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      Deep Phenotyping Reveals Distinct Immune Signatures Correlating with Prognostication, Treatment Responses, and MRD Status in Multiple Myeloma

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          Abstract

          Simple Summary

          In Multiple Myeloma (MM) malignant cells accumulate in the bone marrow (BM), where they interact with various cell populations. These complex interactions impose mechanisms of tumor growth and proliferation, immune surveillance and immune evasion. The aim of the present study was a detailed immune characterization of MM during the course of the disease, in order to highlight signatures which are clinically relevant. Analyses of both BM and peripheral blood (PB) in matched patients’ samples, we showed that PB cannot representatively reflect the BM microenvironment. Particular immune signatures in BM and PB significantly correlated with established prognostic features and could independently associate with distinct responses to the same induction therapy. Moreover, our data provide evidence of a diverse immune profile according to patients’ MRD status post treatment. Finally, we provide insights that unique PB immune profiles may be used for the prediction of MRD status through a simple non-invasive approach.

          Abstract

          Despite recent advances, Multiple Myeloma (MM) remains an incurable disease with apparent heterogeneity that may explain patients’ variable clinical outcomes. While the phenotypic, (epi)genetic, and molecular characteristics of myeloma cells have been thoroughly examined, there is limited information regarding the role of the bone marrow (BM) microenvironment in the natural history of the disease. In the present study, we performed deep phenotyping of 32 distinct immune cell subsets in a cohort of 94 MM patients to reveal unique immune profiles in both BM and peripheral blood (PB) that characterize distinct prognostic groups, responses to induction treatment, and minimal residual disease (MRD) status. Our data show that PB cells do not reflect the BM microenvironment and that the two sites should be studied independently. Adverse ISS stage and high-risk cytogenetics were correlated with distinct immune profiles; most importantly, BM signatures comprised decreased tumor-associated macrophages (TAMs) and erythroblasts, whereas the unique Treg signatures in PB could discriminate those patients achieving complete remission after VRd induction therapy. Moreover, MRD negative status was correlated with a more experienced CD4- and CD8-mediated immunity phenotype in both BM and PB, thus highlighting a critical role of by-stander cells linked to MRD biology.

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          Most cited references54

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          ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap

          The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot. Although widely used, the method is lacking an easy-to-use web interface that scientists with little programming skills could use to make plots of their own data. The same applies to creating heatmaps: it is possible to add conditional formatting for Excel cells to show colored heatmaps, but for more advanced features such as clustering and experimental annotations, more sophisticated analysis tools have to be used. We present a web tool called ClustVis that aims to have an intuitive user interface. Users can upload data from a simple delimited text file that can be created in a spreadsheet program. It is possible to modify data processing methods and the final appearance of the PCA and heatmap plots by using drop-down menus, text boxes, sliders etc. Appropriate defaults are given to reduce the time needed by the user to specify input parameters. As an output, users can download PCA plot and heatmap in one of the preferred file formats. This web server is freely available at http://biit.cs.ut.ee/clustvis/.
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            Multiple myeloma

            Multiple myeloma is a malignancy of terminally differentiated plasma cells, and patients typically present with bone marrow infiltration of clonal plasma cells and monoclonal protein in the serum and/or urine. The diagnosis of multiple myeloma is made when clear end-organ damage attributable to the plasma cell proliferative disorder or when findings that suggest a high likelihood of their development are present. Distinguishing symptomatic multiple myeloma that requires treatment from the precursor stages of monoclonal gammopathy of undetermined significance and smouldering multiple myeloma is important, as observation is the standard for those conditions. Much progress has been made over the past decade in the understanding of disease biology and individualized treatment approaches. Several new classes of drugs, such as proteasome inhibitors and immunomodulatory drugs, have joined the traditional armamentarium (corticosteroids, alkylating agents and anthracyclines) and, along with high-dose therapy and autologous haemopoietic stem cell transplantation, have led to deeper and durable clinical responses. Indeed, an increasing proportion of patients are achieving lasting remissions, raising the possibility of cure for this disease. Success will probably depend on using combinations of effective agents and treating patients in the early stages of disease, such as patients with smouldering multiple myeloma.
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              Improved survival in multiple myeloma and the impact of novel therapies.

              Treatments for myeloma have expanded in the last decade, but it is not clear if the introduction of novel therapies and the increased use of high-dose therapy have translated into better outcome for patients with myeloma. We examined the outcome of 2 groups of patients seen at a single institution, one from time of diagnosis and the other from the time of relapse, to examine the survival trends over time. Among 387 patients relapsing after stem-cell transplantation, a clear improvement in overall survival from the time of relapse was seen, with those relapsing after 2000 having a median overall survival of 23.9 versus 11.8 months (P < .001) for those who relapsed prior to this date. This improvement was independent of other prognostic factors. Patients treated with one or more of the newer drugs (thalidomide, lenalidomide, bortezomib) had longer survival from relapse (30.9 vs 14.8 months; P < .001). In a larger group of 2981 patients with newly diagnosed myeloma, those diagnosed in the last decade had a 50% improvement in overall survival (44.8 vs 29.9 months; P < .001). In this study, we demonstrate improved outcome of patients with myeloma in recent years, both in the relapsed setting as well as at diagnosis.
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                Author and article information

                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                04 November 2020
                November 2020
                : 12
                : 11
                : 3245
                Affiliations
                [1 ]Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; kostpap@ 123456med.uoa.gr (K.P.); nicktsak@ 123456biol.uoa.gr (N.T.); pvitsos@ 123456biol.uoa.gr (P.V.); andreas.metousis@ 123456stud.ki.se (A.M.); norologas@ 123456med.uoa.gr (N.O.-S.); ppothos@ 123456biol.uoi.gr (P.P.)
                [2 ]Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; panosmalan@ 123456med.uoa.gr (P.M.); johnntanasis@ 123456med.uoa.gr (I.N.-S.); nkanellias@ 123456med.uoa.gr (N.K.); evelepapa@ 123456med.uoa.gr (E.E.-P.); desfotiou@ 123456med.uoa.gr (D.F.); mgavria@ 123456med.uoa.gr (M.G.); ekastritis@ 123456med.uoa.gr (E.K.); mdimop@ 123456med.uoa.gr (M.-A.D.); eterpos@ 123456med.uoa.gr (E.T.)
                Author notes
                [* ]Correspondence: rtsitsil@ 123456biol.uoa.gr (O.E.T.); ivkostop@ 123456biol.uoa.gr (I.V.K.); Tel.: +30-210-727-4215 (O.E.T.); +30-210-727-4929 (I.V.K.); Fax: +30-210-727-4635 (O.E.T. & I.V.K.)
                Author information
                https://orcid.org/0000-0002-1043-6591
                https://orcid.org/0000-0001-8191-5832
                https://orcid.org/0000-0001-8990-3254
                https://orcid.org/0000-0001-5133-1422
                https://orcid.org/0000-0001-6954-0740
                https://orcid.org/0000-0003-1152-6959
                Article
                cancers-12-03245
                10.3390/cancers12113245
                7692501
                33158030
                6fdee5da-ad56-47fc-adc7-1e5d6199a6c3
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 September 2020
                : 29 October 2020
                Categories
                Article

                multiple myeloma,bone marrow microenvironment,immune profiling,immune signatures,minimal residual disease

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