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Review
. 2024 Mar;262(3):271-288.
doi: 10.1002/path.6238. Epub 2024 Jan 17.

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

Chowdhury Arif Jahangir  1 David B Page  2 Glenn Broeckx  3   4 Claudia A Gonzalez  1 Caoimbhe Burke  1 Clodagh Murphy  1 Jorge S Reis-Filho  5 Amy Ly  6 Paul W Harms  7 Rajarsi R Gupta  8 Michael Vieth  9 Akira I Hida  10 Mohamed Kahila  11 Zuzana Kos  12 Paul J van Diest  13   14 Sara Verbandt  15 Jeppe Thagaard  16   17 Reena Khiroya  18 Khalid Abduljabbar  19 Gabriela Acosta Haab  20 Balazs Acs  21   22 Sylvia Adams  23   24 Jonas S Almeida  25 Isabel Alvarado-Cabrero  26 Farid Azmoudeh-Ardalan  27 Sunil Badve  28 Nurkhairul Bariyah Baharun  29 Enrique R Bellolio  30 Vydehi Bheemaraju  31 Kim Rm Blenman  32   33 Luciana Botinelly Mendonça Fujimoto  34 Octavio Burgues  35 Alexandros Chardas  36 Maggie Chon U Cheang  37 Francesco Ciompi  38 Lee Ad Cooper  39 An Coosemans  40 Germán Corredor  41 Flavio Luis Dantas Portela  42 Frederik Deman  3 Sandra Demaria  43   44 Sarah N Dudgeon  45 Mahmoud Elghazawy  46   47 Claudio Fernandez-Martín  48 Susan Fineberg  49 Stephen B Fox  50 Jennifer M Giltnane  51 Sacha Gnjatic  52 Paula I Gonzalez-Ericsson  53 Anita Grigoriadis  54   55 Niels Halama  56 Matthew G Hanna  57 Aparna Harbhajanka  58 Steven N Hart  59 Johan Hartman  22   60 Stephen Hewitt  61 Hugo M Horlings  62 Zaheed Husain  63 Sheeba Irshad  64 Emiel Am Janssen  65   66 Tatsuki R Kataoka  67 Kosuke Kawaguchi  68 Andrey I Khramtsov  69 Umay Kiraz  65   66 Pawan Kirtani  70 Liudmila L Kodach  71 Konstanty Korski  72 Guray Akturk  73 Ely Scott  74 Anikó Kovács  75   76 Anne-Vibeke Laenkholm  77   78 Corinna Lang-Schwarz  9 Denis Larsimont  79 Jochen K Lennerz  80 Marvin Lerousseau  81   82   83 Xiaoxian Li  84 Anant Madabhushi  85 Sai K Maley  86 Vidya Manur Narasimhamurthy  87 Douglas K Marks  23 Elizabeth S McDonald  88 Ravi Mehrotra  89   90 Stefan Michiels  91 Durga Kharidehal  92 Fayyaz Ul Amir Afsar Minhas  93 Shachi Mittal  94 David A Moore  95 Shamim Mushtaq  96 Hussain Nighat  97 Thomas Papathomas  98   99 Frederique Penault-Llorca  100 Rashindrie D Perera  101   102 Christopher J Pinard  103   104   105   106 Juan Carlos Pinto-Cardenas  107 Giancarlo Pruneri  108   109 Lajos Pusztai  110   111 Nasir Mahmood Rajpoot  112 Bernardo Leon Rapoport  113   114 Tilman T Rau  115 Joana M Ribeiro  116 David Rimm  117   118 Anne Vincent-Salomon  119 Joel Saltz  120 Shahin Sayed  121 Evangelos Hytopoulos  121   122 Sarah Mahon  123 Kalliopi P Siziopikou  124 Christos Sotiriou  125   126 Albrecht Stenzinger  127 Maher A Sughayer  128 Daniel Sur  129 Fraser Symmans  130 Sunao Tanaka  131 Timothy Taxter  132 Sabine Tejpar  15 Jonas Teuwen  133 E Aubrey Thompson  134 Trine Tramm  135 William T Tran  136 Jeroen van der Laak  37 Gregory E Verghese  54   55 Giuseppe Viale  137 Noorul Wahab  138 Thomas Walter  81   82   83 Yannick Waumans  139 Hannah Y Wen  57 Wentao Yang  140 Yinyin Yuan  141 John Bartlett  142 Sibylle Loibl  143 Carsten Denkert  144 Peter Savas  102   145 Sherene Loi  102   146 Elisabeth Specht Stovgaard  147 Roberto Salgado  3   102 William M Gallagher  1 Arman Rahman  148
Affiliations
Review

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

Chowdhury Arif Jahangir et al. J Pathol. 2024 Mar.

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.

Keywords: cancer prognosis; clinical integration; digital image analysis; multiplex imaging; multiplex immunofluorescence; multiplex immunohistochemistry; therapy response; tumour immune profiling; tumour infiltrating lymphocytes.

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Conflict of interest statement

DBP: Speaker’s Bureau: Genentech, Novartis, Clinical Care Options, Oncocyte; research support: WindMIL, Brooklyn Immunotherapeutics, Merck, Bristol Myers Squibb, IMV; consulting: Merck, Biotheranostics, Puma, Gilead, Lilly, Sanofi, NGM Bio, Sanford Burnham Prebys, AstraZeneca. GB: Speaker’s fee from MSD and Novartis, advisory boards for Roche and MSD, consultant for MSD, Novartis, and Roche, travel and conference support from Roche, MSD, and Gilead. JSR-F is an Associate Editor of The Journal of Pathology and has received personal/consultancy fees from Goldman Sachs, Bain Capital, REPARE Therapeutics, Saga Diagnostics, and PaigeAl, membership of the scientific advisory boards of VolitionRx, REPARE Therapeutics, and Paige. Al, membership of the Board of Directors of Grupo Oncoclinicas, and ad hoc membership of the scientific advisory boards of AstraZeneca, Merck Daiichi Sankyo, Roche Tissue Diagnostics, and Personalis, outside the scope of this study. AIH: Research fund from Visiopharm A/S. ZK: Paid advisory role for Eli Lilly and AstraZeneca Canada. JT: Employee of Visiopharm A/S. KRMB: Scientific Advisory Board for CDI Labs, research funding form Carevive. FC: Chair of the Scientific and Medical Advisory Board of TRIBVN Healthcare, France, and advisory board fees from TRIBVN Healthcare, France in the last 5 years. Shareholder of Aiosyn BV, the Netherlands. LADC: Participation in the Tempus Algorithm Advisors program. AC: Contracted researcher for Oncoinvent AS and Novocure and a consultant for Sotio a.s. and Epics Therapeutics SA. ME: Egyptian missions sector. SBF: Expert advisory panel for AXDEV Group. JMG: Employee and stockholder of Roche/Genentech. SG: Research funding from Regeneron Pharmaceuticals, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Genentech, EMD Serono, Pfizer, and Takeda, unrelated to the current work; named co-inventor on an issued patent for multiplex immunohistochemistry to characterise tumours and treatment responses. The technology is filed through Icahn School of Medicine at Mount Sinai (ISMMS) and is currently unlicensed. NH: Patent on a technology to measure immune infiltration in cancer to predict treatment outcome (W02012038068A2). MGH: Consultant for PaigeAl, VolastraTx, and advisor for PathPresenter. JH: Speaker’s honoraria or advisory board remunerations from Roche, Novartis, AstraZeneca, Eli Lilly, and MSD. Co-founder and shareholder of Stratipath AB. KK Employee and stockholder of Roche. GA: Employee of Merck & Co Inc. AIK: Honorarium from Roche, MSD, and Pfizer, member of the Advisory Board of Pfizer. A-VL Institutional grants from AstraZeneca and personal grants from AstraZeneca (travel and honorarium from advisory board), MSD (honorarium from advisory board), and Daiichi Sankyo (travel). XL: Eli Lilly Company, Advisor, Cancer Expert Now, Advisor, Champions Oncology, Research fund. AM: Equity holder in Picture Health, Elucid Bioimaging and Inspirata Inc, advisory board of Picture Health, Aiforia Inc and SimBioSys, consultant for SimBioSys, sponsored research agreements with AstraZeneca, Boehringer-lngelheim, Eli-Lilly, and Bristol Myers Squibb, technology licensed to Picture Health and Elucid Bioimaging involvement in three different R01 grants with Inspirata Inc DKM: Consulting: Astrazeneca, Lilly USA LLC Hologic. Sponsored Research: Merck Agendia. SM: Scientific Committee Study member. Roche, data and safety monitoring member of clinical trials: Sensorion, Biophytis, Servier, IQVIA, Yuhan, Kedrion. FuAAM: Research studentship funding from GSK DAM: Speaker fees from AstraZeneca, Eli Lilly, and Takeda, consultancy fees from AstraZeneca, Thermo Fisher, Takeda, Amgen, Janssen, M/M Software, Bristol Myers Squibb, and Eli Lilly, educational support from Takeda and Amgen. FP-L: Personal financial interests: AbbVie, Agendia, Amgen, Astellas, AstraZeneca, Bayer, BMS, Daiichi-Sankyo, Eisai, Exact Science, GSK lllumina, Incyte, Janssen, Lilly, MERCK lifa, Merck-MSD, Myriad, Novartis, Pfizer, Pierre-Fabre, Roche, Sanofi, Seagen, Takeda, Veracyte, Servier. Institutional financial interests: AstraZeneca, Bayer, BMS, MSD, Myriad, Roche, Veracyte. Congress invitations: AbbVie, Amgen, AstraZeneca, Bayer, BMS, Gilead, MSD, Novartis, Roche, Lilly, Pfizer. NMR: Co-Founder, Director and CSO of Histofy Ltd, UK AS: Advisory Board/Speaker’s Bureau: Aignostics, AstraZeneca, Bayer, BMS, Eli Lilly, lllumina, Incyte, Janssen, MSD, Novartis, Pfizer, Roche, Seagen, Takeda, and Thermo Fisher; grants from Bayer, Bristol Meyers Squibb, Chugai, and Incyte. TT: Employee of Tempus Labs. JT: Shareholder of EllogonAI BV. TT: Speaker’s fee from Pfizer. JvdL: Member of the advisory boards of Philips, the Netherlands and ContextVision, Sweden, research funding from Philips, the Netherlands, ContextVision, Sweden, and Sectra, Sweden in the last 5 years. Chief scientific officer and shareholder of Aiosyn BV, the Netherlands. TW: Collaboration with TRIBUN Health on automatic grading of biopsies for head and neck cancer, patent on the prediction of homologous recombination deficiency in breast cancer. YW: Employee of CellCarta. HYW: Advisory faculty of AstraZeneca. YY: Speaker/consultant for Roche and Merck PS: Consultant (uncompensated) to Roche-Genentech. SL Research funding to institution from Novartis, Bristol Meyers Squibb, Merck Puma Biotechnology, Eli Lilly, Nektar Therapeutics, AstraZeneca, Roche-Genentech, and Seattle Genetics. Consultant (not compensated) to Seattle Genetics, Novartis, Bristol Meyers Squibb, Merck, AstraZeneca, Eli Lilly, Pfizer, and Roche-Genentech. Consultant (paid to her institution) to Aduro Biotech, Novartis, GlaxoSmithKline, Roche-Genentech, AstraZeneca, Silverback Therapeutics, GI Therapeutics, PUMA Biotechnologies, Pfizer, Gilead Therapeutics, Seattle Genetics, Daiichi-Sankyo, Amunix, Tallac therapeutics, Eli Lilly, and Bristol Meyers Squibb. RS: Non-financial support from Merck and Bristol Myers Squibb, research support from Merck Puma Biotechnology and Roche; personal fees from Roche, Bristol Myers Squibb and Exact Sciences for advisory boards. WMG: Co-founder, shareholder and part-time Chief Scientific Officer of OncoAssure Limited, shareholder in Deciphex and member of the Scientific Advisory Board of Carrick Therapeutics.

Figures

Figure 1.
Figure 1.
mIF staining of a panel of five immune markers plus one epithelial marker. (A and B) A breast cancer TMA core showing composite staining of each of the six markers in the mIF panel (CD4, CD8, F0XP3, CD68, CD68, and PanCK) together with DAPI. (C–H) Individual images of CD4 (green), CD8 (yellow), F0XP3 (orange), CD68 (red), CD20 (white), and PanCK (purple) with DAPI counterstain.
Figure 2.
Figure 2.
Comparison of experimental design between conventional chromogenic IHC and mIF. (A) In conventional chromogenic IHC, each marker requires a separate slide. Although multiplexing with chromogenic IHC is possible, it is severely restricted in terms of the number of markers that can be simultaneously stained. (B) With mIF, one section is enough to examine multiple markers. The figure was partly created using BioRender.com.
Figure 3.
Figure 3.
TIL profiling with H&E versus conventional chromogenic IHC versus mIF. (A) H&E staining enables the measurement of total TILs in tissue, whereas, with conventional IHC, a specific immune population can be profiled based on a single protein marker. (B) mIF staining allows the total TIL population to be subtyped based on multiple markers. It is also possible to further characterise cells based on marker colocalisation. With an epithelial or tumour differentiation marker, it is possible to automate tumour-stroma segmentation with image analysis software. Furthermore, multiplex images can be used to map spatial distributions of different cell phenotypes and examine their proximal associations, and further identify distinct cellular neighbourhoods. Created with BioRender.com.
Figure 4.
Figure 4.
DIA workflow for mIF. (A) First, raw images are generated by scanning stained tissue slides. (B) Spectral unmixing and autofluorescence removal are performed with the software to extract the true signals from each marker. (C) A tissue segmentation algorithm is run to segment tumour and stromal areas. (D) Cell segmentation followed by cell phenotyping is performed to classify all cells based on the marker panel used. (E) Finally, spatial mapping of all cell classes is carried out for further proximity analysis. The images were generated using inForm® image analysis software, Akoya Bioscience.

References

    1. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 144: 646–674. - PubMed
    1. Chen DS, Mellman I. Oncology meets immunology: the cancer-immunity cycle. Immunity 2013; 39: 1–10. - PubMed
    1. Gonzalez H, Hagerling C, Werb Z. Roles of the immune system in cancer: from tumor initiation to metastatic progression. Genes Dev 2018; 32: 1267–1284. - PMC - PubMed
    1. Zamarron BF, Chen W. Dual roles of immune cells and their factors in cancer development and progression. Int J Biol Sci 2011; 7:651–658. - PMC - PubMed
    1. Ribatti D The concept of immune surveillance against tumors. The first theories. Oncotarget 2017; 8: 7175–7180. - PMC - PubMed

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