0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Inhibition of myeloperoxidase enhances immune checkpoint therapy for melanoma

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The presence of a highly immunosuppressive tumor microenvironment has limited the success of immune checkpoint therapy (ICT). Immune suppressing myeloid cells with increased production of reactive oxygen species are critical drivers of this immunosuppressive tumor microenvironment. Strategies to limit these immune suppressing myeloid cells are needed to enhance response to ICT.

          Methods

          To evaluate the contribution of myeloperoxidase (MPO), a myeloid lineage-restricted enzyme and a major source of reactive oxygen species, to mediating ICT response, we compared treatment outcome and immune composition in wild-type, MPO-deficient ( MPO −/− ), and MPO inhibitor-treated wild-type mice using established primary melanoma models.

          Results

          Tumor growth and survival studies demonstrated that either host deficiency ( MPO −/− ) or pharmacological inhibition of MPO enhanced ICT response in two preclinical models of established primary melanoma in aged animals. The tumor microenvironment and systemic immune landscape underwent striking changes in infiltration of myeloid cells, T cells, B cells, and dendritic cells in MPO −/− mice; furthermore, a significant increase in myeloid cells was observed in ICT non-responders. The contribution of CD4 + T cells and NK cells during ICT response also changed in MPO −/− mice. Interestingly, MPO enzymatic activity, but not protein, was increased in CD11b +Ly6G + myeloid cells isolated from marrow, spleen, and peritoneal cavities of mice bearing untreated melanoma, indicating systemic activation of innate immunity. Notably, repurposing MPO-specific inhibitors (verdiperstat, AZD5904) in combination with ICT pointedly enhanced response rates above ICT alone. Indeed, long-term survival was 100% in the YUMM3.3 melanoma model on treatment with verdiperstat plus ICT.

          Conclusion

          MPO contributes to ICT resistance in established melanoma. Repurposing MPO-specific inhibitors may provide a promising therapeutic strategy to enhance ICT response.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cancer Statistics, 2021

              Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2017) 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 2018) were collected by the National Center for Health Statistics. In 2021, 1,898,160 new cancer cases and 608,570 cancer deaths are projected to occur in the United States. After increasing for most of the 20th century, the cancer death rate has fallen continuously from its peak in 1991 through 2018, for a total decline of 31%, because of reductions in smoking and improvements in early detection and treatment. This translates to 3.2 million fewer cancer deaths than would have occurred if peak rates had persisted. Long-term declines in mortality for the 4 leading cancers have halted for prostate cancer and slowed for breast and colorectal cancers, but accelerated for lung cancer, which accounted for almost one-half of the total mortality decline from 2014 to 2018. The pace of the annual decline in lung cancer mortality doubled from 3.1% during 2009 through 2013 to 5.5% during 2014 through 2018 in men, from 1.8% to 4.4% in women, and from 2.4% to 5% overall. This trend coincides with steady declines in incidence (2.2%-2.3%) but rapid gains in survival specifically for nonsmall cell lung cancer (NSCLC). For example, NSCLC 2-year relative survival increased from 34% for persons diagnosed during 2009 through 2010 to 42% during 2015 through 2016, including absolute increases of 5% to 6% for every stage of diagnosis; survival for small cell lung cancer remained at 14% to 15%. Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.
                Bookmark

                Author and article information

                Journal
                J Immunother Cancer
                J Immunother Cancer
                jitc
                jitc
                Journal for Immunotherapy of Cancer
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2051-1426
                2023
                17 February 2023
                : 11
                : 2
                : e005837
                Affiliations
                [1 ]departmentDepartment of Cancer Systems Imaging , The University of Texas MD Anderson Cancer Center , Houston, Texas, USA
                [2 ]departmentDepartment of Microbiology, Immunology, and Cell Biology , West Virginia University , Morgantown, West Virginia, USA
                [3 ]departmentDepartment of Bioinformatics and Computational Biology , University of Texas MD Anderson Cancer Center , Houston, Texas, USA
                Author notes
                [Correspondence to ] Dr David Piwnica-Worms; dpiwnica-worms@ 123456mdanderson.org
                Author information
                http://orcid.org/0000-0003-0671-8390
                http://orcid.org/0000-0001-8647-0975
                http://orcid.org/0000-0002-2120-7217
                Article
                jitc-2022-005837
                10.1136/jitc-2022-005837
                9944647
                36805920
                8871a3ab-7d61-46da-b00d-d9d473cc9e32
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 12 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: 5P20GM121322
                Funded by: FundRef http://dx.doi.org/10.13039/100000005, U.S. Department of Defense;
                Award ID: W81XWH-10-1-0203
                Funded by: FundRef http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: P50 CA94056
                Categories
                Basic Tumor Immunology
                1506
                2434
                Original research
                Custom metadata
                unlocked

                immunity, innate,immunotherapy,melanoma
                immunity, innate, immunotherapy, melanoma

                Comments

                Comment on this article