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      Anti-PD-1 therapy triggers Tfh cell–dependent IL-4 release to boost CD8 T cell responses in tumor-draining lymph nodes

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          Abstract

          The peripheral activity of anti-PD-1 mAb is not fully understood. Here, Ruggiu, Guérin et al. demonstrate that anti-PD-1 mAb promotes CD8 + T cell responses in tumor-draining lymph node by targeting Tfh cells and stimulating IL-4 production.

          Abstract

          Anti-PD-1 therapy targets intratumoral CD8 + T cells to promote clinical responses in cancer patients. Recent evidence suggests an additional activity in the periphery, but the underlying mechanism is unclear. Here, we show that anti-PD-1 mAb enhances CD8 + T cell responses in tumor-draining lymph nodes by stimulating cytokine production in follicular helper T cells (Tfh). In two different models, anti-PD-1 mAb increased the activation and proliferation of tumor-specific T cells in lymph nodes. Surprisingly, anti-PD-1 mAb did not primarily target CD8 + T cells but instead stimulated IL-4 production by Tfh cells, the major population bound by anti-PD-1 mAb. Blocking IL-4 or inhibiting the Tfh master transcription factor BCL6 abrogated anti-PD-1 mAb activity in lymph nodes while injection of IL-4 complexes was sufficient to recapitulate anti-PD-1 mAb activity. A similar mechanism was observed in a vaccine model. Finally, nivolumab also boosted human Tfh cells in humanized mice. We propose that Tfh cells and IL-4 play a key role in the peripheral activity of anti-PD-1 mAb.

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          Pembrolizumab versus Chemotherapy for PD-L1–Positive Non–Small-Cell Lung Cancer

          Pembrolizumab is a humanized monoclonal antibody against programmed death 1 (PD-1) that has antitumor activity in advanced non-small-cell lung cancer (NSCLC), with increased activity in tumors that express programmed death ligand 1 (PD-L1).
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            Cancer immunotherapy using checkpoint blockade

            The release of negative regulators of immune activation (immune checkpoints) that limit antitumor responses has resulted in unprecedented rates of long-lasting tumor responses in patients with a variety of cancers. This can be achieved by antibodies blocking the cytotoxic T lymphocyte antigen-4 (CTLA-4) or the programmed death-1 (PD-1) pathway, either alone or in combination. The main premise for inducing an immune response is the pre-existence of antitumor T cells that were limited by specific immune checkpoints. Most patients who have tumor responses maintain long lasting disease control, yet one third of patients relapse. Mechanisms of acquired resistance are currently poorly understood, but evidence points to alterations that converge on the antigen presentation and interferon gamma signaling pathways. New generation combinatorial therapies may overcome resistance mechanisms to immune checkpoint therapy.
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              QuPath: Open source software for digital pathology image analysis

              QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: Investigation
                Role: Formal analysisRole: InvestigationRole: Visualization
                Role: Investigation
                Role: InvestigationRole: ValidationRole: Visualization
                Role: Resources
                Role: Investigation
                Role: Methodology
                Role: InvestigationRole: MethodologyRole: Resources
                Role: InvestigationRole: Supervision
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing - original draftRole: Writing - review & editing
                Journal
                J Exp Med
                J Exp Med
                jem
                The Journal of Experimental Medicine
                Rockefeller University Press
                0022-1007
                1540-9538
                01 April 2024
                28 February 2024
                28 February 2024
                : 221
                : 4
                : e20232104
                Affiliations
                [1 ]Institut Pasteur, Université de Paris Cité, INSERM U1223 ( https://ror.org/0495fxg12) , Paris, France
                [2 ]Human Disease Models Core Facility, Institut Pasteur ( https://ror.org/0495fxg12) , Paris, France
                [3 ]Vaccine Research Institute; , Creteil, France
                Author notes
                Correspondence to Philippe Bousso: philippe.bousso@ 123456pasteur.fr
                [*]

                M. Ruggiu and M.V. Guérin contributed equally to this paper.

                Disclosures: The authors declare no competing interests exist.

                Author information
                https://orcid.org/0009-0001-2739-5378
                https://orcid.org/0000-0003-2159-8518
                https://orcid.org/0009-0001-2149-3583
                https://orcid.org/0009-0006-1924-8323
                https://orcid.org/0000-0002-0884-967X
                https://orcid.org/0000-0002-0997-1861
                https://orcid.org/0000-0003-0774-809X
                https://orcid.org/0009-0002-3307-181X
                https://orcid.org/0000-0003-2287-6129
                https://orcid.org/0000-0003-0131-3853
                https://orcid.org/0000-0002-2901-7186
                https://orcid.org/0000-0002-6362-561X
                Article
                jem.20232104
                10.1084/jem.20232104
                10901238
                38417020
                a25053d4-3472-44fc-816a-c18f5106be15
                © 2024 Ruggiu et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 15 November 2023
                : 22 December 2023
                : 02 February 2024
                Funding
                Funded by: Institut Pasteur, DOI http://dx.doi.org/10.13039/501100003762;
                Funded by: Aviesan ITMO Cancer;
                Funded by: Institut National de la Santé et de la Recherche Médicale, DOI http://dx.doi.org/10.13039/501100001677;
                Funded by: European Research Council, DOI http://dx.doi.org/10.13039/501100000781;
                Funded by: Agence Nationale de la Recherche, DOI http://dx.doi.org/10.13039/501100001665;
                Award ID: ANR-10-LABX-77-01
                Funded by: Fondation ARC, DOI http://dx.doi.org/10.13039/501100004097;
                Categories
                Article
                Tumor Immunology

                Medicine
                Medicine

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