Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing
Objectives Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to...
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2025-01-01
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| Series: | Journal for ImmunoTherapy of Cancer |
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| author | Ignacio I Wistuba Michael T Tetzlaff Carlo B Bifulco Benjamin Green Sacha Gnjatic Scott J Rodig Joel C Sunshine Janis M Taube Keith E Steele Marlon C Rebelatto David L Rimm Ana Lako Edwin R Parra Guray Akturk Michael Angelo Shirley Greenbaum Noah F Greenwald Cyrus V Hedvat Travis J Hollmann Kurt A Schalper Cláudia S Ferreira Konstanty Korski Emanuel Schenck Michael J Surace Jennifer H Yearley Jeffrey S Roskes Margaret Eminizer Logan L Engle Daniel Jiménez-Sánchez Jamie Rodriguez-Canales Alexander S Szalay |
| author_facet | Ignacio I Wistuba Michael T Tetzlaff Carlo B Bifulco Benjamin Green Sacha Gnjatic Scott J Rodig Joel C Sunshine Janis M Taube Keith E Steele Marlon C Rebelatto David L Rimm Ana Lako Edwin R Parra Guray Akturk Michael Angelo Shirley Greenbaum Noah F Greenwald Cyrus V Hedvat Travis J Hollmann Kurt A Schalper Cláudia S Ferreira Konstanty Korski Emanuel Schenck Michael J Surace Jennifer H Yearley Jeffrey S Roskes Margaret Eminizer Logan L Engle Daniel Jiménez-Sánchez Jamie Rodriguez-Canales Alexander S Szalay |
| author_sort | Ignacio I Wistuba |
| collection | DOAJ |
| description | Objectives Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.Methods The Society for Immunotherapy of Cancer convened a task force of pathologists and laboratory leaders from academic centers as well as experts from pharmaceutical and diagnostic companies to develop best practice guidelines for the quantitative image analysis of mIHC/IF output and data management considerations.Results Best-practice approaches for image acquisition, color deconvolution and spectral unmixing, tissue and cell segmentation, phenotyping, and algorithm verification are reviewed. Additional quality control (QC) measures such as batch-to-batch correction and QC for assembled images are also discussed. Recommendations for sharing raw outputs, processed results, key analysis programs and source code, and representative photomicrographs from mIHC/IF assays are included. Lastly, multi-institutional harmonization efforts are described.Conclusions mIHC/IF technologies are maturing and are routinely included in research studies and moving towards clinical use. Guidelines for how to perform and standardize image analysis on mIHC/IF-stained slides will likely contribute to more comparable results across laboratories and pave the way for clinical implementation. A checklist encompassing these two-part guidelines for the generation of robust data from quantitative mIHC/IF assays will be provided in a third publication from this task force. While the current effort is mainly focused on best practices for characterizing the tumor microenvironment, these principles are broadly applicable to any mIHC/IF assay and associated image analysis. |
| format | Article |
| id | doaj-art-355e2a4c502a4d9d8728996f3675f8eb |
| institution | Kabale University |
| issn | 2051-1426 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMJ Publishing Group |
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| series | Journal for ImmunoTherapy of Cancer |
| spelling | doaj-art-355e2a4c502a4d9d8728996f3675f8eb2025-01-09T09:20:09ZengBMJ Publishing GroupJournal for ImmunoTherapy of Cancer2051-14262025-01-0113110.1136/jitc-2024-008875Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharingIgnacio I Wistuba0Michael T Tetzlaff1Carlo B Bifulco2Benjamin Green3Sacha Gnjatic4Scott J Rodig5Joel C Sunshine6Janis M Taube7Keith E Steele8Marlon C Rebelatto9David L Rimm10Ana Lako11Edwin R Parra12Guray Akturk13Michael Angelo14Shirley Greenbaum15Noah F Greenwald16Cyrus V Hedvat17Travis J Hollmann18Kurt A Schalper19Cláudia S Ferreira20Konstanty Korski21Emanuel Schenck22Michael J Surace23Jennifer H Yearley24Jeffrey S Roskes25Margaret Eminizer26Logan L Engle27Daniel Jiménez-Sánchez28Jamie Rodriguez-Canales29Alexander S Szalay30Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USADepartments of Pathology and Dermatology, University of California San Francisco, San Francisco, California, USAProvidence Portland Medical Center, Portland, Oregon, USABloomberg~Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University SOM, Baltimore, Maryland, USAIcahn School of Medicine at Mount Sinai Tisch Cancer Institute, New York, New York, USADana Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USABloomberg~Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University SOM, Baltimore, Maryland, USAMark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University SOM, Baltimore, Maryland, USASR Pathology LLC, Gaithersburg, Maryland, USAAstraZeneca, Gaithersburg, Maryland, USADepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USADana Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USADepartment of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USAMerck & Co, Rahway, New Jersey, USADepartment of Pathology, Stanford University School of Medicine, Palo Alto, California, USADepartment of Pathology, Stanford University School of Medicine, Palo Alto, California, USADepartment of Pathology, Stanford University School of Medicine, Palo Alto, California, USADepartment of Pathology, Molecular and Cell-based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USADepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USAPharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, GermanyDepartment of Personalized Healthcare, Data, Analytics and Imaging Group, F Hoffmann-La Roche AG, Basel, SwitzerlandAstraZeneca, Gaithersburg, Maryland, USAAstraZeneca, Gaithersburg, Maryland, USAMerck & Co, Rahway, New Jersey, USADepartment of Astronomy and Physics, Johns Hopkins University, Baltimore, Maryland, USAJohns Hopkins University, Baltimore, Maryland, USABloomberg~Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University SOM, Baltimore, Maryland, USABloomberg~Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University SOM, Baltimore, Maryland, USADaiichi Dankyo, Basking Ridge, New Jersey, USAMark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University SOM, Baltimore, Maryland, USAObjectives Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.Methods The Society for Immunotherapy of Cancer convened a task force of pathologists and laboratory leaders from academic centers as well as experts from pharmaceutical and diagnostic companies to develop best practice guidelines for the quantitative image analysis of mIHC/IF output and data management considerations.Results Best-practice approaches for image acquisition, color deconvolution and spectral unmixing, tissue and cell segmentation, phenotyping, and algorithm verification are reviewed. Additional quality control (QC) measures such as batch-to-batch correction and QC for assembled images are also discussed. Recommendations for sharing raw outputs, processed results, key analysis programs and source code, and representative photomicrographs from mIHC/IF assays are included. Lastly, multi-institutional harmonization efforts are described.Conclusions mIHC/IF technologies are maturing and are routinely included in research studies and moving towards clinical use. Guidelines for how to perform and standardize image analysis on mIHC/IF-stained slides will likely contribute to more comparable results across laboratories and pave the way for clinical implementation. A checklist encompassing these two-part guidelines for the generation of robust data from quantitative mIHC/IF assays will be provided in a third publication from this task force. While the current effort is mainly focused on best practices for characterizing the tumor microenvironment, these principles are broadly applicable to any mIHC/IF assay and associated image analysis.https://jitc.bmj.com/content/13/1/e008875.full |
| spellingShingle | Ignacio I Wistuba Michael T Tetzlaff Carlo B Bifulco Benjamin Green Sacha Gnjatic Scott J Rodig Joel C Sunshine Janis M Taube Keith E Steele Marlon C Rebelatto David L Rimm Ana Lako Edwin R Parra Guray Akturk Michael Angelo Shirley Greenbaum Noah F Greenwald Cyrus V Hedvat Travis J Hollmann Kurt A Schalper Cláudia S Ferreira Konstanty Korski Emanuel Schenck Michael J Surace Jennifer H Yearley Jeffrey S Roskes Margaret Eminizer Logan L Engle Daniel Jiménez-Sánchez Jamie Rodriguez-Canales Alexander S Szalay Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing Journal for ImmunoTherapy of Cancer |
| title | Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing |
| title_full | Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing |
| title_fullStr | Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing |
| title_full_unstemmed | Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing |
| title_short | Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing |
| title_sort | society for immunotherapy of cancer updates and best practices for multiplex immunohistochemistry ihc and immunofluorescence if image analysis and data sharing |
| url | https://jitc.bmj.com/content/13/1/e008875.full |
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