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      Phosphodiesterase-5 inhibition collaborates with vaccine-based immunotherapy to reprogram myeloid cells in pancreatic ductal adenocarcinoma

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      1 , 1 , 2 , 1 , 2 , 3 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 1 , 1 , 1 , 2 , 1 , 2 , 1 , 1 , 1 , 1 , 2 , 1 , 4 , 1 , 4 , 1 , 2 , 4 , 1 , 2 , 3 , 5 , 6 , 1 , 2 ,
      JCI Insight
      American Society for Clinical Investigation
      Immunology, Oncology, Cancer immunotherapy, Immunotherapy, Phosphodiesterases

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          Abstract

          Pancreatic ductal adenocarcinoma (PDAC) is highly lethal and resistant to immunotherapy. Although immune recognition can be enhanced with immunomodulatory agents including checkpoint inhibitors and vaccines, few patients experience clinical efficacy because the tumor immune microenvironment (TiME) is dominated by immunosuppressive myeloid cells that impose T cell inhibition. Inhibition of phosphodiesterase-5 (PDE5) was reported to downregulate metabolic regulators arginase and inducible NOS in immunosuppressive myeloid cells and enhance immunity against immune-sensitive tumors, including head and neck cancers. We show for the first time to our knowledge that combining a PDE5 inhibitor, tadalafil, with a mesothelin-specific vaccine, anti–programmed cell death protein 1, and anti–cytotoxic T lymphocyte–associated protein 4 yields antitumor efficacy even against immune-resistant PDAC. To determine immunologic advantages conferred by tadalafil, we profiled the TiME using mass cytometry and single-cell RNA-sequencing analysis with Domino to infer intercellular signaling. Our analyses demonstrated that tadalafil reprograms myeloid cells to be less immunosuppressive. Moreover, tadalafil synergized with the vaccine, enhancing T cell activation including mesothelin-specific T cells. Tadalafil treatment was also associated with myeloid/T cell signaling axes important for antitumor responses (e.g., Cxcr3, Il12). Our study shows that PDE5 inhibition combined with vaccine-based immunotherapy promotes pro-inflammatory states of myeloid cells, activation of T cells, and enhanced myeloid/T cell crosstalk to yield antitumor efficacy against immune-resistant PDAC.

          Abstract

          Abstract

          Phosphodiesterase-5 inhibition collaborates with a mesothelin-specific vaccine and immune checkpoint inhibitors to yield antitumor efficacy through myeloid and lymphocyte modulation in pancreatic ductal adenocarcinoma.

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          Most cited references51

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          Cancer statistics, 2020

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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            Integrated analysis of multimodal single-cell data

            Summary The simultaneous measurement of multiple modalities represents an exciting frontier for single-cell genomics and necessitates computational methods that can define cellular states based on multimodal data. Here, we introduce “weighted-nearest neighbor” analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of 211,000 human peripheral blood mononuclear cells (PBMCs) with panels extending to 228 antibodies to construct a multimodal reference atlas of the circulating immune system. Multimodal analysis substantially improves our ability to resolve cell states, allowing us to identify and validate previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets and to interpret immune responses to vaccination and coronavirus disease 2019 (COVID-19). Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a unified and multimodal definition of cellular identity.
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              The Molecular Signatures Database (MSigDB) hallmark gene set collection.

              The Molecular Signatures Database (MSigDB) is one of the most widely used and comprehensive databases of gene sets for performing gene set enrichment analysis. Since its creation, MSigDB has grown beyond its roots in metabolic disease and cancer to include >10,000 gene sets. These better represent a wider range of biological processes and diseases, but the utility of the database is reduced by increased redundancy across, and heterogeneity within, gene sets. To address this challenge, here we use a combination of automated approaches and expert curation to develop a collection of "hallmark" gene sets as part of MSigDB. Each hallmark in this collection consists of a "refined" gene set, derived from multiple "founder" sets, that conveys a specific biological state or process and displays coherent expression. The hallmarks effectively summarize most of the relevant information of the original founder sets and, by reducing both variation and redundancy, provide more refined and concise inputs for gene set enrichment analysis.
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                Author and article information

                Contributors
                Journal
                JCI Insight
                JCI Insight
                JCI Insight
                JCI Insight
                American Society for Clinical Investigation
                2379-3708
                6 August 2024
                24 September 2024
                6 August 2024
                : 9
                : 18
                : e179292
                Affiliations
                [1 ]Department of Oncology, Sidney Kimmel Comprehensive Cancer Center;
                [2 ]Convergence Institute;
                [3 ]Department of Genetic Medicine;
                [4 ]Bloomberg-Kimmel Institute for Cancer Immunotherapy; and
                [5 ]Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
                [6 ]Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland, USA.
                Author notes
                Address correspondence to: Won Jin Ho, 1650 Orleans St., CRB1 4M, Baltimore, Maryland 21287, USA. Phone: 410.502.5279; Email: wjho@ 123456jhmi.edu .

                Authorship note: NEG and ZZ are co–first authors.

                Author information
                https://orcid.org/0000-0002-8936-207X
                https://orcid.org/0000-0002-5370-9692
                https://orcid.org/0000-0002-9148-9870
                https://orcid.org/0000-0001-5716-3917
                https://orcid.org/0000-0002-7304-9927
                https://orcid.org/0000-0002-2110-7697
                https://orcid.org/0000-0003-3841-6549
                https://orcid.org/0000-0003-3204-342X
                https://orcid.org/0000-0003-2644-5086
                Article
                179292
                10.1172/jci.insight.179292
                11457845
                39106104
                324704fa-2076-4a0e-805c-8bb7b51c6cbd
                © 2024 Gross et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 January 2024
                : 25 July 2024
                Funding
                Funded by: National Cancer Institute, https://doi.org/10.13039/100000054;
                Award ID: P01CA247886,R21CA264004,U01CA274371,F31CA268724
                Funded by: Lustgarten Foundation, https://doi.org/10.13039/100005979;
                Award ID: Lustgarten Foundation
                Funded by: National Institute of General Medical Sciences, https://doi.org/10.13039/100000057;
                Award ID: T32GM148383
                JM was funded in part from a grant from NIGMS (T32GM148383)
                Categories
                Research Article

                immunology,oncology,cancer immunotherapy,immunotherapy,phosphodiesterases

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