<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2024.1408586</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Stringent monitoring can decrease mortality of immune checkpoint inhibitor induced cardiotoxicity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Wang</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2644272/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Ertl</surname><given-names>Carolin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2284220/overview" />
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Schmitt</surname><given-names>Christina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Hammann</surname><given-names>Linda</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2738319/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Kramer</surname><given-names>Rafaela</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2141414/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Grabmaier</surname><given-names>Ulrich</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1249959/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Sch&#x00F6;berl</surname><given-names>Florian</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1280436/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Anz</surname><given-names>David</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Piseddu</surname><given-names>Ignazio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2624565/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Pesch</surname><given-names>Giulia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Vera</surname><given-names>Julio</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<uri xlink:href="https://loop.frontiersin.org/people/10359/overview" />
</contrib>
<contrib contrib-type="author"><name><surname>Froehlich</surname><given-names>Waltraud</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Weckbach</surname><given-names>Ludwig</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1016334/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Tomsitz</surname><given-names>Dirk</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2701608/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Loquai</surname><given-names>Carmen</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zimmer</surname><given-names>Lisa</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1394172/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Mangana</surname><given-names>Johanna</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Dummer</surname><given-names>Reinhard</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/422297/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Gutzmer</surname><given-names>Ralf</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Klespe</surname><given-names>Kai-Christian</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Stege</surname><given-names>Henner</given-names></name>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Meiss</surname><given-names>Frank</given-names></name>
<xref ref-type="aff" rid="aff15"><sup>15</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1246321/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Thoms</surname><given-names>Kai-Martin</given-names></name>
<xref ref-type="aff" rid="aff16"><sup>16</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Terheyden</surname><given-names>Patrick</given-names></name>
<xref ref-type="aff" rid="aff17"><sup>17</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/786918/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Br&#x00F6;ckelmann</surname><given-names>Paul J.</given-names></name>
<xref ref-type="aff" rid="aff18"><sup>18</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1457638/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Douglas B.</given-names></name>
<xref ref-type="aff" rid="aff19"><sup>19</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1346855/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>French</surname><given-names>Lars E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff20"><sup>20</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Heinzerling</surname><given-names>Lucie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/452059/overview" />
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Dermatology and Allergy, University Hospital, LMU Munich</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>SERIO Registry</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Division of Clinical Pharmacology, Klinikum der Universit&#x00E4;t M&#x00FC;nchen</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Dermatology, Friedrich-Alexander University Erlangen-N&#x00FC;rnberg (FAU) and University Hospital Erlangen (UKER), Deutsches Zentrum Immuntherapie (DZI) and Comprehensive Cancer Center Erlangen-European Metropolitan Area of N&#x00FC;rnberg (CCC-ER-EMN)</institution>, <addr-line>Erlangen</addr-line>, <country>Germany</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Department of Medicine I, LMU University Hospital, LMU Munich</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Department of Neurology, LMU University Hospital, LMU Munich</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff7"><label><sup>7</sup></label><institution>German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff8"><label><sup>8</sup></label><institution>Department of Medicine II, LMU University Hospital, LMU Munich</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<aff id="aff9"><label><sup>9</sup></label><institution>Department of Dermatology, Klinikum Bremen-Ost, Gesundheit Nord gGmbH</institution>, <addr-line>Bremen</addr-line>, <country>Germany</country></aff>
<aff id="aff10"><label><sup>10</sup></label><institution>Department of Dermatology, University Hospital Essen &#x0026; German Cancer Consortium (DKTK), Partner Site Essen/Duesseldorf, &#x0026; National Center for Tumor Diseases (NCT)-West, Campus Essen, &#x0026; Research Alliance Ruhr, Research Center One Health, University Duisburg-Essen</institution>, <addr-line>Essen</addr-line>, <country>Germany</country></aff>
<aff id="aff11"><label><sup>11</sup></label><institution>Department of Dermatology, University Hospital Zurich</institution>, <addr-line>Zurich</addr-line>, <country>Switzerland</country></aff>
<aff id="aff12"><label><sup>12</sup></label><institution>Department of Dermatology, Johannes Wesling Medical Center, M&#x00FC;hlenkreiskliniken (MKK), Ruhr University Bochum</institution>, <addr-line>Minden</addr-line>, <country>Germany</country></aff>
<aff id="aff13"><label><sup>13</sup></label><institution>Skin Cancer Center Hannover, Department of Dermatology and Allergy, Hannover Medical School</institution>, <addr-line>Hannover</addr-line>, <country>Germany</country></aff>
<aff id="aff14"><label><sup>14</sup></label><institution>Department of Dermatology, University Medical Center of the Johannes Gutenberg University Mainz</institution>, <addr-line>Mainz</addr-line>, <country>Germany</country></aff>
<aff id="aff15"><label><sup>15</sup></label><institution>Faculty of Medicine, Department of Dermatology, Medical Center&#x2014;University of Freiburg</institution>, <addr-line>Freiburg</addr-line>, <country>Germany</country></aff>
<aff id="aff16"><label><sup>16</sup></label><institution>Department of Dermatology, University Medical Center Goettingen, Georg-August-University</institution>, <addr-line>Goettingen</addr-line>, <country>Germany</country></aff>
<aff id="aff17"><label><sup>17</sup></label><institution>Department of Dermatology, University of L&#x00FC;beck</institution>, <addr-line>L&#x00FC;beck</addr-line>, <country>Germany</country></aff>
<aff id="aff18"><label><sup>18</sup></label><institution>Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne</institution>, <addr-line>Cologne</addr-line>, <country>Germany</country></aff>
<aff id="aff19"><label><sup>19</sup></label><addr-line>Department of Medicine</addr-line>, <institution>Vanderbilt University Medical Center</institution>, <addr-line>Nashville, TN</addr-line>, <country>United States</country></aff>
<aff id="aff20"><label><sup>20</sup></label><institution>Dr. Philip Frost, Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine</institution>, <addr-line>Miami, FL</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Ippei Shimizu, Juntendo University, Japan</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Kazuko Tajiri, National Cancer Center Hospital East, Japan</p>
<p>Nikhil Agrawal, University of Texas Health Science Center at Houston, United States</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Lucie Heinzerling <email>lucie.heinzerling@med.uni-muenchen.de</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>10</day><month>06</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>11</volume><elocation-id>1408586</elocation-id>
<history>
<date date-type="received"><day>28</day><month>03</month><year>2024</year></date>
<date date-type="accepted"><day>14</day><month>05</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Wang, Ertl, Schmitt, Hammann, Kramer, Grabmaier, Sch&#x00F6;berl, Anz, Piseddu, Pesch, Vera, Froehlich, Weckbach, Tomsitz, Loquai, Zimmer, Mangana, Dummer, Gutzmer, Klespe, Stege, Meiss, Thoms, Terheyden, Br&#x00F6;ckelmann, Johnson, French and Heinzerling.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Wang, Ertl, Schmitt, Hammann, Kramer, Grabmaier, Sch&#x00F6;berl, Anz, Piseddu, Pesch, Vera, Froehlich, Weckbach, Tomsitz, Loquai, Zimmer, Mangana, Dummer, Gutzmer, Klespe, Stege, Meiss, Thoms, Terheyden, Br&#x00F6;ckelmann, Johnson, French and Heinzerling</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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>
<sec><title>Background</title>
<p>Immune checkpoint inhibitor (ICI)-induced myocarditis is a rare immune-related adverse event (irAE) with a fatality rate of 40&#x0025;&#x2013;46&#x0025;. However, irMyocarditis can be asymptomatic. Thus, improved monitoring, detection and therapy are needed. This study aims to generate knowledge on pathogenesis and assess outcomes in cancer centers with intensified patient management.</p>
</sec>
<sec><title>Methods</title>
<p>Patients with cardiac irAEs from the SERIO registry (<ext-link ext-link-type="uri" xlink:href="www.serio-registry.org">www.serio-registry.org</ext-link>) were analyzed for demographics, ICI-related information (type of ICI, therapy line, combination with other drugs, onset of irAE, and tumor response), examination results, irAE treatment and outcome, as well as oncological endpoints. Cardiac biopsies of irMyocarditis cases (<italic>n</italic>&#x2009;&#x003D;&#x2009;12) were analyzed by Nanostring and compared to healthy heart muscle (<italic>n</italic>&#x2009;&#x003D;&#x2009;5) and longitudinal blood sampling was performed for immunophenotyping of irMyocarditis-patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;4 baseline and <italic>n</italic>&#x2009;&#x003D;&#x2009;8 during irAE) in comparison to patients without toxicity under ICI-therapy (<italic>n</italic>&#x2009;&#x003D;&#x2009;4 baseline and <italic>n</italic>&#x2009;&#x003D;&#x2009;7 during ICI-therapy) using flow cytometry.</p>
</sec>
<sec><title>Results</title>
<p>A total of 51 patients with 53 cardiac irAEs induced by 4 different ICIs (anti-PD1, anti-PD-L1, anti-CTLA4) were included from 12 centers in 3 countries. Altogether, 83.0&#x0025; of cardiac irAEs were graded as severe or life-threatening, and 11.3&#x0025; were fatal (6/53). Thus, in centers with established consequent troponin monitoring, work-up upon the rise in troponin and consequent treatment of irMyocarditis with corticosteroids and &#x2013;if required&#x2013;second-line therapy mortality rate is much lower than previously reported. The median time to irMyocarditis was 36 days (range 4&#x2013;1,074 days) after ICI initiation, whereas other cardiotoxicities, e.g. asystolia or myocardiopathy, occurred much later. The cytokine-mediated signaling pathway was differentially regulated in myocardial biopsies as compared to healthy heart based on enrichment Gene Ontology analysis. Additionally, longitudinal peripheral blood mononuclear cell (PBMC) samples from irMyocarditis-patients indicated ICI-driven enhanced CD4&#x002B; Treg cells and reduced CD4&#x002B; T cells. Immunophenotypes, particularly effector memory T cells of irMyocarditis-patients differed from those of ICI-treated patients without side effects. LAG3 expression on T cells and PD-L1 expression on dendritic cells could serve as predictive indicators for the development of irMyocarditis.</p>
</sec>
<sec><title>Conclusion</title>
<p>Interestingly, our cohort shows a very low mortality rate of irMyocarditis-patients. Our data indicate so far unknown local and systemic immunological patterns in cardiotoxicity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>checkpoint inhibitor</kwd>
<kwd>melanoma</kwd>
<kwd>immunotherapy</kwd>
<kwd>myocarditis</kwd>
<kwd>cardiovascular toxicity</kwd>
</kwd-group>
<contract-num rid="cn001">FA-21-002</contract-num>
<contract-num rid="cn002">01ZX1905E</contract-num>
<contract-num rid="cn003">DFG AN 801/4-1, SFB TRR355</contract-num>
<contract-sponsor id="cn001">German Foundation immuno-oncology (Stiftung Immunonkologie)</contract-sponsor>
<contract-sponsor id="cn002">German Federal Ministry of Education and Research</contract-sponsor>
<contract-sponsor id="cn003">German Research Foundation</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="40"/><page-count count="14"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Metabolism</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="background"><label>1</label><title>Background</title>
<p>Immune checkpoint inhibitors (ICI) have revolutionized tumor therapy and are effective in multiple tumor entities (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). However, they also induce a broad spectrum of immune-related toxicities, including colitis, hepatitis, pneumonitis, thyroiditis, myositis, hypophysitis, dermatitis, and cardiotoxicity (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). ICI-related myocarditis (irMyocarditis) emerged as a significant concern, occurring in 0.5&#x0025;&#x2013;1&#x0025; of ICI recipients (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>), with a median onset of 34 days post-treatment initiation (<xref ref-type="bibr" rid="B11">11</xref>). Alarmingly, irMyocarditis historically carried a mortality rate of 40&#x0025;&#x2013;46&#x0025;, which is the highest of any irAE and 10-fold higher than myocarditis from other causes (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The clinical presentation of irMyocarditis ranges from asymptomatic troponin elevation to heart failure, with ventricular arrhythmia, severe conduction disorders, or cardiogenic shock and may co-occur with symptoms of myositis and myasthenia gravis (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Even though, early, and high dose steroids seem to be associated with a lower risk of death, the outcome of cardiac irAE is often hard to predict (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). To ensure diagnosis, current guidelines recommend conducting various examinations and, in case of cardiovascular complications, the referral to cardiology (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Up to now, diagnostics, monitoring, and therapy for cardiac irAEs under immunotherapy are still largely based on experience or, if one exists, guided by the clinic&#x0027;s internal algorithm. Therefore, monitoring for cardiac events comes with a large burden of unnecessary assessments and a reliable evidence base for treatment options is still lacking. IrMyocarditis can be induced by activation of autoreactive T-lymphocytes directed against heart muscle (<xref ref-type="bibr" rid="B19">19</xref>). The target antigens may overlap with striated muscle and thus create an overlap of irMyocarditis, irMyositis and myasthenia-like syndrome (<xref ref-type="bibr" rid="B14">14</xref>). Recently, single-cell RNA sequencing coupled with T cell receptor analysis revealed the enrichment of cytotoxic T cells, inflammatory macrophages, and conventional dendritic cells in heart tissue biopsies from patients with irMyocarditis (<xref ref-type="bibr" rid="B13">13</xref>). Notably, cardiac and tumor infiltrates from melanoma patients with fatal irMyocarditis shared high-frequency T cell receptor sequences, suggesting potential tumor-expressed antigen triggers for ICI-induced myocarditis (<xref ref-type="bibr" rid="B20">20</xref>). Autopsy specimens from patients with irMyocarditis have demonstrated cardiac infiltration primarily by T-lymphocytes and macrophages, with notable absence of B cells or antibody deposits (<xref ref-type="bibr" rid="B20">20</xref>). Another study identified an increase of CD8&#x002B; effector memory T-cells re-expressing CD45RA (T<sub>EMRA</sub>) in peripheral blood of irMyocarditis patients based on time-of-flight mass cytometry (CyTOF) (<xref ref-type="bibr" rid="B21">21</xref>). This would suggest that targeting cytotoxic CD8&#x002B; T cells may be effective in treating fulminant myocarditis.</p>
<p>Tissue transcriptomics of irMyocarditis has rarely been reported to date. In one study, bulk RNA sequencing of myocardial tissue from patients with irMyocarditis indicated that irMyocarditis was associated with multiple inflammatory pathways, especially interferon responses. Several interferon-stimulated genes were upregulated, including CXCL9, MDK, and GBP521 (<xref ref-type="bibr" rid="B22">22</xref>). In a murine study, CD8&#x002B; T cells of mice with myocarditis demonstrated a unique transcriptional profile consisting of proinflammatory and cytotoxicity markers (GZMB, GNLY, CST7, NKG7, KLRB1, and IL32), and myocardial-tropic chemokines CCL5, CCL4, and CCL4L2 (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>This study analyzed a multicenter cohort of patients with cardiac irAEs with respect to symptoms, outcome and longitudinal changes of immunophenotype in comparison to patients without irAEs. Additionally, gene expression analyses of the corresponding heart muscle biopsies were conducted.</p>
</sec>
<sec id="s2"><label>2</label><title>Method and design</title>
<sec id="s2a"><label>2.1</label><title>Study population and design</title>
<p>This retrospective multicenter study includes a total of 51 patients from 12 centers (Cologne, Erlangen, Essen, Freiburg, Goettingen, Hannover, Luebeck, Mainz, Minden, Munich, Nashville, Zurich) with confirmed cardiac irAE drawn from our SERIO-registry and was approved by the ethics committee of the LMU University Hospital Munich (No. 20-1122). The diagnosis of irMyocarditis was confirmed by cardiologists at the corresponding center, who assessed symptoms, ECG alterations, troponin levels, and functional or structural changes in cardiac imaging, alongside a confirmed temporal association with the administration of ICIs. Cardiac MRIs were conducted on 33 patients, revealing findings consistent with irMyocarditis, such as late gadolinium enhancement, myocardial edema, wall motility disorders, and/or ischemia. Furthermore, endomyocardial biopsy results from 18 patients showed evidence of toxic damage to myocardial cells, including interstitial fibrosis, degenerative changes, and increased infiltration of lymphocytes, especially T cells, and CD68-positive macrophages, further supporting the diagnosis. If available, we collected creatine kinase (CK), creatine phosphokinase-MB (CK-MB), troponin T, and N-terminal prohormone of brain natriuretic peptide (NT-proBNP) serum levels at peak, as well as examination results of electrocardiogram (ECG), echocardiography (Echo) with left ventricular ejection fraction (LVEF), cardiac magnetic resonance imaging (MRI), and coronary angiography.</p>
<p>Clinical data was gathered using the international web-based Side Effect Registry Immuno-Oncology (SERIO; <ext-link ext-link-type="uri" xlink:href="www.serio-registry.org">www.serio-registry.org</ext-link>). It was initiated in cooperation with the Paul-Ehrlich-Institute, to document rare, complex, or therapy-refractory side effects induced by immunotherapies. Within SERIO patients&#x2019; demographics, tumor entity, ICI therapy applied, tumor outcome, as well as type of irAE, irAE onset, grade, treatment and outcome are documented. The grading of irAEs followed the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. IrAE outcome was classified as resolved, improved, resolved with sequelae, or ongoing. The classification of completely &#x201C;resolved&#x201D; cardiac irAEs refers to cases where all cardiac symptoms and abnormalities associated with the irAE have disappeared. &#x201C;Improved&#x201D; defines irAE cases where there is a noticeable enhancement in cardiac irAE symptoms and/or abnormalities but which haven&#x0027;t entirely disappeared. &#x201C;Resolved with sequelae&#x201D; indicates that while the symptoms have subsided, there are residual effects or complications of the cardiac irAE, e.g., elevated troponin levels, remaining. &#x201C;Ongoing&#x201D; signifies cardiac irAE cases where symptoms and abnormalities persist without any significant improvement or resolution. Ethical approval for analyses from the SERIO registry was granted (Erlangen Nr. 2_20 B, Erlangen Nr. 17_16 Bc). SERIO was queried for cases of cardiac irAEs in February 2024.</p>
<p>For lab investigations participants gave their informed written consent prior to analysis. In total, peripheral blood mononuclear cells (PBMCs) from 19 patients were analyzed longitudinally for immunophenotyping at baseline and during ICI-therapy or during irAE. PBMCs from irMyocarditis patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;4 baseline and <italic>n</italic>&#x2009;&#x003D;&#x2009;8 during irAE) were compared to patients without toxicity under ICI-therapy (<italic>n</italic>&#x2009;&#x003D;&#x2009;4 baseline and <italic>n</italic>&#x2009;&#x003D;&#x2009;7 during ICI-therapy). Heart muscle biopsies included irMyocarditis patients from Erlangen, Luebeck, Munich (D), and Zuerich (CH) (<italic>n</italic>&#x2009;&#x003D;&#x2009;11 available for lab investigations). Healthy heart muscle biopsies were obtained from pediatric cardiac surgery (<italic>n</italic>&#x2009;&#x003D;&#x2009;5). The healthy muscle was from a biobank that captured heart muscle from patients with valve reconstruction.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Blood sample processing and flow cytometry</title>
<p>PBMCs were isolated from lithium heparin blood samples by density gradient centrifugation with Ficoll-Paque density-gradient centrifugation followed by a cryopreservation with X-VIVO medium (Lonza) enriched with 20&#x0025; fetal bovine serum (FBS, Pan Biotech) as well as with 10&#x0025; DMSO (Thermo Fisher) and stored in liquid nitrogen. PBMCs were obtained from 8 patients with irMyocarditis and 11 ICI-patients without development of toxicities.</p>
<p>Thawed PBMCs were rested for one hour in RPMI medium&#x2009;&#x002B;&#x2009;10&#x0025; FCS&#x2009;&#x002B;&#x2009;1&#x0025; Pen/Strep&#x2009;&#x002B;&#x2009;1&#x0025; L-Glutamine. Prior to staining, cells were incubated with human TrueStain Fc blocking reagent (Biolegend). Cells were then incubated (30&#x2005;min, 4&#x2009;&#x00B0;C) with eBioscience Fixable Viability Dye eFluor506 (Invitrogen) and the surface antibody mix (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>) in PBS. After fixation and permeabilization with eBioscience fixation/permeabilization reagent (Invitrogen; 30&#x2005;min, 4&#x2009;&#x00B0;C) and washing, cells were incubated (30&#x2005;min, 4&#x2009;&#x00B0;C) with the intracellular/intranuclear antibody mix (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>) and then measured the same day on an LSR Fortessa Cell Analyzer (BD Biosciences). FlowJo software (10.10.1) (BioSciences) was used for analysis.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>The list of FACS antibodies used for PBMC.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Antigen</th>
<th valign="top" align="left">Fluorophore</th>
<th valign="top" align="left">Clone</th>
<th valign="top" align="left">Company</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CD25</td>
<td valign="top" align="left">BV421</td>
<td valign="top" align="left">BC96</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD8</td>
<td valign="top" align="left">BV510</td>
<td valign="top" align="left">SK1</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD127</td>
<td valign="top" align="left">BV605</td>
<td valign="top" align="left">A019D5</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD103</td>
<td valign="top" align="left">BV711</td>
<td valign="top" align="left">Ber-ACT8</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD45RA</td>
<td valign="top" align="left">FITC</td>
<td valign="top" align="left">HI100</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD4</td>
<td valign="top" align="left">PerCP-Cy5.5</td>
<td valign="top" align="left">SK3</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">FOXP3</td>
<td valign="top" align="left">PE</td>
<td valign="top" align="left">259D</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD62l</td>
<td valign="top" align="left">PE/Dazzle 94</td>
<td valign="top" align="left">DREG-56</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD45RO</td>
<td valign="top" align="left">PE-Cy7</td>
<td valign="top" align="left">UCHL1</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CCR7</td>
<td valign="top" align="left">APC</td>
<td valign="top" align="left">G043H7</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD3</td>
<td valign="top" align="left">AF700</td>
<td valign="top" align="left">OKT3</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">TIGIT</td>
<td valign="top" align="left">BV421</td>
<td valign="top" align="left">A15153G</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">ICOS</td>
<td valign="top" align="left">BV605</td>
<td valign="top" align="left">C398.4A</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">TIM-3</td>
<td valign="top" align="left">BV650</td>
<td valign="top" align="left">F38-2E2</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CTLA4</td>
<td valign="top" align="left">BV711</td>
<td valign="top" align="left">BNI3</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD44</td>
<td valign="top" align="left">FITC</td>
<td valign="top" align="left">C44Mab-5</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD107a</td>
<td valign="top" align="left">PE</td>
<td valign="top" align="left">H4A3</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">LAG-3</td>
<td valign="top" align="left">PE/Dazzle 594</td>
<td valign="top" align="left">11C3C65</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD28</td>
<td valign="top" align="left">PE-Cy7</td>
<td valign="top" align="left">CD28.2</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD27</td>
<td valign="top" align="left">APC</td>
<td valign="top" align="left">M-T271</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD80</td>
<td valign="top" align="left">BV421</td>
<td valign="top" align="left">2D10</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD16</td>
<td valign="top" align="left">BV510</td>
<td valign="top" align="left">B73.1</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">BDCA1</td>
<td valign="top" align="left">BV605</td>
<td valign="top" align="left">L161</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">BDCA2</td>
<td valign="top" align="left">BV711</td>
<td valign="top" align="left">201A</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD11c</td>
<td valign="top" align="left">FITC</td>
<td valign="top" align="left">Bu15</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">PD-L1</td>
<td valign="top" align="left">PerCP-Cy5.5</td>
<td valign="top" align="left">29E.2A3</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD86</td>
<td valign="top" align="left">PE</td>
<td valign="top" align="left">BU63</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD14</td>
<td valign="top" align="left">PE/Dazzle 594</td>
<td valign="top" align="left">HCD14</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">HLA-DR</td>
<td valign="top" align="left">PE-Cy7</td>
<td valign="top" align="left">L243</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD19</td>
<td valign="top" align="left">APC</td>
<td valign="top" align="left">HIB19</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">CD56</td>
<td valign="top" align="left">AF700</td>
<td valign="top" align="left">5.1H11</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">BV421</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">BV510</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">BV605</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">BV650</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">BV711</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2b</td>
<td valign="top" align="left">FITC</td>
<td valign="top" align="left">MPC-11</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">PerCP-Cy5.5</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">PE</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">PE/Dazzle 94</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2a</td>
<td valign="top" align="left">PE-Cy7</td>
<td valign="top" align="left">MOPC-173</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2a</td>
<td valign="top" align="left">APC</td>
<td valign="top" align="left">MOPC-173</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2a</td>
<td valign="top" align="left">AF700</td>
<td valign="top" align="left">MOPC-173</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2a</td>
<td valign="top" align="left">BV421</td>
<td valign="top" align="left">MOPC-173</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Armenian hamster IgG</td>
<td valign="top" align="left">BV605</td>
<td valign="top" align="left">HTK888</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2a</td>
<td valign="top" align="left">BV711</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">FITC</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG2b</td>
<td valign="top" align="left">PerCP-Cy5.5</td>
<td valign="top" align="left">MPC-11</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">PE-Cy7</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">APC</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
<tr>
<td valign="top" align="left">Mouse IgG1</td>
<td valign="top" align="left">AF700</td>
<td valign="top" align="left">MOPC-21</td>
<td valign="top" align="left">biolegend</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Low cytometry antibodies used for FACS analysis are listed with respect to antigen, fluorophore, clone and company.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2c"><label>2.3</label><title>RNA isolation</title>
<p>Total RNA was isolated from heart muscle specimens using TRIzol&#x2122; Reagent (Thermo Fisher Scientific, Germany) according to the manufacturer&#x0027;s instructions.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Nanostring analysis</title>
<p>Gene expression was analyzed using the nCounter PanCancer Immune Profiling Panel&#x2122; (human) (Nanostring, XT-CSO-HIP1&#x2013;12). Sample detection and analysis were completed on a nCounter&#x00AE; Digital Analyzer. RNA gene expression analysis was performed using the nCounter SPRINT Profiler and the nCounter MAX Analysis System (NanoString Technologies, Inc.). Statistical analysis of gene expression results was implemented with the nSolver Analysis Software (NanoString Technologies, Inc.) and ROSALIND&#x00AE; (ROSALIND, Inc., San Diego, CA) (<ext-link ext-link-type="uri" xlink:href="https://rosalind.bio/">https://rosalind.bio/</ext-link>). Pathway analysis was conducted using EnrichR and EnrichR-KG, applying the databases KEGG 2021 Human and GO Biological Process 2021.</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Unsupervised and statistical analysis</title>
<p>Raw data processing, quality control and normalization were performed using the NanoStringQCPro package for the R (version 4.1.0) environment. Quality control (QC) was performed with an imaging QC of &#x003E;80&#x0025; field of view registration, binding density QC within 0.05&#x2013;2.25 range, and positive control scaling factors within a range of 0.3&#x2013;3. In the differential expression analysis, a false discovery rate (FDR, Benjamini and Hochberg) adjusted <italic>p</italic>-value of &#x2264;0.05 was applied as cutoff. One sample two-tailed unpaired Student&#x0027;s <italic>t</italic>-test, one sample Wilcoxon test and Mann&#x2013;Whiney <italic>U</italic>-test were used to test statistical significance. &#x002A;: <italic>p</italic>&#x2009;&#x2264;&#x2009;0.05, &#x002A;&#x002A;: <italic>p</italic>&#x2009;&#x2264;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;: <italic>p</italic>&#x2009;&#x2264;&#x2009;0.001.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>In total, 51 patients (19 female&#x2014;32 male patients; 37.2&#x0025;&#x2013;62.7&#x0025;) with various tumor entities (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>) were included in this study investigating cardiac irAE. Most patients were diagnosed with cutaneous melanoma (31/51; 60.7&#x0025;), followed by uveal melanoma (4/53; 7.8&#x0025;) and melanoma of unknown primary (MUP) (3/51; 5.9&#x0025;). Other reported tumor entities included, but were not limited to, head and neck carcinoma (2/51; 3.9&#x0025;), neuroendocrine bladder cancer (5/51; 3.9&#x0025;); breast cancer (1/51; 2.0&#x0025;) and renal cell carcinoma (1/51; 2.0&#x0025;). Applied checkpoint inhibitors included anti-cytotoxic T lymphocyte antigen 4 (CTLA-4), anti-programmed cell death 1 (PD-1), and anti-programmed cell death 1 ligand 1 (PD-L1) antibodies. Most frequently applied ICI regimens were combined therapy with ipilimumab and nivolumab (21/53; 39.6&#x0025;), pembrolizumab (15/53; 28.3&#x0025;) and nivolumab (11/53; 20.8&#x0025;) in monotherapy. Reported cardiac irAEs included myocarditis (48/53; 90.5&#x0025;), myocardiopathy (1/53; 1.9&#x0025;), myocardial fibrosis (1/53; 1.9&#x0025;), pericarditis (1/53; 1.9&#x0025;), ventricular arrhythmia (1/53; 1.9&#x0025;) and asystolia (1/53; 1.9&#x0025;). Altogether, 53 cardiac irAE were documented, since 2 of 51 patients developed a second cardiac irAE. Three quarter of patients showed another irAE (72.5&#x0025;; 37/51) with irMyositis (15/52; 28.8&#x0025;) and irHepatitis (13/52; 24.5&#x0025;) being the most frequently reported ones. According to CTCAE grading, 83.0&#x0025; of cardiac irAEs were severe or life-threating (Grade&#x2009;&#x2265;&#x2009;3 adverse events) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>) and 11.3&#x0025; were fatal (6/53). IrMyocarditis, in particular, was fatal in 8.3&#x0025; of cases (4/48). Death due to tumor progression occurred in 31.4&#x0025; (16/51) of patients upon longitudinal analysis.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Baseline characteristics of patients with immune-related cardiac adverse events associated with immunotherapy.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Patients&#x2019; characteristics</th>
<th valign="top" align="center">Patients with cardiac irAE</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>n</italic> (patients)</td>
<td valign="top" align="center">51</td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic> (cardiac irAE)</td>
<td valign="top" align="center">53</td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic> (all irAE)</td>
<td valign="top" align="center">105</td>
</tr>
<tr>
<td valign="top" align="left">Age (years), <italic>n</italic></td>
<td valign="top" align="center">70 (23&#x2013;91)</td>
</tr>
<tr>
<td valign="top" align="left">Sex:</td>
<td valign="top" align="center">19&#x2013;32</td>
</tr>
<tr>
<td valign="top" align="left">Female&#x2014;male: <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">(37&#x0025;&#x2013;63&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Tumor entity</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma; cutaneous</td>
<td valign="top" align="center">31 (60.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma of unknown primary (MUP)</td>
<td valign="top" align="center">3 (5.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma; uveal</td>
<td valign="top" align="center">4 (7.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma; amelanotic</td>
<td valign="top" align="center">2 (3.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Squamous cell carcinoma (SCC)</td>
<td valign="top" align="center">2 (3.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Breast cancer</td>
<td valign="top" align="center">1 (2.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Head and neck carcinoma</td>
<td valign="top" align="center">2 (3.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Neuroendocrine bladder cancer</td>
<td valign="top" align="center">2 (3.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Non-small-cell lung cancer (NSCLC)</td>
<td valign="top" align="center">1 (2.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Renal cell carcinoma (RCC)</td>
<td valign="top" align="center">1 (2.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Sigmoid carcinoma</td>
<td valign="top" align="center">1 (2.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Uterine cancer</td>
<td valign="top" align="center">1 (2.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Melanoma</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Primary AJCC (2017) stage, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">II</td>
<td valign="top" align="center">1 (2.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">III A</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">III B/C</td>
<td valign="top" align="center">5 (13.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">IV</td>
<td valign="top" align="center">32 (84.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Cardiovascular risk factors, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Arterial hypertension</td>
<td valign="top" align="center">17 (38.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">High cholesterol</td>
<td valign="top" align="center">7 (15.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus type 2</td>
<td valign="top" align="center">7 (15.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">9 (20.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="center">4 (9.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Therapy regimen ICI, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Cemiplimab</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ipilimumab</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ipilimumab&#x2009;&#x002B;&#x2009;Nivolumab</td>
<td valign="top" align="center">21 (39.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ipilimumab&#x2009;&#x002B;&#x2009;Pembrolizumab</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Nivolumab</td>
<td valign="top" align="center">11 (20.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pembrolizumab</td>
<td valign="top" align="center">15 (28.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pembrolizumab&#x2009;&#x00B1;&#x2009;TVEC</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">ICI combination, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">22 (41.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">31 (58.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Duration of ICI treatment, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Continued</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Interrupted</td>
<td valign="top" align="center">12 (22.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Stopped</td>
<td valign="top" align="center">36 (66.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Rechallenge</td>
<td valign="top" align="center">5 (9.3&#x0025;)<xref ref-type="table-fn" rid="table-fn4">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Cardiac irAE, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Myocarditis</td>
<td valign="top" align="center">48 (90.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Asystolia</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial fibrosis</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardiopathy</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pericarditis</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ventricular arrhythmia</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="1">Other irAE, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center" colspan="1"><bold>37</bold> (<bold>72.5&#x0025;)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Myositis</td>
<td valign="top" align="center">15 (28.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis</td>
<td valign="top" align="center">13 (24.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Thyroiditis</td>
<td valign="top" align="center">5 (9.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Colitis</td>
<td valign="top" align="center">4 (7.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">3 (5.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hypophysitis</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Nephritis</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pneumonitis</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Rheumatological irAE</td>
<td valign="top" align="center">2 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Auditory/vestibular irAE</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hematological irAE</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Lichenoid skin reactions</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ocular irAE</td>
<td valign="top" align="center">1 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Cardiac irAE, CTCAE grade <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">4 (8.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;5</td>
<td valign="top" align="center">44 (91.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Cause of death, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Tumor progression</td>
<td valign="top" align="center">16 (72.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac irAE</td>
<td valign="top" align="center">6 (27.3&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>Percentages may not sum up to 100 due to rounding. Age: median displayed with range in brackets. Primary AJCC 2017 stage and irAE displayed. IrAE are graded according to Common Terminology Criteria for Adverse Events Version 5.0 of 2017.</p></fn>
<fn id="table-fn3"><p>CTCAE, common terminology criteria for adverse events version 5.0; ICI, immune-checkpoint-inhibitor; irAE, immune-related adverse event; TVEC, talimogene laherparepvec.</p></fn>
<fn id="table-fn4"><label>&#x002A;</label>
<p>4 patients with no recurrence of cardiac irAE; 1 fatality.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Documented cardiac irAE severity and outcome within the side effect registry immuno-oncology (SERIO). (<bold>A</bold>) Severity of irAE (grade 1-5 CTCAE). Data was available for 90.6&#x0025; (48/53) of cases. (<bold>B</bold>) Outcome of irAE. Outcome data was available for 94.3&#x0025; (50/53) of cases. CTCAE, common terminology criteria for adverse events version 5.0; IrAE, immune-related adverse event.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1408586-g001.tif"/>
</fig>
<sec id="s3a"><label>3.1</label><title>Signs and symptoms</title>
<p>The median time from initiation of ICI therapy to onset of cardiac irAEs was 37 days with a wide range (4&#x2013;1,074 days). The time to onset of irMyocarditis significantly differed from other cardiac irAEs. In total, irMyocarditis occurred early after ICI initiation with a median time to onset of 36 days (range 4&#x2013;1,074 days), whereas other cardiac irAEs had a median time to onset of 101 days (range 28&#x2013;119 days). More than half of all patients (58.8&#x0025;; 30/51) initially presented with symptoms like dyspnea (63.3&#x0025;; 19/30) or chest pain (23.3&#x0025;; 7/30) while 41.2&#x0025; were asymptomatic. In over 50.0&#x0025; of irAE cases, which ultimately resolved completely, elevated laboratory parameters (Troponin T, CK, CK-MB, and NT-proBNP) were initially observed (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). In those patients that fully recovered, echocardiographic findings were predominantly within the normal range (92.9&#x0025;; 13/14) and coronary angiographies presented with no signs of stenosis (75.0&#x0025;; 9/12). The results of ECG and cardiac MRI in this cohort were nonspecific, showing a distribution of 50.0&#x0025; abnormal and 50.0&#x0025; normal results. Notably, biopsies of the myocardium of patients who fully recovered were indicative of myocarditis in 7 out of 8 cases (87.5&#x0025;). Interestingly, in the cohort that ultimately led to fatality, cardiac diagnostic assessments were not performed in more than 50.0&#x0025; of cases. Upon conducting the investigations in this cohort, abnormalities were observed in ECG (100.0&#x0025;; 3/3) and coronary angiography (100.0&#x0025;; 2/2), whereas the echocardiogram (66.7&#x0025;; 2/3), LVEF (100.0&#x0025;; 3/3), and MRI (100.0&#x0025;; 1/1) findings were predominantly within the normal range (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Findings in patients with cardiac irAE.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Findings in patients with cardiac irAE</th>
<th valign="top" align="center" colspan="2">Outcome of cardiac irAE</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="left"><italic>n</italic> (cardiac irAE)</th>
<th valign="top" align="center">Resolved
(<italic>n</italic>&#x2009;&#x003D;&#x2009;18)</th>
<th valign="top" align="center">Death
(<italic>n</italic>&#x2009;&#x003D;&#x2009;6)</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Symptoms</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">11 (61.1%)</td>
<td valign="top" align="center">4 (66.7%)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5 (27.8%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">2 (10.5%)</td>
<td valign="top" align="center">2 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Laboratory results</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Troponin</td>
</tr>
<tr>
<td valign="top" align="left">Elevated</td>
<td valign="top" align="center">14 (77.8%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">4 (22.2%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">CK</td>
</tr>
<tr>
<td valign="top" align="left">Elevated</td>
<td valign="top" align="center">12 (66.7%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">4 (22.2%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">2 (11.1%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">CK-MB</td>
</tr>
<tr>
<td valign="top" align="left">Elevated</td>
<td valign="top" align="center">9 (50.0%)</td>
<td valign="top" align="center">2 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">2 (11.1%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">7 (38.9%)</td>
<td valign="top" align="center">4 (66.7%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">NT-proBNP</td>
</tr>
<tr>
<td valign="top" align="left">Elevated</td>
<td valign="top" align="center">9 (50.0%)</td>
<td valign="top" align="center">2 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">3 (16.7%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">6 (33.3%)</td>
<td valign="top" align="center">4 (66.7%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Further examinations</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">ECG</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal</td>
<td valign="top" align="center">7 (38.9%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">7 (38.9%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">4 (22.2%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Echo</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal</td>
<td valign="top" align="center">1 (5.6%)</td>
<td valign="top" align="center">1 (16.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">13 (72.2%)</td>
<td valign="top" align="center">2 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">4 (22.2%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">LVEF</td>
</tr>
<tr>
<td valign="top" align="left">Reduced</td>
<td valign="top" align="center">2 (11.1%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">12 (66.7%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">4 (22.2%)</td>
<td valign="top" align="center">3 (50.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Coronary angiography</td>
</tr>
<tr>
<td valign="top" align="left">Stenosis</td>
<td valign="top" align="center">3 (16.7%)</td>
<td valign="top" align="center">2 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left">No stenosis</td>
<td valign="top" align="center">9 (50.0%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">6 (33.3%)</td>
<td valign="top" align="center">4 (66.7%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Cardiac MRI</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal</td>
<td valign="top" align="center">7 (38.9%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">6 (33.3%)</td>
<td valign="top" align="center">1 (16.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">5 (27.8%)</td>
<td valign="top" align="center">5 (83.3%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Biopsy of myocardium</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7 (38.9%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1 (5.6%)</td>
<td valign="top" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="top" align="left">Not performed or n/a</td>
<td valign="top" align="center">10 (55.6%)</td>
<td valign="top" align="center">6 (100%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>The results express the analysis of two patient cohorts categorized by cardiac irAE outcomes &#x201C;Resolved&#x201D; and &#x201C;Death&#x201D; and the standard assessments conducted for cardiac irAE, including the number of cases with abnormal or normal results, as well as the cases that were not investigated.</p></fn>
<fn id="table-fn6"><p>CK, creatine kinase; CK-MB, creatine phosphokinase-MB; cMRI, cardiac magnetic resonance imaging; ECG, electrocardiogram; Echo, echocardiograpy; irAE, immune-related adverse event; LVEF, left ventricular ejection fraction; NT-proBNP, N-terminal prohormone of brain natriuretic peptide.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>IrAE treatment and outcome</title>
<p>In total, 92.5&#x0025; (49/53) of patients with cardiac irAE were treated with systemic steroids, 5.7&#x0025; (3/53) were solely treated with symptomatic therapies such as beta blockers and antihypertensive drugs, and 17.0&#x0025; (9/53) required second-line therapy for steroid-refractory or steroid-dependent cardiac irAEs. As second-line immunosuppressants, intravenous immunoglobulins (IVIG), infliximab, anti-thymocyte globulin (ATG), mycophenolate mofetil (MMF) were applied. Optimal response rates of 90.0&#x0025; (4/5) were attained through the administration of IVIG. In total, 72.5&#x0025; (37/51) of patients required hospitalization.</p>
<p>Data evaluation of cardiac irAE outcomes indicated that 34.0&#x0025; (18/53) of cases completely resolved, 15.1&#x0025; (8/53) significantly improved, while 22.6&#x0025; (12/53) resolved with relevant sequelae and 11.3&#x0025; (6/53) were still ongoing, with an overall irAE response rate of 71.7&#x0025; (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). In 11.3&#x0025; (6/53) of cases, cardiac irAEs led to death (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). In our study, 5 patients received ICI rechallenge after cardiac irAE. In 80.0&#x0025; (4/5) of cases ICI was successfully applied without recurrence of cardiac toxicities, while in one case the patient died early after ICI re-initiation due to exacerbated cardiac symptoms. In one case, ICI rechallenge was successfully administered with prophylactic steroid treatment. Tumor response in patients with cutaneous melanoma was assessed at the time of irAE: Complete response was reported in 5.9&#x0025; (2/34), partial response in 8.8&#x0025; (3/34), stable disease in 20.6&#x0025; (7/34) and progressive disease in 32.4&#x0025; (11/34) of patients (RECIST 1.1). Patients showed a median PFS of 8 months (range 0&#x2013;60 months) and a median overall survival (OS) of 17 months (range 0&#x2013;130 months). In total, 11.8&#x0025; (4/34) of patients were treated in an adjuvant setting with recurrence-free survival between 1 and 13 months.</p>
</sec>
<sec id="s3c"><label>3.3</label><title>Gene expression analysis reveals substantial differences in cytokine pathways between irMyocarditis and healthy controls</title>
<p>To elucidate the gene expression signatures of irMyocarditis, heart tissue of 12 irMyocarditis patients was compared to heart tissue of 5 healthy controls using nCounter&#x00AE; Digital Analyzer. After normalizing the raw data, with a ratio &#x003E;1.5 or &#x003C;1.5 and <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 as the screening criteria for differential expression genes (DEG), the DEGs analysis identified a set of 113 differentially regulated genes in irMyocarditis compared to healthy controls, of which 99 genes were upregulated and 14 were downregulated (<xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref>). The top five upregulated genes in irMyocarditis were IL6R (logFC 2.1, adjusted <italic>p</italic>-value 3.34&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;5</sup>), HLA-C (logFC 3.62, adjusted <italic>p</italic>-value 6.31&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), HLA-E (logFC 3.58, adjusted <italic>p</italic>-value 7.19&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), STAT2 (logFC 2.64, adjusted <italic>p</italic>-value 8.25&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>) and IKBKB (logFC 2.41, adjusted <italic>p</italic>-value 9.22&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>). The top five downregulated genes in irMyocarditis were DDX43 (logFC &#x2212;10.04, adjusted <italic>p</italic>-value 3.01&#x2009;&#x00D7;&#x2009;10&#x2212;4), HMGB1 (logFC &#x2212;2.75, adjusted <italic>p</italic>-value 1.90&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;3</sup>), SYT17 (logFC &#x2212;5.17, adjusted <italic>p</italic>-value 3.64&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;3</sup>), S100A12 (logFC &#x2212;7.79, adjusted <italic>p</italic>-value 5.43&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;3</sup>) and IL13RA2 (logFC &#x2212;9.45, adjusted <italic>p</italic>-value 9.85&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;3</sup>). The 113 DEGs were investigated using gene set enrichment and pathway analysis (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>), demonstrating the most significant pathways of the DEGs: (1) Cytokine-mediated signaling pathway (<italic>p</italic>&#x2009;&#x003D;&#x2009;6.6445&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;37</sup>), (2) Cellular response to cytokine production (<italic>p</italic>&#x2009;&#x003D;&#x2009;5.5129&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;32</sup>), (3) Positive regulation of cytokine production (<italic>p</italic>&#x2009;&#x003D;&#x2009;1.4357&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;30</sup>), (4) Hematopoietic cell lineage (<italic>p</italic>&#x2009;&#x003D;&#x2009;1.4458&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;22</sup>), (5) Epstein-Barr virus infection (<italic>p</italic>&#x2009;&#x003D;&#x2009;2.5618&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;22</sup>), (6) Cell adhesion molecules (<italic>p</italic>&#x2009;&#x003D;&#x2009;2.858&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;22</sup>), (7) Th17 cell differentiation (<italic>p</italic>&#x2009;&#x003D;&#x2009;2.6598&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;20</sup>), (8) Human T-cell leukemia virus 1 infection (<italic>p</italic>&#x2009;&#x003D;&#x2009;3.6892&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;20</sup>), (9) Regulation of interleukin-6 production (<italic>p</italic>&#x2009;&#x003D;&#x2009;1.724&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;15</sup>), (10) Innate immune response (<italic>p</italic>&#x2009;&#x003D;&#x2009;6.7096&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;15</sup>). Thus, the regulation of cytokines, especially type I IFNs and NFkB signaling was differently shaped in irMyocarditis compared to healthy control, indicating might also be relevant&#x2014;IL-6 can be therapeutically inhibited.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Bulk RNAseq reveals substantial differences in cytokine production pathways between irMyocarditis and healthy control. (<bold>A</bold>) Volcano plot shows 14 genes significantly downregulated in in irMyocarditis cohort and healthy heart cohort (violet) and 99 genes significantly upregulated in irMyocarditis compared to healthy control (green) (Log2 fold change &#x2264;&#x2212;1.5 or &#x2265;1.5, <italic>p</italic>-value &#x2264;0.05). Statistics were performed using Rosalind&#x00AE; software. (<bold>B</bold>) Enriched pathway analysis of significantly differentially expressed genes performed with STRING&#x00AE;, gene ontology and KEGG&#x00AE; reveals networks of enriched genes in irMyocarditis cohort and healthy heart cohort.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1408586-g002.tif"/>
</fig>
</sec>
<sec id="s3d"><label>3.4</label><title>Enhanced activation of Treg cells and dendritic cells related to irMyocarditis development</title>
<p>Based on the analyzed gene expression patterns of immune response mechanisms, we next focused on characterization of the profile of the systemic immune response. We performed longitudinal analysis of PBMCs from irMyocarditis patients (baseline and time of adverse event). In longitudinal analysis, PBMCs of patients during irMyocarditis (ae) demonstrated significantly decreased frequencies of CD103&#x002B; activated CD4&#x002B; T cells and increased CD103&#x002B; activated CD4&#x002B; Treg cells compared to baseline (bl) whereas activated T cells as well as Treg cells showed no significant difference between bl and ae. Furthermore, no significant difference in CD103&#x002B; activated CD8&#x002B; T cells and activated CD8&#x002B; Treg cells was observed. Integrin CD103 is related to tissue residency in the context of inflammation and cancer (<xref ref-type="fig" rid="F3">Figures&#x00A0;3A,B</xref>). The peripheral T cell compartment was investigated to determine the relative abundance of various T cell phenotypes, including effector-like T cells (Teff), effector memory-like T cells (Tem), central memory-like T cells (Tcm), and na&#x00EF;ve T cells (Tn). This analysis utilized established markers such as CD45RA, CD45RO, CD62l, CCR7, and CD127. The frequency of Tn, Tcm, Tem, and Teff showed no significant difference neither in CD4&#x002B; nor in CD8&#x002B; T cells (<xref ref-type="sec" rid="s11">Supplementary Figures S1A,B</xref>). Furthermore, markers associated with T cell activation (CD44, CD27, CD28, ICOS, and CD107a) and exhaustion (CTLA4, LAG3, TIM3, and TIGIT) were examined to gain further functional insights into differences in systemic T cell immunity. The CD8&#x002B; T cells showed an increased expression of CD44 which was not observed on CD4&#x002B; T cells (<xref ref-type="fig" rid="F3">Figure&#x00A0;3C</xref>). Furthermore, we focused on the function and phenotype of antigen-presenting cells (APCs). We determined three different DC subsets in peripheral blood including BDCA1- cDC, BDCA1&#x002B; cDC, and monocyte-derived DC (moDC) based on the markers CD11c, CD19, CD56, CD14, BDCA1, and HLA-DR and determined the expression of the activation markers CD80, CD86 and HLA-DR as well as the inhibitory molecule PD-L1. Regarding DC, we found significantly higher frequencies of activated DC during the adverse event compared to baseline in irMyocarditis patient&#x0027;s PBMC as determined by the expression of the costimulatory molecule CD80 (<xref ref-type="fig" rid="F3">Figure&#x00A0;3D</xref>). Besides, for DC subsets, the expression of the coinhibitory molecule PD-L1 on BDCA1- cDC was significantly reduced in ae compared to bl, indicating the effect might be related to the development of irMyocarditis (<xref ref-type="fig" rid="F3">Figure&#x00A0;3E</xref>). The expression of CD80, CD86, and the MHC class II molecule HLA-DR on BDCA1- cDC, BDCA1&#x002B;&#x2009;cDC, and moDC showed no significant difference between ae and bl (<xref ref-type="sec" rid="s11">Supplementary Figures S1C&#x2013;E</xref>). To summarize, the peripheral T cell compartment of irMyocarditis patients showed ICI-driven enhanced levels of activated CD4&#x002B; Treg cells, CD44, CD80, PD-L1 expression on DC, and reduced levels of activated CD4&#x002B; T cells.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Enhanced activated Treg cells driven by ICI in irMyocarditis patient. PBMCs of patients with ae-irMyocarditis (<italic>n</italic>&#x2009;&#x003D;&#x2009;8) and bl (<italic>n</italic>&#x2009;&#x003D;&#x2009;4) were analyzed via flow cytometry. Distribution of activated T cells, Treg cells and other T cell phenotypes (Tn&#x2009;&#x003D;&#x2009;naive T cells, Tcm&#x2009;&#x003D;&#x2009;central memory T cells, Tem&#x2009;&#x003D;&#x2009;effector memory T cells, Teff&#x2009;&#x003D;&#x2009;effector T cells) in CD4&#x002B; and CD8&#x002B; T cells was determined. CD4&#x002B; and CD8&#x002B; T cells were also analyzed for expression of activation (CD27, CD28, ICOS, CD107a, CD44) and exhaustion (CTLA4, TIM-3, TIGIT, LAG3) markers using FACS. The abundance and activation of dendritic cell (DC) subsets was analyzed [activated DC, BDCA1- DC, BDCA1&#x002B; DC and monocyte derived DC (moDC)] using flow cytometry. (<bold>A</bold>) The frequencies of CD4&#x002B; and CD8&#x002B; in CD103&#x002B; activated CD4&#x002B; T cells and CD103&#x002B; activated CD8&#x002B; T cell. (<bold>B</bold>) The frequencies of live cells in CD103&#x002B; activated CD4&#x002B; Treg cells and CD103&#x002B; activated CD8&#x002B; Treg cells. (<bold>C</bold>) CD4&#x002B; and CD8&#x002B; T cells were analyzed for expression of activation CD44 markers using FACS. (<bold>D</bold>) The frequencies of live cells in CD80&#x002B;, CD86&#x002B;, HLA-DR, PD-L1 activated DC cells. (<bold>E</bold>) The frequencies of BDCA1- DC in PD-L1&#x002B; BDCA1- DC, PD-L1&#x002B; BDCA1&#x002B; DC and PD-L1&#x002B; moDC. IrAE, immune-related adverse event; bl, baseline.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1408586-g003.tif"/>
</fig>
</sec>
<sec id="s3e"><label>3.5</label><title>Tem cell and exhaustion markers dominate in irMyocarditis compared to patients without toxicity</title>
<p>Following the longitudinal immunophenotype changes in irMyocarditis patients from baseline to adverse event, we analyzed the irMyocarditis patients during the adverse events in comparison to patients who did not develop toxicities while undergoing ICI-therapy toxicities (&#x00D8; tox ICI-patients). PBMCs of irMyocarditis patients showed significantly higher frequencies of CD4&#x002B; Treg cells and higher levels of activated CD8&#x002B; T cells compared to &#x00D8; tox ICI-patients (<xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref>). Interestingly, different from previous results, irMyocarditis patients showed significantly higher frequencies of CD4&#x002B; Tcm cells and CD4&#x002B; Teff cells compared to &#x00D8; tox ICI-patients. Furthermore, we observed a significant decrease in CD4&#x002B; Tem cells and CD8&#x002B; Tem cells in irMyocarditis compared to &#x00D8; tox ICI-patients (<xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref>), whereas no significant alterations of CD4&#x002B; na&#x00EF;ve T cells and CD8&#x002B; na&#x00EF;ve T cells could be observed (<xref ref-type="sec" rid="s11">Supplementary Figure S2A</xref>). Noticeably, among the tested functional markers only CD28 of CD4&#x002B; T cells was elevated in &#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figures S2B,C</xref>). Of note, both CD4&#x002B; as well as CD8&#x002B; T cells of irMyocarditis patients showed significantly increased expression of the T cell exhaustion marker TIGIT, however a decrease of TIM-3 expression on CD8&#x002B; T cells (<xref ref-type="fig" rid="F4">Figure&#x00A0;4C</xref>). For other T cell exhaustion markers, the expression of LAG3 was elevated in CD4&#x002B; T cells but not in CD8&#x002B; T cells in irMyocarditis compared to &#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figure S2D</xref>). The expression of CTLA4, however, was not different in irMyocarditis and &#x00D8; tox ICI-patients neither in CD4&#x002B; nor in CD8&#x002B; T cells (<xref ref-type="sec" rid="s11">Supplementary Figure S2E</xref>). Further analysis of APC cells showed significantly higher expression of CD86 on activated DC, BDCA1- cDC, BDCA1&#x002B;&#x2009;cDC, and moDC (<xref ref-type="fig" rid="F4">Figure&#x00A0;4D</xref>). Regarding other costimulatory molecules, we found significantly higher frequencies of CD80 on BDCA1- DC as well as the HLA-DR on BDCA1- cDC, BDCA1&#x002B;&#x2009;cDC in irMyocarditis patients, pointing towards an increase in cDC activation potentially induced by irMyocarditis (<xref ref-type="fig" rid="F4">Figures&#x00A0;4E,F</xref>). The expression of CD80 markers on activated DC, BDCA1&#x002B; DC, and moDC, and the expression of HLA-DR on moDC and activated DC, however, was not statistically different between irMyocarditis and &#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figures S2F,G</xref>). Strikingly, the expression of PD-L1 showed a significant increase in all DC subsets in irMyocarditis patients (<xref ref-type="fig" rid="F4">Figure&#x00A0;4G</xref>). Furthermore, in our irMyocarditis cohort, circulating B cells were significantly less abundant than in &#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figure S2H</xref>). Lastly, a difference between CD56high/CD16- NK cells and CD56low/CD16&#x002B; NK cells could not be detected between irMyocarditis and &#x00D8; tox ICI-patients, which indicated the cardiotoxicity might not be related to NK cell-mediated cytotoxicity (<xref ref-type="sec" rid="s11">Supplementary Figure S2I</xref>). Taken together, these data suggest that irMyocarditis is characterized by activation of T cells, particularly Tem cells, additionally the exhaustion markers TIGIT, TIM and LAG3 were identified to be of greater importance in irMyocarditis patients.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Tem cell and exhaustion markers dominate in the induction of cardiotoxicity in irMyocarditis patients. PBMCs of patients with irMyocarditis (<italic>n</italic>&#x2009;&#x003D;&#x2009;8) and patients undergoing checkpoint-inhibitor therapy without development of toxicities (&#x00D8; tox ICI, <italic>n</italic>&#x2009;&#x003D;&#x2009;7) were analyzed via flow cytometry. Distribution of activated T cells, Treg cells, Tn, Tcm, Tem, Teff in CD4&#x002B; and CD8&#x002B; T cells was determined. CD4&#x002B; and CD8&#x002B; T cells were also analyzed for expression of activation (CD27, CD28, ICOS, CD107a, CD44) and exhaustion (CTLA4, TIM-3, TIGIT, LAG3) markers using FACS. The abundance and activation of dendritic cell (DC) subsets were analyzed using FACS. (<bold>A</bold>) The expression level of CD25 in activated CD4&#x002B;, CD8&#x002B; T cell and the frequencies of lymphocytes of CD4&#x002B; Treg, CD8&#x002B; Treg cells (<bold>B</bold>) The frequencies of CD4 in CD4&#x002B; Tcm, CD4&#x002B; Teff, CD4&#x002B; Tem, and CD8&#x002B; Tem. (<bold>C</bold>) The expression level of TIGIT, TIM3 in CD4&#x002B; and CD8&#x002B; T cells. (<bold>D</bold>) The expression level of CD86 in activated DC, BDCA1- DC, BDCA1&#x002B; DC cells. (<bold>E</bold>) The expression level of CD80 of BDCA1- DC. (<bold>F</bold>) The expression level of HLA-DR of BDCA1- DC, BDCA1&#x002B; DC. (<bold>G</bold>) The frequencies of PD-L1 in activated DC, BDCA1- DC, BDCA1&#x002B; DC and moDC.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1408586-g004.tif"/>
</fig>
</sec>
<sec id="s3f"><label>3.6</label><title>LAG3 and PD-L1 as potential indicators to predict the occurrence of irMyocarditis</title>
<p>Furthermore, we aimed to analyze the baseline immunophenotype of PBMC of irMyocarditis patients in comparison to &#x00D8; tox ICI-patients before initiation of ICI-therapy. First, we determined the frequencies of activated T cells in peripheral blood. Here, CD103&#x002B; activated CD4&#x002B; T cells and CD103&#x002B; activated CD4&#x002B; Treg cells showed significant expansion in bl-irMyocarditis compared to bl-&#x00D8; tox ICI-patients,. whereas the abundance of CD103&#x002B; activated CD8&#x002B; T cell CD103&#x002B; activated CD8&#x002B; Treg cell were unaltered (<xref ref-type="fig" rid="F5">Figures&#x00A0;5A,B</xref>). Regarding other phenotypes of T cells, we found no difference in frequencies of Tn, Tcm, Tem, and Teff neither in CD4&#x002B; nor in CD8&#x002B; T cells between bl-irMyocarditis patients and bl-&#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figures S3A,B</xref>). To gain additional functional insights, we analyzed activation and exhaustion markers of the T cells. Interestingly, most activation markers showed significantly higher levels in bl-irMyocarditis, such as CD107a in CD8&#x002B; T cells, and ICOS in both CD4&#x002B; and CD8&#x002B; T cells, however CD28 was significantly higher in CD4&#x002B; T cells in bl-&#x00D8; tox ICI-patients compared to bl-irMyocarditis (<xref ref-type="fig" rid="F5">Figure&#x00A0;5C</xref>). Expression of CD44, as well as CD27, showed no difference between bl-irMyocarditis and bl-&#x00D8; tox ICI-patients (<xref ref-type="sec" rid="s11">Supplementary Figures S3C,D</xref>). Markedly, expression of the exhaustion marker LAG3 was highly elevated in both CD4&#x002B; and CD8&#x002B; T cells in bl-irMyocarditis. Significantly enhanced expression of CTLA4 in CD4&#x002B; T cells and TIGIT in CD8&#x002B; T cells, however a significant decrease of TIM-3 in CD4&#x002B;, respectively, was detected in bl-irMyocarditis compared to bl-&#x00D8; tox ICI-patients (<xref ref-type="fig" rid="F5">Figure&#x00A0;5D</xref>). In DC subsets, we observed an increased expression of PD-L1 on activated DC, BDCA1- cDC, BDCA1&#x002B;&#x2009;cDC, and moDC in bl-irMyocarditis patients (<xref ref-type="fig" rid="F5">Figure&#x00A0;5E</xref>). Additionally, in our bl-irMyocarditis cohort, circulating B cells were significantly lower abundant than in bl-&#x00D8; tox ICI-patients. A significantly higher amount of moDC could be detected in the bl-irMyocarditis cohort compared to bl-&#x00D8; the tox ICI cohort (<xref ref-type="fig" rid="F5">Figure&#x00A0;5F</xref>). To summarize, these data suggest that expression of exhaustion markers, particularly LAG3 on T cells and PD-L1 on DCs at baseline could be used as indicators to predict the occurrence of irMyocarditis.</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>LAG3 and PD-L1 can be used as indicators to predict the occurrence of irMyocarditis. PBMCs of patients with bl-irMyocarditis (<italic>n</italic>&#x2009;&#x003D;&#x2009;4) and bl-tox ICI (<italic>n</italic>&#x2009;&#x003D;&#x2009;4) were analyzed via flow cytometry. Distribution of activated T cells, Treg cells, Tn, Tcm, Tem, Teff in CD4&#x002B; and CD8&#x002B; T cells was determined. CD4&#x002B; and CD8&#x002B; T cells were also analyzed for expression of activation (CD27, CD28, ICOS, CD107a, CD44) and exhaustion (CTLA4, TIM-3, TIGIT, LAG3) markers using FACS. The abundance and activation of dendritic cell (DC) subsets were analyzed using FACS. (<bold>A</bold>) The frequencies of CD4, CD8 in activated CD4&#x002B;, CD8&#x002B; T cells. (<bold>B</bold>) The frequencies of CD4, CD8 in CD103&#x002B; activated CD4&#x002B; Treg, CD8&#x002B; Treg cells (<bold>C</bold>) The expression level of CD28, CD107a, and ICOS in CD4&#x002B; and CD8&#x002B; T cells. (<bold>D</bold>) The expression level of CTLA4, LAG3, TIGIT, and TIM3 in CD4&#x002B; and CD8&#x002B; T cells. (<bold>E</bold>) The expression level of PD-L1 in activated DC, BDCA1- DC, BDCA1&#x002B; DC, and moDC cells. (<bold>F</bold>) The frequencies of live cells of B cells and moDC.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1408586-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>In recent years, the use of ICIs has been expanding due to their effectiveness in various tumor entities and even early tumor stages. Cardiotoxicity is a rare but often fatal side effect that is difficult to diagnose and hard to predict (<xref ref-type="bibr" rid="B23">23</xref>). Therefore, we aimed to investigate options for better patient monitoring including knowledge of pathogenesis and outcome under intensified management and to unravel potential immunophenotypes including suggestions for predictive signatures and transcriptomic pathways associated with development of cardiotoxicity.</p>
<p>In this multicenter study, we report on 51 patients with cardiac irAE induced by checkpoint inhibitor therapy. The analysis of laboratory results revealed elevated cardiac markers (Troponin, CK, CK-MB, NT-proBNP) in the majority of cardiac irAE patients. Subsequent examinations, such as ECG, Echo, LVEF, and cardiac MRI, commonly considered in the diagnostic work-up, were often nonspecific. But, as shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>, omission to perform further investigations is highly associated with an elevated mortality rate. Noteworthy changes were predominantly shown in cardiac biopsies. Since myocarditis is often a focal process in the myocardium especially in the early stages and due to the challenging procedure (<xref ref-type="bibr" rid="B24">24</xref>), we emphasize the need to be cautious of false-negative results. To further strengthen the validity of biopsy results and to minimize the risk of complications, those should be performed based on MRI [including late gadolinium enhancement (LGE)] findings.</p>
<p>In accordance with other reports with an onset of 30 days (<xref ref-type="bibr" rid="B25">25</xref>), irMyocarditis occurred early after ICI initiation, i.e., with a median of 36 days. Interestingly, in over 72&#x0025; of patients another irAE occurred at the same time as the cardiac event. When cardiac irAEs are diagnosed, early initiation of high-dose steroids is of crucial importance (<xref ref-type="bibr" rid="B15">15</xref>). Patients with steroid-resistant irMyocarditis historically have the highest mortality rate of up to 43.7&#x0025; (<xref ref-type="bibr" rid="B16">16</xref>). Treatment of steroid-refractory irAEs is largely based on expert opinions, which emphasizes the need for clinical studies. In our cohort, IVIGs were successfully applied as second-line immunosuppressants for cardiac irAE recalcitrant to steroids and led to high response rates as reported previously by Norwood et al. (<xref ref-type="bibr" rid="B26">26</xref>). While there are varying results on ICI rechallenge in cardiac irAE, with one case without recurrence of irAE, and another case, that resulted in mortality (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B27">27</xref>), in 4 out of 5 patients from our cohort, re-initiation of ICIs after irAE resolution was feasible, while one patient died due to cardiac irAE upon ICI rechallenge. Nevertheless, better information including predictive markers in the challenging clinical setting of ICI rechallenge after cardiac irAE is still lacking.</p>
<p>Prior studies describe high fatality rates of over 39&#x0025; for cardiac irAE (<xref ref-type="bibr" rid="B23">23</xref>). Our multi-center analysis, comparing different clinics&#x2019; approaches and the outcome of cardiac irAE, revealed that optimized management significantly reduces the mortality to 11.3% in our cohort. Therefore, we call for a standardized workflow in each center for the proactive, diagnostic, and therapeutic management of cardiac side effects, as prompt diagnosis and stringent monitoring significantly contribute to favorable outcomes. Shown in <xref ref-type="sec" rid="s11">Supplementary Figure S4</xref>, we established an algorithm that could be applied across centers.</p>
<p>By comparing gene expression in cardiac biopsies of irMyocarditis patients to healthy heart muscle, we demonstrated an enrichment of inflammatory genes in irMyocarditis, especially highly significant for IL6R and STAT2. IL-6 has been described to increase during irAE and anti-IL-6 antibodies like tocilizumab have shown efficacy in treatment of irAE (<xref ref-type="bibr" rid="B28">28</xref>). Interestingly, this indicates potential parallels and might show validation on transcriptomic level for previous case reports with successful application of tocilizumab as anti-IL6R (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>) and of JAK-STAT-inhibitors (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B31">31</xref>) in severe cases with irMyocarditis. Additionally, we showed an upregulation of pathways related to cytokine-mediation, -response and -production in irMyocarditis patients. Since we also found an upregulation of the pathway of Epstein-Barr virus infection, we think this viral infection should be investigated as a potential risk factor for irMyocarditis development in future studies. Overall, our transcriptomic findings indicate as a distinct activation of the immune response in irMyocarditis with a need for further evaluation of especially anti-IL6R and JAK-inhibitor treatment.</p>
<p>Furthermore, we investigated immunophenotyping changes potentially related to irMyocarditis development. First of all, we demonstrated a higher activation of Treg cells and DCs in relation to the longitudinally observed development of irMyocarditis, explicitly shown by increased activated CD4&#x002B; Treg cells, enhanced level of PD-L1, and reduced levels of activated CD4&#x002B; T cells. Secondly, in comparison to patients without irAE undergoing ICI-therapy, patients with irMyocarditis showed a significant increase of activated Tem cells, with a higher expression of exhaustion markers (<xref ref-type="sec" rid="s11">Supplementary Figure S5</xref>). There is a growing consensus that the response to ICI-therapy is achieved by modulating immunosuppressive cells such as Tregs (<xref ref-type="bibr" rid="B32">32</xref>). Recently, research demonstrated that Treg frequencies show a weak but statistically significant correlation with irAE severity (<xref ref-type="bibr" rid="B33">33</xref>). It also has been reported that patients with thymic epithelial tumor and non-small cell lung cancer show a strong increase of Tregs during anti-PD-1 therapy (<xref ref-type="bibr" rid="B34">34</xref>). Herein, patients with irMyocarditis show a higher frequency of Tregs compared to ICI-treated patients without toxicity. In the context of previous studies, our results of Tem cells might show parallels to the findings of Lozano et al. In this retrospective study, a strong correlation between the development of irAE and CD4&#x002B; Tem cells was identified (<xref ref-type="bibr" rid="B35">35</xref>). On the other hand, Tem (both CD4 and CD8) trended down in patients with irAE in a study investigated by Manfred, et al. (<xref ref-type="bibr" rid="B36">36</xref>). Additional work is needed to determine whether these different patterns represent mechanistic differences among different organ-specific irAE. Although the mechanisms of irMyocarditis are complex and incompletely understood, it is well established that irMyocarditis is mediated by the delicate regulation of the adaptive immune system. As their lineages of immune cells are interconnected, modulating the balance of their correlated T cell differentiation is a promising method for improving irMyocarditis.</p>
<p>The greatest challenges in the field of irMyocarditis surround monitoring, diagnosis and management, as well as the risks associated with re-challenge since decisions are based on expert opinion or retrospective data. Given the high mortality rate of irMyocarditis, an area of growing interest is biomarkers to predict irMyocarditis, like e.g., the composite biomarker score that includes the frequency of CD4 Tem cells in peripheral blood (<xref ref-type="bibr" rid="B35">35</xref>). Other biomarkers including cytokines, serum and other biological fluid proteins, genetic variations and gene profiles have been described as potential irMyocarditis predictors (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>). Our third finding regarding immunophenotyping indicated that T cell abundance could not serve as predictor for the development of cardiotoxicity. However, we observed LAG3 expression on T cells and PD-L1 expression on DC cells as potential predictive indicators for the occurrence of irMyocarditis comparing baseline immunophenotypes of irMyocarditis with patients without toxicity. Further studies will be needed to validate these proposed biomarkers.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>The very low mortality rate of 11.3&#x0025; for cardiac irAE in this cohort is remarkable and might be due to stringent monitoring since patients without troponin measurement were far more likely to die of the irAE. Our gene expression analyses imply an upregulation of IL6R and STAT2 and would thus suggest a more targeted therapy of the irAE with tocilizumab, or JAK-inhibitors, especially in steroid refractory irMyocarditis. Immunophenotyping of PBMC could enable early diagnosis of at risk groups that were characterized by enhanced Treg, Tem cells.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="sec" rid="s11"><bold>Supplementary Material</bold></xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics commission in Erlangen (17_16_Bc; 2_20_B) and Munich (20&#x2013;1,122), and the study followed the declaration of Helsinki. For patients enrolled elsewhere, each cancer center had approval or exemption of the respective institutional review board. All centers were acting according to their regulatory requirements. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>YW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization. CE: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CS: Conceptualization, Data curation, Funding acquisition, Investigation, Resources, Validation, Writing &#x2013; review &#x0026; editing. LH: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. RK: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. UG: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. FS: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. DA: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. IP: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. GP: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. JV: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. WF: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. LW: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. DT: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. CL: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. LZ: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. JM: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. RD: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. RG: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. K-CK: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. HS: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. FM: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. K-MT: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. PT: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. PB: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. DJ: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. LF: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. LH: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing, Conceptualization, Formal Analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Visualization, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The authors declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>The SERIO registry is supported by the German Foundation immuno-oncology (Stiftung Immunonkologie) (FA-21-002) and the Verein zur F&#x00F6;rderung des Tumorzentrums der Universit&#x00E4;t Erlangen-N&#x00FC;rnberg e.V. This work was also supported by the German Federal Ministry of Education and Research (BMBF) as part of the project emed:MelAutim (01ZX1905E to LH). Further funding was provided to I.P. by the Bavarian Cancer Research Center (BZKF) for personal costs and to D.A. by the German Research Foundation (DFG AN 801/4-1 and SFB TRR355). The Deutsche Gesellschaft f&#x00FC;r Muskelkranke (DGM) e.V. and the German Cancer Consortium (DKTK), Partner Site Charit&#x00E9; Berlin, supported the study. PJB is supported by an Excellence Stipend of the Else Kr&#x00F6;ner-Fresenius-Foundation (EKFS). The study&#x0027;s funders had no role in study design, data collection, analysis, and interpretation of data, or in the writing of the manuscript and the decision to submit the paper for publication.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>LH received speaker and consultancy fees from BiomeDx, BMS, Immunocore, Kyowa Kirin, Merck, MSD, Myoncare, Novartis, Pieris, Pierre-Fabre, Roche, Sanofi, Stemline Therapeutics, SUN and Therakos. The LMU received research grants or clinical study grants from Agenus, AstraZeneca Inc., BMS, Hoffmann-La Roche AG, Huya Bioscience, Immunocore, IO Biotech, Merck, Merck Sharp &#x0026;amp; Dome GmbH, Miltenyi Biomedicine GmbH, Novartis, Pfizer, Pierre Fabre, Regeneron, Replimune, and Sanofi Aventis. CE reports on speaker fees from BristolMyers Squibb, GSK, Immunocore, Kyowa Kirin, MSD CL received honoraria (lectures, presentations, speakers bureaus, manuscript writing or educational events) and travel support from: BMS, MSD Merck, Pierre-Fabre, Biontech, Almirall Hermal, Sun Pharma, KyowaKirin, Immunocore, Sanofi, Novartis. DT reports consultancy, speaker fees or travel grants: BMS, Roche, Novartis, Sanofi, Recordati, Kyowa Kirin, Sun Pharma and Pierre Fabre. LZ served as consultant and has received honoraria from BMS, MSD, Novartis, Pierre Fabre, Sanofi, and Sunpharma and travel support from MSD, BMS, Pierre Fabre, Sanofi, Sunpharma and Novartis, outside the submitted work. PJB reports research funding (inst) by BeiGene, BMS, MSD and Takeda; an advisory role to BeiGene, BMS, MSD, Need Inc., Stemline and Takeda; honoraria from BeiGene, BMS, Celgene, MSD, Need Inc., Stemline and Takeda and stock options from Need Inc. RG received honoraria for advice and lectures from BristolMyers Squibb, Roche Pharma, MerckSharpDohme, Novartis, Merck-Serono, Amgen, Almirall Hermal, Pierre-Fabre, Sun Pharma, Immunocore, 4SC, Delcath, Sanofi/Regeneron. Ralf Gutzmer received travel support from SUN Pharma, Boehringer Ingelheim and PierreFabre. Ralf Gutzmer received research grants from Novartis, Sanofi/Regeneron, Merck Serono, Amgen, SUN Pharma, KyowaKirin, Admiral Hermal. RD has intermittent, project focused consulting and/or advisory relationships with Novartis, Merck Sharp &#x0026;amp; Dhome (MSD), Bristol-Myers Squibb (BMS), Roche, Amgen, Takeda, Pierre Fabre, Sun Pharma, Sanofi, Catalym, Second Genome, Regeneron, Alligator, T3 Pharma, MaxiVAX SA, Pfizer, Simcere and touchIME outside the submitted work. All remaining authors have declared no conflicts of interest.</p>
<p>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.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;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>
<sec id="s11" 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/fcvm.2024.1408586/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2024.1408586/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Presentation1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Presentation2.pdf"/>
</supplementary-material>
<supplementary-material id="SD3" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Presentation3.pdf"/>
</supplementary-material>
<supplementary-material id="SD4" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Image1.pdf"/>
</supplementary-material>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vukadin</surname><given-names>S</given-names></name><name><surname>Khaznadar</surname><given-names>F</given-names></name><name><surname>Kizivat</surname><given-names>T</given-names></name><name><surname>Vcev</surname><given-names>A</given-names></name><name><surname>Smolic</surname><given-names>M</given-names></name></person-group>. <article-title>Molecular mechanisms of resistance to immune checkpoint inhibitors in melanoma treatment: an update</article-title>. <source>Biomedicines</source>. (<year>2021</year>) <volume>9</volume>(<issue>7</issue>):<fpage>835</fpage>. <pub-id pub-id-type="doi">10.3390/biomedicines9070835</pub-id><pub-id pub-id-type="pmid">34356899</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Khair</surname><given-names>DO</given-names></name><name><surname>Bax</surname><given-names>HJ</given-names></name><name><surname>Mele</surname><given-names>S</given-names></name><name><surname>Crescioli</surname><given-names>S</given-names></name><name><surname>Pellizzari</surname><given-names>G</given-names></name><name><surname>Khiabany</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Combining immune checkpoint inhibitors: established and emerging targets and strategies to improve outcomes in melanoma</article-title>. <source>Front Immunol</source>. (<year>2019</year>) <volume>10</volume>:<fpage>453</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2019.00453</pub-id><pub-id pub-id-type="pmid">30941125</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heinzerling</surname><given-names>L</given-names></name><name><surname>Ott</surname><given-names>PA</given-names></name><name><surname>Hodi</surname><given-names>FS</given-names></name><name><surname>Husain</surname><given-names>AN</given-names></name><name><surname>Tajmir-Riahi</surname><given-names>A</given-names></name><name><surname>Tawbi</surname><given-names>H</given-names></name><etal/></person-group> <article-title>Cardiotoxicity associated with CTLA4 and PD1 blocking immunotherapy</article-title>. <source>J Immunother Cancer</source>. (<year>2016</year>) <volume>4</volume>:<fpage>50</fpage>. <pub-id pub-id-type="doi">10.1186/s40425-016-0152-y</pub-id><pub-id pub-id-type="pmid">27532025</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Zlotoff</surname><given-names>DA</given-names></name><name><surname>Awadalla</surname><given-names>M</given-names></name><name><surname>Mahmood</surname><given-names>SS</given-names></name><name><surname>Nohria</surname><given-names>A</given-names></name><name><surname>Hassan</surname><given-names>MZO</given-names></name><etal/></person-group> <article-title>Major adverse cardiovascular events and the timing and dose of corticosteroids in immune checkpoint inhibitor-associated myocarditis</article-title>. <source>Circulation</source>. (<year>2020</year>) <volume>141</volume>(<issue>24</issue>):<fpage>2031</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.119.044703</pub-id><pub-id pub-id-type="pmid">32539614</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname><given-names>JR</given-names></name><name><surname>Florido</surname><given-names>R</given-names></name><name><surname>Lipson</surname><given-names>EJ</given-names></name><name><surname>Naidoo</surname><given-names>J</given-names></name><name><surname>Ardehali</surname><given-names>R</given-names></name><name><surname>Tocchetti</surname><given-names>CG</given-names></name><etal/></person-group> <article-title>Cardiovascular toxicities associated with immune checkpoint inhibitors</article-title>. <source>Cardiovasc Res</source>. (<year>2019</year>) <volume>115</volume>(<issue>5</issue>):<fpage>854</fpage>&#x2013;<lpage>68</lpage>. <pub-id pub-id-type="doi">10.1093/cvr/cvz026</pub-id><pub-id pub-id-type="pmid">30715219</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schneider</surname><given-names>BJ</given-names></name><name><surname>Naidoo</surname><given-names>J</given-names></name><name><surname>Santomasso</surname><given-names>BD</given-names></name><name><surname>Lacchetti</surname><given-names>C</given-names></name><name><surname>Adkins</surname><given-names>S</given-names></name><name><surname>Anadkat</surname><given-names>M</given-names></name><etal/></person-group> <article-title>Management of immune-related adverse events in patients treated with immune checkpoint inhibitor therapy: ASCO guideline update</article-title>. <source>J Clin Oncol</source>. (<year>2021</year>) <volume>39</volume>(<issue>36</issue>):<fpage>4073</fpage>&#x2013;<lpage>126</lpage>. <pub-id pub-id-type="doi">10.1200/JCO.21.01440</pub-id><pub-id pub-id-type="pmid">34724392</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lehmann</surname><given-names>LH</given-names></name><name><surname>Cautela</surname><given-names>J</given-names></name><name><surname>Palaskas</surname><given-names>N</given-names></name><name><surname>Baik</surname><given-names>AH</given-names></name><name><surname>Meijers</surname><given-names>WC</given-names></name><name><surname>Allenbach</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Clinical strategy for the diagnosis and treatment of immune checkpoint inhibitor-associated myocarditis: a narrative review</article-title>. <source>JAMA Cardiol</source>. (<year>2021</year>) <volume>6</volume>(<issue>11</issue>):<fpage>1329</fpage>&#x2013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1001/jamacardio.2021.2241</pub-id><pub-id pub-id-type="pmid">34232253</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salem</surname><given-names>JE</given-names></name><name><surname>Bretagne</surname><given-names>M</given-names></name><name><surname>Abbar</surname><given-names>B</given-names></name><name><surname>Leonard-Louis</surname><given-names>S</given-names></name><name><surname>Ederhy</surname><given-names>S</given-names></name><name><surname>Redheuil</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Abatacept/ruxolitinib and screening for concomitant respiratory muscle failure to mitigate fatality of immune-checkpoint inhibitor myocarditis</article-title>. <source>Cancer Discov</source>. (<year>2023</year>) <volume>13</volume>(<issue>5</issue>):<fpage>1100</fpage>&#x2013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1158/2159-8290.CD-22-1180</pub-id><pub-id pub-id-type="pmid">36815259</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lehmann</surname><given-names>LH</given-names></name><name><surname>Heckmann</surname><given-names>MB</given-names></name><name><surname>Bailly</surname><given-names>G</given-names></name><name><surname>Finke</surname><given-names>D</given-names></name><name><surname>Procureur</surname><given-names>A</given-names></name><name><surname>Power</surname><given-names>JR</given-names></name><etal/></person-group> <article-title>Cardiomuscular biomarkers in the diagnosis and prognostication of immune checkpoint inhibitor myocarditis</article-title>. <source>Circulation</source>. (<year>2023</year>) <volume>148</volume>(<issue>6</issue>):<fpage>473</fpage>&#x2013;<lpage>86</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.123.062405</pub-id><pub-id pub-id-type="pmid">37317858</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fenioux</surname><given-names>C</given-names></name><name><surname>Abbar</surname><given-names>B</given-names></name><name><surname>Boussouar</surname><given-names>S</given-names></name><name><surname>Bretagne</surname><given-names>M</given-names></name><name><surname>Power</surname><given-names>JR</given-names></name><name><surname>Moslehi</surname><given-names>JJ</given-names></name><etal/></person-group> <article-title>Thymus alterations and susceptibility to immune checkpoint inhibitor myocarditis</article-title>. <source>Nat Med</source>. (<year>2023</year>) <volume>29</volume>(<issue>12</issue>):<fpage>3100</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-023-02591-2</pub-id><pub-id pub-id-type="pmid">37884625</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mahmood</surname><given-names>SS</given-names></name><name><surname>Fradley</surname><given-names>MG</given-names></name><name><surname>Cohen</surname><given-names>JV</given-names></name><name><surname>Nohria</surname><given-names>A</given-names></name><name><surname>Reynolds</surname><given-names>KL</given-names></name><name><surname>Heinzerling</surname><given-names>LM</given-names></name><etal/></person-group> <article-title>Myocarditis in patients treated with immune checkpoint inhibitors</article-title>. <source>J Am Coll Cardiol</source>. (<year>2018</year>) <volume>71</volume>(<issue>16</issue>):<fpage>1755</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2018.02.037</pub-id><pub-id pub-id-type="pmid">29567210</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Ma</surname><given-names>P</given-names></name><name><surname>Liu</surname><given-names>J</given-names></name><name><surname>Qin</surname><given-names>J</given-names></name><name><surname>Lai</surname><given-names>L</given-names></name><name><surname>Heo</surname><given-names>GS</given-names></name><name><surname>Luehmann</surname><given-names>H</given-names></name><etal/></person-group> <comment>Expansion of disease specific cardiac macrophages in immune checkpoint inhibitor myocarditis. bioRxiv (2023)</comment>.</citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Blum</surname><given-names>SM</given-names></name><name><surname>Zlotoff</surname><given-names>DA</given-names></name><name><surname>Smith</surname><given-names>NP</given-names></name><name><surname>Kernin</surname><given-names>IJ</given-names></name><name><surname>Ramesh</surname><given-names>S</given-names></name><name><surname>Zubiri</surname><given-names>L</given-names></name><etal/></person-group> <comment>Immune responses in checkpoint myocarditis across heart, blood, and tumor. bioRxiv (2023)</comment>.</citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moreira</surname><given-names>A</given-names></name><name><surname>Loquai</surname><given-names>C</given-names></name><name><surname>Pf&#x00F6;hler</surname><given-names>C</given-names></name><name><surname>K&#x00E4;hler</surname><given-names>KC</given-names></name><name><surname>Knauss</surname><given-names>S</given-names></name><name><surname>Heppt</surname><given-names>MV</given-names></name><etal/></person-group> <article-title>Myositis and neuromuscular side-effects induced by immune checkpoint inhibitors</article-title>. <source>Eur J Cancer</source>. (<year>2019</year>) <volume>106</volume>:<fpage>12</fpage>&#x2013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1016/j.ejca.2018.09.033</pub-id><pub-id pub-id-type="pmid">30453170</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Puzanov</surname><given-names>I</given-names></name><name><surname>Diab</surname><given-names>A</given-names></name><name><surname>Abdallah</surname><given-names>K</given-names></name><name><surname>Bingham</surname><given-names>CO</given-names><suffix>3rd</suffix></name><name><surname>Brogdon</surname><given-names>C</given-names></name><name><surname>Dadu</surname><given-names>R</given-names></name><etal/></person-group> <article-title>Managing toxicities associated with immune checkpoint inhibitors: consensus recommendations from the society for immunotherapy of cancer (SITC) toxicity management working group</article-title>. <source>J Immunother Cancer</source>. (<year>2017</year>) <volume>5</volume>(<issue>1</issue>):<fpage>95</fpage>. <pub-id pub-id-type="doi">10.1186/s40425-017-0300-z</pub-id><pub-id pub-id-type="pmid">29162153</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Lin</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Hsi</surname><given-names>DH</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>T</given-names></name><etal/></person-group> <article-title>Case series of steroid-resistant immune checkpoint inhibitor associated myocarditis: a comparative analysis of corticosteroid and tofacitinib treatment</article-title>. <source>Front Pharmacol</source>. (<year>2021</year>) <volume>12</volume>:<fpage>770631</fpage>. <pub-id pub-id-type="doi">10.3389/fphar.2021.770631</pub-id><pub-id pub-id-type="pmid">34938185</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Haanen</surname><given-names>J</given-names></name><name><surname>Obeid</surname><given-names>M</given-names></name><name><surname>Spain</surname><given-names>L</given-names></name><name><surname>Carbonnel</surname><given-names>F</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Robert</surname><given-names>C</given-names></name><etal/></person-group> <article-title>Management of toxicities from immunotherapy: ESMO clinical practice guideline for diagnosis, treatment and follow-up</article-title>. <source>Ann Oncol</source>. (<year>2022</year>) <volume>33</volume>(<issue>12</issue>):<fpage>1217</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1016/j.annonc.2022.10.001</pub-id><pub-id pub-id-type="pmid">36270461</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thompson</surname><given-names>JA</given-names></name><name><surname>Schneider</surname><given-names>BJ</given-names></name><name><surname>Brahmer</surname><given-names>J</given-names></name><name><surname>Achufusi</surname><given-names>A</given-names></name><name><surname>Armand</surname><given-names>P</given-names></name><name><surname>Berkenstock</surname><given-names>MK</given-names></name><etal/></person-group> <article-title>Management of immunotherapy-related toxicities, version 1.2022, NCCN clinical practice guidelines in oncology</article-title>. <source>J Natl Compr Canc Netw</source>. (<year>2022</year>) <volume>20</volume>(<issue>4</issue>):<fpage>387</fpage>&#x2013;<lpage>405</lpage>. <pub-id pub-id-type="doi">10.6004/jnccn.2022.0020</pub-id><pub-id pub-id-type="pmid">35390769</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tajiri</surname><given-names>K</given-names></name><name><surname>Aonuma</surname><given-names>K</given-names></name><name><surname>Sekine</surname><given-names>I</given-names></name></person-group>. <article-title>Immune checkpoint inhibitor-related myocarditis</article-title>. <source>Jpn J Clin Oncol</source>. (<year>2017</year>) <volume>48</volume>(<issue>1</issue>):<fpage>7</fpage>&#x2013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1093/jjco/hyx154</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Johnson</surname><given-names>DB</given-names></name><name><surname>Balko</surname><given-names>JM</given-names></name><name><surname>Compton</surname><given-names>ML</given-names></name><name><surname>Chalkias</surname><given-names>S</given-names></name><name><surname>Gorham</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Fulminant myocarditis with combination immune checkpoint blockade</article-title>. <source>N Engl J Med</source>. (<year>2016</year>) <volume>375</volume>(<issue>18</issue>):<fpage>1749</fpage>&#x2013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1609214</pub-id><pub-id pub-id-type="pmid">27806233</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>H</given-names></name><name><surname>Galdos</surname><given-names>FX</given-names></name><name><surname>Lee</surname><given-names>D</given-names></name><name><surname>Waliany</surname><given-names>S</given-names></name><name><surname>Huang</surname><given-names>YV</given-names></name><name><surname>Ryan</surname><given-names>J</given-names></name><etal/></person-group> <article-title>Identification of pathogenic immune cell subsets associated with checkpoint inhibitor-induced myocarditis</article-title>. <source>Circulation</source>. (<year>2022</year>) <volume>146</volume>(<issue>4</issue>):<fpage>316</fpage>&#x2013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.121.056730</pub-id><pub-id pub-id-type="pmid">35762356</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Finke</surname><given-names>D</given-names></name><name><surname>Heckmann</surname><given-names>MB</given-names></name><name><surname>Salatzki</surname><given-names>J</given-names></name><name><surname>Riffel</surname><given-names>J</given-names></name><name><surname>Herpel</surname><given-names>E</given-names></name><name><surname>Heinzerling</surname><given-names>LM</given-names></name><etal/></person-group> <article-title>Comparative transcriptomics of immune checkpoint inhibitor myocarditis identifies guanylate binding protein 5 and 6 dysregulation</article-title>. <source>Cancers</source>. (<year>2021</year>) <volume>13</volume>(<issue>10</issue>):<fpage>2498</fpage>. <pub-id pub-id-type="doi">10.3390/cancers13102498</pub-id><pub-id pub-id-type="pmid">34065419</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>DY</given-names></name><name><surname>Salem</surname><given-names>JE</given-names></name><name><surname>Cohen</surname><given-names>JV</given-names></name><name><surname>Chandra</surname><given-names>S</given-names></name><name><surname>Menzer</surname><given-names>C</given-names></name><name><surname>Ye</surname><given-names>F</given-names></name><etal/></person-group> <article-title>Fatal toxic effects associated with immune checkpoint inhibitors: a systematic review and meta-analysis</article-title>. <source>JAMA Oncol</source>. (<year>2018</year>) <volume>4</volume>(<issue>12</issue>):<fpage>1721</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1001/jamaoncol.2018.3923</pub-id><pub-id pub-id-type="pmid">30242316</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Laissy</surname><given-names>JP</given-names></name><name><surname>Messin</surname><given-names>B</given-names></name><name><surname>Varenne</surname><given-names>O</given-names></name><name><surname>Iung</surname><given-names>B</given-names></name><name><surname>Karila-Cohen</surname><given-names>D</given-names></name><name><surname>Schouman-Claeys</surname><given-names>E</given-names></name><etal/></person-group> <article-title>MRI of acute myocarditis: a comprehensive approach based on various imaging sequences</article-title>. <source>Chest</source>. (<year>2002</year>) <volume>122</volume>(<issue>5</issue>):<fpage>1638</fpage>&#x2013;<lpage>48</lpage>. <pub-id pub-id-type="doi">10.1378/chest.122.5.1638</pub-id><pub-id pub-id-type="pmid">12426265</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salem</surname><given-names>JE</given-names></name><name><surname>Manouchehri</surname><given-names>A</given-names></name><name><surname>Moey</surname><given-names>M</given-names></name><name><surname>Lebrun-Vignes</surname><given-names>B</given-names></name><name><surname>Bastarache</surname><given-names>L</given-names></name><name><surname>Pariente</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Cardiovascular toxicities associated with immune checkpoint inhibitors: an observational, retrospective, pharmacovigilance study</article-title>. <source>Lancet Oncol</source>. (<year>2018</year>) <volume>19</volume>(<issue>12</issue>):<fpage>1579</fpage>&#x2013;<lpage>89</lpage>. <pub-id pub-id-type="doi">10.1016/S1470-2045(18)30608-9</pub-id><pub-id pub-id-type="pmid">30442497</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Norwood</surname><given-names>TG</given-names></name><name><surname>Westbrook</surname><given-names>BC</given-names></name><name><surname>Johnson</surname><given-names>DB</given-names></name><name><surname>Litovsky</surname><given-names>SH</given-names></name><name><surname>Terry</surname><given-names>NL</given-names></name><name><surname>McKee</surname><given-names>SB</given-names></name><etal/></person-group> <article-title>Smoldering myocarditis following immune checkpoint blockade</article-title>. <source>J Immunother Cancer</source>. (<year>2017</year>) <volume>5</volume>(<issue>1</issue>):<fpage>91</fpage>. <pub-id pub-id-type="doi">10.1186/s40425-017-0296-4</pub-id><pub-id pub-id-type="pmid">29157297</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tajmir-Riahi</surname><given-names>A</given-names></name><name><surname>Bergmann</surname><given-names>T</given-names></name><name><surname>Schmid</surname><given-names>M</given-names></name><name><surname>Agaimy</surname><given-names>A</given-names></name><name><surname>Schuler</surname><given-names>G</given-names></name><name><surname>Heinzerling</surname><given-names>L</given-names></name></person-group>. <article-title>Life-threatening autoimmune cardiomyopathy reproducibly induced in a patient by checkpoint inhibitor therapy</article-title>. <source>J Immunother</source>. (<year>2018</year>) <volume>41</volume>(<issue>1</issue>):<fpage>35</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1097/CJI.0000000000000190</pub-id><pub-id pub-id-type="pmid">29077601</pub-id></citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Husain</surname><given-names>B</given-names></name><name><surname>Kirchberger</surname><given-names>MC</given-names></name><name><surname>Erdmann</surname><given-names>M</given-names></name><name><surname>Sch&#x00FC;pferling</surname><given-names>S</given-names></name><name><surname>Abolhassani</surname><given-names>AR</given-names></name><name><surname>Fr&#x00F6;hlich</surname><given-names>W</given-names></name><etal/></person-group> <article-title>Inflammatory markers in autoimmunity induced by checkpoint inhibitors</article-title>. <source>J Cancer Res Clin Oncol</source>. (<year>2021</year>) <volume>147</volume>(<issue>6</issue>):<fpage>1623</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1007/s00432-021-03550-5</pub-id><pub-id pub-id-type="pmid">33837821</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Doms</surname><given-names>J</given-names></name><name><surname>Prior</surname><given-names>JO</given-names></name><name><surname>Peters</surname><given-names>S</given-names></name><name><surname>Obeid</surname><given-names>M</given-names></name></person-group>. <article-title>Tocilizumab for refractory severe immune checkpoint inhibitor-associated myocarditis</article-title>. <source>Ann Oncol</source>. (<year>2020</year>) <volume>31</volume>(<issue>9</issue>):<fpage>1273</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1016/j.annonc.2020.05.005</pub-id><pub-id pub-id-type="pmid">32425357</pub-id></citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fa&#x0027;ak</surname><given-names>F</given-names></name><name><surname>Buni</surname><given-names>M</given-names></name><name><surname>Falohun</surname><given-names>A</given-names></name><name><surname>Lu</surname><given-names>H</given-names></name><name><surname>Song</surname><given-names>J</given-names></name><name><surname>Johnson</surname><given-names>DH</given-names></name><etal/></person-group> <article-title>Selective immune suppression using interleukin-6 receptor inhibitors for management of immune-related adverse events</article-title>. <source>J Immunother Cancer</source>. (<year>2023</year>) <volume>11</volume>(<issue>6</issue>):<fpage>e006814</fpage>. <pub-id pub-id-type="doi">10.1136/jitc-2023-006814</pub-id></citation></ref>
<ref id="B31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Jiang</surname><given-names>L</given-names></name></person-group>. <article-title>Tofacitinib for treatment in immune-mediated myocarditis: the first reported cases</article-title>. <source>J Oncol Pharm Pract</source>. (<year>2020</year>) <volume>27</volume>:<fpage>739</fpage>&#x2013;<lpage>46</lpage>.</citation></ref>
<ref id="B32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gonz&#x00E1;lez-Navajas</surname><given-names>JM</given-names></name><name><surname>Fan</surname><given-names>DD</given-names></name><name><surname>Yang</surname><given-names>S</given-names></name><name><surname>Yang</surname><given-names>FM</given-names></name><name><surname>Lozano-Ruiz</surname><given-names>B</given-names></name><name><surname>Shen</surname><given-names>L</given-names></name><etal/></person-group> <article-title>The impact of Tregs on the anticancer immunity and the efficacy of immune checkpoint inhibitor therapies</article-title>. <source>Front Immunol</source>. (<year>2021</year>) <volume>12</volume>:<fpage>625783</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2021.625783</pub-id></citation></ref>
<ref id="B33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lepper</surname><given-names>A</given-names></name><name><surname>Bitsch</surname><given-names>R</given-names></name><name><surname>&#x00D6;zbay Kurt</surname><given-names>FG</given-names></name><name><surname>Arkhypov</surname><given-names>I</given-names></name><name><surname>Lasser</surname><given-names>S</given-names></name><name><surname>Utikal</surname><given-names>J</given-names></name><etal/></person-group> <article-title>Melanoma patients with immune-related adverse events after immune checkpoint inhibitors are characterized by a distinct immunological phenotype of circulating T cells and M-MDSCs</article-title>. <source>Oncoimmunology</source>. (<year>2023</year>) <volume>12</volume>(<issue>1</issue>):<fpage>2247303</fpage>. <pub-id pub-id-type="doi">10.1080/2162402X.2023.2247303</pub-id><pub-id pub-id-type="pmid">37593676</pub-id></citation></ref>
<ref id="B34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>KH</given-names></name><name><surname>Hur</surname><given-names>JY</given-names></name><name><surname>Cho</surname><given-names>J</given-names></name><name><surname>Ku</surname><given-names>BM</given-names></name><name><surname>Koh</surname><given-names>J</given-names></name><name><surname>Koh</surname><given-names>JY</given-names></name><etal/></person-group> <article-title>Immune-related adverse events are clustered into distinct subtypes by T-cell profiling before and early after anti-PD-1 treatment</article-title>. <source>Oncoimmunology</source>. (<year>2020</year>) <volume>9</volume>(<issue>1</issue>):<fpage>1722023</fpage>. <pub-id pub-id-type="doi">10.1080/2162402X.2020.1722023</pub-id><pub-id pub-id-type="pmid">32076579</pub-id></citation></ref>
<ref id="B35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lozano</surname><given-names>AX</given-names></name><name><surname>Chaudhuri</surname><given-names>AA</given-names></name><name><surname>Nene</surname><given-names>A</given-names></name><name><surname>Bacchiocchi</surname><given-names>A</given-names></name><name><surname>Earland</surname><given-names>N</given-names></name><name><surname>Vesely</surname><given-names>MD</given-names></name><etal/></person-group> <article-title>T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma</article-title>. <source>Nat Med</source>. (<year>2022</year>) <volume>28</volume>(<issue>2</issue>):<fpage>353</fpage>&#x2013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-021-01623-z</pub-id><pub-id pub-id-type="pmid">35027754</pub-id></citation></ref>
<ref id="B36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reschke</surname><given-names>R</given-names></name><name><surname>Gussek</surname><given-names>P</given-names></name><name><surname>Boldt</surname><given-names>A</given-names></name><name><surname>Sack</surname><given-names>U</given-names></name><name><surname>K&#x00F6;hl</surname><given-names>U</given-names></name><name><surname>Lordick</surname><given-names>F</given-names></name><etal/></person-group> <article-title>Distinct immune signatures indicative of treatment response and immune-related adverse events in melanoma patients under immune checkpoint inhibitor therapy</article-title>. <source>Int J Mol Sci</source>. (<year>2021</year>) <volume>22</volume>(<issue>15</issue>):<fpage>1167</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.3390/ijms22158017</pub-id><pub-id pub-id-type="pmid">33503881</pub-id></citation></ref>
<ref id="B37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Les</surname><given-names>I</given-names></name><name><surname>Mart&#x00ED;nez</surname><given-names>M</given-names></name><name><surname>P&#x00E9;rez-Francisco</surname><given-names>I</given-names></name><name><surname>Cabero</surname><given-names>M</given-names></name><name><surname>Teijeira</surname><given-names>L</given-names></name><name><surname>Arrazubi</surname><given-names>V</given-names></name><etal/></person-group> <article-title>Predictive biomarkers for checkpoint inhibitor immune-related adverse events</article-title>. <source>Cancers (Basel)</source>. (<year>2023</year>) <volume>15</volume>(<issue>5</issue>):<fpage>1629</fpage>. <pub-id pub-id-type="doi">10.3390/cancers15051629</pub-id><pub-id pub-id-type="pmid">36900420</pub-id></citation></ref>
<ref id="B38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Takai</surname><given-names>R</given-names></name><name><surname>Funakoshi</surname><given-names>Y</given-names></name><name><surname>Suto</surname><given-names>H</given-names></name><name><surname>Nagatani</surname><given-names>Y</given-names></name><name><surname>Imamura</surname><given-names>Y</given-names></name><name><surname>Toyoda</surname><given-names>M</given-names></name><etal/></person-group> <article-title>Serum soluble interleukin-2 receptor as a potential biomarker for immune-related adverse events</article-title>. <source>Anticancer Res</source>. (<year>2021</year>) <volume>41</volume>(<issue>2</issue>):<fpage>1021</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.21873/anticanres.14857</pub-id><pub-id pub-id-type="pmid">33517310</pub-id></citation></ref>
<ref id="B39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shahabi</surname><given-names>V</given-names></name><name><surname>Berman</surname><given-names>D</given-names></name><name><surname>Chasalow</surname><given-names>SD</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Tsuchihashi</surname><given-names>Z</given-names></name><name><surname>Hu</surname><given-names>B</given-names></name><etal/></person-group> <article-title>Gene expression profiling of whole blood in ipilimumab-treated patients for identification of potential biomarkers of immune-related gastrointestinal adverse events</article-title>. <source>J Transl Med</source>. (<year>2013</year>) <volume>11</volume>:<fpage>75</fpage>. <pub-id pub-id-type="doi">10.1186/1479-5876-11-75</pub-id><pub-id pub-id-type="pmid">23521917</pub-id></citation></ref>
<ref id="B40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miyama</surname><given-names>Y</given-names></name><name><surname>Kaneko</surname><given-names>G</given-names></name><name><surname>Nishimoto</surname><given-names>K</given-names></name><name><surname>Yasuda</surname><given-names>M</given-names></name></person-group>. <article-title>Lower neutrophil-to-lymphocyte ratio and positive programmed cell death ligand-1 expression are favorable prognostic markers in patients treated with pembrolizumab for urothelial carcinoma</article-title>. <source>Cancer Med</source>. (<year>2022</year>) <volume>11</volume>(<issue>22</issue>):<fpage>4236</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1002/cam4.4779</pub-id><pub-id pub-id-type="pmid">35699000</pub-id></citation></ref></ref-list>
</back>
</article>