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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2021.763773</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Bone Marrow-Resident V&#x003B4;1 T Cells Co-express TIGIT With PD-1, TIM-3 or CD39 in AML and Myeloma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Brauneck</surname> <given-names>Franziska</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1377223/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Weimer</surname> <given-names>Pauline</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1476703/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Schulze zur Wiesch</surname> <given-names>Julian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Weisel</surname> <given-names>Katja</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Leypoldt</surname> <given-names>Lisa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Vohwinkel</surname> <given-names>Gabi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fritzsche</surname> <given-names>Britta</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bokemeyer</surname> <given-names>Carsten</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wellbrock</surname> <given-names>Jasmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Fiedler</surname> <given-names>Walter</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Oncology, Hematology and Bone Marrow Transplantation With Section Pneumology, Hubertus Wald University Cancer Center, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><sup>2</sup><institution>Infectious Diseases Unit, I. Department of Medicine, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><sup>3</sup><institution>University Cancer Center Hamburg (UCCH)-Biobank, Department of Oncology, Hematology and Bone Marrow Transplantation With Section Pneumology, Hubertus Wald University Cancer Center, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bernhard F. Gibbs, University of Oldenburg, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Daria M. Potashnikova, Lomonosov Moscow State University, Russia; Michael Danilenko, Ben-Gurion University of the Negev, Israel</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Walter Fiedler <email>fiedler&#x00040;uke.de</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Pathology, a section of the journal Frontiers in Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>763773</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Brauneck, Weimer, Schulze zur Wiesch, Weisel, Leypoldt, Vohwinkel, Fritzsche, Bokemeyer, Wellbrock and Fiedler.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Brauneck, Weimer, Schulze zur Wiesch, Weisel, Leypoldt, Vohwinkel, Fritzsche, Bokemeyer, Wellbrock and Fiedler</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Background:</bold> &#x003B3;&#x003B4; T cells represent a unique T cell subpopulation due to their ability to recognize cancer cells in a T cell receptor- (TCR) dependent manner, but also in a non-major histocompatibility complex- (MHC) restricted way via natural killer receptors (NKRs). Endowed with these features, they represent attractive effectors for immuno-therapeutic strategies with a better safety profile and a more favorable anti-tumor efficacy in comparison to conventional &#x003B1;&#x003B2; T cells. Also, remarkable progress has been achieved re-activating exhausted T lymphocytes with inhibitors of co-regulatory receptors e.g., programmed cell death protein 1 (PD-1), T cell immunoreceptor with Ig and ITIM domains (TIGIT) and of the adenosine pathway (CD39, CD73). Regarding &#x003B3;&#x003B4; T cells, little evidence is available. This study aimed to immunophenotypically characterize &#x003B3;&#x003B4; T cells from patients with diagnosed acute myeloid leukemia (AML) in comparison to patients with multiple myeloma (MM) and healthy donors (HD).</p>
<p><bold>Methods:</bold> The frequency, differentiation, activation, and exhaustion status of bone marrow- (BM) derived &#x003B3;&#x003B4; T cells from patients with AML (<italic>n</italic> = 10) and MM (<italic>n</italic> = 11) were assessed in comparison to corresponding CD4<sup>&#x0002B;</sup> and CD8<sup>&#x0002B;</sup> T cells and peripheral blood- (PB) derived &#x003B3;&#x003B4; T cells from HDs (<italic>n</italic> = 16) using multiparameter flow cytometry.</p>
<p><bold>Results:</bold> BM-infiltrating V&#x003B4;1 T cells showed an increased terminally differentiated cell population (TEMRAs) in AML and MM in comparison to HDs with an aberrant subpopulation of CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> cells. TIGIT, PD-1, TIM-3, and CD39 were more frequently expressed by &#x003B3;&#x003B4; T cells in comparison to the corresponding CD4<sup>&#x0002B;</sup> T cell population, with expression levels that were similar to that on CD8<sup>&#x0002B;</sup> effector cells in both hematologic malignancies. In comparison to V&#x003B4;2 T cells, the increased frequency of PD-1<sup>&#x0002B;</sup>-, TIGIT<sup>&#x0002B;</sup>-, TIM-3<sup>&#x0002B;</sup>, and CD39<sup>&#x0002B;</sup> cells was specifically observed on V&#x003B4;1 T cells and related to the TEMRA V&#x003B4;1 population with a significant co-expression of PD-1 and TIM-3 together with TIGIT.</p>
<p><bold>Conclusion:</bold> Our results revealed that BM-resident &#x003B3;&#x003B4; T cells in AML and MM express TIGIT, PD-1, TIM-3 and CD39. As effector population for autologous and allogeneic strategies, inhibition of co-inhibitory receptors on especially V&#x003B4;1 &#x003B3;&#x003B4; T cells may lead to re-invigoration that could further increase their cytotoxic potential.</p></abstract>
<kwd-group>
<kwd>(V&#x003B4;1) &#x003B3;&#x003B4; T cells</kwd>
<kwd>TIGIT</kwd>
<kwd>PD-1</kwd>
<kwd>CD39</kwd>
<kwd>AML</kwd>
<kwd>myeloma</kwd>
</kwd-group>
<contract-sponsor id="cn001">Erich und Gertrud Roggenbuck-Stiftung<named-content content-type="fundref-id">10.13039/100010124</named-content></contract-sponsor>
<contract-sponsor id="cn002">Dr. Mildred Scheel Stiftung f�r Krebsforschung<named-content content-type="fundref-id">10.13039/501100005973</named-content></contract-sponsor>
<contract-sponsor id="cn003">Deutsche Forschungsgemeinschaft<named-content content-type="fundref-id">10.13039/501100001659</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="69"/>
<page-count count="13"/>
<word-count count="9527"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Although &#x003B3;&#x003B4; T cells represent a relatively small subset within all T lymphocytes (1&#x02013;5%) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>), they have a unique property to recognize cancer cells in a T cell receptor- (TCR) dependent manner but also in a non- major histocompatibility complex- (MHC) restricted way via their expression of natural killer cell receptors (NKRs) (<xref ref-type="bibr" rid="B3">3</xref>). In immuno-oncology, &#x003B3;&#x003B4; T cells represent a novel attractive effector population for immuno-therapeutic strategies such as chimeric antigen receptor T cells (CAR-T cells) or bispecific T cell engagers (BiTEs).</p>
<p>In humans, &#x003B3;&#x003B4; T cells can be differentiated into two major subsets by their expression of the V&#x003B4; chain. V&#x003B4;2 cells constitute the major circulating &#x003B3;&#x003B4; T cell population in the peripheral blood (PB) whereas the V&#x003B4;1 subpopulation is enriched in the peripheral tissue (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Both &#x003B3;&#x003B4; subpopulations exhibit cytotoxic capacities mediated by TCR- and natural killer group 2D (NKG2D) receptor signaling via production of the effector cytokines interferon (IFN)-&#x003B3;, tumor necrosis factor (TNF)-&#x003B1; and soluble mediators such as perforin or granzymes (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B7">7</xref>). Moreover, &#x003B3;&#x003B4; T cells can induce dendritic cell (DC) maturation via secretion of TNF-&#x003B1; (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). They also have an antigen-presenting capacity by MHC-II loading and expression (<xref ref-type="bibr" rid="B10">10</xref>). Recent data also demonstrate a phagocytic potential of &#x003B3;&#x003B4; T cells through expression of the scavenger receptor CD36 which is dependent on the transcription factor CCAAT-enhancer-binding protein &#x003B1; (C/EBP&#x003B1;) (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>In oncology, both the V&#x003B4;1 and V&#x003B4;2 T cells have been described to exert pleiotropic effector functions: as mentioned above the tumor-infiltrating IFN&#x003B3;-producing &#x003B3;&#x003B4; T cell fraction has shown cytotoxic effects in solid and hematological malignancies (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>), whereas interleukin (IL)-17- and galectin 1-secreting &#x003B3;&#x003B4; T cells promote tumor growth and the recruitment of immunosuppressive myeloid cells (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). By analyzing molecular profiles of expression signatures of 18.000 tumors from 39 different malignancies, including AML and MM with overall survival data, Gentles et al. identified tumor-infiltrating &#x003B3;&#x003B4; T cells as the leukocyte subset with the most significant favorable cancer-wide prognostic relevance (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>First clinical observations of patients with refractory/relapsed AML transplanted with haploidentical &#x003B3;&#x003B4; T cells showed that &#x003B3;&#x003B4; T cells can induce clinical anti-tumor effects (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Furthermore, preclinical data provide support for this contention: AML cells were efficiently killed by V&#x003B4;2 T cells <italic>in vitro</italic> (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In an AML xenograft model, V&#x003B4;2 T cells traffic to the BM and have been shown to slow the progression of the disease (<xref ref-type="bibr" rid="B6">6</xref>). Also, in MM it has been recently published that impairment of V&#x003B4;2 T cell functions (including decreased proliferation and cytotoxicity) was already detectable in monoclonal gammopathy of undetermined significance (MGUS) (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Compared to V&#x003B4;2 T cells, V&#x003B4;1 T cells account for a small proportion of &#x003B3;&#x003B4; T cells (<xref ref-type="bibr" rid="B1">1</xref>). Although most of the studies investigating the antitumoral effects of &#x003B3;&#x003B4; T cells focus on V&#x003B4;2 T cells, it is becoming increasingly evident that V&#x003B4;1 T cells play a critical role in the anti-tumor functionality (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Enhanced reconstitution of &#x003B3;&#x003B4; T cells following allogeneic hematopoietic stem cell transplantation (aHSCT) was associated with improved survival in patients with AML (<xref ref-type="bibr" rid="B23">23</xref>). Cordova et al. demonstrated that V&#x003B4;1 tumor-infiltrating lymphocyte- (TIL-) derived cells outperformed V&#x003B4;2 TILs in <italic>in vitro</italic> tumor cytotoxicity assays in malignant melanoma (<xref ref-type="bibr" rid="B24">24</xref>). In AML, increased levels of cytomegalovirus- (CMV) specific V&#x003B4;1 cells were associated with a reduced relapse probability. <italic>In vitro</italic>, these V&#x003B4;1 cells demonstrated increased cytotoxicity against AML cells, which could be further enhanced following CMV reactivation (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Additionally, Knight et al. showed a significant cytotoxicity of V&#x003B4;1 T cells for MM by lysis against patients&#x00027; CD38<sup>&#x0002B;</sup>CD138<sup>&#x0002B;</sup> BM-derived plasma cells <italic>in vitro</italic> (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>First phenotypic analyses of BM-derived V&#x003B4;2 T cells from AML patients showed an increased subpopulation with a memory phenotype that was associated with a reduced capacity for expansion and cytotoxicity (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>This study is focused on programmed cell death protein-1 (PD-1), the novel receptor T cell Ig and ITIM domain (TIGIT), the T cell immunoglobulin and mucin domain-containing protein 3 (TIM-3) and the ectonucleotidases ectonucleoside triphosphate diphosphohydrolase-1 (CD39) and ecto-5&#x00027;-nucleotidase (CD73). All of these checkpoints are involved in &#x003B1;&#x003B2; T lymphocyte dysfunction in cancer (<xref ref-type="bibr" rid="B27">27</xref>&#x02013;<xref ref-type="bibr" rid="B29">29</xref>). TIGIT, PD-1 and TIM-3 are co-inhibitory receptors highly expressed by exhausted T cells in chronic infections and cancer (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Inhibition of these receptors have shown increased proliferation and cytotoxic efficiency <italic>in vitro</italic> (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>&#x02013;<xref ref-type="bibr" rid="B32">32</xref>). Recently, inhibition of the adenosine-generating enzymes CD39 and CD73 showed anti-tumor immunity through multiple mechanisms, including enhancement of T cell and natural killer- (NK) cell function (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). It is well-acknowledged that multiple co-expression of inhibitory receptors and suppression of inflammatory cues by CD39 enzymatic overactivity are highly associated with the severity of T cell dysfunction (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), thus representing an important feature of T cell exhaustion (<xref ref-type="bibr" rid="B37">37</xref>). Regarding the (co)-expression of these checkpoints on &#x003B3;&#x003B4; T cells, little is known. Jin et al. showed for the first time that TIGIT is also expressed by regulatory Forkhead-Box-Protein P3 (FOXP3)<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in AML (<xref ref-type="bibr" rid="B38">38</xref>). Moreover, it has been presented that tumor-infiltrating &#x003B3;&#x003B4; T cells express the ectonucleotidases CD39 and CD73 and may be dysfunctional via the activation of adenosine-mediated pathways (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Since circulating &#x003B3;&#x003B4; T cells in the peripheral blood have been more elucidated, the present study provides an extensive immunophenotypic characterization of &#x003B3;&#x003B4; T cells derived from the bone marrow of patients with untreated newly diagnosed acute myeloid leukemia or multiple myeloma. We focus on the comparison of the V&#x003B4;1- and V&#x003B4;2-cell phenotypes, including differentiation and expression of immune checkpoints and metabolic molecules that may dampen antitumor immunity in patients with acute myeloid leukemia in comparison to patients with myeloma and healthy volunteers.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Patient Cohorts</title>
<p>Bone marrow-derived aspirates were collected from patients with newly diagnosed non-M3 AML (<italic>n</italic> = 10) and patients with multiple myeloma (<italic>n</italic> = 11) before the start of intensive chemotherapy treatment, and peripheral blood specimens from age-matched healthy donors (HD, <italic>n</italic> = 16) after written informed consent in accordance with the Declaration of Helsinki and approval by the local ethics board of the &#x000C4;rztekammer Hamburg (PV3469 and PV5119). The median age of the AML patient cohort was 70 years (range 43&#x02013;86), the median age of the MM patient cohort 61.5 years (range 55&#x02013;86), and the median age of the healthy donors was 60 years (range 27&#x02013;71) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p></sec>
<sec>
<title>Multiparameter Flow Cytometry</title>
<p>For multiparametric flow cytometry analysis (MFC), cryopreserved BM mononuclear cells from patients with CD117<sup>&#x0002B;</sup>CD33<sup>&#x0002B;</sup> AML, from patients with CD38<sup>&#x0002B;</sup>CD138<sup>&#x0002B;</sup> MM and peripheral blood (PB) mononuclear cells from HDs were thawed and counted. After washing with PBS and FCR blocking (FcR blocking reagent, human, Miltenyi Biotec), mononuclear cells were stained with the LIVE/DEAD&#x02122; Fixable Near-IR dye (Thermo Fisher) according to the manufacturer&#x00027;s protocol for exclusion of dead cells. Afterwards, cells were washed and incubated for surface staining with appropriate fluorochrome-conjugated antibodies, including anti-CD3 (OKT3), anti-CD4 (RPA-T4), anti-CD8 (RPA-T8), anti-CD33 (P67.6), anti-CD117 (104D2), anti-CD38 (HIT2), anti-CD138 (MI15), anti-&#x003B3;&#x003B4; TCR (B1), anti-V&#x003B4;1 TCR (REA173), anti-V&#x003B4;2 TCR (REA771), anti-CD45RA (HI100), anti-CD27 (O323), anti-CD19 (HIB19), anti-CD56 (HCD56), anti-PD-1 (EH12.2H7), anti-TIGIT (A15153G), anti-TIM-3 (F38-2E2), anti-CD39 (A1), anti-CD73 (AD2), and anti-HLA-DR (L243) for 20 min at room temperature in the dark. Subsequently, samples were fixed with 0.5% paraformaldehyde (Sigma Aldrich) and incubated for 15 min at 4&#x000B0;C in the dark. Antibodies were obtained from Biolegend, BD Biosciences or Miltenyi Biotec. Compensation controls were measured using single-stained Comp Beads (Anti-Mouse Ig,&#x003BA;/Negative Control Compensation Particles Set, BD Biosciences). For live/dead compensation, Comp Beads stained with anti-CD19 (APC Cy-7, BioLegend) were applied. All samples were run on a BD FACSymphony A3 with FACS Diva version 8 (BD Biosciences).</p></sec>
<sec>
<title>T-Distributed Stochastic Neighbor Embedding Analyses</title>
<p>Individual donor FCS files were imported into FlowJo version 10.5.2. A subset of 3,000 cells were selected for each donor at random and merged into a single expression matrix prior to tSNE analysis. The following channels were removed from the expression matrix to only include protein markers in tSNE analysis: viability, CD19, CD56, AML lineage markers (CD33, CD117), MM lineage markers (CD38, CD138), offset, residual, and time. A total of 12,000 cells and 14 markers were used to create a tSNE map of the PB- and BM- derived &#x003B3;&#x003B4; T cells from HDs and patients with AML and MM. A perplexity parameter of 30 and iteration number of 550 was used for applying the dimensionality reduction algorithm. The output was in the form of a matrix with two columns corresponding to tSNE dimension 1 and dimension 2. tSNE maps were generated by plotting each event by its tSNE dimensions in a dot-plot. Intensities for markers of interest were overlaid on the dot-plot to show the expression of those markers on different cell islands.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>All flow cytometric data were analyzed using FlowJo version 10.5.2. software (Treestar). Statistical analysis was carried out using Prism 7.0 software (GraphPad Software). Groups were tested for normal distribution with the Kolmogorov-Smirnov test. Non-normally distributed data were analyzed by the Mann-Whitney test for two unpaired groups, the Wilcoxon test for two paired groups, respectively. Pearson&#x00027;s correlation and Spearman&#x00027;s rank correlation coefficient were applied for bivariate correlation analysis. Frequencies in the text are described as medians unless stated otherwise (as indicated in the figure legend). <italic>P</italic>-values below 0.05 were considered significant, where <sup>&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;&#x0002A;&#x0002A;</sup> indicate <italic>p</italic>-values between 0.01&#x02013;0.05, 0.001&#x02013;0.01 and 0.0001&#x02013;0.001, respectively.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>BM-Derived V&#x003B4;1 T Cells of AML and MM Patients Show a Shift Toward Effector Memory- and Terminally Differentiated Memory Cells</title>
<p>&#x003B3;&#x003B4; T cells were analyzed in the BM from patients with AML (<italic>n</italic> = 10) and MM (<italic>n</italic> = 11) in comparison to the PB from age-matched HDs (<italic>n</italic> = 16). For gating strategy see <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>. The study included aspirates of patients with typical phenotypes namely CD33<sup>&#x0002B;</sup>CD117<sup>&#x0002B;</sup> for AML and CD38<sup>&#x0002B;</sup>CD138<sup>&#x0002B;</sup> for MM aspirates. This selection of patients enabled us to differentiate tumor cells from further immune cell populations in the BM. Our studies revealed a significantly increased frequency of &#x003B3;&#x003B4; T cells in AML in comparison to HD. In contrast, this was not observed for MM (AML vs. HD <italic>p</italic> = 0.014; MM vs. HD <italic>p</italic> = 0.707, MM vs. AML <italic>p</italic> = 0.085; <xref ref-type="fig" rid="F1">Figures 1A,B</xref>), implying differences in the immune response between both entities. Additional characterization of the &#x003B3;&#x003B4; T cells was performed to investigate the immunophenotype of these cells in more detail. As illustrated in the t-distributed stochastic neighbor embedding (tSNE) analysis (<xref ref-type="fig" rid="F1">Figure 1C</xref>), the distribution of V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells differed between HD, AML and MM: V&#x003B4;2 T cells were more prevalent in the PB in HDs compared to the BM compartment in AML and MM (<xref ref-type="fig" rid="F1">Figure 1D</xref>). The fraction of BM-infiltrating V&#x003B4;1 T cells was significantly increased in MM patients relative to HDs (<italic>p</italic> = 0.035; <xref ref-type="fig" rid="F1">Figure 1D</xref>), but not in patients with AML (<italic>p</italic> = 0.220; <xref ref-type="fig" rid="F1">Figure 1D</xref>). Due to a shift of &#x003B3;&#x003B4; subpopulations in the BM in AML and MM patients compared to HDs, decreased levels of V&#x003B4;2 T cells were correlated with increased frequencies of V&#x003B4;1 T cells in BM of both malignancies (AML <italic>r</italic> = &#x02212;0.96, <italic>p</italic> &#x0003C; 0.0001 and MM <italic>r</italic> = &#x02212;0.98, <italic>p</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F1">Figure 1E</xref>), indicating homing of V&#x003B4;1 T cells into the site of tumor development. To validate that these observations are not site-associated but malignancy-associated, we compared mononuclear cells derived from paired PB and BM aspirates of 9 AML patients. Our analyses revealed no differences regarding the total fraction of &#x003B3;&#x003B4; T cells and the distribution of V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells between paired PB and BM (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2A</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The increased frequency of V&#x003B4;1 &#x003B3;&#x003B4; T cells is associated with reduced infiltration of V&#x003B4;2 &#x003B3;&#x003B4; T cells in AML and MM. Flow cytometric analysis of the co-expression of the &#x003B3;&#x003B4; TCR and the V&#x003B4;1 and V&#x003B4;2 receptor on CD3<sup>&#x0002B;</sup> T cells was performed for bone marrow (BM) samples from patients with AML (AML, black rectangles, <italic>n</italic> = 10), MM patients (MM, black triangles, <italic>n</italic> = 11), and peripheral blood (PB)-derived mononuclear cells from healthy donors (HD, white circles, <italic>n</italic> = 16). <bold>(A)</bold> Representative flow cytometry data show &#x003B3;&#x003B4; T cells, V&#x003B4;1, and V&#x003B4;2 &#x003B3;&#x003B4; T cells. <bold>(B)</bold> Summary data illustrate the frequency of &#x003B3;&#x003B4; T cells in HD, AML, and MM. <italic>P</italic>-values were obtained by the Mann-Whitney test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001. <bold>(C)</bold> t-distributed stochastic neighbor embedding (tSNE) analysis delineate the distribution of V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells within the total &#x003B3;&#x003B4; T cells in BM aspirates from four HDs (left graphs), four patients with MM (middle graphs), and four patients with AML (right graphs). <bold>(D)</bold> Summary data show the frequency of V&#x003B4;1 and V&#x003B4;2 T cell subpopulations. <italic>P</italic>-values were obtained by the Mann-Whitney test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001. <bold>(E)</bold> Correlative analysis of the expression of the V&#x003B4;1 and V&#x003B4;2 receptors was performed for BM-derived aspirates of the MM and AML patients. Pearson&#x00027;s test was used to test for correlations.</p></caption>
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<p>Next, &#x003B3;&#x003B4; T cells were subdivided into the following subpopulations regarding their differentiation status based on the expression of CD27 and CD45RA: Na&#x000EF;ve (NA = CD27<sup>&#x0002B;</sup>CD45RA<sup>&#x0002B;</sup>), Central Memory (CM = CD27<sup>&#x0002B;</sup>CD45RA<sup>&#x02212;</sup>), Effector Memory (EM = CD27<sup>&#x02212;</sup>CD45RA<sup>&#x02212;</sup>), Terminally Differentiated Memory Cells (TEMRA = CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;</sup>), and a subset of TEMRA cells characterized by CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> expression (for gating strategy see <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>).</p>
<p>As in the previous analyses V&#x003B4;1 cells have been identified as the predominant &#x003B3;&#x003B4; population in the BM of AML and MM patients, further tSNE analyses showed a prevailing expression of CD45RA in AML and MM mainly in the V&#x003B4;1 T cell population (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Further summary analyses revealed an increased frequency of V&#x003B4;1 T cells within the EM- and TEMRA compartment in AML and MM in comparison to HDs (HD vs. AML <italic>p</italic> = 0.084 and <italic>p</italic> = 0.061; HD vs. MM <italic>p</italic> = 0.026 and <italic>p</italic> = 0.049; <xref ref-type="fig" rid="F2">Figures 2B,C</xref>). This shift of V&#x003B4;1 T cells was not observed for the total &#x003B3;&#x003B4; T cell population (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>, upper panel) and also not within the V&#x003B4;2 subpopulation (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>, lower panel). Moreover, the CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> population which has been described as a dysfunctional subpopulation with limited proliferation capacity (<xref ref-type="bibr" rid="B41">41</xref>) was significantly increased within the BM-derived V&#x003B4;1 T cells in AML and MM in comparison to HDs (HD vs. AML <italic>p</italic> = 0.036; HD vs. MM <italic>p</italic> = 0.026, respectively, <xref ref-type="fig" rid="F2">Figure 2D</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>V&#x003B4;1 &#x003B3;&#x003B4; T cells from patients with AML and MM show a shift toward increased EM and TEMRA differentiation. &#x003B3;&#x003B4; T cell differentiation was analyzed by expression of CD45RA and CD27 for healthy donors (HD, white circles, <italic>n</italic> = 16), patients with multiple myeloma (MM, black triangles, <italic>n</italic> = 11) and newly diagnosed AML patients (AML, black rectangles, <italic>n</italic> = 10). CD27<sup>&#x0002B;</sup>CD45RA<sup>&#x0002B;</sup>: na&#x000EF;ve (NA); CD27<sup>&#x0002B;</sup>CD45RA<sup>&#x02212;</sup>: central memory (CM); CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;</sup>: effector memory (EM); CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;</sup>: terminally differentiated (TEMRA). <bold>(A)</bold> T-distributed stochastic neighbor embedding (tSNE) analysis illustrate the differentiation status of V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells within the total &#x003B3;&#x003B4; T cells in BM aspirates from four HDs (left graphs), four patients with MM (middle graphs), and four patients with AML (right graphs). <bold>(B)</bold> Representative flow cytometry data show the differentiation of &#x003B3;&#x003B4; T cells. <bold>(C)</bold> Summary data are demonstrating the distribution of the differentiation status of &#x003B3;&#x003B4; T cells. The upmost graph shows the subsets of all &#x003B3;&#x003B4; T cells, followed by V&#x003B4;1 and V&#x003B4;2 cells only. <bold>(D)</bold> Displays the frequency of CD27<sup>&#x02212;</sup> CD45RA<sup>&#x0002B;&#x0002B;</sup> cells in all &#x003B3;&#x003B4; T cells and V&#x003B4;1 and V&#x003B4;2 only. <italic>P</italic>-Values were obtained by the Mann-Whitney test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
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<p>Taken together, our data show an increased frequency of EM, TEMRA, and CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> V&#x003B4;1 T cells in the BM from patients with AML or MM diagnosis providing the rationale to further analyze this cell population.</p></sec>
<sec>
<title>BM-Derived &#x003B3;&#x003B4; T Cells From Patients With AML and MM Express PD-1, TIGIT, TIM-3, and CD39</title>
<p>Several studies have identified the expression of co-regulatory receptors and ectonucleotidases as characteristic features of altered &#x003B1;&#x003B2; T cell function (<xref ref-type="bibr" rid="B42">42</xref>), but little is known about their surface expression and functional relevance on &#x003B3;&#x003B4; T cells. For comprehensive immunophenotyping of &#x003B3;&#x003B4; T cells, we compared the expression of the co-inhibitory molecules PD-1, TIGIT, TIM-3, the ectonucleotidases CD39 and CD73 and the human leukocyte antigen DR isotype (HLA-DR, which is expressed by activated T cells) between BM-derived &#x003B3;&#x003B4; T cells from patients with AML and MM with that from corresponding CD4<sup>&#x0002B;</sup> and CD8<sup>&#x0002B;</sup> &#x003B1;&#x003B2; T cells from the same patients. For AML, our analyses revealed an increased expression of TIGIT and TIM-3 on &#x003B3;&#x003B4; T cells and CD8<sup>&#x0002B;</sup> T cells in comparison to CD4<sup>&#x0002B;</sup> T cells (&#x003B3;&#x003B4; T cells vs. CD4: for TIGIT <italic>p</italic> = 0.01, for TIM-3 <italic>p</italic> &#x0003C; 0.001, and CD8 vs. CD4: for TIGIT <italic>p</italic> = 0.006, for TIM-3 <italic>p</italic> = 0.01; <xref ref-type="fig" rid="F3">Figure 3A</xref>). In MM, a higher frequency of PD-1, TIGIT, and HLA-DR was observed within the &#x003B3;&#x003B4; T cell and also the CD8<sup>&#x0002B;</sup> T cell population in comparison to the corresponding CD4<sup>&#x0002B;</sup> T cells (&#x003B3;&#x003B4; T cells vs. CD4: for PD-1 <italic>p</italic> = 0.029, for TIGIT <italic>p</italic> &#x0003C; 0.0001 and for HLA-DR <italic>p</italic> = 0.0008; and CD8 vs. CD4: for PD-1 <italic>p</italic> = 0.0022, for TIGIT <italic>p</italic> = 0.002 and for HLA-DR <italic>p</italic> &#x0003C; 0.0001; <xref ref-type="fig" rid="F3">Figure 3B</xref>). In MM, the frequency of CD73<sup>&#x0002B;</sup> cells was significantly lower in the &#x003B3;&#x003B4; T cell population in comparison to the CD4<sup>&#x0002B;</sup> and CD8<sup>&#x0002B;</sup> population (<italic>p</italic> = 0.0005 and <italic>p</italic> = 0.007 respectively; <xref ref-type="fig" rid="F3">Figure 3B</xref>). Next, we compared the expression of the co-regulatory receptors in AML and MM with that from age-matched PB of HDs (for gating strategy see <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref>). Performing tSNE analyses, our data revealed intense regions of PD-1<sup>&#x0002B;</sup>, TIGIT<sup>&#x0002B;</sup>, TIM-3<sup>&#x0002B;</sup>, and CD39<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells that differed in AML and MM from that in HDs (<xref ref-type="fig" rid="F3">Figure 3C</xref>). Also, our comprehensive analyses showed an increased frequency of &#x003B3;&#x003B4; T cells expressing PD-1 and CD39 in both neoplasias in comparison to HDs (<xref ref-type="fig" rid="F3">Figure 3D</xref>). Furthermore, in AML TIM-3<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells were more frequent in comparison to HDs (<italic>p</italic> = 0.035, <xref ref-type="fig" rid="F3">Figure 3C</xref>) whereas in MM, &#x003B3;&#x003B4; T cells showed increased levels of TIGIT<sup>&#x0002B;</sup> &#x02013;and HLA-DR<sup>&#x0002B;</sup> cells (<italic>p</italic> = 0.002 and <italic>p</italic> = 0.006, respectively; <xref ref-type="fig" rid="F3">Figure 3D</xref>). Analyzing the median fluorescence intensity (MFI), the same results were detected (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 4A</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>PD-1, TIGIT, TIM-3, and CD39 are expressed by &#x003B3;&#x003B4; T cells in AML and MM. The surface expression of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR was investigated on CD4<sup>&#x0002B;</sup>, CD8<sup>&#x0002B;</sup>, and &#x003B3;&#x003B4; T cells by using multicolor flow analysis for healthy donors (HD, <italic>n</italic> = 16), patients with multiple myeloma (MM, <italic>n</italic> = 11), and newly diagnosed AML patients (AML, <italic>n</italic> = 10). <bold>(A,B)</bold> Summary data illustrating the frequency of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR on CD4<sup>&#x0002B;</sup> cells (gray squares/triangles), CD8<sup>&#x0002B;</sup> T cells (black squares/triangles), and &#x003B3;&#x003B4; T cells (red squares/triangles). <italic>P</italic>-values were obtained by the ANOVA and Friedmann test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001, &#x0002A;&#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.0001. <bold>(C)</bold> T-distributed stochastic neighbor embedding (tSNE) analysis demonstrate the distribution of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR on V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells within the total &#x003B3;&#x003B4; T cells in BM aspirates from four HDs (upper graphs), four patients with MM (middle graphs), and four patients with AML (lower graphs). <bold>(D)</bold> Summary data show the expression of PD-1, TIGIT, TIM-3, HLA-DR, CD39, and CD73 on &#x003B3;&#x003B4; T cells in HD (HD, white circle) vs. MM (black triangles) vs. AML (black rectangles). <italic>P</italic>-values were obtained by the Mann-Whitney test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
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<p>Overall, &#x003B3;&#x003B4; T cells exhibit higher frequencies of co-regulatory receptors in comparison with CD4<sup>&#x0002B;</sup> T cells, but similar to that expressed by CD8<sup>&#x0002B;</sup> T cells. In contrast to HDs, &#x003B3;&#x003B4; T cells in the BM from patients with AML and MM showed an increased expression of the co-inhibitory molecules PD-1, TIGIT, TIM-3 or CD39.</p></sec>
<sec>
<title>V&#x003B4;1 T Cells Exhibit the Highest Frequency of Co-inhibitory Receptors in AML and MM</title>
<p>In our phenotypic comparisons of BM-derived &#x003B3;&#x003B4; T cells, PD-1, TIGIT, TIM-3, and CD39 emerged as receptors expressed by &#x003B3;&#x003B4; T cells in AML and MM. We thus analyzed receptor expression on different &#x003B3;&#x003B4; T cell subpopulations.</p>
<p>In both malignancies, TIGIT<sup>&#x0002B;</sup> and TIM-3<sup>&#x0002B;</sup> cells were significantly more frequent among the V&#x003B4;1 subpopulation in comparison to the V&#x003B4;2 subpopulation (AML: <italic>p</italic> = 0.006, <italic>p</italic> = 0.014 and MM: <italic>p</italic> = 0.001, <italic>p</italic> = 0.042; <xref ref-type="fig" rid="F4">Figures 4A,B</xref>). Additionally, the PD-1 expression was increased on the V&#x003B4;1 cells in AML (<italic>p</italic> = 0.002, <xref ref-type="fig" rid="F4">Figures 4A,B</xref>). Apart from TIGIT, the MFIs of TIM-3- and PD-1 MFIs were also significantly increased on the V&#x003B4;1&#x02013;in comparison to the V&#x003B4;2 cells (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures 4B&#x02013;D</xref>). Again, we compared mononuclear cells derived from paired PB and BM aspirates of 9 AML patients, to exclude that our data are compartment- and not tumor-associated. The frequencies of PD-1<sup>&#x0002B;</sup>, TIGIT<sup>&#x0002B;</sup>, TIM-3<sup>&#x0002B;</sup>, CD39<sup>&#x0002B;</sup>, and CD73<sup>&#x0002B;</sup> (V&#x003B4;1) &#x003B3;&#x003B4; T cells were similar in both compartments (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2B</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>V&#x003B4;1 &#x003B3;&#x003B4; T cells highly express PD-1, TIGIT, TIM-3, but not CD39, CD73, and HLA-DR in AML and MM. The surface expression of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR was compared between V&#x003B4;1 and V&#x003B4;2 T cells in bone marrow (BM) aspirates from patients with multiple myeloma (MM, black triangles, <italic>n</italic> = 11) and newly diagnosed AML patients (AML, black rectangles, <italic>n</italic> = 10). <bold>(A)</bold> Summary data show the paired distribution of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR expression in V&#x003B4;1 and V&#x003B4;2 T cells per patient. <italic>P</italic>-values were obtained by the Wilcoxon matched-pairs signed-rank test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001. <bold>(B)</bold> Representative flow cytometry histograms demonstrate the expression of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR on &#x003B3;&#x003B4; T cells in healthy donors (HD, dark gray), multiple myeloma patients (MM, blue), and newly diagnosed AML patients (AML, red) in comparison to the fluorescence-minus-one control (FMO, gray).</p></caption>
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<p>Regarding the differentiation status, CM &#x003B3;&#x003B4; T cells showed higher frequencies of PD-1<sup>&#x0002B;</sup> cells, whereas EM and TEMRA &#x003B3;&#x003B4; T cells exhibit increased amounts of TIGIT and TIM-3 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 5</xref>). As the V&#x003B4;1 population in AML and MM showed a significant shift toward TEMRA and CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> differentiation, we further compared the receptor expression on these differentiation subgroups between paired V&#x003B4;1 and V&#x003B4;2 cells. In AML and MM, the frequency of TIGIT<sup>&#x0002B;</sup> and TIM-3<sup>&#x0002B;</sup> cells was higher on the TEMRA V&#x003B4;1 than on the TEMRA V&#x003B4;2 T cell subset (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 6</xref>). Within the TEMRA V&#x003B4;1 T cell population, the aberrant population of CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> T cells showed the highest frequency of PD-1<sup>&#x0002B;</sup>-, TIGIT<sup>&#x0002B;</sup>-, TIM-3<sup>&#x0002B;</sup>-, and CD39<sup>&#x0002B;</sup> cells in AML (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 7</xref>). In MM, this was only the case for TIM-3 expression (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 7</xref>), whereas CD73 was completely downregulated in these cells (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 7</xref>).</p>
<p>Taken together, in both malignancies in contrast to HDs, the co-inhibitory receptors PD-1, TIGIT, and TIM-3 were expressed by the V&#x003B4;1 T cell subpopulation in comparison to their corresponding V&#x003B4;2 T cell subpopulation.</p></sec>
<sec>
<title>PD-1, TIM-3, and CD39 Were Co-expressed With TIGIT on V&#x003B4;1 T Cells in AML and MM</title>
<p>Since we found that PD-1, TIGIT, TIM-3, and CD39 are more frequently expressed by the V&#x003B4;1 subpopulation in AML and MM, the &#x003B3;&#x003B4; T cells were further assessed with regard to a multiple co-expression of these co-regulatory molecules.</p>
<p>The frequency of &#x003B3;&#x003B4; T cells co-expressing PD-1, TIM-3, and CD39 together with TIGIT was significantly higher in samples from AML and MM in comparison to HDs (AML vs. HD: <italic>p</italic> = 0.006, <italic>p</italic> = 0.001, <italic>p</italic> = 0.08 and MM vs. HD: <italic>p</italic> = 0.004, <italic>p</italic> = 0.004, <italic>p</italic> = 0.017; <xref ref-type="fig" rid="F5">Figure 5A</xref>). This difference of co-expression in AML and MM was caused by the significant co-expression of PD-1 and TIM-3 on the TIGIT<sup>&#x0002B;</sup> V&#x003B4;1 &#x003B3;&#x003B4; T cells in comparison to their corresponding V&#x003B4;2 cells (AML: <italic>p</italic> = 0.01, <italic>p</italic> = 0.008 and MM: <italic>p</italic> = 0.01, <italic>p</italic> = 0.042; <xref ref-type="fig" rid="F5">Figure 5B</xref>). In contrast to the increased co-expression of TIGIT and CD39 in all &#x003B3;&#x003B4; T cells in AML and MM, the clustering of CD39 on V&#x003B4;1 in comparison to the corresponding V&#x003B4;2 &#x003B3;&#x003B4; T cell subset was only nearly significant in MM, and not significant in AML. In addition, the majority of TIGIT<sup>&#x0002B;</sup> V&#x003B4;1 &#x003B3;&#x003B4; T cells did not express the ectoenzyme CD73 (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>). Again, this multiple co-expression of co-inhibitory molecules was in particular observed on the V&#x003B4;1 CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> subset (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 8</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>PD-1 and TIM-3 are co-expressed with TIGIT on &#x003B3;&#x003B4; T cells in AML and MM. The co-expression of PD-1, TIGIT, TIM-3, CD39, CD73, and HLA-DR was compared between &#x003B3;&#x003B4; T cells from peripheral blood (PB) of healthy donors (HD, white circles, <italic>n</italic> = 16), and bone marrow (BM) aspirates from patients with multiple myeloma (MM, black triangles, <italic>n</italic> = 11), and newly diagnosed AML (AML, black rectangles, <italic>n</italic> = 10). <bold>(A)</bold> Summary data are illustrating the co-expression of PD-1, TIM-3, CD39, CD73, and the HLA-DR receptor with TIGIT on &#x003B3;&#x003B4; T cells. <italic>P</italic>-values were obtained by the Mann-Whitney test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001. <bold>(B)</bold> Summary data show the co-expression of PD-1, TIM-3, CD39, CD73, and HLA-DR with TIGIT on paired V&#x003B4;1 and V&#x003B4;2 &#x003B3;&#x003B4; T cells from patients with MM (black triangles) and AML (black rectangles). <italic>P</italic>-values were obtained by the Wilcoxon matched-pairs signed-rank test. &#x0002A;<italic>P</italic> &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01, &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-763773-g0005.tif"/>
</fig>
<p>In summary, the BM-infiltrating &#x003B3;&#x003B4; T cells co-expressed PD-1, TIM-3, and CD39 with TIGIT in both hematological malignancies. Moreover, V&#x003B4;1 cells in AML and MM co-expressed PD-1 and TIM-3 with TIGIT more frequently than their corresponding V&#x003B4;2 T cells. For CD39, this was only the case in MM but not in AML CD39 was also significantly co-expressed with TIGIT on the V&#x003B4;1 T cells.</p></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study provides a phenotypic analysis of the BM-resident &#x003B3;&#x003B4; population in patients with AML and MM. Here, we demonstrate that V&#x003B4;1 T cells represent the predominant &#x003B3;&#x003B4; T-cell population in the BM from these patients whereas V&#x003B4;2 T cells were dominant in the PB of HDs. The BM-infiltrating V&#x003B4;1 T cells in AML and MM showed an increased TEMRA cell compartment with an aberrant subpopulation of CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> cells in comparison to HDs. Expression analyses of corresponding immune effector cells derived from the BM revealed an increased expression of TIGIT, PD-1, TIM-3, and CD39 on &#x003B3;&#x003B4; TCR cells in comparison to CD4<sup>&#x0002B;</sup> cells, which was similar to that on CD8<sup>&#x0002B;</sup> effector cells in both hematologic malignancies. In contrast to the V&#x003B4;2 T cells, the increased frequency of PD-1, TIGIT, TIM-3, and CD39 positive cells was mainly observed on V&#x003B4;1 T cells. This upregulated expression of co-regulatory receptors in AML and MM was related to the TEMRA &#x003B3;&#x003B4; subpopulation and within this population, highest expression was found on the CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> cells. Furthermore, &#x003B3;&#x003B4; T cells in AML and MM exhibited a further feature of exhaustion, manifested by an increased co-expression of multiple co-inhibitory molecules including PD-1, TIM-3, and CD39 together with TIGIT, which was caused by the increased co-expression on the V&#x003B4;1 T-cell population. In contrast, CD73 expression was downregulated by the TIGIT<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in AML and MM. Regarding the co-expression of multiple co-inhibitory receptors, we observed similar frequencies of double positive (TIGIT<sup>&#x0002B;</sup>PD-1<sup>&#x0002B;</sup> / TIGIT<sup>&#x0002B;</sup>TIM-3<sup>&#x0002B;</sup> or TIGIT<sup>&#x0002B;</sup>CD39<sup>&#x0002B;</sup>) cells in both cancer entities. In contrast, the single expression of TIGIT and HLA-DR was higher in MM, whereas TIM-3 was more frequently expressed by &#x003B3;&#x003B4; T cells derived from patients with AML. These differences between both entities might be explained by variations in the immune response upon chronic stimulation.</p>
<p>&#x003B3;&#x003B4; T cells are endowed with two independent recognition systems including the &#x003B3;&#x003B4; TCR and NK cell receptors to identify tumor cells and initiate anti-cancer effector mechanisms, including cytokine production and cytotoxicity. Therefore, &#x003B3;&#x003B4; T cells represent ideal effectors with a better safety profile and a more favorable anti-tumor efficacy in comparison to conventional &#x003B1;&#x003B2; T cells because of their HLA-independent recognition of phosphoantigens that are characteristic for dysregulated metabolism in tumors (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Furthermore, the HLA- independent recognition system results in reduced graft vs. host disease and diminished target effects (<xref ref-type="bibr" rid="B44">44</xref>&#x02013;<xref ref-type="bibr" rid="B47">47</xref>). Provided with these special features, &#x003B3;&#x003B4; T cells represent attractive effector cells for adoptive T cell strategies. A recently designed &#x003B3;&#x003B4; T cell construct with a GD2-targeted CAR showed potent responses against Disialoganglioside (GD2)<sup>&#x0002B;</sup> neuroblastoma (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Moreover, first clinical studies have been conducted to investigate the safety and efficacy of adoptive transfer of autologous or allogeneic &#x003B3;&#x003B4; T cells in cancer patients including renal cell carcinoma, lung cancer, hepatocellular carcinoma, breast cancer, prostate cancer, and multiple myeloma (<xref ref-type="bibr" rid="B50">50</xref>). These studies confirmed that &#x003B3;&#x003B4; T cell application is safe, with low levels of adverse events and that the clinical responses are ranging from partial to complete remissions (<xref ref-type="bibr" rid="B50">50</xref>). In AML, promising data have been recently presented by Ganesan et al. demonstrating increased <italic>in vitro</italic> and <italic>in vivo</italic> &#x003B3;&#x003B4; T cell-mediated cytotoxicity by a bispecific engager molecule against T cell receptor gamma variable 9 (TRGV9) and CD123 (<xref ref-type="bibr" rid="B51">51</xref>). However, there is still potential for improvement including the engagement of co-regulatory checkpoint molecules.</p>
<p>In agreement with other studies, we found that in BM from AML and MM patients, the infiltration of tissue-resident V&#x003B4;1 T cells was increased, whereas the frequency of the circulating V&#x003B4;2 T cells was lower compared to that in the PB from HDs (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B52">52</xref>). This inversion of the V&#x003B4;1/V&#x003B4;2 ratio in different tissues has been recently observed in solid cancer including melanoma, colorectal cancer, and non-small cell lung cancer as well (<xref ref-type="bibr" rid="B52">52</xref>). Although a clear correlation with &#x003B3;&#x003B4; T cell infiltration and prognosis of cancer patients is still missing, some studies demonstrated that a reduction of V&#x003B4;2 T cells correlates with an advanced stage. In line with this, enhanced levels of V&#x003B4;2 T cells correlated with an early stage of melanoma, the absence of metastasis and a longer 5-year disease-free survival rate of colorectal cancer patients (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>To exclude that the differences observed between HD-derived PB and patient-derived BM could be compartment-associated, we additionally compared paired BM and PB aspirates from nine AML patients on a random basis. We observed no difference in the frequency of the total &#x003B3;&#x003B4; T cells, nor in the distribution of V&#x003B4;1 and V&#x003B4;2 T cells. Moreover, no variations of checkpoint expression on &#x003B3;&#x003B4; T cells and subpopulations respectively, were observed in these nine AML patients. Similar with our findings, Rossol et al. compared V&#x003B4;1 T cells derived from the BM and PB from patients with HIV and observed no significant differences (<xref ref-type="bibr" rid="B53">53</xref>). Dean et al.&#x00027;s studies confirmed these observations, revealing no significant differences of &#x003B3;&#x003B4; T cells when they compared aspirates from the BM and PB derived from patients with an active hematopoietic malignancy or in remission (<xref ref-type="bibr" rid="B54">54</xref>). Our study has the limitation of a relatively small sample size of patients with newly diagnosed AML and MM. Therefore, the observations made in this study should be interpreted with caution until validated in a larger cohort.</p>
<p>Our analyses of the differentiation status revealed a shift toward increased TEMRA differentiation. Migration of TEMRAs into inflammatory sites to perform effector functions has also been observed for chronic infections such as CMV, but also for solid cancer including neuroblastoma, colorectal cancer, and melanoma (<xref ref-type="bibr" rid="B5">5</xref>). For AML patients, Gertner-Dardenne et al. first described an increased memory profile in &#x003B3;&#x003B4; T cells derived from the PB and BM, but in contrast to our study, they observed a differentiation into CD27<sup>&#x02212;</sup>CD45RA<sup>&#x02212;</sup> defined EMs (<xref ref-type="bibr" rid="B6">6</xref>). To our knowledge, our study is the first description of the differentiation status in the BM for MM. We also found a unique &#x003B3;&#x003B4; T cell subpopulation in the BM niche from patients with AML and MM that is characterized by the CD27<sup>&#x02212;</sup>CD45RA<sup>&#x0002B;&#x0002B;</sup> phenotype. This aberrant subpopulation discovered by Odaira et al. is reported as a predominant subpopulation in different types of cancer and is characterized as &#x0201C;exhausted&#x0201D; subgroup defined by diminished proliferation capacity (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>We and others have previously described an increased expression of TIGIT, PD-1, TIM-3, and CD39 on &#x003B1;&#x003B2; T cells in AML and MM (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B55">55</xref>&#x02013;<xref ref-type="bibr" rid="B57">57</xref>). Expression of these markers on &#x003B1;&#x003B2; T cells was related to features of exhaustion manifested by transcriptional reprogramming, reduced effector cytokine production, decreased proliferation, and impaired lysis of tumor cells (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Our comparative analyses of the co-regulatory marker expression on the corresponding CD4<sup>&#x0002B;</sup>, CD8<sup>&#x0002B;</sup>, and &#x003B3;&#x003B4; T cells discovered that &#x003B3;&#x003B4; T cells in the BM from patients with AML and MM exhibit a similar expression profile of TIGIT, PD-1, TIM-3, and CD39 to that on CD8<sup>&#x0002B;</sup> T cells. In MM, &#x003B3;&#x003B4; T cells showed even higher frequencies of TIGIT<sup>&#x0002B;</sup> cells than the CD8<sup>&#x0002B;</sup> population. Moreover, this study illustrated the increased co-expression of PD-1 and TIM-3 together with TIGIT on &#x003B3;&#x003B4; T cells in AML and MM for the first time, hypothesizing that these cells are functionally &#x0201C;exhausted.&#x0201D;</p>
<p>Although the knowledge of checkpoint expression on &#x003B3;&#x003B4; T cells is still sparse, our observations of an increased frequency of TIGIT<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells confirm the data of increased levels of TIGIT<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in <italic>de novo</italic> AML patients published by Jin et al. In their study, upregulation of TIGIT on &#x003B3;&#x003B4; T cells was associated with a lower overall survival rate for non-M3 AML (<xref ref-type="bibr" rid="B38">38</xref>). To our knowledge, there is no publication of the TIGIT expression on &#x003B3;&#x003B4; T cells in MM.</p>
<p>PD-1 expression on human healthy &#x003B3;&#x003B4; T cells has been reported upon antigen-stimulation (<xref ref-type="bibr" rid="B59">59</xref>). Additionally, the PD-L1/PD-1 signaling in &#x003B3;&#x003B4; T cells prevented &#x003B1;&#x003B2; T cell activation via checkpoint receptor ligation in pancreatic adenocarcinoma (<xref ref-type="bibr" rid="B60">60</xref>). In AML, pembrolizumab treatment in combination with zoledronate and interleukin-2 (IL-2) leads to increased IFN-&#x003B3; production in &#x003B3;&#x003B4; T cells <italic>in vitro</italic> (<xref ref-type="bibr" rid="B61">61</xref>). Also, in MM PD-1 expression increased in &#x003B3;&#x003B4; T cells after zoledronate stimulation in contrast to HD-derived &#x003B3;&#x003B4; T cells, suggesting that MM-derived &#x003B3;&#x003B4; T cells are intrinsically programmed to increase their threshold of refractoriness via PD-1 upregulation. Interestingly, this upregulation was observed especially in the central memory subset of the V&#x003B4;2 T cells, which in normal conditions is the subset with the highest proliferative capacity (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Similar to TIGIT and PD-1, receptors, TIM-3 expression and function on conventional &#x003B1;&#x003B2; T cells has been profoundly studied, but characterization on &#x003B3;&#x003B4; T cells is very limited. Schofield et al. reported an upregulation of TIM-3 on &#x003B3;&#x003B4; T cells in childhood malaria. This was also mainly observed in the TEMRA population and was regulated by IL-18 and IL-12 (<xref ref-type="bibr" rid="B62">62</xref>). In colorectal cancer, the fraction of TIM-3<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells has been reported to be increased, which correlated with tumor-lymph-node-metastasis (TNM) staging. Moreover, TIM-3 signaling significantly inhibited the killing efficiency of V&#x003B4;2 T cells against colon cancer cells and reduced the secretion of perforin and granzyme B (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>CD39<sup>&#x0002B;</sup> expression has been reported on tissue-resident &#x003B3;&#x003B4; T cells (<xref ref-type="bibr" rid="B64">64</xref>). Moreover, CD39<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells suppressed immune responses via the adenosine pathway by recruitment of myeloid-derived suppressor cells in colorectal cancer (<xref ref-type="bibr" rid="B39">39</xref>). These CD39<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells also expressed FOXP3<sup>&#x0002B;</sup>, a marker of regulatory &#x003B1;&#x003B2; T cells but have more potent immunosuppressive activity than CD4<sup>&#x0002B;</sup> or CD8<sup>&#x0002B;</sup> regulatory T cells (Tregs) (<xref ref-type="bibr" rid="B39">39</xref>). Moreover, Casetti et al. reported that FOXP3<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells have the potential to inhibit the proliferation of anti-CD3/anti-CD28 stimulated PBMCs <italic>in vitro</italic> (<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>Despite V&#x003B4;1 and V&#x003B4;2 T cells both having cytotoxic capability, it has been shown that these two subsets express distinct chemokine receptors and cell adhesion molecules (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Our data revealed that increased expression of TIGIT, PD-1, TIM-3, and CD39 was mainly confined to the V&#x003B4;1 T cell subpopulation in the BM from AML and MM patients. Recent studies found that the less studied V&#x003B4;1 T cells outperform V&#x003B4;2 T cells in most <italic>in vitro</italic> and first <italic>in vivo</italic> cancer models in terms of cytotoxicity and cell persistence after allogeneic cell transfer (<xref ref-type="bibr" rid="B68">68</xref>). Moreover, because of their different chemokine-receptor profile, V&#x003B4;1 T cells exhibit an increased ability of tissue penetration in comparison to V&#x003B4;2 T cells (<xref ref-type="bibr" rid="B69">69</xref>). Those results underline the functional relevance of the observed upregulation of multiple co-regulatory receptors on these cytotoxic effector V&#x003B4;1 T cells in AML and MM in this study.</p>
<sec>
<title>Conclusion</title>
<p>This study identified &#x003B3;&#x003B4; T cells, in particular V&#x003B4;1 T cells, in AML and MM as expressors of multiple inhibitory receptors including TIGIT, PD-1, TIM-3, and the potential tissue residency marker CD39. (Co-)expression of inhibitory receptors may reflect their exhaustion status and represent targetable structures on cytotoxic effector cells. Inhibition of TIGIT, PD-1, TIM-3, and CD39 especially on V&#x003B4;1 T cells alone or in combinatorial strategies should be further analyzed with regard to re-invigorating and boosting their cytotoxicity.</p></sec></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Declaration of Helsinki and approval by the local ethics board of the &#x000C4;rztekammer Hamburg (PV3469 and PV5119). The patients/participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>FB designed the research study, analyzed the data, and wrote the manuscript. PW performed the experiments, analyzed the data, and reviewed the manuscript. KW, LL, and BF provided the myeloma aspirates and reviewed the manuscript. CB and JSzW reviewed the manuscript. JW and WF conceived the concept, oversaw the interpretation and presentation of the data, and reviewed the manuscript. All authors read and approved the final manuscript.</p></sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>FB was supported by the Mildred Scheel Nachwuchszentrum Hamburg and the Hamburg Translational Research in Cancer program at the University Medical Center Hamburg-Eppendorf, Hamburg, Germany. JSzW was funded by the SFB1328 and by the DFG SFB841. The project was funded by the Roggenbuck Stiftung.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>FB: Travel grant Daiichi Sankyo, Servier, Novartis; advisory board by Jazz. GmbH, Daiichi Sankyo. WF: Membership on an entity&#x00027;s board of directors or advisory Amgen, ARIAD/Incucyte, Pfizer, Novartis, Jazz Pharmaceuticals, Morphosys, Abbvie, Celgene; patents and royalities: Amgen; other support for meeting attendance Amgen, Gilead, Jazz Pharmaceuticals, Servier, Daiichi Sankyo; research funding Amgen, Pfizer. Travel grant, advisory board and research funding by Amgen Inc., travel grant and advisory board by TEVA GmbH, the advisory board: Ariad/Incucyte Inc., travel grant by Gilead Inc and Jazz. GmbH, research funding by Pfizer Inc. KW: Honoraria: AbbVie, Amgen, Adaptive Biotech, Celgene/BMS, GSK, Janssen, Karyopharm, Novartis, Roche, Takeda, Sanofi; Research funding: Amgen, Celgene, Janssen, Sanofi. LL: Non-financial support from GSK and from Abbvie. CB: Travel grant: Astra Zeneca, Bayer Healthcare, Berlin Chemie, Bristol Myers Squipp, Jansen Cilag, Merck Serono, Merck Sharp Dohme, Novartis, Roche Pharma, Sanofi Aventis; Advisory board: Astra Zeneca, Bayer Healthcare, Berlin Chemie, Bristol Myers Squipp, Jansen Cilag, Merck Serono, Merck Sharp Dohme, Novartis, Roche Pharma, Sanofi Aventis; Invited speaker: AOK Germany, med update, Merck Serono; Honoraria: AOK Germany, Astra Zeneca, Bayer Healthcare, Berlin Chemie, GSO Research Organisation, Jansen Cilag, med update, Merck Serono, Merck Sharp Dohme, Novartis, Roche Pharma, Sanofi Aventis. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor declared a past co-authorship with the authors JW and WF.</p></sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec> </body>
<back>
<ack><p>We thank all our patients for their trust, understanding, and willingness to provide their bone marrow aspirates for our research. Moreover, we would like to thank the FACS Core Facility at the University Medical Center Hamburg-Eppendorf for making the technical implementation possible. Lastly, we would like to thank the Mildred-Scheel-Nachwuchszentrum for supporting our research.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2021.763773/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2021.763773/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation_1.pptx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.presentationml.presentation" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>ADO</term>
<def><p>adenosine</p></def></def-item>
<def-item><term>aHSCT</term>
<def><p>allogeneic hematopoietic stem cell transplantation</p></def></def-item>
<def-item><term>AML</term>
<def><p>Acute myeloid leukemia</p></def></def-item>
<def-item><term>ATP</term>
<def><p>adenosine triphosphate</p></def></def-item>
<def-item><term>BiTEs</term>
<def><p>bispecific T cell engagers</p></def></def-item>
<def-item><term>BM</term>
<def><p>bone marrow</p></def></def-item>
<def-item><term>CAR-T cells</term>
<def><p>chimeric antigen receptor T cells</p></def></def-item>
<def-item><term>CD39</term>
<def><p>ectonucleoside triphosphate diphosphohydrolase-1</p></def></def-item>
<def-item><term>CD73</term>
<def><p>ecto-5&#x02032;-nucleotidase</p></def></def-item>
<def-item><term>CM</term>
<def><p>central memory cells</p></def></def-item>
<def-item><term>CMV</term>
<def><p>cytomegalovirus</p></def></def-item>
<def-item><term>EM</term>
<def><p>effector memory cells</p></def></def-item>
<def-item><term>DC</term>
<def><p>dendritic cells</p></def></def-item>
<def-item><term>FMO</term>
<def><p>Fluorescence minus one</p></def></def-item>
<def-item><term>HD</term>
<def><p>healthy donor</p></def></def-item>
<def-item><term>IFN-&#x003B3;</term>
<def><p>Interferon-&#x003B3;</p></def></def-item>
<def-item><term>IL-2</term>
<def><p>interleukin-2</p></def></def-item>
<def-item><term>IL-10</term>
<def><p>interleukin 10</p></def></def-item>
<def-item><term>IL-12</term>
<def><p>interleukin 12</p></def></def-item>
<def-item><term>MM</term>
<def><p>multiple myeloma</p></def></def-item>
<def-item><term>MCF</term>
<def><p>multiparametric flow cytometry</p></def></def-item>
<def-item><term>MFI</term>
<def><p>mean fluorescence intensity</p></def></def-item>
<def-item><term>MGUS</term>
<def><p>monoclonal gammopathy of undetermined significance</p></def></def-item>
<def-item><term>NA</term>
<def><p>na&#x000EF;ve cells</p></def></def-item>
<def-item><term>NKG2D</term>
<def><p>natural killer group 2D</p></def></def-item>
<def-item><term>non-APL AML</term>
<def><p>non-acute promyelocytic leukemia</p></def></def-item>
<def-item><term>PB</term>
<def><p>peripheral blood</p></def></def-item>
<def-item><term>PVR</term>
<def><p>poliovirus receptor</p></def></def-item>
<def-item><term>PVRL2</term>
<def><p>poliovirus receptor-related 2</p></def></def-item>
<def-item><term>TEMRA</term>
<def><p>terminal differentiated effector memory cells</p></def></def-item>
<def-item><term>TIGIT</term>
<def><p>T cell immunoreceptor with Ig and ITIM domains</p></def></def-item>
<def-item><term>TIL</term>
<def><p>tumor-infiltrating lymphocytes</p></def></def-item>
<def-item><term>TIM-3</term>
<def><p>hepatitis A virus cellular receptor 2</p></def></def-item>
<def-item><term>TME</term>
<def><p>tumor microenvironment</p></def></def-item>
<def-item><term>TNF</term>
<def><p>tumor necrosis factor</p></def></def-item>
<def-item><term>tSNE</term>
<def><p>t-distributed stochastic neighbor embedding.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article> 