtype in the early-disease setting.
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Affiliation(s)
- Andrea Joaquin Garcia
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - David Venet
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Samira Majjaj
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Roswitha Kammler
- Translational Research Coordination International Breast Cancer Study Group, Division of ETOP IBCSG Partners Foundation, Bern, Switzerland
| | | | - Lorenzo Gianni
- Department of Medical Oncology, Ospedale Infermi, Rimini, AUSL della Romagna, Italy
| | | | - István Laáng
- National Institute of Oncology, Budapest, Hungary
| | - Marco Colleoni
- International Breast Cancer Study Group, Division of Medical Senology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Sherene Loi
- International Breast Cancer Study Group, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
| | | | - Meredith M Regan
- International Breast Cancer Study Group Statistical Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Laurence Buisseret
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Françoise Rothé
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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5
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Rediti M, Fernandez-Martinez A, Venet D, Rothé F, Hoadley KA, Parker JS, Singh B, Campbell JD, Ballman KV, Hillman DW, Winer EP, El-Abed S, Piccart M, Di Cosimo S, Symmans WF, Krop IE, Salgado R, Loi S, Pusztai L, Perou CM, Carey LA, Sotiriou C. Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials. Nat Commun 2023; 14:7053. [PMID: 37923752 PMCID: PMC10624889 DOI: 10.1038/s41467-023-42635-2] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 10/16/2023] [Indexed: 11/06/2023] Open
Abstract
The identification of prognostic markers in patients receiving neoadjuvant therapy is crucial for treatment optimization in HER2-positive breast cancer, with the immune microenvironment being a key factor. Here, we investigate the complexity of B and T cell receptor (BCR and TCR) repertoires in the context of two phase III trials, NeoALTTO and CALGB 40601, evaluating neoadjuvant paclitaxel with trastuzumab and/or lapatinib in women with HER2-positive breast cancer. BCR features, particularly the number of reads and clones, evenness and Gini index, are heterogeneous according to hormone receptor status and PAM50 subtypes. Moreover, BCR measures describing clonal expansion, namely evenness and Gini index, are independent prognostic factors. We present a model developed in NeoALTTO and validated in CALGB 40601 that can predict event-free survival (EFS) by integrating hormone receptor and clinical nodal status, breast pathological complete response (pCR), stromal tumor-infiltrating lymphocyte levels (%) and BCR repertoire evenness. A prognostic score derived from the model and including those variables, HER2-EveNT, allows the identification of patients with 5-year EFS > 90%, and, in those not achieving pCR, of a subgroup of immune-enriched tumors with an excellent outcome despite residual disease.
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Affiliation(s)
- Mattia Rediti
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | | | - David Venet
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Françoise Rothé
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | | | - Jordan D Campbell
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | - Karla V Ballman
- Alliance Statistics and Data Management Center, Weill Cornell Medicine, New York, NY, USA
| | - David W Hillman
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | - Eric P Winer
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | | | - Martine Piccart
- Medical Oncology Department, Institut Jules Bordet and l'Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Serena Di Cosimo
- Integrated biology platform unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - William Fraser Symmans
- Department of Pathology, University of Texas, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ian E Krop
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Ziekenhuizen, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Sherene Loi
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Lajos Pusztai
- Breast Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Lisa A Carey
- Division of Hematology-Oncology, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
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6
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Buisseret L, Loirat D, Aftimos P, Maurer C, Punie K, Debien V, Kristanto P, Eiger D, Goncalves A, Ghiringhelli F, Taylor D, Clatot F, Van den Mooter T, Ferrero JM, Bonnefoi H, Canon JL, Duhoux FP, Mansi L, Poncin R, Barthélémy P, Isambert N, Denis Z, Catteau X, Salgado R, Agostinetto E, de Azambuja E, Rothé F, Craciun L, Venet D, Romano E, Stagg J, Paesmans M, Larsimont D, Sotiriou C, Ignatiadis M, Piccart-Gebhart M. Paclitaxel plus carboplatin and durvalumab with or without oleclumab for women with previously untreated locally advanced or metastatic triple-negative breast cancer: the randomized SYNERGY phase I/II trial. Nat Commun 2023; 14:7018. [PMID: 37919269 PMCID: PMC10622534 DOI: 10.1038/s41467-023-42744-y] [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: 07/27/2023] [Accepted: 10/20/2023] [Indexed: 11/04/2023] Open
Abstract
Chemo-immunotherapy is the first-line standard of care for patients with PD-L1 positive metastatic triple-negative breast cancer (mTNBC). SYNERGY (NCT03616886) is a dose-finding phase I and a randomized phase II, open-label trial evaluating if targeting the immunosuppressive adenosine pathway can enhance the antitumor activity of chemo-immunotherapy. The phase I part included 6 patients with untreated locally-advanced or mTNBC to determine the safety and recommended phase II dose of the anti-CD73 antibody oleclumab in combination with the anti-PD-L1 durvalumab and 12 cycles of weekly carboplatin and paclitaxel. In the phase II part, 127 women were randomized 1:1 to receive chemo-immunotherapy, with (arm A) or without (arm B) oleclumab. The primary endpoint was the clinical benefit rate at week 24, defined as stable disease, partial or complete response per RECIST v1.1. Secondary endpoints included objective response rate, duration of response, survival outcomes (progression-free survival and overall survival), and safety. The trial did not meet its primary endpoint, as the 24-week clinical benefit rate was not significantly improved by adding oleclumab (43% vs. 44%, p = 0.61). Exploratory median progression-free survival was 5.9 months in arm A as compared to 7.0 months in arm B (p = 0.90). The safety profile was manageable in both arms.
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Affiliation(s)
- Laurence Buisseret
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium.
| | - Delphine Loirat
- Medical Oncology Department, Institut Curie, 75005, Paris, France
| | - Philippe Aftimos
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Christian Maurer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, 52074, Cologne, Germany
| | - Kevin Punie
- Department of General Medical Oncology and Multidisciplinary Breast Unit, Leuven Cancer Institute, University Hospitals Leuven, 3000, Leuven, Belgium
| | - Véronique Debien
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Paulus Kristanto
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Daniel Eiger
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Anthony Goncalves
- Medical Oncology Department, Institut Paoli-Calmettes, 13274, Marseille, France
| | | | - Donatienne Taylor
- Department of Oncology, CHU-UCL-Namur - Site Sainte-Elisabeth, 5000, Namur, Belgium
| | - Florent Clatot
- Medical Oncology Department, Centre Henri Becquerel, 76038, Rouen, France
| | - Tom Van den Mooter
- Department of Oncology, GZA Ziekenhuizen Campus Sint-Augustinus, 2610, Antwerp, Belgium
| | - Jean-Marc Ferrero
- Department of Oncology, Centre Antoine Lacassagne, 06189, Nice, France
| | - Hervé Bonnefoi
- Medical Oncology Department, Institut Bergonié, 33000, Bordeaux, France
| | - Jean-Luc Canon
- Department of Oncology-Hematology, Grand Hôpital de Charleroi - Site Notre Dame, 6000, Charleroi, Belgium
| | - Francois P Duhoux
- Medical Oncology Department, Cliniques Universitaires Saint-Luc (UCLouvain), 1200, Brussels, Belgium
| | - Laura Mansi
- Department of Oncology, CHU Besançon - Hôpital Jean Minjoz, 25030, Besancon, France
| | - Renaud Poncin
- Medical Oncology Department, Clinique Saint-Pierre, 1340, Ottignies-Louvain-la-Neuve, Belgium
| | - Philippe Barthélémy
- Medical Oncology Department, Institut de Cancérologie Strasbourg Europe (ICANS), 67000, Strasbourg, France
| | - Nicolas Isambert
- Medical Oncology Department, CHU Poitiers, 86000, Poitiers, France
| | - Zoë Denis
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Xavier Catteau
- CurePath Laboratory (CHU Tivoli, CHIREC), 6040, Jumet, Belgium
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, 2610, Antwerp, Belgium
| | - Elisa Agostinetto
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Evandro de Azambuja
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Françoise Rothé
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Ligia Craciun
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - David Venet
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Emanuela Romano
- Centre for Cancer Immunotherapy, Medical Oncology Department, INSERM U932, Institut Curie, PSL Research University, 75005, Paris, France
| | - John Stagg
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Faculté de Pharmacie et Institut du Cancer de Montréal, Montréal, QC, 11290, Canada
| | - Marianne Paesmans
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Denis Larsimont
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Christos Sotiriou
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Michail Ignatiadis
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
| | - Martine Piccart-Gebhart
- Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, 1070, Brussels, Belgium
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7
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Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado‐Cabrero I, Amgad M, Azmoudeh‐Ardalan F, Badve S, Baharun NB, Balslev E, Bellolio ER, Bheemaraju V, Blenman KRM, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Chon U Cheang M, Ciompi F, Cooper LAD, Coosemans A, Corredor G, Dahl AB, Dantas Portela FL, Deman F, Demaria S, Doré Hansen J, Dudgeon SN, Ebstrup T, Elghazawy M, Fernandez‐Martín C, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez‐Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hauberg S, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EAM, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm A, 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, Roslind A, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed S, Scott E, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Fineberg S, 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, Zin RM, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Specht Stovgaard E. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. J Pathol 2023; 260:498-513. [PMID: 37608772 PMCID: PMC10518802 DOI: 10.1002/path.6155] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 04/21/2023] [Accepted: 06/07/2023] [Indexed: 08/24/2023]
Abstract
The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 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)
- Jeppe Thagaard
- Technical University of DenmarkKongens LyngbyDenmark
- Visiopharm A/SHørsholmDenmark
| | - Glenn Broeckx
- Department of PathologyGZA‐ZNA HospitalsAntwerpBelgium
- Centre for Oncological Research (CORE), MIPPRO, Faculty of MedicineAntwerp UniversityAntwerpBelgium
| | - David B Page
- Earle A Chiles Research InstituteProvidence Cancer InstitutePortlandORUSA
| | - Chowdhury Arif Jahangir
- UCD School of Biomolecular and Biomedical Science, UCD Conway InstituteUniversity College DublinDublinIreland
| | - Sara Verbandt
- Digestive Oncology, Department of OncologyKU LeuvenLeuvenBelgium
| | - Zuzana Kos
- Department of Pathology and Laboratory MedicineBC Cancer Vancouver Centre, University of British ColumbiaVancouverBritish ColumbiaCanada
| | - Rajarsi Gupta
- Department of Biomedical InformaticsStony Brook UniversityStony BrookNYUSA
| | - Reena Khiroya
- Department of Cellular PathologyUniversity College Hospital LondonLondonUK
| | | | | | - Balazs Acs
- Department of Oncology and PathologyKarolinska InstitutetStockholmSweden
- Department of Clinical Pathology and Cancer DiagnosticsKarolinska University HospitalStockholmSweden
| | - Guray Akturk
- Translational Molecular Biomarkers, Merck & Co IncRahwayNJUSA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics (DCEG)National Cancer Institute (NCI)Rockville, MDUSA
| | | | - Mohamed Amgad
- Department of PathologyNorthwestern University Feinberg School of MedicineChicagoILUSA
| | | | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Emory University School of MedicineEmory University Winship Cancer InstituteAtlantaGAUSA
| | | | - Eva Balslev
- Department of PathologyHerlev and Gentofte HospitalHerlevDenmark
| | - Enrique R Bellolio
- Departamento de Anatomía Patológica, Facultad de MedicinaUniversidad de La FronteraTemucoChile
| | | | - Kim RM Blenman
- Department of Internal Medicine Section of Medical Oncology and Yale Cancer CenterYale School of MedicineNew HavenCTUSA
- Department of Computer ScienceYale School of Engineering and Applied ScienceNew HavenCTUSA
| | | | - Najat Bouchmaa
- Institute of Biological Sciences, Faculty of Medical SciencesMohammed VI Polytechnic University (UM6P)Ben‐GuerirMorocco
| | - Octavio Burgues
- Pathology DepartmentHospital Cliníco Universitario de Valencia/InclivaValenciaSpain
| | - Alexandros Chardas
- Department of Pathobiology & Population SciencesThe Royal Veterinary CollegeLondonUK
| | - Maggie Chon U Cheang
- Head of Integrative Genomics Analysis in Clinical Trials, ICR‐CTSU, Division of Clinical StudiesThe Institute of Cancer ResearchLondonUK
| | - Francesco Ciompi
- Radboud University Medical CenterDepartment of PathologyNijmegenThe Netherlands
| | - Lee AD Cooper
- Department of PathologyNorthwestern Feinberg School of MedicineChicagoILUSA
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and ImmunotherapyKU LeuvenLeuvenBelgium
| | - Germán Corredor
- Biomedical Engineering DepartmentEmory UniversityAtlantaGAUSA
| | - Anders B Dahl
- Technical University of DenmarkKongens LyngbyDenmark
| | | | | | - Sandra Demaria
- Department of Radiation OncologyWeill Cornell MedicineNew YorkNYUSA
- Department of Pathology and Laboratory MedicineWeill Cornell MedicineNew YorkNYUSA
| | | | - Sarah N Dudgeon
- Conputational Biology and BioinformaticsYale UniversityNew HavenCTUSA
| | | | | | - Claudio Fernandez‐Martín
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN‐techUniversitat Politècnica de ValènciaValenciaSpain
| | - Stephen B Fox
- Pathology, Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of OncologyUniversity of MelbourneMelbourneVictoriaAustralia
| | - William M Gallagher
- UCD School of Biomolecular and Biomedical Science, UCD Conway InstituteUniversity College DublinDublinIreland
| | | | - Sacha Gnjatic
- Department of Oncological Sciences, Medicine Hem/Onc, and Pathology, Tisch Cancer Institute – Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and MedicineKing's College LondonLondonUK
- The Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and MedicineKing's College LondonLondonUK
| | - Niels Halama
- Department of Translational ImmunotherapyGerman Cancer Research CenterHeidelbergGermany
| | - Matthew G Hanna
- Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkUSA
| | | | - Steven N Hart
- Department of Laboratory Medicine and PathologyMayo ClinicRochester, MNUSA
| | - Johan Hartman
- Department of Oncology and PathologyKarolinska InstitutetStockholmSweden
- Department of Clinical Pathology and Cancer DiagnosticsKarolinska University HospitalStockholmSweden
| | - Søren Hauberg
- Technical University of DenmarkKongens LyngbyDenmark
| | - Stephen Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMDUSA
| | - Akira I Hida
- Department of PathologyMatsuyama Shimin HospitalMatsuyamaJapan
| | - Hugo M Horlings
- Division of PathologyNetherlands Cancer Institute (NKI)AmsterdamThe Netherlands
| | | | | | - Sheeba Irshad
- King's College London & Guy's & St Thomas’ NHS TrustLondonUK
| | - Emiel AM Janssen
- Department of PathologyStavanger University HospitalStavangerNorway
- Department of Chemistry, Bioscience and Environmental TechnologyUniversity of StavangerStavangerNorway
| | | | | | - Kosuke Kawaguchi
- Department of Breast SurgeryKyoto University Graduate School of MedicineKyotoJapan
| | | | - Andrey I Khramtsov
- Department of Pathology and Laboratory MedicineAnn & Robert H. Lurie Children's Hospital of ChicagoChicagoILUSA
| | - Umay Kiraz
- Department of PathologyStavanger University HospitalStavangerNorway
- Department of Chemistry, Bioscience and Environmental TechnologyUniversity of StavangerStavangerNorway
| | - Pawan Kirtani
- Department of HistopathologyAakash Healthcare Super Speciality HospitalNew DelhiIndia
| | - Liudmila L Kodach
- Department of PathologyNetherlands Cancer Institute – Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
| | - Konstanty Korski
- Data, Analytics and Imaging, Product DevelopmentF. Hoffmann‐La Roche AGBaselSwitzerland
| | - Anikó Kovács
- Department of Clinical PathologySahlgrenska University HospitalGothenburgSweden
- Institute of Biomedicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Anne‐Vibeke Laenkholm
- Department of Surgical PathologyZealand University HospitalRoskildeDenmark
- Department of Surgical PathologyUniversity of CopenhagenCopenhagenDenmark
| | - Corinna Lang‐Schwarz
- Institute of Pathology, Klinikum Bayreuth GmbHFriedrich‐Alexander‐University Erlangen‐NurembergBayreuthGermany
| | - Denis Larsimont
- Institut Jules BordetUniversité Libre de BruxellesBrusselsBelgium
| | - Jochen K Lennerz
- Center for Integrated DiagnosticsMassachusetts General Hospital/Harvard Medical SchoolBostonMAUSA
| | - Marvin Lerousseau
- Centre for Computational Biology (CBIO)Mines Paris, PSL UniversityParisFrance
- Institut CuriePSL UniversityParisFrance
- INSERMParisFrance
| | - Xiaoxian Li
- Department of Pathology and Laboratory MedicineEmory UniversityAtlantaGAUSA
| | - Amy Ly
- Department of PathologyMassachusetts General HospitalBostonMAUSA
| | - Anant Madabhushi
- Department of Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics, PathologyGeorgia Institute of Technology and Emory UniversityAtlantaGAUSA
| | - Sai K Maley
- NRG Oncology/NSABP FoundationPittsburghPAUSA
| | | | | | - Elizabeth S McDonald
- Breast Cancer Translational Research GroupUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Ravi Mehrotra
- Indian Cancer Genomic AtlasPuneIndia
- Centre for Health, Innovation and Policy FoundationNoidaIndia
| | - Stefan Michiels
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, InsermUniversity Paris‐Saclay, Ligue Contre le Cancer labeled TeamVillejuifFrance
| | - Fayyaz ul Amir Afsar Minhas
- Tissue Image Analytics Centre, Warwick Cancer Research Centre, PathLAKE Consortium, Department of Computer ScienceUniversity of WarwickCoventryUK
| | - Shachi Mittal
- Department of Chemical Engineering, Department of Laboratory Medicine and PathologyUniversity of WashingtonSeattle, WAUSA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCL and Cellular Pathology DepartmentUCLHLondonUK
| | - Shamim Mushtaq
- Department of BiochemistryZiauddin UniversityKarachiPakistan
| | - Hussain Nighat
- Pathology and Laboratory MedicineAll India Institute of Medical sciencesRaipurIndia
| | - Thomas Papathomas
- Institute of Metabolism and Systems ResearchUniversity of BirminghamBirminghamUK
- Department of Clinical PathologyDrammen Sykehus, Vestre Viken HFDrammenNorway
| | - Frederique Penault‐Llorca
- Centre Jean Perrin, Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies ThéranostiquesClermont FerrandFrance
| | - Rashindrie D Perera
- School of Electrical, Mechanical and Infrastructure EngineeringUniversity of MelbourneMelbourneVictoriaAustralia
- Division of Cancer ResearchPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - Christopher J Pinard
- Radiogenomics LaboratorySunnybrook Health Sciences CentreTorontoOntarioCanada
- Department of Clinical Studies, Ontario Veterinary CollegeUniversity of GuelphGuelphOntarioCanada
- Department of OncologyLakeshore Animal Health PartnersMississaugaOntarioCanada
- Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE‐AI)University of GuelphGuelphOntarioCanada
| | | | - Giancarlo Pruneri
- Department of Pathology and Laboratory MedicineFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
- Faculty of Medicine and SurgeryUniversity of MilanMilanItaly
| | - Lajos Pusztai
- Yale Cancer CenterYale UniversityNew HavenCTUSA
- Department of Medical Oncology, Yale School of MedicineYale UniversityNew HavenCTUSA
| | - Arman Rahman
- UCD School of Biomolecular and Biomedical Science, UCD Conway InstituteUniversity College DublinDublinIreland
| | | | - Bernardo Leon Rapoport
- The Medical Oncology Centre of RosebankJohannesburgSouth Africa
- Department of Immunology, Faculty of Health SciencesUniversity of PretoriaPretoriaSouth Africa
| | - Tilman T Rau
- Institute of PathologyUniversity Hospital Düsseldorf and Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
| | - Jorge S Reis‐Filho
- Department of Pathology and Laboratory MedicineMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - Joana M Ribeiro
- Département de Médecine OncologiqueGustave RoussyVillejuifFrance
| | - David Rimm
- Department of PathologyYale University School of MedicineNew HavenCTUSA
- Department of MedicineYale University School of MedicineNew HavenCTUSA
| | - Anne Roslind
- Department of PathologyHerlev and Gentofte HospitalHerlevDenmark
| | - Anne Vincent‐Salomon
- Department of Diagnostic and Theranostic Medicine, Institut CurieUniversity Paris‐Sciences et LettresParisFrance
| | - Manuel Salto‐Tellez
- Integrated Pathology UnitThe Institute of Cancer ResearchLondonUK
- Precision Medicine CentreQueen's University BelfastBelfastUK
| | - Joel Saltz
- Department of Biomedical InformaticsStony Brook UniversityStony BrookNYUSA
| | - Shahin Sayed
- Department of PathologyAga Khan UniversityNairobiKenya
| | - Ely Scott
- Translational PathologyTranslational Sciences and Diagnostics/Translational Medicine/R&D, Bristol Myers SquibbPrincetonNJUSA
| | - Kalliopi P Siziopikou
- Department of Pathology, Section of Breast PathologyNorthwestern University Feinberg School of MedicineChicagoILUSA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.‐C. Heuson, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB)Université Libre de Bruxelles (ULB)BrusselsBelgium
- Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB)Université Libre de Bruxelles (ULB)BrusselsBelgium
| | - Albrecht Stenzinger
- Institute of PathologyUniversity Hospital HeidelbergHeidelbergGermany
- Centers for Personalized Medicine (ZPM)HeidelbergGermany
| | | | - Daniel Sur
- Department of Medical OncologyUniversity of Medicine and Pharmacy “Iuliu Hatieganu”Cluj‐NapocaRomania
| | - Susan Fineberg
- Montefiore Medical CenterBronxNYUSA
- Albert Einstein College of MedicineBronxNYUSA
| | - Fraser Symmans
- University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | | | | | - Sabine Tejpar
- Digestive Oncology, Department of OncologyKU LeuvenLeuvenBelgium
| | - Jonas Teuwen
- AI for Oncology Lab, The Netherlands Cancer InstituteAmsterdamThe Netherlands
| | | | - Trine Tramm
- Department of PathologyAarhus University HospitalAarhusDenmark
- Institute of Clinical MedicineAarhus UniversityAarhusDenmark
| | - William T Tran
- Department of Radiation OncologyUniversity of Toronto and Sunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Jeroen van der Laak
- Department of PathologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Paul J van Diest
- Department of PathologyUniversity Medical Center UtrechtThe Netherlands
- Johns Hopkins Oncology CenterBaltimoreMDUSA
| | - Gregory E Verghese
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and MedicineKing's College LondonLondonUK
- The Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and MedicineKing's College LondonLondonUK
| | - Giuseppe Viale
- Department of PathologyEuropean Institute of OncologyMilanItaly
- Department of PathologyUniversity of MilanMilanItaly
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth GmbHFriedrich‐Alexander‐University Erlangen‐NurembergBayreuthGermany
| | - Noorul Wahab
- Tissue Image Analytics Centre, Department of Computer ScienceUniversity of WarwickCoventryUK
| | - Thomas Walter
- Centre for Computational Biology (CBIO)Mines Paris, PSL UniversityParisFrance
- Institut CuriePSL UniversityParisFrance
- INSERMParisFrance
| | | | - Hannah Y Wen
- Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkUSA
| | - Wentao Yang
- Fudan Medical University Shanghai Cancer CenterShanghaiPR China
| | - Yinyin Yuan
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory MedicineThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Reena Md Zin
- Department of Pathology, Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
| | - Sylvia Adams
- Perlmutter Cancer CenterNYU Langone HealthNew YorkNYUSA
- Department of MedicineNYU Grossman School of MedicineManhattanNYUSA
| | | | - Sibylle Loibl
- Department of Medicine and ResearchGerman Breast GroupNeu‐IsenburgGermany
| | - Carsten Denkert
- Institut für PathologiePhilipps‐Universität Marburg und Universitätsklinikum MarburgMarburgGermany
| | - Peter Savas
- Division of Cancer ResearchPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
- The Sir Peter MacCallum Department of Medical OncologyUniversity of MelbourneMelbourneVictoriaAustralia
| | - Sherene Loi
- Division of Cancer ResearchPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
- The Sir Peter MacCallum Department of Medical OncologyUniversity of MelbourneMelbourneVictoriaAustralia
| | - Roberto Salgado
- Department of PathologyGZA‐ZNA HospitalsAntwerpBelgium
- Division of Cancer ResearchPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - Elisabeth Specht Stovgaard
- Department of PathologyHerlev and Gentofte HospitalHerlevDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
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8
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Lengrand J, Pastushenko I, Vanuytven S, Song Y, Venet D, Sarate RM, Bellina M, Moers V, Boinet A, Sifrim A, Rama N, Ducarouge B, Van Herck J, Dubois C, Scozzaro S, Lemaire S, Gieskes S, Bonni S, Collin A, Braissand N, Allard J, Zindy E, Decaestecker C, Sotiriou C, Salmon I, Mehlen P, Voet T, Bernet A, Blanpain C. Pharmacological targeting of netrin-1 inhibits EMT in cancer. Nature 2023; 620:402-408. [PMID: 37532929 PMCID: PMC7615210 DOI: 10.1038/s41586-023-06372-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 04/04/2022] [Accepted: 06/26/2023] [Indexed: 08/04/2023]
Abstract
Epithelial-to-mesenchymal transition (EMT) regulates tumour initiation, progression, metastasis and resistance to anti-cancer therapy1-7. Although great progress has been made in understanding the role of EMT and its regulatory mechanisms in cancer, no therapeutic strategy to pharmacologically target EMT has been identified. Here we found that netrin-1 is upregulated in a primary mouse model of skin squamous cell carcinoma (SCC) exhibiting spontaneous EMT. Pharmacological inhibition of netrin-1 by administration of NP137, a netrin-1-blocking monoclonal antibody currently used in clinical trials in human cancer (ClinicalTrials.gov identifier NCT02977195 ), decreased the proportion of EMT tumour cells in skin SCC, decreased the number of metastases and increased the sensitivity of tumour cells to chemotherapy. Single-cell RNA sequencing revealed the presence of different EMT states, including epithelial, early and late hybrid EMT, and full EMT states, in control SCC. By contrast, administration of NP137 prevented the progression of cancer cells towards a late EMT state and sustained tumour epithelial states. Short hairpin RNA knockdown of netrin-1 and its receptor UNC5B in EPCAM+ tumour cells inhibited EMT in vitro in the absence of stromal cells and regulated a common gene signature that promotes tumour epithelial state and restricts EMT. To assess the relevance of these findings to human cancers, we treated mice transplanted with the A549 human cancer cell line-which undergoes EMT following TGFβ1 administration8,9-with NP137. Netrin-1 inhibition decreased EMT in these transplanted A549 cells. Together, our results identify a pharmacological strategy for targeting EMT in cancer, opening up novel therapeutic interventions for anti-cancer therapy.
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Affiliation(s)
- Justine Lengrand
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
- NETRIS Pharma, Lyon, France
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France
| | - Ievgenia Pastushenko
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sebastiaan Vanuytven
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
- Laboratory of Multi-omic Integrative Bioinformatics, Center for Human Genetics, KU Leuven, Leuven, Belgium
| | - Yura Song
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - David Venet
- Laboratory of Breast Cancer Translational Research J.-C. Heuson, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Rahul M Sarate
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Melanie Bellina
- NETRIS Pharma, Lyon, France
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France
| | - Virginie Moers
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alice Boinet
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alejandro Sifrim
- Laboratory of Multi-omic Integrative Bioinformatics, Center for Human Genetics, KU Leuven, Leuven, Belgium
- KU Leuven Institute for Single-cell Omics, KU Leuven, Leuven, Belgium
| | - Nicolas Rama
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France
| | | | - Jens Van Herck
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Christine Dubois
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Samuel Scozzaro
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sophie Lemaire
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sarah Gieskes
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sophie Bonni
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Amandine Collin
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Jumet, Belgium
| | - Nicolas Braissand
- NETRIS Pharma, Lyon, France
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France
| | - Justine Allard
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Jumet, Belgium
| | - Egor Zindy
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Jumet, Belgium
| | - Christine Decaestecker
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Jumet, Belgium
- Laboratory of Image Synthesis and Analysis, Ecole Polytechnique-Université libre de Bruxelles (EPB-ULB), Gosselies, Belgium
| | - Christos Sotiriou
- Laboratory of Breast Cancer Translational Research J.-C. Heuson, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Isabelle Salmon
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Jumet, Belgium
- Centre Universitaire Inter Régional d'Expertise en Anatomie pathologique Hospitalière (CurePath), Brussels, Belgium
- Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Mehlen
- NETRIS Pharma, Lyon, France.
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France.
| | - Thierry Voet
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
- KU Leuven Institute for Single-cell Omics, KU Leuven, Leuven, Belgium
| | - Agnès Bernet
- NETRIS Pharma, Lyon, France.
- Laboratory Apoptosis, Cancer and Development, Equipe labellisee 'La Ligue', LabEx DEVweCAN, Institute PLAsCAN, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Lyon, France.
| | - Cédric Blanpain
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium.
- WEL (Wallon ExceLlence) Research Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
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9
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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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10
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Nguyen HL, Geukens T, Maetens M, Aparicio S, Bassez A, Borg A, Brock J, Broeks A, Caldas C, Cardoso F, De Schepper M, Delorenzi M, Drukker CA, Glas AM, Green AR, Isnaldi E, Eyfjörð J, Khout H, Knappskog S, Krishnamurthy S, Lakhani SR, Langerod A, Martens JWM, McCart Reed AE, Murphy L, Naulaerts S, Nik-Zainal S, Nevelsteen I, Neven P, Piccart M, Poncet C, Punie K, Purdie C, Rakha EA, Richardson A, Rutgers E, Vincent-Salomon A, Simpson PT, Schmidt MK, Sotiriou C, Span PN, Tan KTB, Thompson A, Tommasi S, Van Baelen K, Van de Vijver M, Van Laere S, Van't Veer L, Viale G, Viari A, Vos H, Witteveen AT, Wildiers H, Floris G, Garg AD, Smeets A, Lambrechts D, Biganzoli E, Richard F, Desmedt C. Obesity-associated changes in molecular biology of primary breast cancer. Nat Commun 2023; 14:4418. [PMID: 37479706 PMCID: PMC10361985 DOI: 10.1038/s41467-023-39996-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023] Open
Abstract
Obesity is associated with an increased risk of developing breast cancer (BC) and worse prognosis in BC patients, yet its impact on BC biology remains understudied in humans. This study investigates how the biology of untreated primary BC differs according to patients' body mass index (BMI) using data from >2,000 patients. We identify several genomic alterations that are differentially prevalent in overweight or obese patients compared to lean patients. We report evidence supporting an ageing accelerating effect of obesity at the genetic level. We show that BMI-associated differences in bulk transcriptomic profile are subtle, while single cell profiling allows detection of more pronounced changes in different cell compartments. These analyses further reveal an elevated and unresolved inflammation of the BC tumor microenvironment associated with obesity, with distinct characteristics contingent on the estrogen receptor status. Collectively, our analyses imply that obesity is associated with an inflammaging-like phenotype. We conclude that patient adiposity may play a significant role in the heterogeneity of BC and should be considered for BC treatment tailoring.
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Affiliation(s)
- Ha-Linh Nguyen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Marion Maetens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Samuel Aparicio
- Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ayse Bassez
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Ake Borg
- Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden
- Lund University Cancer Center Lund, Lund, Sweden
- CREATE Health Strategic Centre for Translational Cancer Research, Lund University, Lund, Sweden
- Department of Clinical Sciences, SCIBLU Genomics, Lund University, Lund, Sweden
| | - Jane Brock
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Annegien Broeks
- Departments of Core Facility, Molecular Pathology and Biobanking, Antoni van Leeuwenhoek, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
| | - Maxim De Schepper
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Mauro Delorenzi
- Department of Oncology, University of Lausanne, Epalinges, Switzerland
- SIB Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Lausanne, Switzerland
| | - Caroline A Drukker
- Department of Surgical Oncology, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | | | - Andrew R Green
- Nottingham Breast Cancer Research Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Edoardo Isnaldi
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jórunn Eyfjörð
- BioMedical Center, School of Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Hazem Khout
- Department of Breast Surgery, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Stian Knappskog
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Savitri Krishnamurthy
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sunil R Lakhani
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
- Pathology Queensland, The Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Anita Langerod
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Ullernchausseen, Oslo, Norway
| | - John W M Martens
- Department of Medical Oncology and Cancer Genomics Netherlands, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Amy E McCart Reed
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Leigh Murphy
- University of Manitoba and Cancer Care Manitoba Research Institute, Winnipeg, MB, Canada
| | - Stefan Naulaerts
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Serena Nik-Zainal
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Ines Nevelsteen
- Department of Surgical Oncology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Patrick Neven
- Department of Gynecological Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Martine Piccart
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Coralie Poncet
- European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Kevin Punie
- Department of General Medical Oncology and Multidisciplinary Breast Unit, Leuven Cancer Institute and University Hospitals Leuven, Leuven, Belgium
| | - Colin Purdie
- Department of Pathology, University of Dundee, NHS Tayside, Dundee, UK
| | - Emad A Rakha
- Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Histopathology, Nottingham University Hospital NHS Trust, City Hospital Campus, Nottingham, UK
| | | | - Emiel Rutgers
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Anne Vincent-Salomon
- Diagnostic and Theranostic Medicine Division, Institut Curie, PSL Research University, Paris, France
| | - Peter T Simpson
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Christos Sotiriou
- Institut Jules Bordet, Universite Libre de Bruxelles, Brussels, Belgium
| | - Paul N Span
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kiat Tee Benita Tan
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Department of Breast Surgery, National Cancer Centre, Singapore, Singapore
| | - Alastair Thompson
- Department of Surgery, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Stefania Tommasi
- Molecular Diagnostics and Pharmacogenetics Unit, IRCCS Istituto Tumouri "Giovanni Paolo II", Bari, Italy
| | - Karen Van Baelen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Marc Van de Vijver
- Department of Pathology, Amsterdam University Medical Centers, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, the Netherlands
| | - Steven Van Laere
- Center for Oncological Research (CORE), Integrated Personalized and Precision Oncology Network (IPPON), University of Antwerp, Antwerp, Belgium
| | - Laura Van't Veer
- Department of Laboratory Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA
| | - Giuseppe Viale
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Alain Viari
- Synergie Lyon Cancer, Plateforme de Bio-informatique 'Gilles Thomas', Lyon, France
| | - Hanne Vos
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | | | - Hans Wildiers
- Department of General Medical Oncology and Multidisciplinary Breast Unit, Leuven Cancer Institute and University Hospitals Leuven, Leuven, Belgium
| | - Giuseppe Floris
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Abhishek D Garg
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Elia Biganzoli
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.
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Caparica R, Richard F, Brandão M, Awada A, Sotiriou C, de Azambuja E. Corrigendum to "Prognostic and predictive impact of beta-2 adrenergic receptor expression in HER2-positive breast cancer" [Clin Breast Cancer 2020; 20:262-73.e7]. Clin Breast Cancer 2023:S1526-8209(23)00081-2. [PMID: 37183094 DOI: 10.1016/j.clbc.2023.03.012] [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: 05/16/2023]
Affiliation(s)
- Rafael Caparica
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Mariana Brandão
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Ahmad Awada
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Evandro de Azambuja
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
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Oesterreich S, Pate L, LEE ADRIANV, Jankowitz RC, Derksen P, Mukhtar R, Metzger O, Sikora MJ, Li C, Sotiriou C, Ulaner G, Reis-Filho J, Davidson NE, Van Baelen K, Hutcheson L, Freeney S, Migyanka F, Turner C, Bear T, Desmedt C. Abstract P6-05-10: An international survey on invasive lobular breast cancer (ILC) reveals gaps in knowledge and top priority research areas. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p6-05-10] [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: 03/06/2023]
Abstract
Abstract
Background: There is growing awareness of the unique etiology, biology, clinical presentation and progression of Invasive lobular breast cancer (ILC), but additional research is needed to assure translation of findings into management and treatment guidelines. We performed a survey to: 1) analyze the landscape of the current understanding of ILC, and 2) identify consensus research questions on ILC.
Methods: The IRB-approved survey was developed with input from representatives of three major stakeholder groups - breast cancer clinicians/researchers, laboratory-based researchers, and advocates/patients. We fielded the survey from March to May 2022 using targeted email and via social media.
Results: 1,774 participants answered at least one question and 1,310 finished the survey. Participants are from 66 countries from all continents (except Antarctica). Respondents self-identified as clinicians (mostly medical oncologists and surgeons) (N=413), researchers (N=376), and breast cancer patients (1,121), with some belonging to more than one category. 26% of the patients who participated in the survey belong to advocate groups.
Only 46% of clinicians reported being confident in describing the differences between ILC and no special type (NST) (invasive ductal) breast cancer. Knowledge of histology was seen as important (73%), affecting their treatment decisions (51%), and refined treatment guidelines would be valuable for patients with ILC in the future (76%). 85% of clinicians have never powered a clinical trial to allow subset analysis for histological subtypes, but the majority would consider it. 88% would participate in a consortium to conduct clinical trials on ILC. The top two most important research questions were: 1) determining mechanisms of endocrine resistance, and, 2) identifying novel therapeutic targets, repurposing existing drugs and progressing them to clinical trials.
Of the researchers, 48% reported being confident in describing differences between ILC and NST. They reported that ILCs are inadequately presented in large genomic data sets (52%), and that ILC models are insufficient (42%). Only 13% of respondents have inadequate access to tissue or blood from patients with ILC. The top two most important research questions identified by the laboratory researchers overlapped with those identified by the clinicians, i.e. understanding of endocrine resistance and identifying novel drugs that can be tested in clinical trials.
The majority of patients (52%) thought that their health care providers did not explain unique features of ILC, and that in general communication was limited. When asked about top research question, they chose: 1) Improvement of ILC screening/early detection, and, 2) Identifying new and specific imaging tools for ILC.
When comparing top priority topics across six research domains, there was a high degree of consistency, especially among clinicians and researcher, but less so when compared with the breast cancer patients (Table 1).
Conclusion: In summary, we have gathered timely and representative information from an international community of clinicians, researchers, and patients/advocates that we expect will lay the foundation for a community-informed collaborative research agenda, with the goal of improving the management and personalizing treatment for patients with ILC.
Table 1. Ratings by all three stakeholder groups of the most critical and impactful ILC research topics. Top box scores between stakeholder groups were compared using chi-square analysis.
Citation Format: Steffi Oesterreich, Leigh Pate, ADRIAN V. LEE, Rachel C. Jankowitz, Patrick Derksen, Rita Mukhtar, Otto Metzger, Matthew J. Sikora, Christopher Li, Christos Sotiriou, Gary Ulaner, Jorge Reis-Filho, Nancy E Davidson, Karen Van Baelen, Laurie Hutcheson, Siobhan Freeney, Flora Migyanka, Claire Turner, Todd Bear, Christine Desmedt. An international survey on invasive lobular breast cancer (ILC) reveals gaps in knowledge and top priority research areas [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-05-10.
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Affiliation(s)
| | | | - ADRIAN V. LEE
- 3UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | | | - Patrick Derksen
- 5Division of Molecular Biology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Otto Metzger
- 7Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | | | | | | | | | | | - Karen Van Baelen
- 14Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium, Leuven, Vlaams-Brabant, Belgium
| | | | | | | | | | | | - Christine Desmedt
- 20Laboratory for Translation Breast Cancer Research/KU Leuven, Belgium
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13
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Wang X, Venet D, Lifrange F, Larsimont D, Rediti M, Stenbeck L, Gacquer D, Dupont F, Rouas G, Serra M, Lundeberg J, Rothé F, Sotiriou C. Abstract PD4-01: PD4-01 Spatial transcriptomics reveals a substantial heterogeneity in TNBC tumor and stroma compartments with potential clinical implications. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-pd4-01] [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: 03/06/2023]
Abstract
Abstract
Background Triple negative breast cancer (TNBC) is a heterogeneous disease characterized by at least five molecular subtypes, namely basal like (BL), immunomodulatory (IM), luminal androgen receptor (LAR), mesenchymal (M) and mesenchymal stem like (MSL), associated with distinct gene expression, genomic and tumor microenvironment (TME) profiles. Recent technological advances allow to investigate intratumor geographic heterogeneity ignored by bulk tumor analyses. Here, we deployed spatial transcriptomics (ST) to interrogate tumor and stroma compartments heterogeneity and assess its association with clinical outcome. Methods Spatial transcriptomics (Visium® Spatial Gene Expression, 10X Genomics) was performed on a retrospective series of 94 case-control TNBC samples matched for known clinic-pathological parameters with available long term outcome. Detailed morphological annotations spanning 11 histomorphological categories were performed by a breast dedicated pathologist assisted by the automated QuPath digital pathology software. Bioinformatic analyses were performed using in house pipelines. Results We investigated the distribution of each morphological category across the five TNBC molecular subtypes. We found that LAR, M and MSL, even though they had less tumor cells, had more patches of very small size (p< 0.0001). On the other hand, BL and IM had few large and dense patches. Stroma had an opposite distribution compared to tumor, with LAR and MSL being enriched with stroma (p< 00001). Tumor infiltrating lymphocytes were specific of the IM (p< 0.0001) and to a lesser extent the BL subtype. Normal structures, like fat tissue (p< 0.008), lactiferous ducts (p< 0.03) and vessels (p< 0.02), were more present in MSL and LAR. The differences between the molecular subtypes are mirrored at the level of their cell composition and tumor organization, suggesting the possibility to assess TNBC molecular subtypes from imaging data alone. At the gene expression level, spatial deconvolution analyses revealed the co-existence of tumor and stroma compartments from different TNBC subtypes within a tumor sample of a given subtype as defined by bulk tumor analysis. Interestingly, these different tumor-stroma combinations were associated with prognosis. For example, M tumors associated with MSL stroma seem to have a better prognosis than M tumors with an M stroma (p=0.001). Furthermore, spatial resolution of the gene expression identified 418 individual clusters (median 4 clusters per sample) associated with specific molecular and cellular features highlighting a substantial intra-patient heterogeneity. These clusters were further grouped into 11 ecotypes associated with distinct hallmarks and pathways, including EMT, angiogenesis, DNA repair and immune profiles revealing an important inter-patient heterogeneity beyond TNBC classification. Interestingly, 2 ecotypes were identified within the IM subtype associated with distinct clinical outcome, with ecotype 6 characterized by high EMT, mesenchymal stroma and worse prognosis (p = 0,021). Conclusion To our knowledge, this is the largest study demonstrating the substantial intra- and inter-patient heterogeneity characterizing TNBC at an unprecedented level, with differences both in tumor and stroma composition as well as spatial organization and clinical outcome. Our results hightlight the need to consider TNBC heterogeneity for patient care and future clinical development including immunotherapy.
Citation Format: Xiaoxiao Wang, David Venet, Frédéric Lifrange, Denis Larsimont, Mattia Rediti, Linnea Stenbeck, David Gacquer, Floriane Dupont, Ghizlane Rouas, Matteo Serra, Joakim Lundeberg, Françoise Rothé, Christos Sotiriou. PD4-01 Spatial transcriptomics reveals a substantial heterogeneity in TNBC tumor and stroma compartments with potential clinical implications [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD4-01.
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Affiliation(s)
| | - David Venet
- 2Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Frédéric Lifrange
- 3Department of Pathology, University Hospital Center of Liege, Liege, Belgium
| | - Denis Larsimont
- 4Laboratoire d’Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- 5Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Linnea Stenbeck
- 6Science for Life Laboratory, Division of Gene Technology, Sweden
| | | | | | - Ghizlane Rouas
- 9Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Matteo Serra
- 10Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Joakim Lundeberg
- 11Science for Life Laboratory, Division of Gene Technology, Sweden
| | - Françoise Rothé
- 12Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- 13Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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Van Baelen K, Nguyen HL, Richard F, Hamy AS, Toussaint A, Reyal F, Salomon A, Dirix L, Vermeulen P, Wuyts H, Karsten M, Dordevic AD, Marta GN, de Azambuja E, Sotiriou C, Larsimont D, Amato O, Maetens M, De Schepper M, Geukens T, Han S, Baert T, Punie K, Wildiers H, Remmerie C, Smeets A, Nevelsteen I, Floris G, Biganzoli E, Neven P, Desmedt C. Abstract P3-05-40: Association of body mass index with clinicopathological features and survival in patients with primary ER+/HER2- invasive lobular breast cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p3-05-40] [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: 03/06/2023]
Abstract
Abstract
Background: Invasive lobular carcinoma (ILC) represents up to 15% of all breast carcinomas. The majority of ILC express the estrogen receptor (ER) and have no amplification/overexpression of the human epidermal growth factor receptor 2 (HER2). A high body mass index (BMI) has been associated with an increased risk of developing ILC in postmenopausal women, similar to what is seen for breast cancer of no special type (NST). It is however unknown if BMI impacts the clinicopathological features and the prognosis of ILC.
Methods: We performed a multicentric retrospective study in 5 European centers of patients diagnosed between January 2000 and December 2020 with ER+/HER2- non-metastatic pure (i.e., not mixed) ILC. Patient and tumor characteristics and event-related data were collected. BMI was categorized into underweight (≤18.5kg/m2), lean (>18.5kg/m2 and < 25kg/m2), overweight (≥25kg/m2 and < 30kg/m2) and obese (≥30kg/m2). The association of BMI as either a continuous or a categorical variable with clinicopathological variables was assessed using linear regression or ordinal logistic regression, respectively. Median follow-up was calculated using the reverse Kaplan-Meier estimator. Survival analyses using univariable (stratified by center) and multivariable (adjusted for all included variables and stratified by center) Cox regression were performed to evaluate the association of BMI with disease free survival (DFS), distant recurrence free survival (DRFS) and overall survival (OS). DFS and DRFS were analyzed in the presence of death without event as the competing risk.
Results: The data of 2476 patients were collected and BMI was available for 2346 patients. In total, 1299 (55%) patients were lean, 638 (27%) overweight and 339 (14%) obese. Underweight patients only represented 3% of all patients and were thus excluded from further analyses. A higher age at diagnosis, higher grade, larger tumor size, nodal involvement and multifocality were significantly associated with higher BMI (Table 1). The median follow-up was 8,5 years (interquartile range 59.24 – 142.13 months). In univariable analysis, higher BMI was associated with worse survival outcomes (Table 2). However, this association was not seen in multivariable analysis while grade, tumor size and nodal involvement were still prognostic for all endpoints. Similar results were seen with BMI as a continuous variable.
Conclusion: Larger tumors and nodal involvement were more likely to be found in patients with ER+/HER2- ILC with higher BMI which might be explained by a delayed diagnosis in these patients. Higher grade also seemed to be associated with higher BMI. In multivariable analyses, BMI was not found to be an independent prognostic factor. Tumor grade, tumor size, and nodal status remained strongly prognostic for survival outcomes in multivariable survival analyses which is consistent with their known prognostic importance in luminal tumors. We hypothesize that the prognostic effect of BMI is mediated through these variables for patients with ER+/HER2- ILC.
Table 1. Association of clinicopathological features of ER+/HER2- ILC with categorical BMI.
Table 2. Association of categorical BMI and other clinicopathological features of ER+/HER2- ILC with survival.
Citation Format: Karen Van Baelen, Ha-Linh Nguyen, François Richard, Anne-Sophie Hamy, Aullène Toussaint, Fabien Reyal, Anne Salomon, Luc Dirix, Peter Vermeulen, Hilde Wuyts, Maria Karsten, Adam D. Dordevic, Guilherme Nader Marta, Evandro de Azambuja, Christos Sotiriou, Denis Larsimont, Ottavia Amato, Marion Maetens, Maxim De Schepper, Tatjana Geukens, Sileny Han, Thaïs Baert, Kevin Punie, Hans Wildiers, Chantal Remmerie, Ann Smeets, Ines Nevelsteen, Giuseppe Floris, Elia Biganzoli, Patrick Neven, Christine Desmedt. Association of body mass index with clinicopathological features and survival in patients with primary ER+/HER2- invasive lobular breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P3-05-40.
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Affiliation(s)
- Karen Van Baelen
- 1Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium, Leuven, Vlaams-Brabant, Belgium
| | - Ha-Linh Nguyen
- 2Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Vlaams-Brabant, Belgium
| | - François Richard
- 3Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | | | | | | | | | - Luc Dirix
- 8Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium
| | - Peter Vermeulen
- 9Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium
| | - Hilde Wuyts
- 10Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, GZA hospitals, Antwerp, Belgium
| | | | | | - Guilherme Nader Marta
- 13Academic Trials Promoting Team, Institut Jules Bordet and l’Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Evandro de Azambuja
- 14Academic Trials Promoting Team and Medical Oncology Department, Institut Jules Bordet and l’Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Christos Sotiriou
- 15Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Denis Larsimont
- 16Laboratoire d’Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium, Belgium
| | - Ottavia Amato
- 17Clinical Trials Conduct Unit, Institut Jules Bordet, Belgium
| | - Marion Maetens
- 18Laboratory for Translational Breast Cancer Research, KU Leuven, Leuven, Belgium, Belgium
| | - Maxim De Schepper
- 19Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium & Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Tatjana Geukens
- 20Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sileny Han
- 21University Hospitals Leuven, Leuven, Vlaams-Brabant, Belgium
| | | | - Kevin Punie
- 23Department of General Medical Oncology and Multidisciplinary Breast Centre, Leuven Cancer Institute and University Hospitals Leuven, Belgium
| | | | - Chantal Remmerie
- 25Multidisciplinary Breast cancer Center (MBC), University Hospitals Leuven, Leuven, Belgium
| | - Ann Smeets
- 26Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ines Nevelsteen
- 27Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium, Leuven, Belgium
| | | | - Elia Biganzoli
- 29Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) “L. Sacco” & DSRC, LITA Vialba campus, University of Milan, Milan, Italy
| | - Patrick Neven
- 30Universitair Ziekenhuis Leuven, Leuven, Belgium, Leuven, Vlaams-Brabant, Belgium
| | - Christine Desmedt
- 31Laboratory for Translation Breast Cancer Research/KU Leuven, Belgium
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Garcia AJ, Semba T, Rediti M, McGrail DJ, Xie X, Wang X, Rampa DR, Venet D, Majjaj S, Kammler R, Colleoni M, Loi S, Viale G, Regan M, Rothé F, Sotiriou C, Ueno NT. Abstract PD9-07: Role of immunosuppressive JNK pathway in the tumor microenvironment among Triple Negative Breast Cancer subtypes in IBCSG Trial 22-00. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-pd9-07] [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: 03/06/2023]
Abstract
Abstract
BACKGROUND: Although the triple-negative breast cancer (TNBC) tumor microenvironment (TME) has been deeply characterized, much remains unknown about pathways attributing to an immunosuppressive TME in this disease. The phosphorylation of JNK (c-Jun N-terminal kinase) pathway has been associated with promoting an immunosuppressive phenotype, enhancing TNBC aggressiveness. Here, we aimed to explore the role of the JNK pathway in TNBC using a gene signature inferring the level of JNK phosphorylation. For this purpose, we used the TNBC cohort from the phase III adjuvant IBCSG 22-00 trial, which evaluated low-dose cyclophosphamide and methotrexate (CM) chemotherapy showing no clinical benefit in the overall population. METHODS: JNK gene signature was developed in TNBC samples by integrating RNA-seq gene expression data and phospho-JNK-targeted proteomic data in The Cancer Genome Atlas. Stochastic subsampling was performed to select the candidate markers. LASSO regression was performed to determine the final transcriptional signature to reflect JNK phosphorylation. The signature was then applied in a cohort composed of 498 TNBCs selected using stratified 1:3 relapse cases and non-relapse subcohort ratio from the IBCSG 22-00 trial. RNA-seq data from FFPE tumor samples were available for 347 patients. The JNK signature was calculated as the mean of the products between gene expression and signature coefficients, defining high and low levels using the median cut-off. Immune hot tumors were defined according to TNBC molecular subtypes or tumor-infiltrating lymphocytes (TILs) levels higher than 30%. Multivariable Cox models were used for disease-free survival (DFS) analysis. Wilcoxon test was used to evaluate the association between gene signatures and the levels of JNK. RESULTS: Tumors with either immunomodulatory (IM) phenotype or high TILs showed better DFS when presenting low levels of JNK compared to high levels (HR = 0.75, 95% CI, 0.57 to 0.99; P-value = 0.024 and HR = 0.62, 95% CI, 0.43 to 0.89, P-value = 0.0013). No significant differences in DFS were observed in other TNBC subtypes or tumors with low TILs, further highlighting the relevance of JNK signaling pathway in tumors presenting immune infiltration. Moreover, immune hot tumors with high levels of JNK were enriched for angiogenesis and eosinophils signatures and linked to immunosuppression. The immune targets B7-H3, CSF1R, GITR, and GARP were significantly associated with high levels of JNK. Of note, these genes are involved in the immune escape, activation of macrophages, and regulation of Tregs population. On the other hand, low levels of JNK were associated with higher levels of activated CD8+ T cells, pointing to an anti-tumor immune response, as well as with higher levels of the immune targets PDL-1, CTLA4, CD47, DCIR, and TIGIT. Of interest, a significant DFS benefit was found in IM tumors with high levels of JNK when treated with low-dose CM, compared to those who were not (HR = 0.52, 95% CI, 0.28 to 0.99; P interaction = 0.045). CONCLUSIONS: We developed a JNK gene signature to estimate the phosphorylation level of JNK from gene expression data in TNBC, and validated the associated biological and prognostic value in the IBCSG 22-00 trial. Our results are in line with the immunosuppressive effect described by the JNK gene signature and highlight the heterogeneity of immune response in immune hot TNBCs. Of note, high levels of JNK were associated with worse DFS, as well as with a benefit from low-dose CM potentially related to the immunomodulatory effect described for metronomic regimens. Overall, our findings suggest a potential role of the JNK signature in identifying TNBCs with an immunosuppressive TME and provide the rationale to explore its role as a biomarker for immunotherapy. Further validation of these findings is required.
Citation Format: Andrea Joaquin Garcia, Takashi Semba, Mattia Rediti, Daniel J. McGrail, Xuemei Xie, Xiaoping Wang, Dileep R. Rampa, David Venet, Samira Majjaj, Roswitha Kammler, Marco Colleoni, Sherene Loi, Giuseppe Viale, Meredith Regan, Françoise Rothé, Christos Sotiriou, Naoto T. Ueno. Role of immunosuppressive JNK pathway in the tumor microenvironment among Triple Negative Breast Cancer subtypes in IBCSG Trial 22-00 [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD9-07.
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Affiliation(s)
- Andrea Joaquin Garcia
- 1Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Takashi Semba
- 2International Research Center for Medical Sciences, Kumamoto, Japan
| | - Mattia Rediti
- 3Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Daniel J. McGrail
- 44Center for Immunotherapy & Precision Immuno-Oncology, Cleveland Clinic
| | | | | | | | - David Venet
- 8Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Samira Majjaj
- 9Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | | | - Marco Colleoni
- 11Division of Medical Senology, IEO, European Institute of Oncology, IRCCS, Milan, Lombardia, Italy
| | - Sherene Loi
- 12Peter MacCallum Cancer Centre, Melbourne, Australia, Australia
| | - Giuseppe Viale
- 13European Institute of Oncology IRCCS, and University of Milan, Milan, Italy, Milan, Italy
| | | | - Françoise Rothé
- 15Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Christos Sotiriou
- 16Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium, Belgium
| | - Naoto T. Ueno
- 17The University of Texas MD Anderson Cancer Center, Houston, TX, Houston, Texas
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Serra M, Rediti M, Lifrange F, Venet D, Occelli N, Collet L, Vincent D, Rouas G, Craciun L, Larsimont D, Vikkula M, Duhoux FP, Rothé F, Sotiriou C. Abstract P2-21-01: Decoding Inter- and Intra-Tumor Heterogeneity in Lobular Breast Cancer Using Spatial Transcriptomics and Clustering Analysis. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p2-21-01] [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: 03/06/2023]
Abstract
Abstract
Background: Invasive lobular breast carcinoma (ILC) represents 5 to 15% of all invasive breast cancers. Recent studies showed the importance of tumor microenvironment (TME) heterogeneity on patient outcome. Here, we aim to characterize TME spatial heterogeneity by performing clustering analysis on spatial transcriptomics (ST) data. Methods: Frozen tumor samples from 43 primary estrogen receptor positive, HER2-negative ILCs were characterized using ST (Visium, 10x Genomics), each ST slide containing 4992 spots. Hematoxylin/eosin (H&E) stained ST slides were annotated (QuPath software) reaching single cell resolution. After performing normalization, hierarchical clustering (STutility R package) across all samples was carried out on principal components computed using highly variable genes. Clusters were characterized using morphological annotation and gene set enrichment analysis for hallmark gene sets from MSigDB (FGSEA R package). A cluster of spots was defined as tumoral or stromal if the average proportion of pixels annotated as tumor or stroma across its constitutive spots was higher than the average proportion of tumor or stroma pixels across all spots of our cohort. Spatial heterogeneity was assessed by comparing the number of contacts between spots belonging to the same cluster (homo-contacts) and the number of contacts between spots belonging to different clusters (hetero-contacts). Comparisons between groups were assessed using Wilcoxon test. Results: Out of the 43 ILC samples, 19 were T2 or T3, 13 were node-positive and 34 were grade 2. Of note, 9 patients experienced disease relapse. Morphological annotation revealed that an average of 20.4%, 61.12%, 11.5%, 0.45%, 3% of the tissues in our dataset corresponded to tumor, stroma, adipose tissue, immune infiltrate and normal structures (vessels, normal breast), respectively. Bioinformatics analysis revealed 7 tumor, 11 stroma, and 6 normal structures clusters, as well as 8 mixed clusters with no predominant morphological structure, with a median of 22 clusters per sample. Tumor and stroma clusters were either shared across all samples or present only in specific samples. Overall, tumor clusters were characterized by an enrichment in estrogen and androgen response related pathways. Moreover, tumor clusters enriched in oxidative phosphorylation, G2M checkpoint and MYC targets were more present in samples with higher histopathological grade (p=0.016), whereas tumor clusters enriched in interferon alpha/gamma response related pathway were associated with a higher tumor stage (p=0.007). A higher number of hetero-contacts among tumor spots were associated with disease relapse (p=0.02). Similarly, a higher number of hetero-contacts among stroma spots including immune and adipose related clusters was also found in samples from patients who experienced disease relapse (p=0.01). Overall, these findings suggest a role of both tumor and stroma spatial disorganization and heterogeneity in tumor progression. Furthermore, clusters capturing the presence of normal breast and in situ carcinoma were enriched in samples from patients who did not relapse (p< 0.001). Conclusion: Our results revealed the substantial inter- and intra-patient heterogeneity of ILC both at the tumor and microenvironment levels. Different tumor and stroma clusters characterized by specific hallmarks were associated to specific clinical features and disease outcome, unraveling potential new targets for optimizing ILC care. Further validation is needed.
Citation Format: Matteo Serra, Mattia Rediti, Frédéric Lifrange, David Venet, Nicola Occelli, Laetitia Collet, Delphine Vincent, Ghizlane Rouas, Ligia Craciun, Denis Larsimont, Miikka Vikkula, Francois P. Duhoux, Françoise Rothé, Christos Sotiriou. Decoding Inter- and Intra-Tumor Heterogeneity in Lobular Breast Cancer Using Spatial Transcriptomics and Clustering Analysis [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-21-01.
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Affiliation(s)
- Matteo Serra
- 1Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- 2Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Frédéric Lifrange
- 3Department of Pathology, University Hospital Center of Liege, Liege, Belgium
| | - David Venet
- 4Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Nicola Occelli
- 5Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Laetitia Collet
- 6Medical Oncology Department, Centre Léon Bérard, Lyon, France
| | - Delphine Vincent
- 7Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ghizlane Rouas
- 8Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ligia Craciun
- 9Laboratoire d’Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Denis Larsimont
- 10Laboratoire d’Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Miikka Vikkula
- 11Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | | | - Françoise Rothé
- 13Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- 14Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Antonello D, von Mering C, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, 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George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Adams DJ, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Agrawal N, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ahn KS, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Ahn SM, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Aikata H, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Akbani R, von Mering C, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, 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Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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Bizet M, Defrance M, Calonne E, Bontempi G, Sotiriou C, Fuks F, Jeschke J. Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods. Epigenetics 2022; 17:2434-2454. [DOI: 10.1080/15592294.2022.2135201] [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: 11/11/2022] Open
Affiliation(s)
- Martin Bizet
- Laboratory of Cancer Epigenetics, Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Matthieu Defrance
- Interuniversity Institute of Bioinformatics in Brussels (IB2), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Emilie Calonne
- Laboratory of Cancer Epigenetics, Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gianluca Bontempi
- Interuniversity Institute of Bioinformatics in Brussels (IB2), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | | | - François Fuks
- Laboratory of Cancer Epigenetics, Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institut Jules Bordet, ULB, Brussels, Belgium
| | - Jana Jeschke
- Laboratory of Cancer Epigenetics, Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institut Jules Bordet, ULB, Brussels, Belgium
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Yernaux M, Chretien S, Rothé F, Wang X, Rouas G, Boisson A, Kotecki N, Mailliez A, Larsimont D, Venet D, Sotiriou C, Buisseret L. 224P Immune characterization of de novo metastatic breast cancer. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Di Cosimo S, Pizzamiglio S, Sotiriou C, Ciniselli C, Triulzi T, de Cecco L, El-Abed S, Izquierdo M, de Azambuja E, Saura C, Huober J, Untch M, Lang I, Loi S, Tagliabue E, Rubio I, Vingiani A, Colombo M, Verderio P, Pruneri G. Gene expression profile at week 2 of neoadjuvant therapy course predicts outcome in HER2-positive breast cancer patients: an explorative analysis from NeoALTTO. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01561-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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22
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Wang X, Venet D, Lifrange F, Larsimont D, Rediti M, Stenbeck L, Gacquer D, Dupont F, Rouas G, Serra M, Lundeberg J, Rothé F, Sotiriou C. 1711P Spatial transcriptomics reveals substantial heterogeneity in TNBC tumor and stroma compartments with potential clinical implications. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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23
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Rediti M, Venet D, Joaquin Garcia A, Agbor-tarh D, Maetens M, Vincent D, Majjaj S, El-Abed S, Liu M, Di Cosimo S, Piccart M, Pusztai L, Loi S, Salgado R, Viale G, Rothé F, Sotiriou C. 139MO Identification of biologically-driven HER2-positive breast cancer subgroups associated with prognosis after adjuvant trastuzumab in the ALTTO trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Cailleux F, Agostinetto E, Lambertini M, Rothé F, Wu HT, Balcioglu M, Kalashnikova E, Vincent D, Viglietti G, Gombos A, Papagiannis A, Veys I, Awada A, Sethi H, Aleshin A, Larsimont D, Sotiriou C, Venet D, Ignatiadis M. Circulating Tumor DNA After Neoadjuvant Chemotherapy in Breast Cancer Is Associated With Disease Relapse. JCO Precis Oncol 2022; 6:e2200148. [PMID: 36170624 DOI: 10.1200/po.22.00148] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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
PURPOSE Detection of circulating tumor DNA (ctDNA) after neoadjuvant chemotherapy in patients with early-stage breast cancer may allow for early detection of relapse. In this study, we analyzed ctDNA using a personalized, tumor-informed multiplex polymerase chain reaction-based next-generation sequencing assay. METHODS Plasma samples (n = 157) from 44 patients were collected before neoadjuvant therapy (baseline), after neoadjuvant therapy and before surgery (presurgery), and serially postsurgery including a last follow-up sample. The primary end point was event-free survival (EFS) analyzed using Cox regression models. RESULTS Thirty-eight (86%), 41 (93%), and 38 (86%) patients had baseline, presurgical, and last follow-up samples, respectively. Twenty patients had hormone receptor-positive/human epidermal growth factor receptor 2-negative, 13 had triple-negative breast cancer, and 11 had human epidermal growth factor receptor 2-positive disease. Baseline ctDNA detection was observed in 22/38 (58%) patients and was significantly associated with Ki67 > 20% (P = .036) and MYC copy-number gain (P = .0025, false discovery rate = 0.036). ctDNA detection at presurgery and at last follow-up was observed in 2/41 (5%) and 2/38 (5%) patients, respectively. Eight relapses (seven distant and one local) were noted (median follow-up 3.03 years [range, 0.39-5.85 years]). After adjusting for pathologic complete response (pCR), ctDNA detection at presurgery and at last follow-up was associated with shorter EFS (hazard ratio [HR], 53; 95% CI, 4.5 to 624; P < .01, and HR, 31; 95% CI, 2.7 to 352; P < .01, respectively). Association between baseline detection and EFS was not observed (HR, 1.4; 95% CI, 0.3 to 5.9; P = .67). CONCLUSION The presence of ctDNA after neoadjuvant chemotherapy is associated with relapse in early-stage breast cancer, supporting interventional trials for testing the clinical utility of ctDNA monitoring in this setting.
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Affiliation(s)
- Frédéric Cailleux
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Elisa Agostinetto
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium.,Humanitas University, Milan, Italy
| | | | - Françoise Rothé
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | | | | | | | - Delphine Vincent
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Giulia Viglietti
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Andrea Gombos
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | | | - Isabelle Veys
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Ahmad Awada
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Denis Larsimont
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - David Venet
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Michail Ignatiadis
- Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
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Joaquin Garcia A, Rediti M, Venet D, Majjaj S, Kammler R, Colleoni M, Loi S, Viale G, Regan M, Rothé F, Sotiriou C. 136MO Differential benefit of low-dose cyclophosphamide and methotrexate maintenance chemotherapy among TNBC subtypes in the context of the IBCSG 22-00 study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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26
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Fimereli D, Venet D, Rediti M, Boeckx B, Maetens M, Majjaj S, Rouas G, Marchio C, Bertucci F, Mariani O, Capra M, Bonizzi G, Contaldo F, Galant C, Van den Eynden G, Salgado R, Biganzoli E, Vincent-Salomon A, Pruneri G, Larsimont D, Lambrechts D, Desmedt C, Brown DN, Rothé F, Sotiriou C. Timing evolution of lobular breast cancer through phylogenetic analysis. EBioMedicine 2022; 82:104169. [PMID: 35882101 PMCID: PMC9309404 DOI: 10.1016/j.ebiom.2022.104169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Danai Fimereli
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - David Venet
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Bram Boeckx
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium; Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Marion Maetens
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium; Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Samira Majjaj
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ghizlane Rouas
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Caterina Marchio
- Department of Medical Sciences, University of Turin, Turin, Italy; FPO-IRCCS Candiolo Cancer Institute, Candiolo, Italy
| | - Francois Bertucci
- Predictive Oncology Laboratory, Institut Paoli-Calmettes, CRCM, INSERM U1068, CNRS UMR7258, Aix-Marseille Université Marseille, France
| | - Odette Mariani
- Department of Pathology, Institut Curie, Paris Sciences Lettres Research University, Paris, France
| | - Maria Capra
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Giuseppina Bonizzi
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Federica Contaldo
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Christine Galant
- Department of Pathology, Cliniques Universitaires Saint Luc, Brussels, Belgium; IREC, Université Catholique de Louvain, Brussels, Belgium
| | | | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium; Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia
| | - Elia Biganzoli
- Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, University of Milan, Milan, Italy
| | - Anne Vincent-Salomon
- Department of Pathology, Institut Curie, Paris Sciences Lettres Research University, Paris, France
| | - Giancarlo Pruneri
- Division of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; School of Medicine, University of Milan, Milano, Milan, Italy
| | - Denis Larsimont
- Department of Pathology, Institut Jules Bordet, Brussels, Belgium
| | - Diether Lambrechts
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium; Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - David N Brown
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Françoise Rothé
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
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27
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van Rees DJ, Bouti P, Klein B, Verkuijlen PJH, van Houdt M, Schornagel K, Tool ATJ, Venet D, Sotiriou C, El-Abed S, Izquierdo M, Guillaume S, Saura C, Di Cosimo S, Huober J, Roylance R, Kim SB, Kuijpers TW, van Bruggen R, van den Berg TK, Matlung HL. Cancer cells resist antibody-mediated destruction by neutrophils through activation of the exocyst complex. J Immunother Cancer 2022; 10:e004820. [PMID: 35728876 PMCID: PMC9214435 DOI: 10.1136/jitc-2022-004820] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Neutrophils kill antibody-opsonized tumor cells using trogocytosis, a unique mechanism of destruction of the target plasma. This previously unknown cytotoxic process of neutrophils is dependent on antibody opsonization, Fcγ receptors and CD11b/CD18 integrins. Here, we demonstrate that tumor cells can escape neutrophil-mediated cytotoxicity by calcium (Ca2+)-dependent and exocyst complex-dependent plasma membrane repair. METHODS We knocked down EXOC7 or EXOC4, two exocyst components, to evaluate their involvement in tumor cell membrane repair after neutrophil-induced trogocytosis. We used live cell microscopy and flow cytometry for visualization of the host and tumor cell interaction and tumor cell membrane repair. Last, we reported the mRNA levels of exocyst in breast cancer tumors in correlation to the response in trastuzumab-treated patients. RESULTS We found that tumor cells can evade neutrophil antibody-dependent cellular cytotoxicity (ADCC) by Ca2+-dependent cell membrane repair, a process induced upon neutrophil trogocytosis. Absence of exocyst components EXOC7 or EXOC4 rendered tumor cells vulnerable to neutrophil-mediated ADCC (but not natural killer cell-mediated killing), while neutrophil trogocytosis remained unaltered. Finally, mRNA levels of exocyst components in trastuzumab-treated patients were inversely correlated to complete response to therapy. CONCLUSIONS Our results support that neutrophil attack towards antibody-opsonized cancer cells by trogocytosis induces an active repair process by the exocyst complex in vitro. Our findings provide insight to the possible contribution of neutrophils in current antibody therapies and the tolerance mechanism of tumor cells and support further studies for potential use of the exocyst components as clinical biomarkers.
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Affiliation(s)
- Dieke J van Rees
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Panagiota Bouti
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Bart Klein
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Paul J H Verkuijlen
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Michel van Houdt
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Karin Schornagel
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Anton T J Tool
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - David Venet
- Breast Cancer Translational Research Laboratory JC Heuson, Institut Jules Bordet, Bruxelles, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory JC Heuson, Institut Jules Bordet, Bruxelles, Belgium
| | | | | | - Sébastien Guillaume
- Department of Psychiatric Emergency & Acute Care, Lapeyronie Hospital, Montpellier, France
| | - Cristina Saura
- SOLTI Innovative Breast Cancer Research, Vall d'Hebron Hospital Universitari, Barcelona, Spain
| | | | - Jens Huober
- Breast Center, University of Ulm, Ulm, Germany
| | - Rebecca Roylance
- Department of Oncology, University College London Hospitals NHS Foundation Trust and NIHR University College London Hospitals Biomedical Research Centre, London, UK
| | - Sung-Bae Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Taco W Kuijpers
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
- Department of Pediatric Immunology and Infectious Diseases, Emma Children's Hospital, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Robin van Bruggen
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
| | - Timo K van den Berg
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
- Department of Molecular Cell Biology and Immunology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hanke L Matlung
- Department of Molecular Hematology, Sanquin Research, Amsterdam, The Netherlands
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28
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Fernandez-Martinez A, Rediti M, Tang G, Pascual T, Hoadley KA, Venet D, Rashid N, Spears P, Islam MN, El-Abed S, Bliss J, Lambertini M, Huober JB, Goerlitz D, Hu R, Lucas PC, Swain SM, Sotiriou C, Perou CM, Carey LA. Prognostic and predictive implications of the intrinsic subtypes and gene expression signatures in early-stage HER2+ breast cancer: A pooled analysis of CALGB 40601, NeoALTTO, and NSABP B-41 trials. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.509] [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
509 Background: Several biologic features are implicated in the differences in response and survival to dual (trastuzumab and lapatinib [HL]) vs. single (trastuzumab [H]) HER2-blockade across neoadjuvant trials in early-stage HER2+ breast cancer. We evaluated the association of intrinsic subtypes and gene expression signatures with pathologic complete response (pCR) and event-free survival (EFS) in a pooled analysis of three independent phase III neoadjuvant studies with similar designs: CALGB 40601 (Alliance), NeoALTTO, and NSABP B-41. Methods: Gene expression profiling by RNA sequencing was assessed on 761 pre-treatment samples (264 from CALGB 40601, 249 from NeoALTTO, 248 from NSABP B-41). Intrinsic subtypes and 759 gene expression signatures were calculated. We studied the association of pCR and the benefit of dual (HL) vs. single (H) HER2-blockade by tumor intrinsic subtype in the pooled set. The ability of multiple gene expression signatures to predict pCR and EFS across the three studies was also tested by logistic and Cox regression analyses. Results: pCR status was associated with EFS only in HER2-Enriched (HR 0.45, 95% CI 0.29-0.71, p-value < 0.001) and Basal-like (HR 0.19, 95% CI 0.04-0.86, p-value 0.031) intrinsic subtypes, but not in Luminal and/or ER+ tumors. The EFS benefit of dual vs. single HER2-blockade was limited to HER2-Enriched tumors (HR 0.47, 95% CI 0.27-0.81, p-value 0.007). When evaluating the three clinical trials separately, we found 89/759 (11.7%) gene expression signatures in common for the prediction of pCR across the three clinical trials, including HER2-amplicon and immune activation signatures. Luminal-related signatures were associated with lower pCR rates but better EFS outcomes, especially in patients with residual disease. Stratified Cox regression models by study showed a significant and strong association of NK, B and plasma cells, as well as Ig-related signatures with a better EFS outcome, while vascular, proliferation, and metastasis signatures were associated with poor EFS. Conclusions: In early-stage HER2+ breast cancer, the relationship between pCR and EFS differs by tumor intrinsic subtype, and the benefit of dual vs. single HER2-blockade seems to be limited to HER2-Enriched subtype tumors. Immune signatures were associated with higher pCR rates and better EFS, luminal signatures were associated with lower pCR rates but good EFS outcomes, and vascular/proliferation/metastasis signatures were associated with poor EFS across the three clinical trials. Clinical trial identification: CALGB 40601: NCT00770809. (CALGB is part of the Alliance for Clinical Trials in Oncology). NeoALTTO: NCT00553358 NSABP B-41: NCT00486668
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Affiliation(s)
- Aranzazu Fernandez-Martinez
- Lineberger Comprehensive Cancer Center, Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Mattia Rediti
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Gong Tang
- NSABP, and University of Pittsburgh, Pittsburgh, PA
| | - Tomas Pascual
- Lineberger Comprehensive Cancer Center, Department of Genetics, University of North Carolina. Department of Medical Oncology, Hospital Clínic de Barcelona, IDIBAPS, SOLTI, Barcelona, NC, Spain
| | - Katherine A. Hoadley
- Lineberger Comprehensive Cancer Center, Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - David Venet
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Naim Rashid
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC
| | - Patricia Spears
- Lineberger Compehensive Cancer Center at University of North Carolina, Chapel Hill, NC
| | - Md N. Islam
- Genomics and Epigenomics Shared Resource (GESR), Georgetown University Medical Center, Washington, DC
| | | | - Judith Bliss
- The Institute of Cancer Research, Clinical Trials & Statistics Unit, London, United Kingdom
| | - Matteo Lambertini
- IRCCS Ospedale Policlinico San Martino-University of Genova, Genoa, Italy
| | - Jens Bodo Huober
- Kantonsspital St.Gallen, Brustzentrum, Departement Interdisziplinäre medizinische Dienste, St.Gallen, Switzerland
| | - David Goerlitz
- Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Rong Hu
- Genomics and Epigenomics Shared Resource (GESR), Georgetown University Medical Center, Washington, DC
| | - Peter C. Lucas
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Sandra M. Swain
- Georgetown University Medical Center and MedStar Health, Washington, DC
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Lisa A. Carey
- Lineberger Comprehensive Cancer Center, Division of Medical Oncology, Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC
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Chumsri S, Li Z, Serie DJ, Norton N, Mashadi-Hossein A, Tenner K, Brauer HA, Warren S, Danaher P, Colon-Otero G, Partridge AH, Carey LA, Hilbers F, Van Dooren V, Holmes E, Di Cosimo S, Werner O, Huober JB, Dueck AC, Sotiriou C, Saura C, Moreno-Aspitia A, Knutson KL, Perez EA, Thompson EA. Adaptive immune signature in HER2-positive breast cancer in NCCTG (Alliance) N9831 and NeoALTTO trials. NPJ Breast Cancer 2022; 8:68. [PMID: 35610260 PMCID: PMC9130150 DOI: 10.1038/s41523-022-00430-0] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/19/2022] [Indexed: 12/14/2022] Open
Abstract
Trastuzumab acts in part through the adaptive immune system. Previous studies showed that enrichment of immune-related gene expression was associated with improved outcomes in HER2-positive (HER2+) breast cancer. However, the role of the immune system in response to lapatinib is not fully understood. Gene expression analysis was performed in 1,268 samples from the North Central Cancer Treatment Group (NCCTG) N9831 and 244 samples from the NeoALTTO trial. In N9831, enrichment of CD45 and immune-subset signatures were significantly associated with improved outcomes. We identified a novel 17-gene adaptive immune signature (AIS), which was found to be significantly associated with improved RFS among patients who received adjuvant trastuzumab (HR 0.66, 95% CI 0.49-0.90, Cox regression model p = 0.01) but not in patients who received chemotherapy alone (HR 0.96, 95% CI 0.67-1.40, Cox regression model p = 0.97). This result was validated in NeoALTTO. Overall, AIS-low patients had a significantly lower pathologic complete response (pCR) rate compared with AIS-high patients (χ2 p < 0.0001). Among patients who received trastuzumab alone, pCR was observed in 41.7% of AIS-high patients compared with 9.8% in AIS-low patients (OR of 6.61, 95% CI 2.09-25.59, logistic regression model p = 0.003). More importantly, AIS-low patients had a higher pCR rate with an addition of lapatinib (51.1% vs. 9.8%, OR 9.65, 95% CI 3.24-36.09, logistic regression model p < 0.001). AIS-low patients had poor outcomes, despite receiving adjuvant trastuzumab. However, these patients appear to benefit from an addition of lapatinib. Further studies are needed to validate the significance of this signature to identify patients who are more likely to benefit from dual anti-HER2 therapy. ClinicalTrials.gov Identifiers: NCT00005970 (NCCTG N9831) and NCT00553358 (NeoALTTO).
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Affiliation(s)
- Saranya Chumsri
- Jacoby Center for Breast Health, Mayo Clinic, Jacksonville, FL, USA.
| | - Zhuo Li
- Department of Health and Human Services, Mayo Clinic, Jacksonville, FL, USA
| | - Daniel J Serie
- Department of Health and Human Services, Mayo Clinic, Jacksonville, FL, USA
| | - Nadine Norton
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Kathleen Tenner
- Department of Health and Human Services, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | - Lisa A Carey
- The University of North Carolina, Chapel Hill, NC, USA
| | | | | | - Eileen Holmes
- The Frontier Science, Perth, UK
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Serena Di Cosimo
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Jens Bodo Huober
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Ulm, Ulm, Germany
| | | | | | - Cristina Saura
- Vall d'Hebrón University Hospital, Vall d'Hebron Institute of Oncology (VHIO), SOLTI Breast Cancer Research Group, Barcelona, Spain
| | | | - Keith L Knutson
- Department of Immunology, Mayo Clinic, Jacksonville, FL, USA
| | - Edith A Perez
- Jacoby Center for Breast Health, Mayo Clinic, Jacksonville, FL, USA
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30
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Di Cosimo S, Ciniselli C, Sotiriou C, Pogue-Geile K, Fumagalli D, de Azambuja E, Venet D, De Cecco L, Pong N, Cappelletti V, Tagliabue E, Wang Y, Saura Manich C, Nuciforo P, Kuemmel S, Pusztai L, Daidone M, Pizzamiglio S, Pruneri G, Verderio P. 2MO Development of a prognostic gene-expression signature for early stage HER2-positive breast cancer patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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31
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De Caluwe A, Romano E, Poortmans P, Gombos A, Laragione A, Agostinetto E, Nader Marta G, Picchia S, Vandekerkhove C, Ameye L, Craciun L, Veys I, Van Gestel D, Larsimont D, Sotiriou C, Piccart M, Ignatiadis M, Buisseret L. 98P Neo-CheckRay, radiation therapy and adenosine pathway blockade to potentiate benefit of immuno-chemotherapy in early stage luminal B breast cancer: Results of the safety run-in phase. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Chang CA, Jen J, Jiang S, Sayad A, Mer AS, Brown KR, Nixon AM, Dhabaria A, Tang KH, Venet D, Sotiriou C, Deng J, Wong KK, Adams S, Meyn P, Heguy A, Skok JA, Tsirigos A, Ueberheide B, Moffat J, Singh A, Haibe-Kains B, Khodadadi-Jamayran A, Neel BG. Ontogeny and Vulnerabilities of Drug-Tolerant Persisters in HER2+ Breast Cancer. Cancer Discov 2022; 12:1022-1045. [PMID: 34911733 PMCID: PMC8983469 DOI: 10.1158/2159-8290.cd-20-1265] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [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: 08/29/2020] [Revised: 10/14/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022]
Abstract
Resistance to targeted therapies is an important clinical problem in HER2-positive (HER2+) breast cancer. "Drug-tolerant persisters" (DTP), a subpopulation of cancer cells that survive via reversible, nongenetic mechanisms, are implicated in resistance to tyrosine kinase inhibitors (TKI) in other malignancies, but DTPs following HER2 TKI exposure have not been well characterized. We found that HER2 TKIs evoke DTPs with a luminal-like or a mesenchymal-like transcriptome. Lentiviral barcoding/single-cell RNA sequencing reveals that HER2+ breast cancer cells cycle stochastically through a "pre-DTP" state, characterized by a G0-like expression signature and enriched for diapause and/or senescence genes. Trajectory analysis/cell sorting shows that pre-DTPs preferentially yield DTPs upon HER2 TKI exposure. Cells with similar transcriptomes are present in HER2+ breast tumors and are associated with poor TKI response. Finally, biochemical experiments indicate that luminal-like DTPs survive via estrogen receptor-dependent induction of SGK3, leading to rewiring of the PI3K/AKT/mTORC1 pathway to enable AKT-independent mTORC1 activation. SIGNIFICANCE DTPs are implicated in resistance to anticancer therapies, but their ontogeny and vulnerabilities remain unclear. We find that HER2 TKI-DTPs emerge from stochastically arising primed cells ("pre-DTPs") that engage either of two distinct transcriptional programs upon TKI exposure. Our results provide new insights into DTP ontogeny and potential therapeutic vulnerabilities. This article is highlighted in the In This Issue feature, p. 873.
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Affiliation(s)
- Chewei Anderson Chang
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jayu Jen
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Shaowen Jiang
- Applied Bioinformatics Laboratories, Office of Science and Research, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Azin Sayad
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Arvind Singh Mer
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Kevin R. Brown
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | | | - Avantika Dhabaria
- Proteomics Laboratory, Division of Advanced Research and Technology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Kwan Ho Tang
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - David Venet
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet Brussels and Université Libre de Bruxelles (ULB), Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet Brussels and Université Libre de Bruxelles (ULB), Belgium.,Medical Oncology Department, Institut Jules Bordet Brussels and Université Libre de Bruxelles (ULB), Belgium
| | - Jiehue Deng
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Division of Hematology and Medical Oncology, Department of Medicine, Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Kwok-kin Wong
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Division of Hematology and Medical Oncology, Department of Medicine, Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Sylvia Adams
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Division of Hematology and Medical Oncology, Department of Medicine, Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Peter Meyn
- Genome Technology Center, Division of Advanced Research Technologies, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Adriana Heguy
- Genome Technology Center, Division of Advanced Research Technologies, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Jane A. Skok
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Department of Pathology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Aristotelis Tsirigos
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Applied Bioinformatics Laboratories, Office of Science and Research, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Department of Pathology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Beatrix Ueberheide
- Proteomics Laboratory, Division of Advanced Research and Technology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Jason Moffat
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, USA.,Department of Biomedical Engineering, University of Delaware, Newark, Delaware, USA
| | - Benjamin Haibe-Kains
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada.,Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Alireza Khodadadi-Jamayran
- Applied Bioinformatics Laboratories, Office of Science and Research, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Benjamin G. Neel
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA.,Division of Hematology and Medical Oncology, Department of Medicine, Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York University Langone Health, New York, New York, USA
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Serra M, Collet L, Rediti M, Lifrange F, Venet D, Wang X, Vincent D, Rouas G, Fimereli D, Gacquer D, Garcia AJ, Veys I, Craciun L, Larsimont D, Vikkula M, Duhoux F, Rothé F, Sotiriou C. Abstract P1-05-03: Integrating spatial transcriptomics and high-resolution morphological annotation to investigate tumor heterogeneity and PAM50 molecular subtyping in lobular breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p1-05-03] [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: Invasive lobular breast carcinoma (ILC) represents 5 to 15% of all invasive breast cancers (BCs). Here, we aim to investigate inter- and intra-tumor heterogeneity in terms of microenvironment composition, PAM50 molecular classification and proliferation (genomic grade index [GGI]) by combining spatial transcriptomics (ST) and accurate morphological annotation. Methods: Spatial RNA sequencing (Visium - 10X Genomics) was performed on frozen tumor samples from 15 primary estrogen receptor positive, HER2-negative ILC patients with long-term follow up. Hematoxylin/eosin slides were morphologically annotated integrating manual and machine learning-based approaches reaching single-cell resolution (QuPath software). The relative histomorphological categories (HC) composition of each spot across the ST slide was computed as percentage of pixels, while the level of proximity of different HC was evaluated computing the proportion of co-occurring HC at each spot. The PAM50 subtypes (AIMS R package) and GGI were computed on spots containing at least 40% of tumor (merging all the spots belonging to each sample [pseudo-bulk] for PAM50, while calculating mean and standard deviation [SD] across spots for GGI). PAM50 was also computed on the pseudo-bulk of the whole set of spots per sample. Wilcoxon and Spearman rank tests were used to compare continuous variables and assess correlations. Results: Out of 15 tumors, 7 were T2 or T3, 6 were node positive at diagnosis and 14 were grade 2. Four patients experienced disease relapse. Morphological annotation revealed that an average (per patient) of 20.3% (5.6-46.7%), 65.9% (45.5-83.5%) and 6.5% (0.0-27.1%) of the spots corresponded to tumor, stroma and fat tissue respectively. Larger tumors (T2-3 vs T1) presented a higher proportion of fat tissue and tumor cells, although these differences did not reach statistical significance. The levels and spatial variability of proliferation, measured using GGI, were higher in T2-3 compared to T1 tumors (p = 0.072 and 0.040, respectively). Of note, higher spatial variability of proliferation was also associated with node-positive tumors (p = 0.066). By computing the PAM50 classification using the pseudo-bulk, 9 samples were classified as luminal A, 1 as luminal B and 5 as normal-like. Of interest, when focusing on the tumor enriched spots, 60% of the samples previously classified as normal-like were re-classified as luminal A. Samples from patients who relapsed showed a higher fraction of fat tissue at the level of the whole slide (14.4% vs 3.5%; p = 0.018), with an increased co-localization of fat tissue and tumor cells at the spot level as well as higher proliferation values, although not significant. Conclusions: High proportion of fat tissue together with higher co-localization of fat tissue with tumor cells are associated with poor outcome in ILC. Higher spatial variability of proliferation is associated with larger tumors, lymph node positivity and recurrence. The proportion of stroma and fat tissue affected substantially the PAM50 classification of the tumors. Further validation is needed.
Citation Format: Matteo Serra, Laetitia Collet, Mattia Rediti, Frédéric Lifrange, David Venet, Xiaoxiao Wang, Delphine Vincent, Ghizlane Rouas, Danai Fimereli, David Gacquer, Andrea Joaquin Garcia, Isabelle Veys, Ligia Craciun, Denis Larsimont, Miikka Vikkula, François Duhoux, Françoise Rothé, Christos Sotiriou. Integrating spatial transcriptomics and high-resolution morphological annotation to investigate tumor heterogeneity and PAM50 molecular subtyping in lobular breast cancer [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 P1-05-03.
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Affiliation(s)
- Matteo Serra
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Laetitia Collet
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Frédéric Lifrange
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - David Venet
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Xiaoxiao Wang
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Delphine Vincent
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ghizlane Rouas
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Danai Fimereli
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - David Gacquer
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Andrea Joaquin Garcia
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Isabelle Veys
- Department of Surgery, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Ligia Craciun
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Denis Larsimont
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Université libre de Bruxelles, Brussels, Belgium
| | - Miikka Vikkula
- Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - François Duhoux
- Cliniques Universitaires Saint-Luc and Université Catholique de Louvain, Brussels, Belgium
| | - Françoise Rothé
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J-C Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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Nguyen HL, Geukens T, Maetens M, Van Baelen K, De Schepper M, Leduc S, Isnaldi E, Aparicio S, Borg A, Brock J, Broeks A, Caldas C, Green A, Khout H, Jórunn E, Knappskog S, Krishnamurthy S, Lakhani S, Langerod A, Martens JWM, Murphy L, Nik-Zainal S, Purdie C, Rakha E, Richardson A, Salomon A, Simpson P, Sotiriou C, Span P, Tan BKT, Thompson A, Tommasi S, Van de Vijver M, Van Laere S, Viari A, Floris G, Biganzoli E, Richard F, Desmedt C. Abstract P3-09-18: The association between genomic alterations and body mass index in patients with early breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-09-18] [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: High body mass index (BMI) is an established risk factor for developing breast cancer (BC), especially estrogen receptor (ER)-positive, and also has been associated with adverse survival. Still, patients with BC are currently treated independently of their BMI given limited understandings of the association between BC biology and patient adiposity. In this study, using retrospective data retrieved from two large BC studies, we aimed to identify genomic alterations of primary BC that are associated with BMI in the most common histological BC subtype - invasive carcinoma of no special type (NST). Patients, Data and Methods: Clinicopathological and genomic alteration data were retrieved from two study cohorts: METABRIC (Pereira et al. 2016) and ICGC (Nik-Zainal et al. 2016), with BMI recorded at the time of diagnosis and represented as either a continuous variable or a categorical variable of three categories - lean, overweight and obese. Stratification according to ER and HER2 status resulted in two focused subgroups: NST ER+/HER2- (n=392) and NST ER-/HER2- (n=152). Mutations classified as oncogenic using a set of predefined criteria were used to determine gene-level mutation status. Copy number alteration (CNA) calls were distinguished into three event types: amplification, hemizygous deletion and homozygous deletion. We used multivariable Firth’s logistic regression models with the presence of a genomic alteration as the response variable, BMI as the predicting variable of interest, and data cohort (METABRIC vs ICGC), age group (≤50 vs >50) and tumor grade (I & II vs III) as covariates, to assess the associations between BMI and recurrent gene-level genomic alterations, including gene mutations and CNAs. In a similar manner, we performed multivariable linear regression analysis, adjusting for age and tumor grade, to evaluate the associations of BMI with mutational signatures (MS) and tumor mutational burden in the ICGC NST subsets where these data are available. Results: Considering BMI as a categorical variable, we observed in the NST ER+/HER2- subgroup that PIK3CA was significantly less frequently mutated in obese compared to lean patients (33% vs 46%, odds ratio (OR) = 0.57 (95% confidence interval = (0.33, 0.97)), p = .039), while PTEN and TBX3 showed an increased frequency in overweight (6% vs 1%, OR = 4.14 (1.1, 22.34), p = .034) and obese (8% vs 1%, OR = 7.41 (1.82, 70.65), p = .008) patients, respectively. Regression analyses with BMI as a continuous variable revealed an increased prevalence of mutations in CDH1 and TBX3 genes as BMI increases by 1kg/m2 (OR = 1.14 (1.05, 1.24), p = .002, and OR = 1.13 (1.04, 1.22), p = .005, respectively) in patients with NST ER+/HER2- BC. No associations between BMI and oncogenic mutations was observed in the NST ER-/HER2- subgroup. Interrogation of gene-level CNAs in both subgroups demonstrated differences according to BMI in the prevalence of CNAs affecting a number of genes, many of which are known or have been presented with evidence to be involved in regulation of or regulated by hallmark pathways of BC, such as the MAPK/ERK, JAK/STAT and Wnt/β-catenin signaling pathways. We report a strong positive association between the single-base substitution signature 1 (SBS1), an age-correlated MS, and both continuous (coefficient (coef) = 18.3 (7.7, 28.9), p < .001) and categorical BMI (obese vs lean, coef = 336.3 (187.9, 484.8), p < .001) in the ICGC NST ER+/HER2- subgroup. Conclusion: This exploratory retrospective study suggests that the genomic profiles of primary BC may differ according to BMI. Clinical implications of these differences, especially the decreased prevalence of PIK3CA mutations in obese patients in the context of alpelisib, warrant further investigation. These results however indicate that patient adiposity should be taken into account in the era of personalized medicine.
Citation Format: Ha-Linh Nguyen, Tatjana Geukens, Marion Maetens, Karen Van Baelen, Maxim De Schepper, Sophia Leduc, Edoardo Isnaldi, Sam Aparicio, Ake Borg, Jane Brock, Annegien Broeks, Carlos Caldas, Andrew Green, Hazem Khout, Eyfjörð Jórunn, Stian Knappskog, Savitri Krishnamurthy, Sunil Lakhani, Anita Langerod, John WM Martens, Leigh Murphy, Serena Nik-Zainal, Colin Purdie, Emad Rakha, Andrea Richardson, Anne Salomon, Peter Simpson, Christos Sotiriou, Paul Span, Benita Kiat-Tee Tan, Alastair Thompson, Stefania Tommasi, Marc Van de Vijver, Steven Van Laere, Alain Viari, Giuseppe Floris, Elia Biganzoli, François Richard, Christine Desmedt. The association between genomic alterations and body mass index in patients with early breast cancer [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 P3-09-18.
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Affiliation(s)
- Ha-Linh Nguyen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Marion Maetens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Karen Van Baelen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Maxim De Schepper
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sophia Leduc
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Edoardo Isnaldi
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sam Aparicio
- BC Cancer Research Institute, Vancouver, BC, Canada
| | | | - Jane Brock
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA
| | | | | | - Andrew Green
- Nottingham Breast Cancer Research Centre, University of Nottingham, Nottingham, United Kingdom
| | - Hazem Khout
- Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | | | - Stian Knappskog
- Department of Clinical Science, University of Bergen and Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | | | - Sunil Lakhani
- University of Queensland/Pathology Queensland, Brisbane, Australia
| | - Anita Langerod
- Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | | | - Leigh Murphy
- University of Manitoba and CancerCare Manitoba, Winnipeg, MB, Canada
| | | | | | - Emad Rakha
- Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | | | - Anne Salomon
- Diagnostic and Theranostic Medicine Division, Institut Curie, PSL Research University, Paris, France
| | | | | | - Paul Span
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Benita Kiat-Tee Tan
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | | | | | | | - Steven Van Laere
- Center for Oncological Research (CORE), Integrated Personalized and Precision Oncology Network (IPPON), University of Antwerp, Antwerp, Belgium
| | | | - Giuseppe Floris
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Elia Biganzoli
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) “L. Sacco” & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
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35
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Fimereli D, Venet D, Rediti M, Brown DN, Boeckx B, Maetens M, Majjaj S, Rouas G, Capra M, Bonizzi G, Contaldo F, Galant C, Piccart M, Pruneri G, Larsimont D, Lambrechts D, Desmedt C, Rothé F, Sotiriou C. Abstract PD14-05: Portraying tumor evolution of lobular breast cancer through phylogenetic analysis. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-pd14-05] [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: Despite therapeutic advancements, a substantial number of patients with treated early-stage invasive lobular carcinoma (ILC) of the breast will still relapse as late as 20 years after the initial tumor diagnosis, thus making follow-up a challenging task. Here, using patient-matched primary and metastatic tumors from patients with ILC, we aimed to decipher the evolution of lobular breast cancer through time and explore metastatic dissemination events and underlying heterogeneity. Materials and Methods: We retrospectively identified 38 patients with metastatic ILC, of which 6 with de novo metastatic disease. In total, 99 formalin-fixed paraffin embedded tissue samples of primary tumor and metastasis, together with well-annotated clinicopathological data, were available. Low coverage whole-genome sequencing was performed to infer somatic copy number aberrations (CNA). Phylogenetic reconstruction was performed with Integer Linear Program for the Copy-Number Tree Problem algorithm. Results: Reconstruction of the phylogenetic trees showed different patterns of dissemination. For patients with multiple metastatic samples sequenced (4/4 patients), the metastases were found to be seeded from a common metastatic precursor. For a subset of patients with multiple primaries (5/10 patients), distant metastases were seeded from specific clones inside the primary tumor. Detailed analysis of known driver genes showed that alterations in common driver genes such as TP53, MYC and CCND1 were shared between primary tumor and metastases in a large proportion of the patients (47%, 32% and 21% of patients respectively) whilst CNA in other driver genes including FGFR2, PTEN or AKT2 among others, were frequently private in the metastases. Interestingly, we observed that in approximately 30% of the patients, the metastases harbored less CNA than the matched primary tumor, resulting in shorter metastatic branches and possibly indicating a decelerated tumor progression. Further analysis of the genomic and clinicopathological characteristics showed that these patients were mostly de novo metastatic (p-value=0.002), metastasizing primarily to the liver or bone and had significantly more aberrations in NF1, AKT1 and FGFR (p-value=0.04, 0.01 and 0.03 respectively), when compared to the rest of the cohort. Finally, most of the patients (63%) had a lower number of CNA accumulated after the metastatic lineage separation compared to the common trunk, implying a late dissemination event. Conclusions: In this study, we described different metastatic dissemination events taking place in ILC. Our analyses allowed us to identify a subset of tumors characterized by slow tumor progression, indicating potential tumor dormancy, as well as evidence of late dissemination evidence for most of the patients, thus highlighting the importance of early detection through cancer screening. These findings further shed light on how ILCs evolves through time and could potentially influence the clinical management of invasive lobular breast cancer.
Citation Format: Danai Fimereli, David Venet, Mattia Rediti, David N Brown, Bram Boeckx, Marion Maetens, Samira Majjaj, Ghizlane Rouas, Maria Capra, Giuseppina Bonizzi, Federica Contaldo, Christine Galant, Martine Piccart, Giancarlo Pruneri, Denis Larsimont, Diether Lambrechts, Christine Desmedt, Françoise Rothé, Christos Sotiriou. Portraying tumor evolution of lobular breast cancer through phylogenetic analysis [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 PD14-05.
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Affiliation(s)
| | | | | | - David N Brown
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Bram Boeckx
- VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
| | | | | | | | - Maria Capra
- European Institute of Oncology, Milan, Italy
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Agostinetto E, Cailleux F, Lambertini M, Rothé F, Wu HT, Balcioglu M, Sethi H, Vincent D, Viglietti G, Gombos A, Papagiannis A, Veys I, Awada A, Sotiriou C, Kalashnikova E, Aleshin A, Larsimont D, Venet D, Ignatiadis M. Abstract P2-01-06: Detection of circulating tumor DNA post neoadjuvant chemotherapy using a personalized assay is associated with disease relapse. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p2-01-06] [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: Approximately 30% of patients with early breast cancer present disease relapse after surgery, and technologies that enable the detection of circulating tumor DNA (ctDNA) were shown to identify them earlier than standard imaging. In the present study, we aimed to interrogate the value of the SignateraTM personalized ctDNA assay for early detection of disease relapse. Methods: The study included 52 early breast cancer patients undergoing neoadjuvant chemotherapy from an ongoing translational, single-center study at Jules Bordet Institute, Brussels, Belgium. From each patient, primary tumor tissue sections, blood sample for normal DNA, and serial plasma samples were sent to NATERA Inc for ctDNA detection using the SignateraTM assay. Plasma samples were collected before the initiation of neoadjuvant chemotherapy (baseline), after neoadjuvant chemotherapy, before surgery (pre-surgery), and at follow-up post-surgery. Whole exome sequencing (WES) was performed on the primary tumor tissue and matched normal DNA to design a patient-specific ctDNA assay. The unique set of SNV’s identified in WES were tracked in serial plasma samples. Associations between baseline ctDNA detection and standard clinicopathological characteristics and primary tumor point mutations or copy number aberrations were evaluated. Association between ctDNA detection, pathological complete response (pCR) and event-free survival (EFS) were explored. Fisher, Mann-Whitney and Kruskal-Wallis tests were used to compare variables. Log-rank tests and Cox regressions were used for survival analyses. Hazard ratios (HRs) and confidence intervals (CIs) were obtained from Cox regressions. For multivariable tests, logistic regressions were used for binary outcomes and Cox regressions for survival outcomes. P-values were obtained by comparing models with and without the variable of interest using Chi-square test in ANOVAs. Results: Forty-four out of 52 (85%) initially selected patients had the required tumor cellularity (≥ 20%) and adequate tumor DNA quantity and quality and had personalized ctDNA assays designed. In these 44 patients, 154 plasma samples were successfully processed including 38, 41, 75, 38 at baseline, pre-surgery, follow-up (any timepoint) and last follow-up timepoint, respectively. Twenty (45%) patients had hormone receptor positive/HER2-negative, 13 (30%) triple-negative and 11 (25%) HER2-positive breast cancers. Detection of ctDNA was observed in 22 of 38 (58%) patients at baseline and was significantly associated with Ki67>20% and MYC copy number gain in the primary tumor. ctDNA detection at pre-surgery and at last follow-up was observed in 2 of 41 (5%) and 2 of 38 (5%) patients respectively. All patients who achieved pCR were ctDNA-negative at the pre-surgical time point. With a median follow-up of 3.03 years (range 0.39 - 5.85), we observed 8 relapses (7 distant and 1 local, respectively). After adjusting for pCR, ctDNA detection was associated with shorter EFS at pre-surgery and at last follow-up time points (HR: 53, 95% CI: 4.5-624, p<0.01, and HR: 31, 95% CI: 2.7-352, p<0.01, respectively), but not at baseline (HR: 1.4, 95% CI: 0.3-5.9, p=0.67). Conclusions: The detection of ctDNA post neoadjuvant chemotherapy is associated with disease relapse in early breast cancer supporting interventional trials in this setting.
Citation Format: Elisa Agostinetto, Frédéric Cailleux, Matteo Lambertini, Françoise Rothé, Hsin-Ta Wu, Mustafa Balcioglu, Himanshu Sethi, Delphine Vincent, Giulia Viglietti, Andrea Gombos, Andreas Papagiannis, Isabelle Veys, Ahmad Awada, Christos Sotiriou, Ekaterina Kalashnikova, Alexey Aleshin, Denis Larsimont, David Venet, Michail Ignatiadis. Detection of circulating tumor DNA post neoadjuvant chemotherapy using a personalized assay is associated with disease relapse [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 P2-01-06.
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Collet L, Serra M, Rediti M, Lifrange F, Venet D, Wang X, Vincent D, Rouas G, Fimereli D, Gacquer D, Garcia AJ, Veys I, Craciun L, Larsimont D, Vikkula M, Duhoux F, Rothé F, Sotiriou C. Abstract PD14-02: Unravelling spatial tumor organization and heterogeneity in lobular breast cancer using spatial transcriptomics. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-pd14-02] [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
Introduction: Invasive lobular breast cancer (ILC) is the most frequent special type of breast cancer. Recent studies showed the impact of intratumor heterogeneity (ITH) on patient outcome. Here, we aimed to better characterize ITH in ILC using spatial transcriptomics (ST) together with high-resolution morphological annotation. Methods: Spatial transcriptomics (Visium 10x Genomics) was performed on frozen tumor samples from 15 primary estrogen receptor positive, HER2-negative ILCs with 4 patients developing disease relapse. For each sample, we annotated hematoxylin/eosin sections (QuPath software) in two steps: manual annotation of specific histomorphological structures (e.g. normal breast ducts, fat tissue, vessels) and machine learning annotation of stroma and tumor cells at the single cell level. Proportion of each specific tissue type per sample was defined by pixel percentage computed within each ST spot. For each sample, the proportion of a given tissue type was defined as the proportion of pixels annotated with this specific type averaged across all spots within the tissue section. Spatially variable genes were used as input for non-negative matrix factorization and the reduced expression matrix was clustered with the Louvain algorithm implemented in Seurat. A cluster of spots was defined as tumoral if the average proportion of pixels annotated as tumor across its constitutive spots was higher than the average proportion of tumor pixels across all spots from the tissue section. Cluster characterization was performed using gene set enrichment analysis based on hallmarks (Molecular Signature Database) with a false discovery rate < 0.05. Spatial heterogeneity and tumor organization within each sample were assessed according to the number and type of cluster interactions, homo-contacts being defined as interactions between spots belonging to the same cluster and hetero-contacts between spots from two different clusters. Comparisons between groups were assessed using Wilcoxon test. Results: A total of 45 tumor clusters were identified among the 15 patients, with a range of 2-4 tumor clusters per sample highlighting intra-tumor heterogeneity. Cluster characterization revealed the presence of clusters enriched in different biological pathways within a given sample. These analyses also showed inter-patient heterogeneity as witnessed by distinct tumor clusters only present in a subset of tissue samples. In particular, 66% (N=10/15) of the tissue samples harbored clusters enriched in oxidative phosphorylation, 53% (N=8/15) in epithelial-mesenchymal transition, 33% (N=5/15) in interferon gamma response, 27% (N=4/15) in TNF-alpha via NFkB, 27% (N=4/15) in androgen response and 13% (N=2/15) in protein secretion hallmarks. All samples shared at least one tumor cluster enriched in estrogen early and late response.Although the number of tumor clusters was similar between samples from patients with or without relapse (median of 3, range 2-4), the presence of clusters enriched in protein secretion was associated with disease recurrence (p = 0.02). Of note, higher number of hetero-contacts mirroring tumor disorganization was associated with poor outcome although not significant (p= 0.08). Conclusions: Here, we showed for the first time a substantial inter- and intra-tumor heterogeneity of ILC at an unprecedented level, characterized by the presence of specific tumor clusters and distinct tumor organization patterns associated with outcome. We also. uncovered potentially targetable clusters missed by bulk analysis, offering novel perspectives for optimized ILC care. Further validation is warranted.
Citation Format: Laetitia Collet, Matteo Serra, Mattia Rediti, Frédéric Lifrange, David Venet, XiaoXiao Wang, Delphine Vincent, Ghizlane Rouas, Danai Fimereli, David Gacquer, Andrea Joaquin Garcia, Isabelle Veys, Ligia Craciun, Denis Larsimont, Miikka Vikkula, François Duhoux, Françoise Rothé, Christos Sotiriou. Unravelling spatial tumor organization and heterogeneity in lobular breast cancer using spatial transcriptomics [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 PD14-02.
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Affiliation(s)
- Laetitia Collet
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Matteo Serra
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Mattia Rediti
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Frédéric Lifrange
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Brussels, Belgium
| | - David Venet
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - XiaoXiao Wang
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Delphine Vincent
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Ghizlane Rouas
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Danai Fimereli
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - David Gacquer
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | | | - Isabelle Veys
- Department of Surgery, Institut Jules Bordet, Brussels, Belgium
| | - Ligia Craciun
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Brussels, Belgium
| | - Denis Larsimont
- Laboratoire d'Anatomie Pathologique, Institut Jules Bordet, Brussels, Belgium
| | - Miikka Vikkula
- Breast 5Human Molecular Genetics, de Duve Institute, Université Catholique de Louvaintranslational Research, Intitut Jules Bordet, Brussels, Belgium
| | - François Duhoux
- 5Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Françoise Rothé
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research, Intitut Jules Bordet, Brussels, Belgium
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Kanwar N, Balde Z, Nair R, Dawe M, Chen S, Maganti M, Atenafu EG, Manolescu S, Wei C, Mao A, Fu F, Wang D, Cheung A, Yerofeyeva Y, Peters R, Liu K, Desmedt C, Sotiriou C, Szekely B, Kulka J, McKee TD, Hirano N, Bartlett JM, Yaffe MJ, Bedard PL, McCready D, Done SJ. Heterogeneity of Circulating Tumor Cell-Associated Genomic Gains in Breast Cancer and Its Association with the Host Immune Response. Cancer Res 2021; 81:6196-6206. [PMID: 34711609 PMCID: PMC9397625 DOI: 10.1158/0008-5472.can-21-1079] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/10/2021] [Accepted: 10/25/2021] [Indexed: 01/07/2023]
Abstract
Tumor cells that preferentially enter circulation include the precursors of metastatic cancer. Previously, we characterized circulating tumor cells (CTC) from patients with breast cancer and identified a signature of genomic regions with recurrent copy-number gains. Through FISH, we now show that these CTC-associated regions are detected within the matched untreated primary tumors of these patients (21% to 69%, median 55.5%, n = 19). Furthermore, they are more prevalent in the metastases of patients who died from breast cancer after multiple rounds of treatment (70% to 100%, median 93%, samples n = 41). Diversity indices revealed that higher spatial heterogeneity for these regions within primary tumors is associated with increased dissemination and metastasis. An identified subclone with multiple regions gained (MRG clone) was enriched in a posttreatment primary breast carcinoma as well as multiple metastatic tumors and local breast recurrences obtained at autopsy, indicative of a distinct early subclone with the capability to resist multiple lines of treatment and eventually cause death. In addition, multiplex immunofluorescence revealed that tumor heterogeneity is significantly associated with the degree of infiltration of B lymphocytes in triple-negative breast cancer, a subtype with a large immune component. Collectively, these data reveal the functional potential of genetic subclones that comprise heterogeneous primary breast carcinomas and are selected for in CTCs and posttreatment breast cancer metastases. In addition, they uncover a relationship between tumor heterogeneity and host immune response in the tumor microenvironment. SIGNIFICANCE: As breast cancers progress, they become more heterogeneous for multiple regions amplified in circulating tumor cells, and intratumoral spatial heterogeneity is associated with the immune landscape.
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Affiliation(s)
- Nisha Kanwar
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Zaldy Balde
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Ranju Nair
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Melanie Dawe
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Shiyi Chen
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Canada
| | - Manjula Maganti
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Eshetu G. Atenafu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Sabrina Manolescu
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Carrie Wei
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Amanda Mao
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Fred Fu
- STTARR Innovation Centre, University Health Network, Toronto, Canada
| | - Dan Wang
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Alison Cheung
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Yulia Yerofeyeva
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Rachel Peters
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Kela Liu
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Christos Sotiriou
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Borbala Szekely
- 2nd Department of Pathology, Semmelweis University, Budapest, Hungary
| | - Janina Kulka
- 2nd Department of Pathology, Semmelweis University, Budapest, Hungary
| | - Trevor D. McKee
- STTARR Innovation Centre, University Health Network, Toronto, Canada
| | - Naoto Hirano
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.,Department of Immunology, University of Toronto, Toronto, Canada
| | - John M.S. Bartlett
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Ontario Institute for Cancer Research, Toronto, Canada
| | - Martin J. Yaffe
- Biomarker Imaging Research Laboratory, Sunnybrook Research Institute, Toronto, Canada.,Ontario Institute for Cancer Research, Toronto, Canada
| | - Philippe L. Bedard
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - David McCready
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Susan J. Done
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.,Laboratory Medicine Program, University Health Network, Toronto, Canada.,Corresponding Author: Susan J. Done, Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada. Phone: 416-340-4800, ext. 5573; E-mail:
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El Bairi K, Haynes HR, Blackley E, Fineberg S, Shear J, Turner S, de Freitas JR, Sur D, Amendola LC, Gharib M, Kallala A, Arun I, Azmoudeh-Ardalan F, Fujimoto L, Sua LF, Liu SW, Lien HC, Kirtani P, Balancin M, El Attar H, Guleria P, Yang W, Shash E, Chen IC, Bautista V, Do Prado Moura JF, Rapoport BL, Castaneda C, Spengler E, Acosta-Haab G, Frahm I, Sanchez J, Castillo M, Bouchmaa N, Md Zin RR, Shui R, Onyuma T, Yang W, Husain Z, Willard-Gallo K, Coosemans A, Perez EA, Provenzano E, Ericsson PG, Richardet E, Mehrotra R, Sarancone S, Ehinger A, Rimm DL, Bartlett JMS, Viale G, Denkert C, Hida AI, Sotiriou C, Loibl S, Hewitt SM, Badve S, Symmans WF, Kim RS, Pruneri G, Goel S, Francis PA, Inurrigarro G, Yamaguchi R, Garcia-Rivello H, Horlings H, Afqir S, Salgado R, Adams S, Kok M, Dieci MV, Michiels S, Demaria S, Loi S. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. NPJ Breast Cancer 2021; 7:150. [PMID: 34853355 PMCID: PMC8636568 DOI: 10.1038/s41523-021-00346-1] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 09/28/2021] [Indexed: 02/08/2023] Open
Abstract
The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC.
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Affiliation(s)
- Khalid El Bairi
- Department of Medical Oncology, Mohammed VI University Hospital, Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco.
| | - Harry R Haynes
- Department of Cellular Pathology, Great Western Hospital, Swindon, UK
- Translational Health Sciences, University of Bristol, Bristol, UK
| | - Elizabeth Blackley
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Susan Fineberg
- Department of Pathology, Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jeffrey Shear
- Chief Information Officer, WISS & Company, LLP and President J. Shear Consulting, LLC-Ardsley, Ardsley, NY, USA
| | | | - Juliana Ribeiro de Freitas
- Department of Pathology and Legal Medicine, Medical School of the Federal University of Bahia, Salvador, Brazil
| | - Daniel Sur
- Department of Medical Oncology, University of Medicine "I. Hatieganu", Cluj Napoca, Romania
| | | | - Masoumeh Gharib
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Indu Arun
- Department of Histopathology, Tata Medical Center, Kolkata, India
| | - Farid Azmoudeh-Ardalan
- Department of Pathology, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Luciana Fujimoto
- Pathology and Legal Medicine, Amazon Federal University, Belém, Brazil
| | - Luz F Sua
- Department of Pathology and Laboratory Medicine, Fundacion Valle del Lili, and Faculty of Health Sciences, Universidad ICESI, Cali, Colombia
| | | | - Huang-Chun Lien
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Pawan Kirtani
- Department of Histopathology, Manipal Hospitals Dwarka, New Delhi, India
| | - Marcelo Balancin
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | | | - Prerna Guleria
- Army Hospital Research and Referral, Delhi Cantt, New Delhi, India
| | | | - Emad Shash
- Breast Cancer Comprehensive Center, National Cancer Institute, Cairo University, Cairo, Egypt
| | - I-Chun Chen
- Department of Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
| | - Veronica Bautista
- Department of Pathology, Breast Cancer Center FUCAM, Mexico City, Mexico
| | | | - Bernardo L Rapoport
- The Medical Oncology Centre of Rosebank, Johannesburg, South Africa
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, corner Doctor Savage Road and Bophelo Road, Pretoria, 0002, South Africa
| | - Carlos Castaneda
- Department of Medical Oncology, Instituto Nacional de Enfermedades Neoplásicas, Lima, 15038, Peru
- Faculty of Health Sciences, Universidad Cientifica del Sur, Lima, Peru
| | - Eunice Spengler
- Departmento de Patologia, Hospital Universitario Austral, Pilar, Argentina
| | - Gabriela Acosta-Haab
- Department of Pathology, Hospital de Oncología Maria Curie, Buenos Aires, Argentina
| | - Isabel Frahm
- Department of Pathology, Sanatorio Mater Dei, Buenos Aires, Argentina
| | - Joselyn Sanchez
- Department of Research, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038, Peru
| | - Miluska Castillo
- Department of Research, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038, Peru
| | - Najat Bouchmaa
- Institute of Biological Sciences, Mohammed VI Polytechnic University (UM6P), 43 150, Ben-Guerir, Morocco
| | - Reena R Md Zin
- Department of Pathology, Faculty of Medicine, UKM Medical Centre, Kuala Lumpur, Malaysia
| | - Ruohong Shui
- Department of Pathology, Fudan University Cancer Center, Shanghai, China
| | | | - Wentao Yang
- Department of Pathology, Fudan University Cancer Center, Shanghai, China
| | | | - Karen Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - An Coosemans
- Laboratory of Tumour Immunology and Immunotherapy, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Edith A Perez
- Department of Hematology/Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - Elena Provenzano
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Paula Gonzalez Ericsson
- Breast Cancer Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eduardo Richardet
- Clinical Oncology Unit, Instituto Oncológico Córdoba, Córdoba, Argentina
| | - Ravi Mehrotra
- India Cancer Research Consortium-ICMR, Department of Health Research, New Delhi, India
| | - Sandra Sarancone
- Department of Pathology, Laboratorio QUANTUM, Rosario, Argentina
| | - Anna Ehinger
- Department of Clinical Genetics and Pathology, Skåne University Hospital, Lund University, Lund, Sweden
| | - David L Rimm
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - John M S Bartlett
- Diagnostic Development, Ontario Institute for Cancer Research, Toronto, Canada
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Giuseppe Viale
- Department of Pathology, Istituto Europeo di Oncologia IRCCS, and University of Milan, Milan, Italy
| | - Carsten Denkert
- Institute of Pathology, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg and Philipps-Universität Marburg, Marburg, Germany
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Christos Sotiriou
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Stephen M Hewitt
- Laboratory of Pathology, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, USA
| | - William Fraser Symmans
- Department of Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Rim S Kim
- National Surgical Adjuvant Breast and Bowel Project (NSABP)/NRG Oncology, Pittsburgh, PA, USA
| | - Giancarlo Pruneri
- Department of Pathology, RCCS Fondazione Istituto Nazionale Tumori and University of Milan, School of Medicine, Milan, Italy
| | - Shom Goel
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | - Prudence A Francis
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Medical Oncology Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Rin Yamaguchi
- Department of Pathology and Laboratory Medicine, Kurume University Medical Center, Kurume, Fukuoka, Japan
| | - Hernan Garcia-Rivello
- Servicio de Anatomía Patológica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Hugo Horlings
- Division of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Said Afqir
- Department of Medical Oncology, Mohammed VI University Hospital, Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
| | - Roberto Salgado
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Sylvia Adams
- Perlmutter Cancer Center, New York University Medical School, New York, NY, USA
| | - Marleen Kok
- Divisions of Medical Oncology, Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Maria Vittoria Dieci
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
- Medical Oncology 2, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Stefan Michiels
- Service de Biostatistique et d'Epidémiologie, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, labeled Ligue Contre le Cancer, Villejuif, France
| | - Sandra Demaria
- Department of Radiation Oncology, Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sherene Loi
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
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Vathiotis IA, Moutafi MK, Divakar P, Aung TN, Qing T, Fernandez A, Yaghoobi V, El-Abed S, Wang Y, Guillaume S, Nuciforo P, Huober J, Di Cosimo S, Kim SB, Harbeck N, Gomez H, Shafi S, Syrigos KN, Fountzilas G, Sotiriou C, Pusztai L, Warren S, Rimm DL. Alpha-smooth Muscle Actin Expression in the Stroma Predicts Resistance to Trastuzumab in Patients with Early-stage HER2-positive Breast Cancer. Clin Cancer Res 2021; 27:6156-6163. [PMID: 34465600 DOI: 10.1158/1078-0432.ccr-21-2103] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/28/2021] [Accepted: 08/25/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE The companion diagnostic test for trastuzumab has not changed much in the last 25 years. We used high-plex digital spatial profiling to identify biomarkers besides HER2 that can help predict response to trastuzumab in HER2-positive breast cancer. EXPERIMENTAL DESIGN Fifty-eight protein targets were measured in three different molecularly defined compartments by the NanoString GeoMx Digital Spatial Profiler (DSP) in a tissue microarray containing 151 patients with breast cancer that received adjuvant trastuzumab as part of the Hellenic Cooperative Oncology Group 10/05 clinical trial. Promising candidate biomarkers were orthogonally validated with quantitative immunofluorescence (QIF). RNA-sequencing data from the Neoadjuvant Lapatinib and/or Trastuzumab Treatment Optimisation Study (NeoALTTO) were accessed to provide independent cohort validation. Disease-free survival (DFS) was the main outcome assessed. Statistical analyses were performed using a two-sided test (α = 0.05) and multiple testing correction (Benjamini-Hochberg method, FDR < 0.1). RESULTS By DSP, high expression of alpha-smooth muscle actin (α-SMA), both in the leukocyte and stromal compartments, was associated with shorter DFS in univariate analysis (P = 0.002 and P = 0.023, respectively). High α-SMA expression in the stroma was validated by QIF after controlling for estrogen receptor and progesterone receptor status [HR, 3.12; 95% confidence interval (CI), 1.12-8.68; P = 0.029] showing recurrence on trastuzumab in the same cohort. In the NeoALTTO cohort, elevated levels of ACTA2 were predictive for shorter DFS in the multivariate analysis (HR, 3.21; 95% CI, 1.14-9.05; P = 0.027). CONCLUSIONS This work identifies α-SMA as a novel, easy-to-implement biomarker of resistance to trastuzumab that may be valuable in settings where trastuzumab is combined with other therapies.
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Affiliation(s)
- Ioannis A Vathiotis
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Myrto K Moutafi
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | | | - Thazin Nwe Aung
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Tao Qing
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.,Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Aileen Fernandez
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Vesal Yaghoobi
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | | | | | - Sebastien Guillaume
- Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jens Huober
- Department of Obstetrics and Gynaecology of the University of Ulm, Ulm, Germany
| | | | - Sung-Bae Kim
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of South Korea
| | - Nadia Harbeck
- Breast Center, Ludwig-Maximilians-University, University Hospital, Munich, Germany
| | - Henry Gomez
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | - Saba Shafi
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut.,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Konstantinos N Syrigos
- Department of Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - George Fountzilas
- Aristotle University of Thessaloniki, Thessaloniki, Greece.,German Oncology Center, Limassol, Cyprus
| | - Christos Sotiriou
- Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Lajos Pusztai
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.,Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | | | - David L Rimm
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut. .,Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
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Aftimos P, Oliveira M, Irrthum A, Fumagalli D, Sotiriou C, Gal-Yam EN, Robson ME, Ndozeng J, Di Leo A, Ciruelos EM, de Azambuja E, Viale G, Scheepers ED, Curigliano G, Bliss JM, Reis-Filho JS, Colleoni M, Balic M, Cardoso F, Albanell J, Duhem C, Marreaud S, Romagnoli D, Rojas B, Gombos A, Wildiers H, Guerrero-Zotano A, Hall P, Bonetti A, Larsson KF, Degiorgis M, Khodaverdi S, Greil R, Sverrisdóttir Á, Paoli M, Seyll E, Loibl S, Linderholm B, Zoppoli G, Davidson NE, Johannsson OT, Bedard PL, Loi S, Knox S, Cameron DA, Harbeck N, Montoya ML, Brandão M, Vingiani A, Caballero C, Hilbers FS, Yates LR, Benelli M, Venet D, Piccart MJ. Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative. Cancer Discov 2021; 11:2796-2811. [PMID: 34183353 PMCID: PMC9414283 DOI: 10.1158/2159-8290.cd-20-1647] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [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: 11/11/2020] [Revised: 04/05/2021] [Accepted: 06/11/2021] [Indexed: 02/01/2023]
Abstract
AURORA aims to study the processes of relapse in metastatic breast cancer (MBC) by performing multi-omics profiling on paired primary tumors and early-course metastases. Among 381 patients (primary tumor and metastasis pairs: 252 targeted gene sequencing, 152 RNA sequencing, 67 single nucleotide polymorphism arrays), we found a driver role for GATA1 and MEN1 somatic mutations. Metastases were enriched in ESR1, PTEN, CDH1, PIK3CA, and RB1 mutations; MDM4 and MYC amplifications; and ARID1A deletions. An increase in clonality was observed in driver genes such as ERBB2 and RB1. Intrinsic subtype switching occurred in 36% of cases. Luminal A/B to HER2-enriched switching was associated with TP53 and/or PIK3CA mutations. Metastases had lower immune score and increased immune-permissive cells. High tumor mutational burden correlated to shorter time to relapse in HR+/HER2- cancers. ESCAT tier I/II alterations were detected in 51% of patients and matched therapy was used in 7%. Integration of multi-omics analyses in clinical practice could affect treatment strategies in MBC. SIGNIFICANCE: The AURORA program, through the genomic and transcriptomic analyses of matched primary and metastatic samples from 381 patients with breast cancer, coupled with prospectively collected clinical data, identified genomic alterations enriched in metastases and prognostic biomarkers. ESCAT tier I/II alterations were detected in more than half of the patients.This article is highlighted in the In This Issue feature, p. 2659.
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Affiliation(s)
- Philippe Aftimos
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | - Mafalda Oliveira
- Medical Oncology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | | | | | - Christos Sotiriou
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | | | - Mark E Robson
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Justin Ndozeng
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | | | | | | | - Giuseppe Viale
- IEO, Istituto Europeo di Oncologia, IRCCS, and University of Milan, Milan, Italy
| | | | - Giuseppe Curigliano
- IEO, Istituto Europeo di Oncologia, IRCCS, and University of Milan, Milan, Italy
| | - Judith M Bliss
- The Institute of Cancer Research, London, United Kingdom
| | | | - Marco Colleoni
- IEO, Istituto Europeo di Oncologia, IRCCS, and University of Milan, Milan, Italy
| | | | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
| | - Joan Albanell
- Hospital del Mar - CIBERONC; IMIM, Barcelona; Pompeu Fabra University, Barcelona, Spain
| | - Caroline Duhem
- Centre Hospitalier Luxembourg, Luxembourg City, Luxembourg
| | | | | | - Beatriz Rojas
- CIOCC (Centro Integral Oncologico "Clara Campal"), Madrid, Spain
| | - Andrea Gombos
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Peter Hall
- University of Edinburgh Cancer Research Centre, Edinburgh, United Kingdom
| | - Andrea Bonetti
- Department of Oncology AZIENDA ULSS 9 Verona, Verona, Italy
| | | | | | - Silvia Khodaverdi
- Sana Klinikum Offenbach, Klinik für Gynaekologie und Geburtshilfe, Offenbach, Germany
| | - Richard Greil
- Paracelsus Medical University Salzburg, Salzburg Cancer Research Institute-CCCIT and Cancer Cluster Salzburg, Salzburg, Austria
| | | | | | - Ethel Seyll
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Gabriele Zoppoli
- Università degli Studi di Genova and IRCCS Ospedale Policlinico San Martino, San Martino, Italy
| | - Nancy E Davidson
- Fred Hutchinson Cancer Research Center and University of Washington, Seattle, Washington
| | | | | | - Sherene Loi
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Susan Knox
- Europa Donna- The European Breast Cancer Coalition, Milan, Italy
| | - David A Cameron
- University of Edinburgh Cancer Research Centre, Edinburgh, United Kingdom
| | - Nadia Harbeck
- Breast Center, LMU University Hospital, Munich, Germany, and West German Study Group, Moenchengladbach, Germany
| | | | - Mariana Brandão
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | - Andrea Vingiani
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | | | - Lucy R Yates
- Wellcome Trust Sanger Institute, London, United Kingdom
| | | | - David Venet
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | - Martine J Piccart
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium.
- Breast International Group, Brussels, Belgium
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Mauri F, Schepkens C, Lapouge G, Drogat B, Song Y, Pastushenko I, Rorive S, Blondeau J, Golstein S, Bareche Y, Miglianico M, Nkusi E, Rozzi M, Moers V, Brisebarre A, Raphaël M, Dubois C, Allard J, Durdu B, Ribeiro F, Sotiriou C, Salmon I, Vakili J, Blanpain C. NR2F2 controls malignant squamous cell carcinoma state by promoting stemness and invasion and repressing differentiation. Nat Cancer 2021; 2:1152-1169. [PMID: 35122061 PMCID: PMC7615150 DOI: 10.1038/s43018-021-00287-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 10/08/2021] [Indexed: 02/07/2023]
Abstract
The nongenetic mechanisms required to sustain malignant tumor state are poorly understood. During the transition from benign tumors to malignant carcinoma, tumor cells need to repress differentiation and acquire invasive features. Using transcriptional profiling of cancer stem cells from benign tumors and malignant skin squamous cell carcinoma (SCC), we identified the nuclear receptor NR2F2 as uniquely expressed in malignant SCC. Using genetic gain of function and loss of function in vivo, we show that NR2F2 is essential for promoting the malignant tumor state by controlling tumor stemness and maintenance in mouse and human SCC. We demonstrate that NR2F2 promotes tumor cell proliferation, epithelial-mesenchymal transition and invasive features, while repressing tumor differentiation and immune cell infiltration by regulating a common transcriptional program in mouse and human SCCs. Altogether, we identify NR2F2 as a key regulator of malignant cancer stem cell functions that promotes tumor renewal and restricts differentiation to sustain a malignant tumor state.
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Affiliation(s)
- Federico Mauri
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Corentin Schepkens
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gaëlle Lapouge
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Benjamin Drogat
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Yura Song
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ievgenia Pastushenko
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sandrine Rorive
- Centre Universitaire Inter Régional d'Expertise en Anatomie Pathologique Hospitalière (CurePath), Jumet, Belgium
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Gosselies, Belgium
- Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jeremy Blondeau
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sophie Golstein
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Yacine Bareche
- Breast Cancer Translational Research Laboratory, J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Erwin Nkusi
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Milena Rozzi
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Virginie Moers
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Audrey Brisebarre
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Maylis Raphaël
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Christine Dubois
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Justine Allard
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Gosselies, Belgium
| | - Benoit Durdu
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Floriane Ribeiro
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Isabelle Salmon
- Centre Universitaire Inter Régional d'Expertise en Anatomie Pathologique Hospitalière (CurePath), Jumet, Belgium
- DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Gosselies, Belgium
- Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jalal Vakili
- ChromaCure SA, Grandbonpré 11/5, Mont-Saint-Guibert, Belgium
| | - Cédric Blanpain
- Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels, Belgium.
- WELBIO, Université Libre de Bruxelles (ULB), Bruxelles, Belgium.
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43
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Pondé N, Agbor-Tarh D, Dal Lago L, Korde LA, Hilbers F, Jackisch C, Werner O, Gelber RD, Jatoi A, Dueck AC, Moreno-Aspitia A, Sotiriou C, de Azambuja E, Piccart M. Correction to: Tolerability and toxicity of trastuzumab or trastuzumab + lapatinib in older patients: a sub‑analysis of the ALTTO trial (BIG 2‑06; NCCTG (Alliance) N063D). Breast Cancer Res Treat 2021; 191:225. [PMID: 34625860 DOI: 10.1007/s10549-021-06409-y] [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: 11/27/2022]
Affiliation(s)
- Noam Pondé
- AC Camargo Cancer Center, Rua Pires da Mota, São Paulo, 1167, Brazil.
- Institut Jules Bordet, Brussels, Belgium.
| | | | | | | | | | | | | | - Richard D Gelber
- Dana-Farber Cancer Institute, Boston, USA
- Frontier Science and Technology Research Foundation, Boston, MA, USA
| | | | | | | | | | | | - Martine Piccart
- Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
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44
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Pizzamiglio S, Ciniselli CM, Triulzi T, Gargiuli C, De Cecco L, de Azambuja E, Fumagalli D, Sotiriou C, Harbeck N, Izquierdo M, Nuciforo P, Huober J, Cappelletti V, Cinieri S, Piccart M, Daidone MG, Pruneri G, Colombo MP, Tagliabue E, Verderio P, Di Cosimo S. Integrated Molecular and Immune Phenotype of HER2-Positive Breast Cancer and Response to Neoadjuvant Therapy: A NeoALTTO Exploratory Analysis. Clin Cancer Res 2021; 27:6307-6313. [PMID: 34548320 DOI: 10.1158/1078-0432.ccr-21-1600] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/23/2021] [Accepted: 09/16/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Little is known about the efficacy of HER2-targeted therapy in patients with breast cancer showing different HER2-pathway dependence and immune phenotypes. Herein, we report a NeoALTTO exploratory analysis evaluating the clinical value of 22 types of tumor-infiltrating immune cells by CIBERSORT and 5 immune-related metagenes in the overall patient population, and in subgroups defined by the TRAR classifier as HER2-addicted (TRAR-low) or not (TRAR-high). METHODS Association of baseline TRAR, immune-related metagenes, and CIBERSORT data with pathologic complete response (pCR) and event-free survival (EFS) were assessed using logistic and Cox regression models. Corrections for multiple testing were performed by the Bonferroni method. RESULTS A total of 226 patients were analyzed: 80 (35%) achieved a pCR, and 64 (28%) experienced a relapse with a median follow-up of 6.7 (interquartile range 6.1-6.8) years; 108 cases were classified as TRAR-low, and 118 TRAR-high. Overall, γδ T-cell fraction [OR = 2.69; 95% confidence interval (CI), 1.40-5.18], and no immune-related metagenes were predictive of pCR. Notably, lymphocyte-specific kinase (LCK) predicted pCR to combination (OR = 2.53; 95% CI, 1.12-5.69), but not to single-agent trastuzumab or lapatinib [OR = 0.74; 95% CI, 0.45-1.22 (P interaction = 0.01)]. Integrating LCK with γδ T cells in a multivariate model added to the discriminatory capability of clinical and molecular variables with a shift in AUC from 0.80 (95% CI, 0.74-0.86) to 0.83 (95% CI, 0.78-0.89). In TRAR-low cases, activated mast cells, IFN and MHCII were reduced, and STAT1, HCK1, and γδ T cells were associated with pCR. STAT1 was broadly associated with improved EFS regardless of pCR, and nodal status in overall (HR = 0.68; 95% CI, 0.49-0.94) and in TRAR-low cases (HR = 0.50; 95% CI, 0.30-0.86). CONCLUSIONS Immuno-phenotyping holds the promise to complement current predictive models in HER2-positive breast cancer and to assist in new therapeutic development.
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Affiliation(s)
- Sara Pizzamiglio
- Unit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara Maura Ciniselli
- Unit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Tiziana Triulzi
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara Gargiuli
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Loris De Cecco
- Platform of Integrated Biology, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | | | - Christos Sotiriou
- Institut Jules Bordet and l'Université Libre de Bruxelles (U.LB), Belgium
| | - Nadia Harbeck
- Brustzentrum der Universität München (LMU), München, Germany
| | | | - Paolo Nuciforo
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jens Huober
- University of Ulm, Breast Center, Ulm, Germany
| | - Vera Cappelletti
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Martine Piccart
- Institut Jules Bordet and l'Université Libre de Bruxelles (U.LB), Belgium
| | - Maria Grazia Daidone
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giancarlo Pruneri
- Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Mario Paolo Colombo
- Molecular Immunology Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elda Tagliabue
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Unit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Serena Di Cosimo
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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Rothé F, Lambertini M, Goldrat O, Maetens M, Bareche Y, Blanc J, Rouas G, Larsimont D, Sotiriou C, Ignatiadis M, Demeestere I. Circulating Tumor DNA to Interrogate the Safety of Letrozole-Associated Controlled Ovarian Stimulation for Fertility Preservation in Breast Cancer Patients. Front Oncol 2021; 11:686625. [PMID: 34414109 PMCID: PMC8370091 DOI: 10.3389/fonc.2021.686625] [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: 03/27/2021] [Accepted: 07/19/2021] [Indexed: 12/19/2022] Open
Abstract
Background Current fertility preservation strategies for young breast cancer patients planning a future motherhood include the association of controlled ovarian stimulation with the aromatase inhibitor letrozole (let-COS) to harvest mature oocytes while maintaining low estradiol levels. Despite this is a widely adopted protocol, the safety of let-COS on breast cancer outcomes has been poorly investigated and its use remains off-label. We assessed the safety of let-COS in breast cancer patients using circulating tumor DNA (ctDNA) as a surrogate biomarker of disease recurrence. Methods BROVALE is an interventional non-randomized prospective study designed to evaluate the efficacy and safety of let-COS for fertility preservation in early breast cancer patients before starting (neo)adjuvant chemotherapy. Letrozole was administered throughout the COS cycle, until ovulation triggering. Safety was a secondary endpoint. Data on oncological outcomes were collected during the follow-up as well as plasma and whole blood for evaluation of ctDNA levels at the time of enrollment (i.e. before starting let-COS) and oocyte retrieval (i.e. 48 hours after the last administration of letrozole). Targeted gene sequencing on the primary tumor samples was performed to identify specific mutations used for ctDNA analysis by digital PCR. DNA extracted from whole blood samples was used to discriminate between somatic and germline mutations. Results From April 2014 to May 2017, 29 young early breast cancer patients enrolled in the BROVALE study who had available tissue samples participated to the ctDNA substudy. Among them, 15 had at least one validated somatic mutation. ctDNA was undetectable neither before nor after let-COS in 9 of them. Six patients had detectable ctDNA in the plasma samples collected before Let-COS. No change in ctDNA level after let-COS was observed in 3 patients and the level decreased (fold-change ≤ 0.5) in two women. One patient experienced an increased (fold-change ≥ 2) in ctDNA level but without disease relapse 34 months after diagnosis. Conclusions No increase in ctDNA level was observed in 93% (14/15) of the patients receiving let-COS supporting its use as a safe strategy for young women with early breast cancer interested in fertility preservation before chemotherapy.
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Affiliation(s)
- Françoise Rothé
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium
| | - Matteo Lambertini
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genova, Genova, Italy.,Department of Medical Oncology, U.O.C. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Marion Maetens
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium.,KU Leuven, Department of Oncology, Laboratory for Translational Breast Cancer Research, Leuven, Belgium
| | - Yacine Bareche
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium
| | - Jeremy Blanc
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium
| | - Ghizlane Rouas
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium
| | - Denis Larsimont
- Pathology Department, Institut Jules Bordet, Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium.,Medical Oncology Department, Institut Jules Bordet, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Michail Ignatiadis
- Breast Cancer Translational Research Laboratory J.C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (ULB), U-CRC, Bruxelles, Belgium.,Medical Oncology Department, Institut Jules Bordet, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Isabelle Demeestere
- Fertility Clinic, CUB-Erasme Hospital, Brussels, Belgium.,Research Laboratory on Human Reproduction, Université Libre de Bruxelles, Brussels, Belgium
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Matikas A, Zerdes I, Lövrot J, Sifakis E, Richard F, Sotiriou C, Rassidakis G, Bergh J, Valachis A, Foukakis T. PD-1 protein and gene expression as prognostic factors in early breast cancer. ESMO Open 2021; 5:e001032. [PMID: 33172959 PMCID: PMC7656908 DOI: 10.1136/esmoopen-2020-001032] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 09/07/2020] [Revised: 09/30/2020] [Accepted: 10/03/2020] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND There is a paucity of data on the prognostic value of programmed cell death protein 1 (PD-1) protein and gene expression in early breast cancer (BC) and the present study's aim was to comprehensively investigate it. METHODS The study consisted of three parts: a correlative analysis of PD-1 protein and gene expression from an original patient cohort of 564 patients with early BC; a systematic review and trial-level meta-analysis on the association between PD-1 protein expression and disease-free survival/overall survival (OS) in early BC; and a pooled gene expression analysis from publicly available transcriptomic datasets regarding PDCD1 expression. RESULTS In the study cohort, PD-1 protein, but not gene expression, was associated with improved OS (HRadj=0.73, 95% CI 0.55 to 0.97, p=0.027 and HRadj=0.88, 95% CI 0.68 to 1.13, p=0.312, respectively). In the trial-level meta-analysis, PD-1 protein expression was not found to be statistically significantly associated with outcomes in the overall population. Finally, in the pooled gene expression analysis, higher PDCD1 expression was associated with better OS in multivariable analysis in the entire population (HRadj=0.89, 95% CI 0.80 to 0.99, p=0.025) and in basal-like tumours. CONCLUSIONS PD-1 protein and gene expression seem to be promising prognostic factors in early BC. Standardisation of detection and assessment methods is of utmost importance.
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Affiliation(s)
- Alexios Matikas
- Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Ioannis Zerdes
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
| | - John Lövrot
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Emmanouil Sifakis
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | | | - Christos Sotiriou
- Department of Medical Oncology, Institute Jules Bordet, Brussels, Belgium
| | - Georgios Rassidakis
- Department of Pathology and Cytology, Karolinska University Hospital, Stockholm, Sweden
| | - Jonas Bergh
- Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Antonis Valachis
- Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Theodoros Foukakis
- Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
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De Caluwé A, Buisseret L, Poortmans P, Van Gestel D, Salgado R, Sotiriou C, Larsimont D, Paesmans M, Craciun L, Stylianos D, Vandekerckhove C, Reyal F, Isabelle V, Eiger D, Piccart M, Romano E, Ignatiadis M. Neo-CheckRay: radiation therapy and adenosine pathway blockade to increase benefit of immuno-chemotherapy in early stage luminal B breast cancer, a randomized phase II trial. BMC Cancer 2021; 21:899. [PMID: 34362344 PMCID: PMC8343924 DOI: 10.1186/s12885-021-08601-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 10/06/2020] [Accepted: 07/14/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Residual breast cancer after neo-adjuvant chemotherapy (NACT) predicts disease outcome and is a surrogate for survival in aggressive breast cancer (BC) subtypes. Pathological complete response (pCR) rate, however, is lower for luminal B BC in comparison to the triple negative (TNBC) and HER2+ subtypes. The addition of immune checkpoint blockade (ICB) to NACT has the potential to increase pCR rate but is hampered by the lower immunogenicity of luminal B BC. Novel strategies are needed to stimulate the immune response and increase the response rate to ICB in luminal B BC. METHODS The Neo-CheckRay trial is a randomized phase II trial investigating the impact of stereotactic body radiation therapy (SBRT) to the primary breast tumor in combination with an anti-CD73 (oleclumab) to increase response to anti PD-L1 (durvalumab) and NACT. The trial is designed as a three-arm study: NACT + SBRT +/- durvalumab +/- oleclumab. The result at surgery will be evaluated using the residual cancer burden (RCB) index as the primary endpoint. Six patients will be included in a safety run-in, followed by a randomized phase II trial that will include 136 evaluable patients in 3 arms. Inclusion is limited to luminal B breast cancers that are MammaPrint genomic high risk. DISCUSSION combination of ICB with chemotherapy in luminal B BC might benefit from immune priming agents to increase the response rate. As none have been identified so far, this phase II trial will evaluate SBRT and oleclumab as potential immune priming candidates. TRIAL REGISTRATION trial registered on ClinicalTrials.gov ( NCT03875573 ) on March 14th, 2019.
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Affiliation(s)
- Alex De Caluwé
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium.
| | - Laurence Buisseret
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | | | - Dirk Van Gestel
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | | | - Christos Sotiriou
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Denis Larsimont
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Marianne Paesmans
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Ligia Craciun
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Drisis Stylianos
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | | | | | - Veys Isabelle
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Daniel Eiger
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | - Martine Piccart
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
| | | | - Michail Ignatiadis
- Institut Jules Bordet, Université Libre de Bruxelles, Rue Héger Bordet 1, 1000, Brussels, Belgium
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48
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Venet D, Rediti M, Maetens M, Fumagalli D, Brown DN, Majjaj S, Salgado R, Pusztai L, Harbeck N, El-Abed S, Wang Y, Saura C, Gomez H, Semiglazov VF, de Azambuja E, Huober J, Nuciforo P, Di Cosimo S, Piccart M, Loi S, Rothé F, Sotiriou C. Copy Number Aberration Analysis to Predict Response to Neoadjuvant Anti-HER2 Therapy: Results from the NeoALTTO Phase III Clinical Trial. Clin Cancer Res 2021; 27:5607-5618. [PMID: 34321278 DOI: 10.1158/1078-0432.ccr-21-1317] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/29/2021] [Accepted: 07/23/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE The heterogeneity of response to anti-HER2 agents represents a major challenge in patients with HER2-positive breast cancer. To better understand the sensitivity and resistance to trastuzumab and lapatinib, we investigated the role of copy number aberrations (CNA) in predicting pathologic complete response (pCR) and survival outcomes in the NeoALTTO trial. EXPERIMENTAL DESIGN The neoadjuvant phase III NeoALTTO trial enrolled 455 patients with HER2-positive early-stage breast cancer. DNA samples from 269 patients were assessed for genome-wide copy number profiling. Recurrent CNAs were found with GISTIC2.0. RESULTS CNA estimates were obtained for 184 patients included in NeoALTTO. Among those, matched transcriptome and whole-exome data were available for 154 and 181 patients, respectively. A significant association between gene copy number and pCR was demonstrated for ERBB2 amplification. Nevertheless, ERBB2 amplification ceased to be predictive once ERBB2 expression level was considered. GISTIC2.0 analysis revealed 159 recurrent CNA regions. Lower copy number levels of the 6q23-24 locus predicted absence of pCR in the whole cohort and in the estrogen receptor-positive subgroup. 6q23-24 deletion was significantly more frequent in TP53 wild-type (WT) compared with TP53-mutated, resulting in copy number levels significantly associated with lack of pCR only in the TP53 WT subgroup. Interestingly, a gene-ontology analysis highlighted several immune processes correlated to 6q23-24 copy number. CONCLUSIONS Our analysis identified ERBB2 copy number as well as 6q23-24 CNAs as predictors of response to anti-HER2-based treatment. ERBB2 expression outperformed ERBB2 amplification. The complexity of the 6q23-24 region warrants further investigation.
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Affiliation(s)
- David Venet
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Mattia Rediti
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Marion Maetens
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.,Department of Oncology, Laboratory for Translational Breast Cancer Research, KU Leuven, Leuven, Belgium
| | | | - David N Brown
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.,Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Samira Majjaj
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Ziekenhuizen, Antwerp, Belgium.,Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Lajos Pusztai
- Breast Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Nadia Harbeck
- Breast Center, Dept OB&GYN and CCC Munich, LMU University Hospital, Munich, Germany
| | | | - Yingbo Wang
- Novartis Pharmaceuticals AG, Basel, Switzerland
| | | | - Henry Gomez
- Department of Medical Oncology, Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | - Evandro de Azambuja
- Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Jens Huober
- Department of Obstetrics and Gynecology, University of Ulm, Ulm, Germany.,Breast Center, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Serena Di Cosimo
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Martine Piccart
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Sherene Loi
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Françoise Rothé
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.
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Wang X, Venet D, Dupont F, Rouas G, Stenberg L, Mollbrink A, Larsimont D, Lundeberg J, Rothé F, Sotiriou C. Abstract 182: Recapitulating spatial tumor morphology using automated classifier in triple negative breast cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-182] [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
Introduction Triple negative breast cancer (TNBC) is a heterogeneous disease. Spatial transcriptomics (ST) interrogates gene expression in spatially defined spots. Here, we assessed whether ST expression data could identify specific histomorphologic features from TNBC samples, the ultimate goal being to develop a tool allowing to automatically annotate ST slides from gene expression data.
Methods ST expression profiles were obtained from 41 TNBC samples. T and B cell immune phenotyping was performed on a consecutive slide using double CD3/CD20 IHC. All samples were manually annotated in 11 histomorphological categories (see Table). ST spots with artifacts or less than 500 reads were removed from the analysis. Each spot was assigned to its most common annotation. A linear booster classifier was used to classify the spots into 11 histomorphological categories based on gene expression. Classification accuracy was summarized by area under the ROC curve (AUC), assessed using leave-a-patient-out (LPO) or in-patient 10-fold cross-validation (xVal).
Results Most ST spots were annotated as invasive tumor and stroma with low TILs as well stroma with high TILs (see Table). Overall, the performance of the classifier was very high. However, xVal method obtained higher AUC than the LPO method, reflecting higher interpatient than intrapatient variations. Necrosis, in situ carcinoma and B cells were very variable between patients, but not intrapatient, as shown by low LPO and high xVal AUCs. Of note, misclassification of B cells could be due to poor distinction of B vs T cells on HE slides despite IHC support. Spots with multiple annotations were also more difficult to classify.
Conclusion Here, we developed a high-performance classifier based on the biggest series of ST data allowing to identify several histomorphological features from TNBC tissues, representing a unique tool for further ST research.
SupercategoriesCategoriesAbbreviationsN spotsN samplesAUC LPO (%)AUC Xval (%)StromaStroma220484180.292.5Stroma with low TILslow sTILs140924178.291.8Stroma with high TILshigh sTILs75543984.394.8Blood vesselsBV1912774.283.6Lymphoid nodulesLN185148994.9High lymphocytes B areasBcell26564.495.9Invasive tumorIT126364088.894.7Invasive tumor with low or no intratumoral TILslow iTILs101773987.594.6Invasive tumor with high intratumoral TILshigh iTILs24592484.897.1OthersFat tissuesFT27212292.897.4NecrosisN10621975.295.4In situ carcinomaIS289749.399.1Normal glandsNG1741686.794.4
Citation Format: Xiaoxiao Wang, David Venet, Floriane Dupont, Ghizlane Rouas, Linnea Stenberg, Annelie Mollbrink, Denis Larsimont, Joakim Lundeberg, Françoise Rothé, Christos Sotiriou. Recapitulating spatial tumor morphology using automated classifier in triple negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 182.
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Venet D, Wang X, Dupont F, Rouas G, Stenbeck L, Mollbrink A, Larsimont D, Lundeberg J, Rothé F, Sotiriou C. Abstract 609: Contribution of the tumor and stroma compartments for TNBC molecular classification using spatial transcriptomics analysis. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-609] [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
Introduction Triple negative breast cancer (TNBC) is a heterogeneous disease associated at least with five distinct molecular subtypes namely basal like (BL), immunomodulatory (IM), luminal AR (LAR), mesenchymal (M) and mesenchymal-stem like (MSL). Spatial transcriptomics (ST) interrogates gene expression in spatially defined spots. Here, we aimed to assess the contribution of tumor and stroma compartments in defining each TNBC molecular subtype by comparing bulk tumor RNAseq, pseudo-bulk (PB) derived from ST, tumor and stroma ST spots.
Methods Spatially resolved gene expression profiles were obtained from 94 TNBC samples using ST, spots with artifacts or less than 500 reads being excluded from further analysis. Forty-one TNBC samples were manually annotated by a breast pathologist into 3 different classes: tumor, stroma and the rest. Manual histological annotation was used to build a classifier to assign each ST spot to tumor or stroma compartment. Bulk RNAseq data was obtained from consecutive sections for all tumors using RiboZero kit. PB profiles were obtained by summing the reads from all the spots of a given tumor, as well as from all spots classified as tumor and stroma compartment. A linear booster classifier was used to classify the spots based on gene expression. Each bulk and PB was assigned to one of 5 TNBC molecular subtypes.
Results PB data derived from ST analysis identified 18 BL, 26 IM, 10 LAR, 27 M and 13 MSL among the 94 TNBC tumor samples. An 87% concordance in the subtyping was observed between the bulk and PB data, with half of the discordant cases being between BL and IM subtypes. All LAR and BL tumors, as well as most M (96%) were consistently classified using tumor spots only whereas all MSL (100%) and the majority of LAR (91%) and IM (92%) samples were concordant using stroma spots only. In half of the IM samples, the signal derived from both the tumor and the stroma compartments while in the other half derived from the stroma. Misclassification mainly occurred between BL and IM subtypes, as well as between M and MSL. LAR subtype appeared to be the most stable one.
Conclusion The use of spatial transcriptomics allowed to show the relative contribution of the tumor and stroma compartments for TNBC molecular classification. The LAR, BL and M subtypes were driven by signals from the tumor compartment while MSL was driven by the stroma compartment. The IM signal was derived by both the tumor and stroma compartments.
Citation Format: David Venet, Xiaoxiao Wang, Floriane Dupont, Ghizlane Rouas, Linnea Stenbeck, Annelie Mollbrink, Denis Larsimont, Joakim Lundeberg, Françoise Rothé, Christos Sotiriou. Contribution of the tumor and stroma compartments for TNBC molecular classification using spatial transcriptomics analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 609.
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