3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Allogeneic Vγ9Vδ2 T-cell immunotherapy exhibits promising clinical safety and prolongs the survival of patients with late-stage lung or liver cancer

      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

          Vγ9Vδ2 T cells are promising candidates for cellular tumor immunotherapy. Due to their HLA-independent mode of action, allogeneic Vγ9Vδ2 T cells can be considered for clinical application. To apply allogeneic Vγ9Vδ2 T cells in adoptive immunotherapy, the methodology used to obtain adequate cell numbers with optimal effector function in vitro needs to be optimized, and clinical safety and efficacy also need to be proven. Therefore, we developed a novel formula to improve the expansion of peripheral γδ T cells from healthy donors. Then, we used a humanized mouse model to validate the therapeutic efficacy of expanded γδ T cells in vivo; furthermore, the expanded γδ T cells were adoptively transferred into late-stage liver and lung cancer patients. We found that the expanded cells possessed significantly improved immune effector functions, including proliferation, differentiation, and cancer cell killing, both in vitro and in the humanized mouse model. Furthermore, a phase I clinical trial in 132 late-stage cancer patients with a total of 414 cell infusions unequivocally validated the clinical safety of allogeneic Vγ9Vδ2 T cells. Among these 132 patients, 8 liver cancer patients and 10 lung cancer patients who received ≥5 cell infusions showed greatly prolonged survival, which preliminarily verified the efficacy of allogeneic Vγ9Vδ2 T-cell therapy. Our clinical studies underscore the safety and efficacy of allogeneic Vγ9Vδ2 T-cell immunotherapy, which will inspire further clinical investigations and eventually benefit cancer patients.

          Related collections

          Most cited references61

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

          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Fundamental Mechanisms of Immune Checkpoint Blockade Therapy

            Immune checkpoint blockade is able to induce durable responses across multiple types of cancer, which has enabled the oncology community to begin to envision potentially curative therapeutic approaches. However, the remarkable responses to immunotherapies are currently limited to a minority of patients and indications, highlighting the need for more effective and novel approaches. Indeed, an extraordinary amount of preclinical and clinical investigation is exploring the therapeutic potential of negative and positive costimulatory molecules. Insights into the underlying biological mechanisms and functions of these molecules have, however, lagged significantly behind. Such understanding will be essential for the rational design of next-generation immunotherapies. Here, we review the current state of our understanding of T-cell costimulatory mechanisms and checkpoint blockade, primarily of CTLA4 and PD-1, and highlight conceptual gaps in knowledge.Significance: This review provides an overview of immune checkpoint blockade therapy from a basic biology and immunologic perspective for the cancer research community. Cancer Discov; 8(9); 1069-86. ©2018 AACR.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The prognostic landscape of genes and infiltrating immune cells across human cancers.

              Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of clinical outcomes. However, existing data sets are fragmented and difficult to analyze systematically. Here we present a pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies. By using this resource, we identified a forkhead box MI (FOXM1) regulatory network as a major predictor of adverse outcomes, and we found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes. By applying CIBERSORT, a computational approach for inferring leukocyte representation in bulk tumor transcriptomes, we identified complex associations between 22 distinct leukocyte subsets and cancer survival. For example, tumor-associated neutrophil and plasma cell signatures emerged as significant but opposite predictors of survival for diverse solid tumors, including breast and lung adenocarcinomas. This resource and associated analytical tools (http://precog.stanford.edu) may help delineate prognostic genes and leukocyte subsets within and across cancers, shed light on the impact of tumor heterogeneity on cancer outcomes, and facilitate the discovery of biomarkers and therapeutic targets.
                Bookmark

                Author and article information

                Contributors
                dietrich.kabelitz@uksh.de
                tyzwu@jnu.edu.cn
                zhinan.yin@yale.edu
                Journal
                Cell Mol Immunol
                Cell Mol Immunol
                Cellular and Molecular Immunology
                Nature Publishing Group UK (London )
                1672-7681
                2042-0226
                16 September 2020
                16 September 2020
                February 2021
                : 18
                : 2
                : 427-439
                Affiliations
                [1 ]GRID grid.258164.c, ISNI 0000 0004 1790 3548, The First Affiliated Hospital, Faculty of Medical Science, , Jinan University, ; Guangzhou, 510632 Guangdong PR China
                [2 ]GRID grid.452930.9, ISNI 0000 0004 1757 8087, Zhuhai Precision Medical Center, , Zhuhai People’s Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, ; Zhuhai, 519000 Guangdong PR China
                [3 ]GRID grid.258164.c, ISNI 0000 0004 1790 3548, The Biomedical Translational Research Institute, , Jinan University, ; Guangzhou, 510632 Guangdong PR China
                [4 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, , University of Hong Kong, ; Hong Kong, PR China
                [5 ]GRID grid.9764.c, ISNI 0000 0001 2153 9986, Institute of Immunology, , Christian-Albrechts-University Kiel, ; Kiel, Germany
                [6 ]GRID grid.258164.c, ISNI 0000 0004 1790 3548, Fuda Cancer Hospital, Faculty of Medical Science, , Jinan University, ; Guangzhou, 510665 Guangdong PR China
                [7 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Shanghai Chest Hospital, , Shanghai Jiao Tong University, ; Shanghai, PR China
                [8 ]GRID grid.33199.31, ISNI 0000 0004 0368 7223, Present Address: Tongji Chibi Hospital, Tongji Medical College, , Huazhong University of Science and Technology, ; Chibi, Hubei PR China
                Author information
                http://orcid.org/0000-0003-4600-3082
                http://orcid.org/0000-0002-7669-3806
                http://orcid.org/0000-0002-4160-7103
                Article
                515
                10.1038/s41423-020-0515-7
                8027668
                32939032
                44ff89ba-a6a3-4c02-8a5c-bb440268ae8b
                © CSI and USTC 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 April 2020
                : 14 July 2020
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to CSI and USTC 2021

                Immunology
                allogeneic γδ t cells,new expansion formula,cell therapy,liver cancer,lung cancer,humanized mice,translational immunology,cancer immunotherapy,immunotherapy

                Comments

                Comment on this article