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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.866610</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Patients With Myeloproliferative Neoplasms Harbor High Frequencies of CD8 T Cell-Platelet Aggregates Associated With T Cell Suppression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Carnaz Sim&#xf5;es</surname>
<given-names>Ana Micaela</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1701212"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Holmstr&#xf6;m</surname>
<given-names>Morten Orebo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/597538"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aehnlich</surname>
<given-names>Pia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/944576"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rahbech</surname>
<given-names>Anne</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peeters</surname>
<given-names>Marlies J. W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>   
<contrib contrib-type="author">
<name>
<surname>Radziwon-Balicka</surname>
<given-names>Aneta</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/743977"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zamora</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1185496"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wirenfeldt Klausen</surname>
<given-names>Tobias</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Skov</surname>
<given-names>Vibe</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kj&#xe6;r</surname>
<given-names>Lasse</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/922775"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ellervik</surname>
<given-names>Christina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fassi</surname>
<given-names>Daniel El</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vidal</surname>
<given-names>Silvia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/606747"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hasselbalch</surname>
<given-names>Hans Carl</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/722511"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andersen</surname>
<given-names>Mads Hald</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1017578"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>thor Straten</surname>
<given-names>Per</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/91581"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Herlev University Hospital</institution>, <addr-line>Herlev</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>IIB-Sant Pau- Institut Rec. Hospital de la Santa Creu i Sant Pau</institution>, <addr-line>Barcelona</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hematology, Zealand University Hospital</institution>, <addr-line>Roskilde</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Laboratory Medicine, Boston Children&#x2019;s Hospital, Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Data and Innovation Support, Region Zealand</institution>, <addr-line>Sor&#xf8;</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Hematology, Rigshospitalet University Hospital</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Lorena Arranz, UiT The Arctic University of Norway, Norway</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Markus Philipp Radsak, Johannes Gutenberg University Mainz, Germany; Roi Gazit, Ben Gurion University of the Negev, Israel</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Per thor Straten, <email xlink:href="mailto:per.thor.straten@regionh.dk">per.thor.straten@regionh.dk</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>866610</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Carnaz Sim&#xf5;es, Holmstr&#xf6;m, Aehnlich, Rahbech, Peeters, Radziwon-Balicka, Zamora, Wirenfeldt Klausen, Skov, Kj&#xe6;r, Ellervik, Fassi, Vidal, Hasselbalch, Andersen and thor Straten</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Carnaz Sim&#xf5;es, Holmstr&#xf6;m, Aehnlich, Rahbech, Peeters, Radziwon-Balicka, Zamora, Wirenfeldt Klausen, Skov, Kj&#xe6;r, Ellervik, Fassi, Vidal, Hasselbalch, Andersen and thor Straten</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>Myeloproliferative neoplasms (MPN) are chronic cancers of the hematopoietic stem cells in the bone marrow, and patients often harbor elevated numbers of circulating platelets (PLT). We investigated the frequencies of circulating PLT-lymphocyte aggregates in MPN patients and the effect of PLT-binding on CD8 T cell function. The phenotype of these aggregates was evaluated in 50 MPN patients and 24 controls, using flow cytometry. <italic>In vitro</italic> studies compared the proliferation, cytokine release, and cytoxicity of PLT-bound and PLT-free CD8 T cells. Frequencies of PLT-CD8 T cell aggregates, were significantly elevated in MPN patients. Advanced disease stage and <italic>CALR</italic> mutation associated with the highest aggregate frequencies with a predominance of PLT-binding to antigen-experienced CD8 T cells. PLT-bound CD8 T cells showed reduction in proliferation and cytotoxic capacity. Our data suggest that CD8 T cell responses are jeopardized in MPN patients. <italic>JAK2</italic> and <italic>CALR</italic> exon 9 mutations &#x2013; the two predominant driver mutations in MPN &#x2013; are targets for natural T cell responses in MPN patients. Moreover, MPN patients have more infections compared to background. Thus, PLT binding to antigen experienced CD8 T cells could play a role in the inadequacy of the immune system to control MPN disease progression and prevent recurrent infections.</p>
</abstract>
<kwd-group>
<kwd>platelets</kwd>
<kwd>platelet-bound T cells</kwd>
<kwd>platelet-T cell aggregates</kwd>
<kwd>Myeloproliferative Neoplasms (MPN)</kwd>
<kwd>CALR mutation</kwd>
<kwd>JAK2 mutation</kwd>
</kwd-group>
<contract-sponsor id="cn001">H2020 Marie Sk&#x142;odowska-Curie Actions<named-content content-type="fundref-id">10.13039/100010665</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Sundhed og Sygdom, Det Frie Forskningsr&#xe5;d<named-content content-type="fundref-id">10.13039/100008392</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Kr&#xe6;ftens Bek&#xe6;mpelse<named-content content-type="fundref-id">10.13039/100008363</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="13"/>
<word-count count="7196"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a heterogeneous group of diseases characterized by the clonal expansion of transformed hematopoietic stem cells (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). In the early stages of MPN &#x2013; essential thrombocythemia (ET) and polycythemia vera (PV) &#x2013; platelet counts are variably elevated. The advanced MPN stage, primary myelofibrosis (PMF), is characterized by progressive bone marrow fibrosis and development of cytopenia (<xref ref-type="bibr" rid="B1">1</xref>). The overproduction of peripheral blood cells occurs primarily due to mutations in the <italic>janus kinase 2</italic> (<italic>JAK2</italic>), <italic>calreticulin</italic> (<italic>CALR</italic>), or <italic>myeloproliferative leukemia</italic> (<italic>MPL</italic>) genes, leading to the constitutive activation of the JAK-STAT pathway [reviewed by Vainchenker et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>)]. However, up to 15% of patients do not harbor any driver mutation &#x2013; known as triple-negative MPN (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>
<italic>JAK2</italic> and <italic>CALR</italic> mutations generate cancer-specific neoantigens that are recognized by effector T cells (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Previous studies generated <italic>JAK2</italic>
<sup>V617F</sup>-specific CD8 T cell cultures from a healthy donor, which recognized and selectively killed <italic>JAK2</italic>-mutated cancer cells (<xref ref-type="bibr" rid="B4">4</xref>). In <italic>CALR</italic>-mutant MPN patients, we observed spontaneous and frequent immune responses against epitopes derived from the mutant <italic>CALR</italic> terminus, mediated by CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B5">5</xref>). Despite recognizing and killing autologous <italic>CALR</italic>-mutant cells (<xref ref-type="bibr" rid="B6">6</xref>), T cells derived from PMF patients elicited significantly reduced responses compared to ET-derived T cells (<xref ref-type="bibr" rid="B5">5</xref>). Remarkably, stronger and more frequent responses against CALR neoepitope were observed in healthy individuals (<xref ref-type="bibr" rid="B7">7</xref>) as well as in asymptomatic individuals harboring a low <italic>CALR</italic>-mutant allelic burden (<xref ref-type="bibr" rid="B8">8</xref>). These results support the hypothesis that <italic>CALR</italic>-mutant MPN evolves due to loss of immune-mediated tumor control.</p>
<p>Mounting evidence points towards a severe immune dysregulation in patients with MPN (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), with both early- and advanced-stage patients exhibiting increased levels of several inflammatory cytokines (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>) and a dysregulation in the frequency of circulating immune cells (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Data on interferon-alpha (IFN&#x3b1;) efficacy in MPN patients further supports the theory of immune suppression: IFN&#x3b1; is an immunostimulatory drug capable of inducing long-lasting hematological and molecular remission in these patients (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). As IFN&#x3b1; treatment results in marked alterations in the immune phenotype of patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>) it is speculated that one of its mechanisms of action is the ability to induce an immune response against the malignant cells. Taken together, these data suggest that deregulation of the immune system is an important pathogenic factor for the development and evolvement of MPN.</p>
<p>PLT have been extensively described as crucial players in cancer development, progression, and metastasis (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Activated PLT (act-PLT) can release a wide range of molecules that promote tumor cell proliferation and maintenance of tumor integrity. Recently, Rachidi et&#xa0;al. have shown that transforming growth factor-beta (TGF&#x3b2;) and lactate, released from PLT, can inhibit T cell function and promote resistance to adoptive T cell therapy in murine models (<xref ref-type="bibr" rid="B23">23</xref>). Increased circulating PLT-T cell aggregates were reported in lung cancer patients compared to healthy controls (<xref ref-type="bibr" rid="B24">24</xref>). Moreover, <italic>in vitro</italic> studies showed that these PLT-bound T cell aggregates exhibited a reduced proliferative capacity and released lower levels of proinflammatory cytokines than PLT-free T cells (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Interestingly, expression of CD62P, a marker for platelet activation, is increased in MPN patients (<xref ref-type="bibr" rid="B28">28</xref>). PLT-monocyte and PLT-neutrophil aggregates have been previously studied in MPN (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>), but, to our knowledge, the presence of PLT-T cell aggregates in MPN patients has not been investigated.</p>
<p>As PLT levels are generally elevated in patients with MPN, and all three driver mutations affect the megakaryocytes, it has been speculated that PLT could interact with immune and tumor cells, thus facilitating tumor immune escape in MPN (<xref ref-type="bibr" rid="B30">30</xref>). In the present study, we evaluated the frequency of circulating PLT-lymphocyte aggregates in MPN and found that these patients display markedly higher PLT-T cell aggregates than healthy controls. Furthermore, our <italic>in vitro</italic> studies suggest that the binding of PLT decrease T cell functionality. Hence, we hypothesize that dampened T cell responses potentially jeopardize reactivity to transformed cells as well as preventive responses to infections.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Patient Population</title>
<p>Fifty patients diagnosed with MPN [according to the 2016 WHO classification (<xref ref-type="bibr" rid="B31">31</xref>)] were included in this study. Four asymptomatic individuals harboring a low <italic>CALR</italic>-mutant allelic burden with clonal hematopoiesis of indeterminate potential (<italic>CALR</italic>-mutant CHIP), from the GESUS cohort (<xref ref-type="bibr" rid="B32">32</xref>), were also included. The detailed baseline clinical parameters from the patient population are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. For comparison purposes, 24 age-matched healthy controls (HC) with a median age of 57 years were included. The study was approved by the local ethics committee at Zealand Region (SJ-175, SJ-452, SJ-456 and SJ-585) and conducted according to the provisions of the Declaration of Helsinki. Written informed consent was obtained from all patients and healthy volunteers prior to the beginning of the study.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline Characteristics of the MPN study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">MPN Patients (n = SO)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Median Age [range]</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;at Diagnosis</td>
<td valign="top" align="center">58 [33-79]</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;at Sample</td>
<td valign="top" align="center">67 [42-81]</td>
</tr>
<tr>
<td valign="top" align="left">Median Time from Diagnosis [range]</td>
<td valign="top" align="center">7[0-24]</td>
</tr>
<tr>
<td valign="top" align="left">Gender, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female/male</td>
<td valign="top" align="center">30 (60%) / 20 (40%)</td>
</tr>
<tr>
<td valign="top" align="left">Median PLTCount (PLTx 109/L) [range]</td>
<td valign="top" align="center">325 [105-809]</td>
</tr>
<tr>
<td valign="top" align="left">Driver Mutation, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CALR</td>
<td valign="top" align="center">29 (58%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;JAK2</td>
<td valign="top" align="center">16 (32%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MPL</td>
<td valign="top" align="center">2 (4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Triple Negative</td>
<td valign="top" align="center">3 (6%)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Healthy CALR mutation</td>
<td valign="top" align="center">4 (8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ET</td>
<td valign="top" align="center">11 (22%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PV</td>
<td valign="top" align="center">11 (22%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PreMF</td>
<td valign="top" align="center">7 (14%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PMF</td>
<td valign="top" align="center">17 (34%)</td>
</tr>
<tr>
<td valign="top" align="left">ATI, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;None</td>
<td valign="top" align="center">9 (18%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Aspirin</td>
<td valign="top" align="center">34 (68%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Clopidogrel</td>
<td valign="top" align="center">3 (6%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Apixabane</td>
<td valign="top" align="center">1 (2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Aspirin + Clopidogrel</td>
<td valign="top" align="center">2 (4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Aspirin + Dipyridamole</td>
<td valign="top" align="center">1 (2%)</td>
</tr>
<tr>
<td valign="top" align="left">CRT, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;None</td>
<td valign="top" align="center">11 (22%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HU</td>
<td valign="top" align="center">11 (22%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IFN-a</td>
<td valign="top" align="center">16 (32%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANA</td>
<td valign="top" align="center">6 (12%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANA+ HU</td>
<td valign="top" align="center">3 (6%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Momelotinib</td>
<td valign="top" align="center">1 (2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Phlebotomy</td>
<td valign="top" align="center">2 (4%)</td>
</tr>
<tr>
<td valign="top" align="left">Hematological Response, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CR/Non-CR</td>
<td valign="top" align="center">31 (62%) / 15 (30%)</td>
</tr>
<tr>
<td valign="top" align="left">Status, n (%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Alive/Deceased</td>
<td valign="top" align="center">44 (88%) / 6 (12%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PV, Polycythemia Vera; ET, Essesntial Thrombocythemia; PMF, Primary Myelofibrosis; ATI, Anti-thrombotic Therapy; CRT, Cell Reduction Therapy; IFN, Interferon; HU, Hydroxyurea; ANA, Anagrelide.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Isolation of Mononuclear Cells From Peripheral Blood and Bone Marrow Samples</title>
<p>Peripheral blood was collected from MPN patients, age-matched HC and young healthy volunteers. The last group was used for the <italic>in vitro</italic> studies. Bone marrow aspirates were collected from seven <italic>JAK2-</italic>mutated MPN patients (ET = 1; PV = 5; PMF = 1).</p>
<p>Peripheral blood mononuclear cells (PBMC) and bone marrow mononuclear cells (BMNC) were isolated from venous blood and bone marrow aspirate, respectively, by density gradient as described elsewhere (<xref ref-type="bibr" rid="B33">33</xref>). The cells were then used immediately or cryopreserved.</p>
</sec>
<sec id="s2_3">
<title>Phenotyping PLT-Bound Immune Cells</title>
<p>Frequencies of PLT-binding to lymphocytes, as well as the activation status of bound PLT were detected using flow cytometry, an established technique to detect these aggregates (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Platelet-bound T cells were evaluated in fresh and cryopreserved PMBC from MPN patients, and age-matched HC (Panel I, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>). A similar setup was used to compare PLT-binding in isolated PBMC and BMNC from MPN (Panel II, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>).</p>
<p>E<italic>x vivo</italic> PLT-binding to antigen-specific T cells in MPN and HC was evaluated in 10 x 10<sup>6</sup> PBMC stained with CMV- and FLU-loaded MHC-multimers and analyzed by flow cytometry (Panel III, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>). See the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Material</bold>
</xref> for the detailed methodology.</p>
</sec>
<sec id="s2_4">
<title>Isolation of Platelets</title>
<p>Blood was collected from young healthy volunteers who had not taken any drugs known to affect PLT function, for at least 14 days prior to the study. Venous peripheral blood was collected into acid citrate dextrose solution A tubes (Greiner Bio-One) and the PLT isolation procedure was adapted from Radomski et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>). Detailed methodology is available in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Material</bold>
</xref>.</p>
</sec>
<sec id="s2_5">
<title>PLT-Binding to Stimulated CD8 T Cells</title>
<p>CD8 T cells from young healthy volunteers were stimulated with different concentrations of an anti-OKT-3 antibody or CMV-peptide. For OKT-3 stimulation, CD8 T cells were first isolated from PBMC using the MagniSort&#x2122; Human CD8 T cell Enrichment Kit (Thermofisher) following the manufacturer instructions. The cells were rested overnight, at 37&#xb0;C and 5% CO<sub>2</sub>, and stimulated for three days with high (500 ng/ml), intermediate (20 ng/ml) or low (0.5 ng/ml) concentrations of plate-coated anti-CD3 (clone: OKT-3, Thermofisher), at a cell density of 1 x 10<sup>6</sup> cells/ml. For CMV-peptide activation 4 - 5 x 10<sup>6</sup> PBMC/ml from HLA-A2 positive healthy volunteers were stimulated with 20 nM CMV peptide and 120 U/ml IL-2 for seven days, followed by an additional overnight restimulation. After the activation period, the stimulated cells were co-cultured with allogenic PLT and PLT-binding was analyzed by flow cytometry (OKT-3: Panel IV; CMV-MHC-multimer staining: Panel V; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_6">
<title>Lymphocyte and PLT Co-Culture</title>
<p>OKT-3 stimulated CD8 T cells, CMV-stimulated PBMC and gp100-transduced (gp100<sup>+</sup>) T cells (see transduction protocol in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Material</bold>
</xref>) were co-cultured with allogenic PLT for one hour, at a PLT to lymphocyte ratio of 100: 1. The co-cultures were washed twice to remove any unbound PLT, before proceeding. To compare the sole effect of platelet-derived molecules on T cell functionality, gp100<sup>+</sup> T cells were also co-cultured with PLT supernatant (sPLT), for one hour before removal by centrifugation.</p>
</sec>
<sec id="s2_7">
<title>MHC-Multimer Staining</title>
<p>PLT-binding to antigen-specific T cells was evaluated by tetramer staining, in MPN patients and after PLT-lymphocyte co-culture. Empty loadable-MHC multimers (HLA-A*02:01; The Tetramer Shop) were loaded with HIV, CMV or FLU peptides, as described by Sanai et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>). See the supplemental material for the detailed protocol.</p>
</sec>
<sec id="s2_8">
<title>
<italic>In Vitro</italic> Characterization of PLT-Bound T Cell Function</title>
<p>PBMC from MPN patients were stimulated with OKT-3 for five hours or five days, to compare, respectively, the cytokine release and proliferation of PLT-bound and PLT-free T cells. Cytokine release and proliferation were evaluated using intracellular staining and CellTrace<sup>&#xae;</sup> violet (CTV) (Thermofisher), respectively. Furthermore, gp100<sup>+</sup> T cells were co-cultured with a melanoma cancer cell line (FM3) in the presence or absence of PLT, and real-time tumor cytotoxic capacity of T cells was evaluated with the xCELLigence system (Agilent, USA). Detailed methodology is available in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Material</bold>
</xref>.</p>
</sec>
<sec id="s2_9">
<title>Statistical Analysis</title>
<p>Statistical analyses were performed using unpaired or paired T tests for comparisons of two groups, and unpaired non-parametric Kruskal-Wallis test for comparison of more than two groups. Single and multiple linear regression were used in the correlation studies, after applying a logarithmic transformation to the frequencies of PLT-bound lymphocytes. R<sup>2</sup> and p values were calculated for each linear regression. All statistical tests were performed with a two-sided 95% confidence interval, at the 0.05 significant level, and the analyses were conducted using GraphPad software (version 8).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>MPN Patients Have Increased Frequencies of PLT-Bound CD8 T Cells Compared to HC</title>
<p>This study investigated the presence and frequencies of PLT-bound lymphocytes in MPN patients. The percentage of circulating PLT-bound lymphocytes in patients (N=50) and age-matched HC (N=24) was evaluated using flow cytometry. Since MPN patients display increased PLT activation, and act-PLT are thought to bind more avidly than resting PLT (<xref ref-type="bibr" rid="B36">36</xref>), we will focus on the act-PLT binding results.</p>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref> shows a representative plot comparing the frequency of act-PLT-CD8 T cells aggregates in MPN and HC (gating strategy in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;1</bold>
</xref>). Significantly higher frequencies of act-PLT-bound T cells, NK cells, and CD3<sup>+</sup>/CD56<sup>+</sup> cells were observed in the patients compared to the HC (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Furthermore, MPN presented with significantly higher percentages of act-PLT bound CD8, CD4, and DN T cells than the control group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Similar results were obtained for the frequencies of total-PLT (tPLT)-bound lymphocytes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;2</bold>
</xref>). The results described above were obtained from cryopreserved samples. Therefore, the frequency of PLT-bound immune cells was also analyzed in freshly isolated and cryopreserved PBMC from MPN patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;3</bold>
</xref>). This comparison showed no significant differences between the samples. Comparison of the parent immune populations revealed no biologically relevant differences in the frequencies of live cells (mean<sub>(MPN)</sub> = 99.9% vs mean<sub>(HC)</sub> = 99.4%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;4A</bold>
</xref>). The frequency of NK cells showed a decreasing trend (mean<sub>(MPN)</sub> = 8% vs mean<sub>(HC)</sub> = 14%; p = 0.095) in MPN patients, but no differences were observed in the frequencies of T cells, B cells, CD3<sup>+</sup>/CD56<sup>+</sup> cells, or T cell subsets (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>MPN patients have increased frequencies of circulating act-PLT bound cells compared to HC. Cryopreserved PBMCs from 50 patients with chronic myeloproliferative neoplasms (MPN) and 24 age-matched healthy controls (HC) were analyzed using flow cytometry (Panel I, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>). Activated-Platelet (act-PLT) binding populations were identified by their concurrent expression of PLT markers (CD41a<sup>+</sup>/CD62P<sup>+</sup>) and immune specific markers, <italic>i.e.</italic>, CD3<sup>+</sup>/CD56<sup>-</sup> (T cells), CD3<sup>-</sup>/CD19<sup>+</sup> (B cells), CD3<sup>-</sup>/CD56<sup>+</sup> (NK cells), CD3<sup>+</sup>/CD56<sup>+</sup> (CD3<sup>+</sup>/CD56<sup>+</sup> cells) CD3<sup>+</sup>/CD8<sup>+</sup> (CD8 T cells), CD3<sup>+</sup>/CD4<sup>+</sup> (CD4 T cells) and CD3<sup>+</sup>/CD8<sup>-</sup>/CD4<sup>-</sup> (DN T cells). <bold>(A)</bold> Representative plots, comparing the frequency of act-PLT bound CD8 T cells in MPN and HC. CD41a and CD62P fluorescence minus one (FMO) were used as control. (See <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;1</bold>
</xref> for detailed gating strategy). Frequencies of act-PLT binding to <bold>(B)</bold> the main lymphocytic populations and <bold>(C)</bold> the T cell subsets were compared in HC (&#x2022;) and MPN patients (&#x2666;). <bold>(D)</bold> These frequencies were also compared across the different diagnoses within the patient population &#x2013; essential thrombocythemia (ET; n = 11), Polycythemia Vera (PV; n = 11), Pre-myelofibrosis (PreMF; n = 7), and primary myelofibrosis (PMF; n = 17) - and including HC and asymptomatic individuals carrying a low <italic>CALR</italic>-mutant allelic burden (<italic>CALR-</italic>mutated CHIP; n = 4). All frequencies are shown as percentage of parent population. The horizontal lines and error whiskers represent the mean &#xb1; standard deviation of the mean, whereas boxplots follow the Tukey method. Unpaired T test was used to compare MPN patient and HC, whereas Kruskal-wallis test was used to compare the different mutation groups with n &#x2265; 6. Differences were considered significant when p &lt; 0.05, as indicated with asterisks (*p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001, and ****p &lt; 0.0001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g001.tif"/>
</fig>
<p>Analysis based on MPN diagnosis revealed that act-PLT-immune cell aggregates were elevated in advanced-stage patients (<italic>i.e.</italic>, PreMF and PMF) compared to HC (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>), particularly the PreMF patients. Although no statistics were performed due to the small sample size. the four <italic>CALR</italic>-mutated CHIP individuals had frequencies of act-PLT -CD8 T cells and -CD3<sup>+</sup>/CD56<sup>+</sup> cells comparable to patients. The frequencies of act-PLT- (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;5A</bold>
</xref>) and tPLT- (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;5B</bold>
</xref>) bound lymphocytes were also compared across the different mutations: <italic>CALR</italic>-mutated patients exhibited increased frequencies of PLT-bound lymphocytes compared to HC and <italic>JAK2</italic>-mutated patients, although significance was not reached for the <italic>CALR-JAK2</italic> comparison. The two <italic>MPL</italic>-mutated patients presented with high levels in all PLT-bound populations, compared to other patient groups and HC. Lastly, triple-negative-MPN patients (n=3) exhibited frequencies PLT binding comparable to the HC population. However, a larger study population would be necessary to verify the results in MPL and triple-negative-MPN patients. Stratification according to cytoreductive therapy (CRT) revealed that patients receiving therapy other than IFN&#x3b1; (Not IFN&#x3b1;, n = 22) presented with the highest levels of act-PLT-lymphocyte aggregates (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;5C</bold>
</xref>).</p>
<p>Overall, these results point towards elevated frequencies of tPLT and act-PLT -bound lymphocytes, especially PLT -CD8 T cell, -CD3/CD56 cell and -NK cell aggregates, in MPN compared to the controls. Furthermore, <italic>CALR</italic>-mutated patients, patients receiving CRT other than IFN&#x3b1;, and patients with advanced disease tend to have the highest frequencies of these aggregates.</p>
</sec>
<sec id="s3_2">
<title>PLT Count Correlates With the Frequencies of Circulating PLT-CD8 T Cell Aggregates in <italic>JAK2</italic> but Not <italic>CALR</italic> -Mutated MPN</title>
<p>To further explore potential clinical factors affecting PLT-binding in MPN patients, we investigated the association between these factors and the frequencies of act-PLT bound cells. To reduce the high variability seen for small subgroups, only <italic>CALR-</italic> or <italic>JAK2-</italic> mutated MPN were included.</p>
<p>PLT count accounted for 19% of the variability in the frequency of act-PLT bound NK cells (R<sup>2</sup> = 0.19; p = 0.004), while also correlating with act-PLT binding to T cells (R<sup>2</sup> = 0.15; p = 0.012), CD8 T cells (R<sup>2</sup> = 0.14; p = 0.013), CD4 T cells (R<sup>2</sup> = 0.16; p = 0.009) and DN T cells (R<sup>2</sup> = 0.14; p = 0.013) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The driver mutation strongly correlated with a higher act-PLT binding to CD3<sup>+</sup>/CD56<sup>+</sup> (R<sup>2</sup> = 0.24; p=0.001) and CD8 T cells (R<sup>2</sup> = 0.19; p = 0.004), with <italic>JAK2</italic>-mutated patients displaying lower frequencies of aggregates compared to <italic>CALR</italic>-mutant MPN (regression models in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;2</bold>
</xref>). Finally, antithrombotic therapy (ATT), CRT and diagnosis showed some degree of correlation with act-PLT-binding to lymphocytes. However, the small sample sizes within each group prevents strong conclusions.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>PLT Count correlates with act-PLT-binding to CD8 T cells in <italic>JAK2</italic>- but not <italic>CALR</italic>-mutated MPN patients. 41 MPN patients harboring either <italic>CALR</italic> or <italic>JAK2</italic> mutations were used for regression analysis. <bold>(A)</bold> The correlation between clinical characteristic (column factors) and the frequencies of activated-PLT (act-PLT) bound cells was analyzed, using single linear regressions. The goodness of fit (R<sup>2</sup> value) for each linear regression model is shown as a heatmap (0 &lt; R<sup>2</sup> &lt;0.3). The models were considered relevant when R<sup>2</sup> &gt; 0.10 and p-value &lt; 0.05; <bold>(B)</bold> The correlation between PLT count and the frequency of act-PLT bound CD8 T cells was analyzed independently for <italic>CALR</italic>- and <italic>JAK2</italic>- mutated patients. Dotted lines represent the 95% confidence bands of the best-fit line. The frequencies of act-PLT-bound CD8 T cells were assessed after stratifying the patient population by <bold>(C)</bold> mutation (<italic>CALR</italic>: n = 25; <italic>JAK2</italic>: n = 16) and cytoreductive therapy (CRT) therapy. Patients either did not receive any CRT therapy (None, empty bars, n = 6), received IFN&#x3b1; therapy (IFN&#x3b1;, light-grey bars, n = 15), or received CRT other than IFN&#x3b1; (Not IFN &#x3b1;, dark-grey bars, n = 20). <bold>(D)</bold> Patients were stratified by hematological response &#x2013; non-complete response (Non-CR; blue bars; n = 12) and complete response (CR; empty bars; n = 29). The frequencies of act-PLT bound T cells, CD8 T cells, CD4 T cells and DN T cells were compared within the stratified MPN population. All frequencies are shown as percentage of parent population, and boxplots follow the Tukey method. Kruskal-wallis test or multiple unpaired T test were used to compare the populations with n &#x2265; 6. Differences between groups were considered significant when p &lt; 0.05. Asterisks represent *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001, and ****p &lt; 0.0001. # means the p value ranges from 0.05 &lt; p &lt; 0.1. PLT, Platelets; MPN, Chronic Myeloproliferative Neoplasms; AAT, Anti-thrombotic Therapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g002.tif"/>
</fig>
<p>Multivariate linear regression analyses showed that PLT count and mutation type account for over 30% of the variability seen in the frequency of act-PLT-bound CD8 T cells (R<sup>2</sup> = 0.30; p = 0.001). Interestingly, PLT count did not correlate with the frequency of act-PLT-CD8 T cell aggregates in patients with <italic>CALR</italic> mutation (R<sup>2</sup> = 0.07; p = 0.209) but had a strong association in <italic>JAK2</italic>-mutated MPN (R<sup>2</sup> = 0.37; p = 0.013) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Separating patients by mutation and CRT showed that patients receiving IFN&#x3b1; revealed higher act-PLT-bound CD8 T cells in <italic>CALR</italic>- than <italic>JAK2-</italic> mutated patients (23% vs. 6%; p = 0.029) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). These results should be interpreted with caution due to the limited sample sizes in the IFN&#x3b1;-receiving <italic>CALR</italic>-mutated group (n = 4). Lastly, MPN patients with and without a complete hematological response showed similar levels of act-PLT immune cell aggregates (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>).</p>
<p>The regression analysis was also performed for the frequencies of tPLT-bound lymphocytes, which yielded similar results (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figures&#xa0;6A&#x2013;B</bold>
</xref>; Regression models in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;2</bold>
</xref>). Interestingly, the mutant allele burden showed a significant association with tPLT-binding to CD8 T for <italic>JAK2</italic>- (R<sup>2</sup> = 0.28; p = 0.033) but not <italic>CALR-</italic> (R<sup>2</sup> = 0.02; p = 0.540) mutated patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;6C</bold>
</xref>). Although, this correlation did not stem from an association between the two characteristics (R<sup>2</sup> = 0.03; p = 0.265; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;5D</bold>
</xref>), the allele burden was significantly higher in <italic>CALR</italic>- compared to <italic>JAK2</italic>- mutated MPN (36% vs 10%; p = 0.016; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;6E</bold>
</xref>).</p>
<p>Taken together, our results show that <italic>JAK2</italic> mutation strengthens the correlation between PLT count and the frequency of PLT-CD8 T cell aggregates. Additionally, <italic>JAK2</italic> mutations also increases the correlation between the mutant allele burden and tPLT-binding to CD8 T cells.</p>
</sec>
<sec id="s3_3">
<title>Comparable Frequencies of PLT-Immune Cell Aggregates in the Peripheral Blood and Bone Marrow of MPN</title>
<p>Since the transformed cells in MPN reside in the bone marrow and PLT-bound T cells in the bone marrow may affect the local tumor-specific immune response, we analyzed the frequencies of PLT-lymphocyte aggregates in freshly isolated PBMC and BMNC from MPN patients. No significant differences in the frequencies of act-PLT-bound (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) or tPLT-bound (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) lymphocytes were observed between the two populations. Nevertheless, some patients displayed twice the frequencies of act-PLT-bound BMNC compared to act-PLT-bound PBMC. No differences were registered in the parent immune populations between the groups (data not shown). Therefore, our results suggest that peripheral blood and bone marrow of MPN patients display similar frequencies of PLT-immune cell aggregates.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>BMNC and PBMC show comparable frequencies of PLT-bound cells in MPN patients. PBMC (black dots and empty bars) and BMNC (grey dots and grey filled bars) were isolated from seven <italic>JAK2-</italic>mutated MPN patients (ET = 1; PV = 5; PMF = 1). <bold>(A)</bold> activated-PLT (act-PLT) bound lymphocytes and <bold>(B)</bold> total (tPLT)- bound lymphocytes were evaluated using flow cytometry (Panel II, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table&#xa0;1</bold>
</xref>). The graph shows the frequencies of act-PLT-bound cells for different lymphocytic populations and all frequencies are shown as percentage of parent population. The bars represent the median frequency for each population. Multiple unpaired T tests were used to compared PLT bound cells in PBMC and BMNC samples, and differences were considered significant when p &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>PLT Bind Preferentially to Antigen-Experienced CD8 T Cells</title>
<p>To probe into the phenotype of PLT-bound T cells, PBMC from healthy volunteers were stimulated with different concentrations of OKT-3, co-cultured with allogenic PLT and analyzed by flow cytometry (N = 6, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref> shows the mean distribution of the differentiation stages within the PLT-free and PLT-bound CD8 T cells, after low OKT-3 stimulation. PLT-bound CD8 T cells had a significantly higher frequency of memory cells (CD45RO<sup>+</sup>) than PLT-free CD8 T cells (26% vs 40%, p = 0.036) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), while PLT-free CD8 T cells harbored primarily a na&#xef;ve (CCR7<sup>+</sup>/CD45RO<sup>-</sup>) phenotype (58% vs 44%, p = 0.042). Similar trends were observed in higher dose OKT-3, as well as in unstimulated cells (data not shown). No differences were observed in the frequencies of activated CD8 T cells (CD137<sup>+</sup>) within the PLT-free or PLT-bound populations (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>PLTs bind preferentially to antigen-specific CD8 T cells, <italic>in vitro</italic> and <italic>ex vivo</italic>. Isolated CD8 T cells from healthy donors were stimulated with OKT-3 (20 or 0.5 ng/ml) for three days. Afterwards, CD8 T cells were co-cultured with PLT for one hour (1:100 ratio), and PLT-binding was assessed by flow cytometry (Panel IV, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table 1</bold>
</xref>). <bold>(A)</bold> The frequency of Na&#xef;ve (CCR7<sup>+</sup>/CD45RO<sup>-</sup>), Memory (CD45RO<sup>+</sup>) and terminally differentiated effector (TEMRA; CCR7<sup>-</sup>/CD45RO<sup>-</sup>) CD8 T cells is shown as the mean value of all donors (N = 6) in a pie chart. The percentages of <bold>(B)</bold> na&#xef;ve, memory and TEMRA as well as <bold>(C)</bold> CD137<sup>+</sup> cells are shown for each individual donor for PLT-bound (empty bars) and PLT-free (grey bars) CD8 T cells. Unpaired T test was used to compare the PLT-free and PLT-bound populations. Next, PBMC from healthy donors were stimulated twice with a CMV peptide. PBMC were co-cultured with PLT as described above and PLT-binding to CMV-specific CD8 T cells was evaluated using flow cytometry (Panel IV, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Table 1</bold>
</xref>). Frequencies of PLT-binding to <bold>(D)</bold> Na&#xef;ve (empty bar), Non-Na&#xef;ve tetramer<sup>-</sup> (Non-Na&#xef;ve Tet<sup>-</sup>; CMV-MHC-tetramer<sup>-</sup> and exclusion of CCR7<sup>+</sup>/CD45RO<sup>-</sup>; light grey bar) and Tetramer<sup>+</sup> (Tet<sup>+</sup>; dark gray bar), and <bold>(E)</bold> non-activated (CD137<sup>-</sup>; empty bar) and activated (CD137<sup>+</sup>; grey bar) CD8 T cells were compared using paired non-parametric ANOVA analysis or T test, respectively (n = 6). <bold>(F)</bold> PBMC from age-matched healthy controls (HC; N = 8) and MPN patients (N = 10) were stained for Flu and CMV MHC-I tetramer, and the circulating frequencies of PLT-bound to MHC-tetramer negative (Tet<sup>-</sup>; &#x2022;) and virus-specific (Tet<sup>+</sup>; <sup>&#x25aa;</sup>) CD8 T cells were analyzed by flow cytometry (Panel V). Paired T tests were used to compare unspecific and virus-specific frequencies, whereas unpaired T test was used to compare the virus-specific populations in HC and MPN patients. All frequencies are shown as percentage of parent population and the boxplots represent the median &#xb1; interquartile range of the populations, while the whiskers extend to the maximum and minimum values. Differences were considered significant when p&lt;0.05, as indicated with asterisks (*p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001, and ****p &lt; 0.0001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g004.tif"/>
</fig>
<p>Next, we examined the PLT capacity to bind antigen-experienced CD8 T cells. PBMC from healthy volunteers were stimulated <italic>in vitro</italic> with a CMV peptide, co-cultured with PLT and analyzed by flow cytometry (N=6) (gating strategy in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;7</bold>
</xref>). We compared the frequencies of PLT-bound na&#xef;ve, non-na&#xef;ve cells not expressing MHC-tetramer (non-na&#xef;ve tetramer<sup>-</sup>) and CMV-specific (tetramer<sup>+</sup>) CD8 T cells (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). PLT-binding was highest in CMV-specific CD8 T cells (mean = 63%) compared to the non-na&#xef;ve tetramer<sup>-</sup> (mean = 42%; p = 0.026) and na&#xef;ve (mean = 14%; p = 0.002) groups. Additionally, differences were observed between the na&#xef;ve and the non-na&#xef;ve tetramer<sup>-</sup> populations (p = 0.0001), and a significant increase was found in PLT-binding to activated CD8 T cells compared to non-activated cells (mean of differences = 30%; p = 0.009; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>).</p>
<p>Lastly, circulating PLT-bound CMV- and influenza- specific CD8 T cells were evaluated in <italic>ex vivo</italic> unstimulated cells from MPN patients and age-matched HC (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). The frequency of PLT-bound virus-specific CD8 T cells (tetramer<sup>+</sup>) was significantly increased compared to tetramer<sup>-</sup> CD8 T cells, in MPN (mean of differences = 13%; p = 0.0096) and HC (mean of differences = 14%; p &lt; 0.0001) groups. PLT-binding to virus-specific CD8 T cells was also significantly increased in MPN patients compared to the HC group (MPN = 52% vs. HC = 25%; p = 0.0018).</p>
<p>Taken together, these results show that PLT have a clear preference to bind antigen-experienced CD8 T cells. Importantly, similar analyses in MPN patients show this feature too.</p>
</sec>
<sec id="s3_5">
<title>PLT-Binding Impacts the Proliferation and Killing Capacity of CD8 T Cells in MPN</title>
<p>To investigate the impact of PLT-binding on CD8 T cell function, proliferation and cytokine release were evaluated in PBMC from MPN patients, after stimulation with OKT-3. <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref> shows a representative plot of PLT-bound and PLT-free CD8 T cell proliferation, after a 5-day OKT-3 stimulation. CD8 T cell proliferation is significantly reduced in PLT-bound compared to PLT-free cells in MPN patients (N=6, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>), with PLT-bound cells undergoing less divisions than PLT-free CD8 T cells. Conversely, after five-hour OKT-3 stimulation, the expression of IFN&#x3b3;, TNF&#x3b1; and CD107a was increased in PLT-bound CD8 cells compared to the PLT-free population (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<italic>In vitro</italic> PLT-bound CD8 T cells from MPN patients show decreased proliferation compared to PLT-free CD8 T cells. Cryopreserved samples from six MPN were stimulated with OKT-3 (0.5ng/ml) for five hours (intracellular staining) or six days (Proliferation Assay). For the proliferation assay, PBMC were stained with CellTrace Violet<sup>&#xae;</sup> (CTV) before OKT-3 stimulation. <bold>(A)</bold> A representative plot of the proliferation cycles in PLT-free (black) and PLT-bound (red) CD8 T cells is shown. <bold>(B)</bold> The frequency of proliferating PLT-free and PLT-bound CD8 T cells, CD4 T cells and total T cells are shown (n = 6) after five-day stimulation. <bold>(C)</bold> The release of interferon-gamma (IFN-&#x3b3;), tumor necrosis factor-alpha (TNF-&#x3b1;) and Granzyme B (GrzB), as well as the expression of CD107a were compared in PLT-free and PLT-bound CD8 T cells (n = 6). All frequencies are shown as percentage of parent population. Paired T tests were used to compare PLT-free and PLT-bound frequencies and differences were considered significant when p &lt; 0.05, as indicated with asterisks (*p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001, and ****p &lt; 0.0001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g005.tif"/>
</fig>
<p>In a pilot study, we co-cultured gp100<sup>+</sup>-transduced T cells with PLT, before assessing the cytokine release and cytotoxicity of these aggregates against the gp100-expressing melanoma cell line FM3. Over an 80-hour period, CD8 T cells showed a reduction in cytolysis in the condition containing PLT compared to T cells alone (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Since this system cannot distinguish between PLT-bound and PLT-free within the same culture, a condition containing gp100<sup>+</sup> T cells with PLT supernatant (sPLT) was added, which showed the highest cytolysis levels. Killing time 40 (KT40) and KT50 provided information on the number of hours necessary for effector cells to kill 40-50% of FM3. While KT50 for gp100<sup>+</sup> T cells alone was 50.3 hours, the conditions containing PLT and sPLT registered 63.5 and 74.7 hours, respectively (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The cytokine release analysis after a 5-day co-culture with PLT and FM3 showed that PLT-bound CD8 T cells decreased the expression of IFN-&#x3b3; and CD107a and increased Granzyme B, compared to PLT-free cells (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>After prolonged PLT exposure, <italic>in vitro</italic> PLT-bound CD8 T cells show impaired killing capacity compared to PLT-free CD8 T cells. Gp100-transduced T cells were co-cultured with PLT (ratio 100:1) or PLT-supernatant (sPLT) for 1h, after which unbound PLT were washed off. <bold>(A)</bold> The xCELLigence system was used to evaluate FM3 cytolysis after co-culture with transduced T cells alone (GP100<sup>+</sup>T cells, green), transduced T cells + PLT (GP100<sup>+</sup> T cells + PLT, red) or transduced T cells + PLT-supernatant (GP100<sup>+</sup> T cells + sPLT, blue) at an effector to target ratio of 1.5: 1 (dotted lines) or 0.75:1 (full lines), for 80 hours (N = 1). <bold>(B)</bold> Killing time 40 (KT40) and 50 (KT50) (<italic>i.e.</italic>, hours until 40% or 50% FM3 cells were killed, respectively) was calculated for all conditions at a ratio of 0.75:1. <bold>(C)</bold> PLT were co-cultured with Gp100-transduced T cells for 48 hours, followed by a 48-hour co-culture with FM3 cell line. The cytokine release of interferon-gamma (IFN-&#x3b3;), tumor necrosis factor-alpha (TNF-&#x3b1;) and Granzyme B (GrzB), as well as CD107a were compared in PLT-free and PLT-bound CD8 T cells (n = 1). Due to the small sample size statistical analyses were not performed (N = 1).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-866610-g006.tif"/>
</fig>
<p>These <italic>in vitro</italic> results point towards a decrease in the proliferation, cytokine release and cytotoxic capacity of CD8 T cells when exposed to prolonged/chronic PLT-binding.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our results show that PLT count is the most relevant factor associated with PLT-binding. Additionally, we show an association between driver mutation and PLT-binding, with <italic>JAK2</italic>-mutants displaying lower levels of PLT-CD8 T cell aggregates than <italic>CALR</italic>-mutants. Interestingly, in <italic>JAK2</italic>-mutated MPN, the PLT count is highly correlated to the PLT binding, whereas no association is seen in <italic>CALR</italic>-mutants. These data are quite surprising, as both mutations confer aberrant activation of the thrombopoietin receptor leading to exacerbated JAK-STAT signaling (<xref ref-type="bibr" rid="B2">2</xref>). Hence, we expected that PLT binding would be independent of the driver mutation. As both the <italic>JAK2-</italic> and <italic>CALR</italic>- mutations have been identified in the lymphoid compartment (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>), the differences in PLT binding cannot be explained by different occurrences of driver mutations in the lymphoid cells. Instead, these data could indicate that even though the <italic>CALR</italic>-mutations activate the JAK-STAT pathway, it may also facilitate aberrant activation of other pathways, which are not triggered by the <italic>JAK2<sup>V617F</sup>
</italic>-mutation. An increased mutant allele burden correlates with PLT-binding in <italic>JAK2</italic> but not <italic>CALR</italic> mutated patients, indicating that the PLT-T-cell binding mechanisms facilitated by the two mutations may be different. Lastly, we find it noteworthy that the triple-negative group shows low levels of PLT-binding, whereas MPN with <italic>MPL</italic> mutations &#x2013; another thrombopoietin receptor mutation - exhibited high binding levels. These data further support our hypothesis that the increased PLT-T-cell interaction depends on aberrant activation of JAK-STAT signaling, as well as other pathways specific to the thrombopoietin receptor. Nevertheless, the small sample size in the triple-negative and the <italic>MPL</italic>-mutated populations prevents stronger conclusions.</p>
<p>Most MPN patients receive ATT and/or CRT drugs to reduce the peripheral blood counts and decrease the risk of thrombosis. Thus, we speculated that CRT could be correlated to decreased PLT-binding. However, this was only observed in patients with <italic>JAK2</italic>-mutated MPN for whom treatment with IFN&#x3b1; decreased the PLT-binding to CD8 T cells. This interesting finding supports the theory that IFN&#x3b1; enhances the tumor-specific immune response in patients (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B39">39</xref>). As MPN is an inflammatory disease and the PLT-binding could be mediated by the high levels of inflammation (<xref ref-type="bibr" rid="B36">36</xref>), it would be interesting to investigate PLT-binding in MPN patients treated with the clinically approved JAK1/2 inhibitor ruxolitinib, as this drug is a highly anti-inflammatory agent (<xref ref-type="bibr" rid="B40">40</xref>). Despite the encouraging results, the validation and understanding of our data require a bigger and more homogenous cohort.</p>
<p>As the bone marrow in MPN represents the actual tumor site, it was important to assess PLT-binding in BMNC. It may be challenging to estimate/compare the frequencies of PLT-immune cell aggregates in the peripheral blood and bone marrow, due to fibrosis and PB contamination. However, most of the patients included in the comparison of platelet-binding in the periphery and bone marrow are early stage PV (N=5) and ET (N=1) who do not present with fibrosis. Here we showed no difference in the frequency of aggregates in the peripheral blood and bone marrow samples. However, the small sample size could be masking a significant difference between the two groups, particularly for PLT-bound CD8 T cells and CD3<sup>+</sup>/CD56<sup>+</sup> cells, where several patients display a higher frequency of aggregates at the tumor site compared to the peripheral blood.</p>
<p>Here we characterized the PLT-bound CD8 T cell aggregates <italic>in vitro</italic> after stimulation with OKT-3 or CMV-peptide. Our results strongly suggest a selective PLT-binding to memory and antigen-specific CD8 T cells. Moreover, our <italic>in vitro</italic> data showed a decrease in PLT-CD8 T cell proliferation in MPN samples, as well as a reduction in cytokine release and killing capacity of CD8 T cells in the presence of PLT. Previous studies have also shown that PLT-binding decreases T cell proliferation (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>), but, to our knowledge, this is the first report on the effect of PLT-binding on T cell killing efficiency. Although cytotoxic CD8 T cells are often the primary mediators of anti-tumor specific cytolysis, we have previously shown low CALR-specific CD8 T cell-responses in MPN. Instead, these responses seem to be primarily mediated by CD4 T cells (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). The high PLT-binding to CD8 T cells could explain these results. However, these hypotheses would require further investigation.</p>
<p>Interestingly, <italic>CALR</italic>-mutated CHIP individuals display a PLT-binding frequency close to that of MPN patients. This group was suggested to be in an immunoediting step of cancer elimination: they can mount strong CALR-specific responses but cannot eliminate all mutant cells (<xref ref-type="bibr" rid="B8">8</xref>). In that context, we suggest that PLT could be a factor preventing the full elimination of cancer cells by binding CD8 T cells and other lymphocytes, which could otherwise potentiate an effective anti-tumor immune response. Accordingly, we show high PLT-binding to NK cells in MPN patients compared to HC. NK cells have been shown to protect from metastasis formation, whereas PLT-binding to cancer cells allows these aggregates to evade NK cell-mediated killing (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>). It is tempting to suggest that PLT can also bind NK cells, thus shielding the tumor cells from NK cell-mediated killing.</p>
<p>There is a strong association between MPN and autoimmune disorders, with one disease increasing the susceptibility to the other (<xref ref-type="bibr" rid="B30">30</xref>). Zamora et&#xa0;al. has shown that rheumatoid arthritis patients with a good prognosis have higher PLT-binding CD4 T cells than patients with worse prognosis and healthy controls (<xref ref-type="bibr" rid="B25">25</xref>), suggesting that PLT-binding helps prevent the flared immune reaction against self. Our <italic>in vitro</italic> data on proliferation and cytokine secretion upon PLT binding &#x2013; showing less proliferation but more cytokine secretion &#x2013; seem counterintuitive in this regard. However, Starossom et&#xa0;al. proposed a model for the PLT-binding to CD4 T cells in multiple sclerosis: during acute inflammation platelets can support CD4 T cells and promote their Th1/Th17 differentiation; once chronic inflammation sets in, exhausted platelets bind CD4 T cells and hamper the T cell function (<xref ref-type="bibr" rid="B27">27</xref>). This model helps explain our conflicting cytokine release data: when T cell were co-cultured with PLT for short periods, IFN&#x3b3; and TNF&#x3b1; release increased; when PLT were co-cultured for over a 48-hour period, the cytokine release was decreased. Taken together, these data support the hypothesis that the high PLT-binding to T cells in chronically inflamed MPN may be impairing the CALR- and JAK2-specific immune responses, and thus allowing the disease to progress unrestrained.</p>
<p>The mechanism mediating the immune suppression by platelet-binding is not fully understood. TGF-&#x3b2; has been described as the main platelet-derived factor inhibiting <italic>in vitro</italic> T cell proliferation and cytokine release as well as <italic>in vivo</italic> tumor cell killing: Rachidi et&#xa0;al. have shown, in a murine model, an almost complete abrogation of tumor killing capacity by T cells in the presence of platelets supernatant (<xref ref-type="bibr" rid="B23">23</xref>). Therefore, one cannot exclude that the added effect of platelet-binding on T cell function may simply be the result of proximity. Nevertheless, Zamora et&#xa0;al. demonstrated that the platelet-binding immune suppression is mediated <italic>via</italic> P-selectin ligation to P-selecting glycoprotein ligand (PSGL)-1 on the surface of lymphocytes (<xref ref-type="bibr" rid="B26">26</xref>). Other studies have shown a negative effect of PSGL-1 signaling on T cell function (<xref ref-type="bibr" rid="B44">44</xref>), and more recently PSGL-1 was proposed as a new immune checkpoint (<xref ref-type="bibr" rid="B45">45</xref>). Studies on PSGL-1<sup>-/-</sup> murine models have not only revealed an increase in proliferation, but also shown that P-selectin is the major receptor for PSGL-1 in activated T cells (<xref ref-type="bibr" rid="B44">44</xref>). This is in line with our <italic>in vitro</italic> and <italic>ex vivo</italic> results that platelet-binding occurs preferentially in memory and antigen-specific CD8 T cells. Future research evaluating anti-tumor T cell function, in the presence of a P-selectin/PSGL-1 blocking antibody would demonstrate the relevance of this interaction in tumor-specific immune responses. Lastly, a recent study has shown that platelets can upregulate their MHC-class I surface expression, which can downregulate CD8 T cell activity (<xref ref-type="bibr" rid="B46">46</xref>). However, gene expression profiling studies in MPN patients have shown a downregulation of human leucocyte antigen (HLA)-I, HLA-II, and HLA-related genes (<xref ref-type="bibr" rid="B47">47</xref>), making this mechanism less likely to occur in MPN.</p>
<p>In conclusion, we have shown that MPN patients have elevated levels of circulating PLT-bound lymphocytes, especially PLT- bound CD8 T and NK cells, compared to age-matched HC. Since advanced disease and the presence of <italic>CALR</italic> mutation associate with the highest frequency of these aggregates, we propose that the driver mutations may modulate PLT binding to lymphocytes differently. <italic>In vitro</italic> and <italic>ex vivo</italic> phenotype analysis of PLT-bound CD8 T cells show a predominant PLT-binding to antigen-experienced CD8 T cells. Further analysis suggests a lower proliferative and cytotoxic capacity of PLT-bound cells compared to PLT-free, as demonstrated by a decrease in PLT-CD8 T cell proliferation as well as a reduction in cytokine release and killing capacity of CD8 T cells in the presence of PLT. Finally, we demonstrate that PLT-binding occurs not only in circulation but also at the tumor site. Therefore, we propose that PLT bind antigen-experienced T cells in MPN and can potentially dampen their reactivity in future encounters with the antigen, thus increasing the risk of recurrent infections and promote tumor immune evasion. Further studies are required to understand the underlying mechanism.</p>
</sec>
<sec id="s5">
<title>Data Statement Availability</title>
<p>The data generated in this study are available upon request from the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Contribution: AMCS, PA, AR, and AR-B performed research. AMCS, MOH, PA, VS, LK, CE, and DF collected data. AS performed the experimental design and data analysis. AMCS and TWK performed statistical analysis. AMCS, MOH, CZ, SV, HH, MHA and PS interpreted the data. AMCS and MOH wrote the manuscript, and PS revised it. SV and PS supervised the study. MOH, MHA and PS designed the study. All authors contributed to the article&#xa0;and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported, in part, by Marie Sk&#x142;odowska-Curie Actions &#x2013; IMMUTRAIN (EU H2020 under the grant agreement number 641549) to PtS. Danish Council for Independent Research (grant no. DFF-1331-00095B), the Danish Cancer Society (grant no. R72-A4396-13-S2), The Danielsen Foundation, Axel Musfeldts fond, Dagmar Marshalls Fond, Else og Mogens Wedell- Wedellsborg Fond, AP M&#xf8;ller Fonden, and Den B&#xf8;hmske Fond.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The 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.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;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>
<title>Acknowledgments</title>
<p>We thank the employees at the national Center for Cancer Immune Therapy for donating blood for this study.</p>
</ack>
<sec id="s10" sec-type="supplementary-material">
<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/fimmu.2022.866610/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.866610/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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