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      High Expression of the Costimulatory Checkpoint Factor DNAM-1 by CD4 + T-Cells from Multiple Myeloma Patients Refractory to Daratumumab-Containing Regimens

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          Abstract

          Multiple myeloma is an incurable disease characterized by unregulated growth of malignant plasma cells in the bone marrow (BM). Tumor-induced dysfunction of T-cells may be responsible for immune evasion and failure of immunotherapy. Therefore, a better understanding of the phenotype of T-cells at the tumor site is needed. We assessed the expression of immune regulatory receptors on T-cell subsets from peripheral blood (PB) and BM using multicolor flow cytometry. Paired PB and BM samples were collected from newly diagnosed, treatment-naïve myeloma patients ( n = 19) and patients progressing during treatment with the CD38 monoclonal antibody daratumumab alone or in combination with other anti-myeloma drugs ( n = 39). We observed that CD4 + T-cells from both PB and BM of patients relapsing on daratumumab have a higher expression of the costimulatory checkpoint receptor DNAM-1. The potential role of DNAM-1 +CD4 + T-cells in the development of resistance to daratumumab needs further exploration. We also observed that the inhibitory checkpoint receptor TIGIT is more frequently expressed by BM CD8 + T-cells from myeloma patients than PD-1 and CTLA-4, which supports the hypothesis that TIGIT may play a central role in the immune escape of the malignant plasma cells.

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          Most cited references33

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma.

              This International Myeloma Working Group consensus updates the disease definition of multiple myeloma to include validated biomarkers in addition to existing requirements of attributable CRAB features (hypercalcaemia, renal failure, anaemia, and bone lesions). These changes are based on the identification of biomarkers associated with near inevitable development of CRAB features in patients who would otherwise be regarded as having smouldering multiple myeloma. A delay in application of the label of multiple myeloma and postponement of therapy could be detrimental to these patients. In addition to this change, we clarify and update the underlying laboratory and radiographic variables that fulfil the criteria for the presence of myeloma-defining CRAB features, and the histological and monoclonal protein requirements for the disease diagnosis. Finally, we provide specific metrics that new biomarkers should meet for inclusion in the disease definition. The International Myeloma Working Group recommends the implementation of these criteria in routine practice and in future clinical trials, and recommends that future studies analyse any differences in outcome that might occur as a result of the new disease definition.
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                Author and article information

                Contributors
                katrine.fladeland.iversen@rsyd.dk
                line.nederby@rsyd.dk
                Thomas.lund2@rsyd.dk
                torben.plesner@rsyd.dk
                Journal
                Clin Hematol Int
                Clin Hematol Int
                Clinical Hematology International
                Springer Netherlands (Dordrecht )
                2590-0048
                9 August 2022
                9 August 2022
                September 2022
                : 4
                : 3
                : 107-116
                Affiliations
                [1 ]GRID grid.10825.3e, ISNI 0000 0001 0728 0170, Institute of Regional Health Science, , University of Southern Denmark, ; Beriderbakken 4, 7100 Vejle, Denmark
                [2 ]GRID grid.459623.f, ISNI 0000 0004 0587 0347, Section of Hematology, Department of Internal Medicine, Lillebaelt Hospital, , University Hospital of Southern Denmark, ; Beriderbakken 4, 7100 Vejle, Denmark
                [3 ]GRID grid.459623.f, ISNI 0000 0004 0587 0347, Department of Biochemistry and Immunology, Lillebaelt Hospital, , University Hospital of Southern Denmark, ; Beriderbakken 4, 7100 Vejle, Denmark
                [4 ]GRID grid.7143.1, ISNI 0000 0004 0512 5013, Department of Hematology, , Odense University Hospital, ; J.B. Winsløvs Vej 4, 5000 Odense C, Denmark
                Author information
                http://orcid.org/0000-0003-4494-9034
                Article
                13
                10.1007/s44228-022-00013-7
                9492812
                36131131
                654f6837-c682-43b7-bdf0-67d1896d84a6
                © The Author(s) 2022

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 February 2022
                : 4 June 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007420, Lægeforeningen;
                Award ID: 2019-3780/67
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006197, Fonden til Lægevidenskabens Fremme;
                Award ID: 19-L-0185
                Award Recipient :
                Funded by: Region of Southern Denmark
                Award ID: 2019 19/12124/A233
                Award Recipient :
                Funded by: Overlæge Jørgen Werner Schous og hustru, ELse-Marie Schou, født Wonges fond
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                multiple myeloma,bone marrow microenvironment,treatment,immunotherapy,daratumumab,checkpoint inhibitor

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