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

      Interleukin‐4 induced 1‐mediated resistance to an immune checkpoint inhibitor through suppression of CD8 + T cell infiltration in 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

          Cancer cells adopt multiple strategies to escape tumor surveillance by the host immune system and aberrant amino acid metabolism in the tumor microenvironment suppresses the immune system. Among the amino acid‐metabolizing enzymes is an L‐amino‐acid oxidase called interleukin‐4 induced 1 (IL4I1), which depletes essential amino acids in immune cells and is associated with a poor prognosis in various cancer types. Although IL4I1 is involved in immune metabolism abnormalities, its effect on the therapeutic efficacy of immune checkpoint inhibitors is unknown. In this study, we established murine melanoma cells overexpressing IL4I1 and investigated their effects on the intratumor immune microenvironment and the antitumor efficacy of anti‐programmed death‐ligand 1 (PD‐L1) antibodies (Abs) in a syngeneic mouse model. As a result, we found that IL4I1‐overexpressing B16‐F10‐derived tumors showed resistance to anti‐PD‐L1 Ab therapy. Transcriptome analysis revealed that immunosuppressive genes were globally upregulated in the IL4I1‐overexpressing tumors. Consistently, we showed that IL4I1‐overexpressing tumors exhibited an altered subset of lymphoid cells and particularly significant suppression of cytotoxic T cell infiltration compared to mock‐infected B16‐F10‐derived tumors. After treatment with anti‐PD‐L1 Abs, we also found a more prominent elevation of tumor‐associated macrophage (TAM) marker, CD68, in the IL4I1‐overexpressing tumors than in the mock tumors. Consistently, we confirmed an enhanced TAM infiltration in the IL4I1‐overexpressing tumors and a functional involvement of TAMs in the tumor growth. These observations indicate that IL4I1 reprograms the tumor microenvironment into an immunosuppressive state and thereby confers resistance to anti‐PD‐L1 Abs.

          Abstract

          Interleukin‐4 induced 1 overexpression upregulates immunosuppressive gene expression, decreases CD8 + T cell infiltration, and causes resistance to the anti‐ programmed death‐ligand‐1 Ab therapy in a mouse melanoma model.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

          A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab

            The mechanisms by which immune checkpoint blockade modulates tumor evolution during therapy are unclear. We assessed genomic changes in tumors from 68 patients with advanced melanoma, who progressed on ipilimumab or were ipilimumab-naive, before and after nivolumab initiation (CA209-038 study). Tumors were analyzed by whole-exome, transcriptome, and/or T-cell receptor (TCR) sequencing. In responding patients, mutation and neoantigen load were reduced from baseline, and analysis of intratumoral heterogeneity during therapy demonstrated differential clonal evolution within tumors and putative selection against neoantigenic mutations on-therapy. Transcriptome analyses before and during nivolumab therapy revealed increases in distinct immune cell subsets, activation of specific transcriptional networks, and upregulation of immune checkpoint genes that were more pronounced in patients with response. Temporal changes in intratumoral TCR repertoire revealed expansion of T-cell clones in the setting of neoantigen loss. Comprehensive genomic profiling data in this study provide insight into nivolumab mechanism of action. Mutation burden decreases with successful checkpoint blockade therapy in patients with melanoma, suggesting that selection against protective mutant neoepitopes may be a critical mechanism of action of Nivolumab
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              STRING: a database of predicted functional associations between proteins.

              Functional links between proteins can often be inferred from genomic associations between the genes that encode them: groups of genes that are required for the same function tend to show similar species coverage, are often located in close proximity on the genome (in prokaryotes), and tend to be involved in gene-fusion events. The database STRING is a precomputed global resource for the exploration and analysis of these associations. Since the three types of evidence differ conceptually, and the number of predicted interactions is very large, it is essential to be able to assess and compare the significance of individual predictions. Thus, STRING contains a unique scoring-framework based on benchmarks of the different types of associations against a common reference set, integrated in a single confidence score per prediction. The graphical representation of the network of inferred, weighted protein interactions provides a high-level view of functional linkage, facilitating the analysis of modularity in biological processes. STRING is updated continuously, and currently contains 261 033 orthologs in 89 fully sequenced genomes. The database predicts functional interactions at an expected level of accuracy of at least 80% for more than half of the genes; it is online at http://www.bork.embl-heidelberg.de/STRING/.
                Bookmark

                Author and article information

                Contributors
                hseimiya@jfcr.or.jp
                Journal
                Cancer Sci
                Cancer Sci
                10.1111/(ISSN)1349-7006
                CAS
                Cancer Science
                John Wiley and Sons Inc. (Hoboken )
                1347-9032
                1349-7006
                22 January 2024
                March 2024
                : 115
                : 3 ( doiID: 10.1111/cas.v115.3 )
                : 791-803
                Affiliations
                [ 1 ] Division of Molecular Biotherapy, Cancer Chemotherapy Center Japanese Foundation for Cancer Research Tokyo Japan
                [ 2 ] Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences University of Tokyo Tokyo Japan
                [ 3 ] Division of Cancer Immunotherapy Development, Department of Advanced Medical Development The Cancer Institute Hospital of JFCR Tokyo Japan
                [ 4 ] Division of Neuropathology and Neuroscience, Graduate School of Pharmaceutical Sciences University of Tokyo Tokyo Japan
                [ 5 ] Vermilion Therapeutics Inc. Tokyo Japan
                [ 6 ] Division of Cancer Cell Biology Institute of Medical Science, University of Tokyo Tokyo Japan
                Author notes
                [*] [* ] Correspondence

                Hiroyuki Seimiya, Division of Molecular Biotherapy, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research, 3‐8‐31 Ariake, Koto‐ku, Tokyo 135‐8550, Japan.

                Email: hseimiya@ 123456jfcr.or.jp

                Author information
                https://orcid.org/0000-0002-4041-8298
                https://orcid.org/0000-0003-3314-9736
                Article
                CAS16073 CAS-OA-1941-2023.R2
                10.1111/cas.16073
                10921010
                38258342
                7ece29b0-1922-4bc3-9791-cb0456274af7
                © 2024 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 29 December 2023
                : 18 August 2023
                : 04 January 2024
                Page count
                Figures: 7, Tables: 0, Pages: 13, Words: 6553
                Funding
                Funded by: Takeda Science Foundation , doi 10.13039/100007449;
                Funded by: Nippon Foundation , doi 10.13039/501100007412;
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:08.03.2024

                Oncology & Radiotherapy
                il4i1,immune checkpoint inhibitor,immune escape,melanoma,tumor microenvironment

                Comments

                Comment on this article