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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

  • David B. Page*
  • , Glenn Broeckx
  • , Chowdhury Arif Jahangir
  • , Sara Verbandt
  • , Rajarsi R. Gupta
  • , Jeppe Thagaard
  • , Reena Khiroya
  • , Zuzana Kos
  • , Khalid Abduljabbar
  • , Gabriela Acosta Haab
  • , Balazs Acs
  • , Guray Akturk
  • , Jonas S. Almeida
  • , Isabel Alvarado-Cabrero
  • , Farid Azmoudeh-Ardalan
  • , Sunil Badve
  • , Nurkhairul Bariyah Baharun
  • , Enrique R. Bellolio
  • , Vydehi Bheemaraju
  • , Kim R.M. Blenman
  • Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Maggie Chon U. Cheang, Francesco Ciompi, Lee A.D. Cooper, An Coosemans, Germán Corredor, Flavio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Sarah N. Dudgeon, Mahmoud Elghazawy, Scott Ely, Claudio Fernandez-Martín, Susan Fineberg, Stephen B. Fox, William M. Gallagher, Jennifer M. Giltnane, Sacha Gnjatic, Paula I. Gonzalez-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G. Hanna, Aparna Harbhajanka, Alexandros Hardas, Steven N. Hart, Johan Hartman, Stephen Hewitt, Akira I. Hida, Hugo M. Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel A.M. Janssen, Mohamed Kahila, Tatsuki R. Kataoka, Kosuke Kawaguchi, Durga Kharidehal, Andrey I. Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L. Kodach, Konstanty Korski, Anikó Kovács, Anne Vibeke Laenkholm, Corinna Lang-Schwarz, Denis Larsimont, Jochen K. Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai K. Maley, Vidya Manur Narasimhamurthy, Douglas K. Marks, Elizabeth S. McDonald, Ravi Mehrotra, Stefan Michiels, Fayyaz ul Amir Afsar Minhas, Shachi Mittal, David A. Moore, Shamim Mushtaq, Hussain Nighat, Thomas Papathomas, Frederique Penault-Llorca, Rashindrie D. Perera, Christopher J. Pinard, Juan Carlos Pinto-Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Mahmood Rajpoot, Bernardo Leon Rapoport, Tilman T. Rau, Jorge S. Reis-Filho, Joana M. Ribeiro, David Rimm, Anne Vincent-Salomon, Manuel Salto-Tellez, Joel Saltz, Shahin Sayed, Kalliopi P. Siziopikou, Christos Sotiriou, Albrecht Stenzinger, Maher A. Sughayer, Daniel Sur, Fraser Symmans, Sunao Tanaka, Timothy Taxter, Sabine Tejpar, Jonas Teuwen, E. Aubrey Thompson, Trine Tramm, William T. Tran, Jeroen van der Laak, Paul J. van Diest, Gregory E. Verghese, Giuseppe Viale, Michael Vieth, Noorul Wahab, Thomas Walter, Yannick Waumans, Hannah Y. Wen, Wentao Yang, Yinyin Yuan, Sylvia Adams, John Mark Seaverns Bartlett, Sibylle Loibl, Carsten Denkert, Peter Savas, Sherene Loi, Roberto Salgado, Elisabeth Specht Stovgaard
*Corresponding author for this work
  • University of Antwerp
  • University College Dublin
  • KU Leuven
  • Stony Brook University
  • University College London
  • University of British Columbia
  • Karolinska Institutet
  • Merck
  • National Institutes of Health
  • Instituto Mexicano del Seguro Social
  • Tehran University of Medical Sciences
  • Emory University
  • Universiti Kebangsaan Malaysia
  • Universidad de la Frontera
  • Yale University
  • Mohammed VI Polytechnic University
  • Hospital Clinico Universitario de Valencia
  • Radboud University Nijmegen
  • Northwestern University
  • Cornell University
  • University of Surrey
  • Bristol-Myers Squibb
  • Polytechnic University of Valencia
  • Yeshiva University
  • Genentech Incorporated
  • Icahn School of Medicine at Mount Sinai
  • Vanderbilt University
  • King's College London
  • German Cancer Research Center
  • Memorial Sloan-Kettering Cancer Center
  • Case Western Reserve University
  • Royal Veterinary College University of London
  • Mayo Clinic Rochester, MN
  • Netherlands Cancer Institute
  • Guy's and St Thomas' NHS Foundation Trust
  • University of Stavanger
  • Iwate Medical University
  • Kyoto University
  • Children's Memorial Hospital
  • Antoni van Leeuwenhoek Hospital
  • F. Hoffmann-La Roche AG
  • University of Gothenburg
  • Sjællands Universitetshospital
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Université libre de Bruxelles
  • Harvard University
  • Georgia Institute of Technology
  • NSABP Foundation, Inc.
  • New York University
  • University of Pennsylvania
  • Institut Gustave Roussy
  • University of Warwick
  • University of Washington
  • Ziauddin University
  • All India Institute of Medical Sciences, Raipur
  • University of Birmingham
  • University of Guelph
  • University of Milan
  • University of Pretoria
  • Heinrich Heine University Düsseldorf
  • Queen's University Belfast
  • Aga Khan University
  • Heidelberg University 
  • King Hussein Cancer Center
  • Iuliu Hatieganu University of Medicine and Pharmacy
  • University of Texas MD Anderson Cancer Center
  • Mayo Clinic Jacksonville, FL
  • Aarhus University
  • Utrecht University
  • IRCCS Istituto Europeo di Oncologia - Milano
  • Fudan University
  • University of Edinburgh
  • German Breast Group
  • University of Marburg
  • Providence Cancer Institute
  • Hospital Maria Curie
  • Narayana Medical College and Hospital
  • Federal University of Amazonas
  • Hospital Universitário Getúlio Vargas
  • GZA-ZNA Hospitals
  • Matsuyama Shimin Hospital
  • Praava Health
  • iRhythm Technologies Inc.
  • Aakash Healthcare Super Speciality Hospital
  • Manipal Hospitals Dwarka
  • Indian Cancer Genomic Atlas
  • CRUK Lung Cancer Centre of Excellence
  • Université Clermont Auvergne
  • Diagnostico de Salud Animal
  • Tempus Labs
  • University of Toronto
  • CellCarta NV
  • Institute of Cancer Research
  • University of Melbourne
  • Institut Curie
  • École des mines Paris
  • Peter Maccallum Cancer Centre
  • University of Copenhagen

Research output: Contribution to journal › Review › peer-review

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.

Original languageEnglish
JournalJournal of Pathology
Volume260
Issue number5
Pages (from-to)514-532
ISSN0022-3417
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Immunoscore
  • Multispectral immunofluorescence
  • Spatial heterogeneity
  • Spatial statistics
  • sTIL score
  • TIL
  • Tumor infiltrating lymphocytes

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