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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>d8e1462159</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">40425</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">s40425-019-0800-0</article-id><article-id pub-id-type="manuscript">800</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0800-0</article-id><article-id pub-id-type="pmid">31722735</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/299.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="article-collection" specific-use="SubjectSection"><subject>Clinical/Translational Cancer Immunotherapy</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Clinical/Translational Cancer Immunotherapy</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Clinical/Translational Cancer Immunotherapy</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title xml:lang="en">Combined immune checkpoint blockade for metastatic uveal melanoma: a retrospective, multi-center study</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Heppt</surname><given-names>Markus V.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amaral</surname><given-names>Teresa</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kähler</surname><given-names>Katharina C.</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Heinzerling</surname><given-names>Lucie</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hassel</surname><given-names>Jessica C.</given-names></name><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meissner</surname><given-names>Markus</given-names></name><xref ref-type="aff" rid="Aff7">7</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kreuzberg</surname><given-names>Nicole</given-names></name><xref ref-type="aff" rid="Aff8">8</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Loquai</surname><given-names>Carmen</given-names></name><xref ref-type="aff" rid="Aff9">9</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Reinhardt</surname><given-names>Lydia</given-names></name><xref ref-type="aff" rid="Aff10">10</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Utikal</surname><given-names>Jochen</given-names></name><xref ref-type="aff" rid="Aff11">11</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dabrowski</surname><given-names>Evelyn</given-names></name><xref ref-type="aff" rid="Aff12">12</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gesierich</surname><given-names>Anja</given-names></name><xref ref-type="aff" rid="Aff13">13</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pföhler</surname><given-names>Claudia</given-names></name><xref ref-type="aff" rid="Aff14">14</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Terheyden</surname><given-names>Patrick</given-names></name><xref ref-type="aff" rid="Aff15">15</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thoms</surname><given-names>Kai-Martin</given-names></name><xref ref-type="aff" rid="Aff16">16</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zimmer</surname><given-names>Lisa</given-names></name><xref ref-type="aff" rid="Aff17">17</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eigentler</surname><given-names>Thomas K.</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kirchberger</surname><given-names>Michael C.</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stege</surname><given-names>Henner M.</given-names></name><xref ref-type="aff" rid="Aff9">9</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meier</surname><given-names>Friedegund</given-names></name><xref ref-type="aff" rid="Aff10">10</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schlaak</surname><given-names>Max</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><name name-style="western"><surname>Berking</surname><given-names>Carola</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="IDs4042501908000_cor22">v</xref></contrib><aff id="Aff1">
<label>1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0477 2585</institution-id><institution-id institution-id-type="GRID">grid.411095.8</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology and Allergy</institution><institution content-type="org-name" xlink:type="simple">Munich University Hospital (LMU)</institution></institution-wrap>
<addr-line content-type="street">Frauenlobstr. 9-11</addr-line>
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<addr-line content-type="city">Munich</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff2">
<label>2</label>
<institution-wrap><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)</institution></institution-wrap>
<addr-line content-type="street">Ulmenweg 18</addr-line>
<addr-line content-type="postcode">91054</addr-line>
<addr-line content-type="city">Erlangen</addr-line>
<country country="DE">Germany</country>
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<label>3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0196 8249</institution-id><institution-id institution-id-type="GRID">grid.411544.1</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology, Center for Dermatooncology</institution><institution content-type="org-name" xlink:type="simple">University Hospital Tübingen</institution></institution-wrap>
<addr-line content-type="street">Liebermeisterstr. 25</addr-line>
<addr-line content-type="postcode">72076</addr-line>
<addr-line content-type="city">Tübingen</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff4">
<label>4</label>
<institution-wrap><institution content-type="org-name" xlink:type="simple">Portuguese Air Force Health Care Direction</institution></institution-wrap>
<addr-line content-type="city">Lisbon</addr-line>
<country country="PT">Portugal</country>
</aff><aff id="Aff5">
<label>5</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0646 2097</institution-id><institution-id institution-id-type="GRID">grid.412468.d</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Hospital Schleswig-Holstein</institution></institution-wrap>
<addr-line content-type="street">Campus Kiel, Rosalind-Franklin-Str. 7</addr-line>
<addr-line content-type="postcode">24105</addr-line>
<addr-line content-type="city">Kiel</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff6">
<label>6</label>
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<addr-line content-type="street">Im Neuenheimer Feld 460</addr-line>
<addr-line content-type="postcode">69120</addr-line>
<addr-line content-type="city">Heidelberg</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff7">
<label>7</label>
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<addr-line content-type="street">Theodor-Stern Kai 7</addr-line>
<addr-line content-type="postcode">60590</addr-line>
<addr-line content-type="city">Frankfurt am Main</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff8">
<label>8</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0000 8852 305X</institution-id><institution-id institution-id-type="GRID">grid.411097.a</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology and Venereology, Skin Cancer Center at the Center of Integrated Oncology (CIO) Köln Bonn</institution><institution content-type="org-name" xlink:type="simple">University Hospital of Cologne</institution></institution-wrap>
<addr-line content-type="street">Kerpenerstr. 62</addr-line>
<addr-line content-type="postcode">50937</addr-line>
<addr-line content-type="city">Cologne</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff9">
<label>9</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.410607.4</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Medical Center Mainz</institution></institution-wrap>
<addr-line content-type="street">Langenbeckstr. 1</addr-line>
<addr-line content-type="postcode">55131</addr-line>
<addr-line content-type="city">Mainz</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff10">
<label>10</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 1091 2917</institution-id><institution-id institution-id-type="GRID">grid.412282.f</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology, Skin Cancer Center</institution><institution content-type="org-name" xlink:type="simple">Medical Faculty and University Hospital Carl Gustav Carus</institution></institution-wrap>
<addr-line content-type="street">TU Dresden, Fetscherstr. 74</addr-line>
<addr-line content-type="postcode">01307</addr-line>
<addr-line content-type="city">Dresden</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff11">
<label>11</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2162 1728</institution-id><institution-id institution-id-type="GRID">grid.411778.c</institution-id><institution content-type="org-division" xlink:type="simple">Skin Cancer Unit, German Cancer Research Center (DKFZ) and Department of Dermatology, Venereology and Allergology</institution><institution content-type="org-name" xlink:type="simple">University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg</institution></institution-wrap>
<addr-line content-type="street">Theodor-Kutzer-Ufer 1-3</addr-line>
<addr-line content-type="postcode">68167</addr-line>
<addr-line content-type="city">Mannheim</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff12">
<label>12</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0399 8793</institution-id><institution-id institution-id-type="GRID">grid.413225.3</institution-id><institution content-type="org-name" xlink:type="simple">Department of Dermatology, Klinikum Ludwigshafen</institution></institution-wrap>
<addr-line content-type="street">Bremserstr. 79</addr-line>
<addr-line content-type="postcode">67063</addr-line>
<addr-line content-type="city">Ludwigshafen</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff13">
<label>13</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 1378 7891</institution-id><institution-id institution-id-type="GRID">grid.411760.5</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Hospital Würzburg</institution></institution-wrap>
<addr-line content-type="street">Josef-Schneider Straße 2</addr-line>
<addr-line content-type="postcode">97080</addr-line>
<addr-line content-type="city">Würzburg</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff14">
<label>14</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">Saarland University Medical School</institution></institution-wrap>
<addr-line content-type="street">Kirrbergerstr</addr-line>
<addr-line content-type="postcode">66421</addr-line>
<addr-line content-type="city">Homburg/Saar</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff15">
<label>15</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0057 2672</institution-id><institution-id institution-id-type="GRID">grid.4562.5</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University of Lübeck</institution></institution-wrap>
<addr-line content-type="street">Ratzeburger Allee 160</addr-line>
<addr-line content-type="postcode">23538</addr-line>
<addr-line content-type="city">Lübeck</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff16">
<label>16</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0482 5331</institution-id><institution-id institution-id-type="GRID">grid.411984.1</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Medical Center Göttingen</institution></institution-wrap>
<addr-line content-type="street">Robert-Koch-Str. 40</addr-line>
<addr-line content-type="postcode">37075</addr-line>
<addr-line content-type="city">Göttingen</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff17">
<label>17</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2187 5445</institution-id><institution-id institution-id-type="GRID">grid.5718.b</institution-id><institution content-type="org-division" xlink:type="simple">Department of Dermatology</institution><institution content-type="org-name" xlink:type="simple">University Hospital, University Duisburg-Essen</institution></institution-wrap>
<addr-line content-type="street">Hufelandstr. 55</addr-line>
<addr-line content-type="postcode">45147</addr-line>
<addr-line content-type="city">Essen</addr-line>
<country country="DE">Germany</country>
</aff></contrib-group><author-notes><corresp id="IDs4042501908000_cor22">
<label>v</label>
<phone>0049-9131-8533661</phone>
<email xlink:type="simple">Carola.Berking@uk-erlangen.de</email>
</corresp><fn fn-type="other"><label>Publisher’s Note</label><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></fn></author-notes><pub-date date-type="pub" iso-8601-date="2019-12" pub-type="ppub" publication-format="print"><month>12</month><year>2019</year></pub-date><pub-date date-type="pub" iso-8601-date="2019-11-13" pub-type="epub-original" publication-format="electronic"><day>13</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-received"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-created"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-13T00:00:00-08:00" pub-type="epub"><day>13</day><month>11</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>299</elocation-id><history><date date-type="received" iso-8601-date="2019-07-20"><day>20</day><month>7</month><year>2019</year></date><date date-type="accepted" iso-8601-date="2019-10-30"><day>30</day><month>10</month><year>2019</year></date></history><permissions><copyright-statement>© The Author(s).</copyright-statement><copyright-year>2019</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/" xlink:type="simple"><license-p>
<bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/" xlink:type="simple">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="40425_2019_Article_800_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><sec id="ASec1"><title>Background</title><p id="Par1">Uveal melanoma (UM) is highly refractory to treatment with dismal prognosis in advanced stages. The value of the combined checkpoint blockade with CTLA-4 and PD-1 inhibition in metastatic UM is currently unclear.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">Patients with metastatic or unresectable UM treated with ipilimumab in combination with a PD-1 inhibitor were collected from 16 German skin cancer centers. Patient records of 64 cases were analyzed for response, progression-free survival (PFS), overall survival (OS), and safety. Clinical parameters and serum biomarkers associated with OS and treatment response were determined with Cox regression modelling and logistic regression.</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">The best overall response rate to combined checkpoint blockade was 15.6% with 3.1 and 12.5% complete and partial response, respectively. The median duration of response was 25.5 months (range 9.0–65.0). Stable disease was achieved in 21.9%, resulting in a disease control rate of 37.5% with a median duration of the clinical benefit of 28.0 months (range 7.0–65.0). The median PFS was 3.0 months (95% CI 2.4–3.6). The median OS was estimated to 16.1 months (95% CI 12.9–19.3). Regarding safety, 39.1% of treated patients experienced a severe, treatment-related adverse event according to the CTCAE criteria (grade 3: 37.5%; grade 4: 1.6%). The most common toxicities were colitis (20.3%), hepatitis (20.3%), thyreoiditis (15.6%), and hypophysitis (7.8%). A poor ECOG performance status was an independent risk factor for decreased OS (<italic toggle="yes">p</italic> = 0.007).</p></sec><sec id="ASec4"><title>Conclusions</title><p id="Par4">The tolerability of the combined checkpoint blockade in UM may possibly be better than in trials on cutaneous melanoma. This study implies that combined checkpoint blockade represents the hitherto most effective treatment option available for metastatic UM available outside of clinical trials.</p></sec></abstract><kwd-group xml:lang="en"><kwd>Ipilimumab</kwd><kwd>Nivolumab</kwd><kwd>Combined immune checkpoint blockade</kwd><kwd>Uveal melanoma</kwd><kwd>Biomarker</kwd></kwd-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>publisher-imprint-name</meta-name><meta-value>BioMed Central</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-issue-count</meta-name><meta-value>2</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-article-count</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-pricelist-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-holder</meta-name><meta-value>The Author(s)</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-contains-esm</meta-name><meta-value>Yes</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-month</meta-name><meta-value>10</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>30</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-product</meta-name><meta-value>ArchiveJournal</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-grants-type</meta-name><meta-value>OpenChoice</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>metadata-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>abstract-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodypdf-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodyhtml-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bibliography-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>esm-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>online-first</meta-name><meta-value>false</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-file-reference</meta-name><meta-value>BodyRef/PDF/40425_2019_Article_800.pdf</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-type</meta-name><meta-value>Typeset</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>target-type</meta-name><meta-value>OnlinePDF</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-type</meta-name><meta-value>OriginalPaper</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-primary</meta-name><meta-value>Medicine &amp; Public Health</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Oncology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Immunology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-collection</meta-name><meta-value>Medicine</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>open-access</meta-name><meta-value>true</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>special-property</meta-name><meta-value>contains-inline-supplementary-material</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par22">Uveal melanoma (UM) is a malignant tumor of the eye that originates from the pigment cells of the choroid layer or the ciliary body which is clinically and biologically distinct from cutaneous melanoma. Although the incidence is much lower than that of cutaneous melanoma, UM belongs to the most common malignant intraocular tumors in adults [<xref ref-type="bibr" rid="CR1">1</xref>]. In approximately 50% of all cases, patients develop distant metastasis during the course of the disease, which affects predominantly the liver. Clinical risk factors for metastases are posterior localization in the eye, tumor size of more than 10 mm, and presence of vascular loops. Molecular biomarkers associated with a higher risk of metastasis are monosomy 3 or genomic alterations of BAP-1 [<xref ref-type="bibr" rid="CR2">2</xref>]. Once distant metastases have occurred, the prognosis is dismal with an average survival time of approximately 1 year across all therapeutic regimens [<xref ref-type="bibr" rid="CR3">3</xref>].</p><p id="Par23">Patients with metastatic UM have so far benefited little or not at all from the treatment innovations achieved in cutaneous melanoma in recent years. Neither targeted therapy with MEK inhibitors nor checkpoint blockade with ipilimumab or PD-1 inhibitors as monotherapy was able to significantly improve the prognosis of patients with UM [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR5">5</xref>]. The response rates were consistently in the single-digit percentage range in a panel of previous studies [<xref ref-type="bibr" rid="CR6">6</xref>–<xref ref-type="bibr" rid="CR9">9</xref>]. In cutaneous melanoma, combined checkpoint blockade with ipilimumab and nivolumab revealed response rates and survival outcomes superior to PD-1 inhibitor monotherapy, albeit at the cost of high immune-related toxicity [<xref ref-type="bibr" rid="CR10">10</xref>]. However, the significance of combined checkpoint blockade in UM is unclear and has only been investigated in case reports and small case series [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR12">12</xref>]. In this study, we evaluate the clinical course of 64 patients with metastatic UM who received combined checkpoint blockade. We report clinical outcomes with respect to response, survival, and adverse events (AE). Furthermore, clinical and laboratory parameters were investigated which may have prognostic value in UM patients treated with checkpoint blockade.</p></sec><sec id="Sec2" sec-type="methods"><title>Patients and methods</title><sec id="Sec3"><title>Patient population and study approval</title><p id="Par24">This study was designed as a retrospective multi-center explorative analysis. Patients were included if they had a diagnosis of stage IV UM and received combined checkpoint blockade of ipilimumab with a PD-1 inhibitor in any treatment line. A follow-up period of at least 3 months was required. The clinical data of 64 patients from 16 German skin cancer centers who met the inclusion criteria were investigated. The cases were collected from June 23, 2018 to October 4, 2019. Clinical data and the treatment outcomes of interest were extracted from the original patient records and merged into a central database prior to analysis. This study was approved by the institutional review board of the medical faculty of the Munich University Hospital (approval number 413–16 UE) and was conducted in accordance with the principles of the Helsinki Declaration in its current version.</p></sec><sec id="Sec4"><title>Data collection and treatment outcomes</title><p id="Par25">The clinical data recorded at baseline prior to immunotherapy comprised demographics with Eastern Cooperative Oncology Group (ECOG) performance status, available information on the genotype, sites of metastasis, number of organ systems affected by metastases, and previous antineoplastic therapies. As potential serum biomarkers, lactate dehydrogenase (LDH), C-reactive protein (CRP), and the relative counts of lymphocytes (RLC), neutrophils (RNC), and eosinophils (REC) were specifically collected from patient charts and analyzed for their prognostic value [<xref ref-type="bibr" rid="CR13">13</xref>, <xref ref-type="bibr" rid="CR14">14</xref>].</p><p id="Par26">Combined checkpoint blockade was carried out using different treatment schedules (Table <xref rid="Tab1" ref-type="table">1</xref>). Ipilimumab was given at either 3 mg/kg or 1 mg/kg body weight for up to 4 treatment cycles. Nivolumab was applied at 1 mg/kg together with ipilimumab, followed by 3 mg/kg every 2 weeks (Q2W) as maintenance therapy. Treatment with pembrolizumab was applied every 3 weeks (Q3W) at 2 mg/kg. Patients were treated until disease progression or until the development of unacceptable toxicity. AE were retrospectively graded by the site investigators based on the patient records and clinical outcomes according to the Common Terminology Criteria for Adverse Events (CTCAE) v5.0 published by the National Institutes of Health in 2017. Immune-related adverse events were managed according to pertinent guidelines and algorithms that were previously published [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR16">16</xref>]. Besides, fatal adverse events and events leading to permanent discontinuation of treatment were specifically recorded and evaluated. The best radiologic response to treatment was assessed by the site investigators and indicated as complete response, partial response, stable disease, or progressive disease based on the RECIST criteria version 1.1 [<xref ref-type="bibr" rid="CR17">17</xref>]. Complete response and partial response were summarized as best overall response rate (ORR). Complete response, partial response, and stable disease were summarized as disease control rate (DCR).<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Baseline characteristics of the patient population</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1"/><th rowspan="1" colspan="1">Patient populationn = 64 (100%)</th></tr></thead><tbody><tr><td colspan="2" rowspan="1">Gender</td></tr><tr><td rowspan="1" colspan="1"> Male</td><td rowspan="1" colspan="1">33 (51.6)</td></tr><tr><td rowspan="1" colspan="1"> Female</td><td rowspan="1" colspan="1">31 (48.4)</td></tr><tr><td colspan="2" rowspan="1">Age</td></tr><tr><td rowspan="1" colspan="1"> &lt; 60 years</td><td rowspan="1" colspan="1">28 (43.8)</td></tr><tr><td rowspan="1" colspan="1"> ≥ 60 years</td><td rowspan="1" colspan="1">36 (56.2)</td></tr><tr><td colspan="2" rowspan="1">GNAQ</td></tr><tr><td rowspan="1" colspan="1"> Mutated</td><td rowspan="1" colspan="1">8 (12.5)</td></tr><tr><td rowspan="1" colspan="1"> Wildtype</td><td rowspan="1" colspan="1">8 (12.5)</td></tr><tr><td rowspan="1" colspan="1"> Unknown</td><td rowspan="1" colspan="1">48 (75.0)</td></tr><tr><td colspan="2" rowspan="1">GNA11</td></tr><tr><td rowspan="1" colspan="1"> Mutated</td><td rowspan="1" colspan="1">10 (15.6)</td></tr><tr><td rowspan="1" colspan="1"> Wildtype</td><td rowspan="1" colspan="1">5 (7.8)</td></tr><tr><td rowspan="1" colspan="1"> Unknown</td><td rowspan="1" colspan="1">49 (76.6)</td></tr><tr><td colspan="2" rowspan="1">ECOG status</td></tr><tr><td rowspan="1" colspan="1"> 0</td><td rowspan="1" colspan="1">49 (76.6)</td></tr><tr><td rowspan="1" colspan="1"> 1</td><td rowspan="1" colspan="1">11 (17.2)</td></tr><tr><td rowspan="1" colspan="1"> 2</td><td rowspan="1" colspan="1">1 (1.6)</td></tr><tr><td rowspan="1" colspan="1"> 3</td><td rowspan="1" colspan="1">1 (1.6)</td></tr><tr><td rowspan="1" colspan="1"> Unknown</td><td rowspan="1" colspan="1">2 (3.1)</td></tr><tr><td colspan="2" rowspan="1">Serum LDH</td></tr><tr><td rowspan="1" colspan="1"> Normal</td><td rowspan="1" colspan="1">28 (43.8)</td></tr><tr><td rowspan="1" colspan="1"> Elevated (&gt;ULN)</td><td rowspan="1" colspan="1">33 (51.6)</td></tr><tr><td rowspan="1" colspan="1"> Unknown</td><td rowspan="1" colspan="1">3 (4.7)</td></tr><tr><td colspan="2" rowspan="1">Previous systemic therapies</td></tr><tr><td rowspan="1" colspan="1"> 0</td><td rowspan="1" colspan="1">50 (78.1)</td></tr><tr><td rowspan="1" colspan="1"> 1</td><td rowspan="1" colspan="1">12 (18.8)</td></tr><tr><td rowspan="1" colspan="1"> ≥ 2</td><td rowspan="1" colspan="1">2 (3.1)</td></tr><tr><td rowspan="1" colspan="1"> Previous ipilimumab monotherapy</td><td rowspan="1" colspan="1">2 (3.1)</td></tr><tr><td rowspan="1" colspan="1"> Previous PD-1 inhibitor monotherapy</td><td rowspan="1" colspan="1">12 (18.8)</td></tr><tr><td colspan="2" rowspan="1">Liver-directed therapies</td></tr><tr><td rowspan="1" colspan="1"> 0</td><td rowspan="1" colspan="1">33 (51.6)</td></tr><tr><td rowspan="1" colspan="1"> 1</td><td rowspan="1" colspan="1">30 (46.9)</td></tr><tr><td rowspan="1" colspan="1">  ≥ 2</td><td rowspan="1" colspan="1">1 (1.6)</td></tr><tr><td colspan="2" rowspan="1">Metastatic sitesa</td></tr><tr><td rowspan="1" colspan="1"> Liver</td><td rowspan="1" colspan="1">58 (90.6)</td></tr><tr><td rowspan="1" colspan="1"> Lung</td><td rowspan="1" colspan="1">23 (35.9)</td></tr><tr><td rowspan="1" colspan="1"> Bone</td><td rowspan="1" colspan="1">17 (26.6)</td></tr><tr><td rowspan="1" colspan="1"> Lymph nodes</td><td rowspan="1" colspan="1">12 (18.8)</td></tr><tr><td rowspan="1" colspan="1"> CNS</td><td rowspan="1" colspan="1">4 (6.3)</td></tr><tr><td colspan="2" rowspan="1">Treatment regimen</td></tr><tr><td rowspan="1" colspan="1"> Ipilimumab 3 mg/kg + nivolumab 1 mg/kg Q3W, followed by nivolumab 3 mg/kg Q2W</td><td rowspan="1" colspan="1">59 (92.2%)</td></tr><tr><td rowspan="1" colspan="1"> Ipilimumab 1 mg/kg + pembrolizumab 2 mg/kg Q3W, followed by pembrolizumab 2 mg/kg Q3W</td><td rowspan="1" colspan="1">5 (7.8%)</td></tr></tbody></table><table-wrap-foot><p>
<sup>a</sup>Multiple metastatic sites per patient were possible (values do not sum up to 100%); <italic toggle="yes">abbreviations</italic>: <italic toggle="yes">CNS</italic> Central nervous system, <italic toggle="yes">Q2W</italic> Every two weeks, <italic toggle="yes">Q3W</italic> Every three weeks</p></table-wrap-foot></table-wrap>
</p></sec><sec id="Sec5"><title>Statistical analyses</title><p id="Par27">Overall survival (OS) and progression-free survival (PFS) were calculated as the time from the initiation of the first cycle of combined checkpoint blockade until melanoma-specific or treatment-related death and disease progression, respectively. Time-to-event analyses were calculated where death or progression were considered as events. If neither occurred or if patients were lost to follow-up, the date of the last documented presentation was used as a censored observation. The survival and progression probabilities were indicated with the Kaplan-Meier method for censored failure time data assuming proportional hazards. The survival curves were compared with the log-rank test [<xref ref-type="bibr" rid="CR6">6</xref>]. The duration of the clinical response and clinical benefit was defined as time from treatment initiation to progressive disease if a response or stable disease was achieved, respectively. The time to response was defined as time from treatment start until a response was evident radiologically.</p><p id="Par28">Cox proportional hazards regression modelling was applied to investigate the relationship of clinical risk factors and serum biomarkers with OS. Cox regression was performed as a univariate and multivariate analysis in a stepwise approach [<xref ref-type="bibr" rid="CR6">6</xref>]. Imputation of missing data was not allowed and patients with missing values of a given parameter were excluded from the analysis. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated to quantify the impact on survival. <italic toggle="yes">P</italic>-values were calculated based on Wald statistics [<xref ref-type="bibr" rid="CR6">6</xref>]. The association of treatment response as a categorical variable with clinical characteristics or serum biomarkers was investigated with the Chi-square test and logistic regression, as appropriate. In all cases, two-tailed <italic toggle="yes">p</italic>-values were calculated and considered significant with values <italic toggle="yes">p</italic> &lt; 0.05. All analyses were carried out with SPSS statistics version 23.0 (IBM) or GraphPad Prism version 5.01 (GraphPad Software).</p></sec></sec><sec id="Sec6" sec-type="results"><title>Results</title><p id="Par29">A total of 64 (100%) patients with metastatic UM were included. Fifty patients (78.1%) were naïve to systemic treatment and received combined checkpoint blockade as first-line systemic therapy. Regarding genotype, the presence of monosomy 3 as risk factor was specifically investigated in 7 patients and identified in 2 of them. BRAF, NRAS and KIT were analyzed and reportedly wildtype as expected in 30, 22, and 20 patients, respectively. Mutations and inactivations of MBD4 which were previously linked to a hypermutator profile with high sensitivity to PD-1 inhibition were not investigated in any case [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR19">19</xref>].</p><p id="Par30">Previous ipilimumab and PD-1 inhibitor monotherapy were applied in 2 (3.1%) and 12 (18.8%) cases, respectively. Both patients treated with ipilimumab before showed PD. Specifically, 4 patients (6.3%) had received nivolumab and 8 (12.5%) pembrolizumab before. In 4 cases, SD was achieved while 8 patients showed PD upon PD-1 inhibitor monotherapy. The median duration of the clinical benefit was 6.5 months in the 4 patients with SD. Liver-directed therapies were reported in 31 patients (48.4%). Most patients had an ECOG status of 0 (<italic toggle="yes">n</italic> = 49, 76.6%). Serum LDH was elevated in 33 cases (51.6%) at baseline. Other baseline characteristics are listed in detail in Table <xref rid="Tab1" ref-type="table">1</xref>. Ipilimumab plus nivolumab was given in 59 patients (92.2%), while 5 patients (7.8%) received ipilimumab plus pembrolizumab. The median number of treatment cycles was 3 (range 1–4) for the combination of ipilimumab with a PD-1 inhibitor in the induction phase, and 0 (range 0–27) for PD-1 inhibitor maintenance therapy in the overall population. A total of 19 patients (29.7%) received a PD-1 inhibitor maintenance therapy. Among these, the median number of PD-1 inhibitor cycles was 3 (range 1–27).</p><p id="Par31">The best ORR to combined checkpoint blockade was 15.6% (<italic toggle="yes">n</italic> = 10) relating to the entire population (4 patients were not evaluable for a radiologic response). Two patients achieved a complete response (3.1%) and 8 (12.5%) a partial response. The median duration of response was 25.5 months (range 9.0–65.0). Stable disease was achieved in further 14 cases (21.9%), resulting in a disease control rate of 37.5% with a median duration of the clinical benefit of 28.0 months (range 7.0–65.0) (Table <xref rid="Tab2" ref-type="table">2</xref>). The median PFS was 3.0 months (95% CI 2.4–3.6). The median OS was estimated to 16.1 months (95% CI 12.9–19.3) with a median follow-up period of 9.2 months (95% CI 7.8–10.6) (Fig. <xref rid="Fig1" ref-type="fig">1</xref>).<table-wrap id="Tab2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab2</object-id><caption xml:lang="en"><p>Best response rates to combined checkpoint blockade</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1"/><th rowspan="1" colspan="1">Cases (%)</th><th rowspan="1" colspan="1">Cumulative percentage (%)</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">Complete response</td><td rowspan="1" colspan="1">2 (3.1)</td><td rowspan="1" colspan="1">3.1</td></tr><tr><td rowspan="1" colspan="1">Partial response</td><td rowspan="1" colspan="1">8 (12.5)</td><td rowspan="1" colspan="1">15.6 (ORR)</td></tr><tr><td rowspan="1" colspan="1">Stable disease</td><td rowspan="1" colspan="1">14 (21.9)</td><td rowspan="1" colspan="1">37.5 (DCR)</td></tr><tr><td rowspan="1" colspan="1">Progressive disease</td><td rowspan="1" colspan="1">36 (56.3)</td><td rowspan="1" colspan="1">93.8</td></tr><tr><td rowspan="1" colspan="1">Unknown</td><td rowspan="1" colspan="1">4 (6.3)</td><td rowspan="1" colspan="1">100</td></tr><tr><td rowspan="1" colspan="1">Total</td><td rowspan="1" colspan="1">64 (100)</td><td rowspan="1" colspan="1">100</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">Abbreviations</italic>: <italic toggle="yes">ORR</italic> Objective response rate, <italic toggle="yes">DCR</italic> Disease control rate</p></table-wrap-foot></table-wrap>
<fig id="Fig1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig1</object-id><label>Fig. 1</label><caption xml:lang="en"><p>Kaplan-Meier estimates of the patient population for <bold>a</bold> progression-free survival (PFS) and <bold>b</bold> overall survival (OS). The median PFS and OS was estimated to 3.0 months (95% CI 2.4–3.6) and 16.1 months (95% CI 12.9–19.3), respectively. One patient was not included in the Kaplan-Meier analysis for PFS and OS due to missing data</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_800_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par32">The median time to response in patients with CR or PR after treatment initiation was 12 weeks (range 5–31). For the patients with SD, the median duration until the benefit was observed also amounted to 12 weeks (range 9–30). Interestingly, all 4 patients with SD after previous single PD-1 inhibitor blockade had PD to combined checkpoint blockade. Among the remaining 8 patients with PD after previous single PD-1 inhibitor blockade, one achieved a PR to combined checkpoint blockade. Thus, these data suggest that the effects of single and combined checkpoint blockade were observed independently from each other.</p><p id="Par33">A total of 78 AE were reported in 39 patients. Thus, the majority of patients developed any treatment-related AE (60.9%). Of all events, 37 AE were graded as severe (grade 3 + 4). They were observed in 25 patients (39.1%; grade 3: 37.5%; grade 4: 1.6%). The treatment was discontinued in 25 cases (39.1%) due to unacceptable toxicity. However, no treatment-related deaths occurred during treatment or the observation period. The most common events were colitis (20.3%), hepatitis (20.3%), thyreoiditis (15.6%), hypophysitis (7.8%), fever (4.7%), and myalgia with myositis (4.7%). In all 5 cases with hypophysitis, the individual hormone axes including ACTH, cortisol, FSH, LH, TSH, and testosterone were investigated but not specifically graded. In 3 cases, the pituitary gland was enlarged in MRI examinations. All patients received systemic replacement of hydrocortisone. All AE are listed in Additional file <xref rid="MOESM1" ref-type="supplementary-material">1</xref>.</p><p id="Par34">In univariate Cox regression, ECOG status (<italic toggle="yes">p</italic> = 0.000096), the presence of bone metastasis (<italic toggle="yes">p</italic> = 0.011), and the best response to checkpoint blockade (<italic toggle="yes">p</italic> = 0.002) were significantly associated with OS (Additional file <xref rid="MOESM2" ref-type="supplementary-material">2</xref>). The risk factors ECOG status, serum LDH, serum levels of CRP, and presence of bone metastasis were further integrated into a multivariate Cox regression model. Of these factors, a significant association with OS was confirmed for ECOG status (<italic toggle="yes">p</italic> = 0.007) only (Table <xref rid="Tab3" ref-type="table">3</xref>, Fig. <xref rid="Fig2" ref-type="fig">2</xref>a).<table-wrap id="Tab3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab3</object-id><caption xml:lang="en"><p>Multivariate Cox regression analysis of clinical parameters and serum biomarkers</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Parameter</th><th rowspan="1" colspan="1">Category</th><th rowspan="1" colspan="1">HR (95% CI)</th><th rowspan="1" colspan="1">P-value</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">ECOG status</td><td rowspan="1" colspan="1">n.a. (ordinal)</td><td rowspan="1" colspan="1">3.19 (1.36–7.47)</td><td char="." align="char" rowspan="1" colspan="1">0.007*</td></tr><tr><td rowspan="2" colspan="1">LDH</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">1</td><td char="." align="char" rowspan="1" colspan="1">0.428</td></tr><tr><td rowspan="1" colspan="1">elevated (&gt;ULN)</td><td rowspan="1" colspan="1">1.83 (0.41–8.08)</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">CRP</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">1</td><td char="." align="char" rowspan="1" colspan="1">0.534</td></tr><tr><td rowspan="1" colspan="1">elevated (&gt;ULN)</td><td rowspan="1" colspan="1">1.73 (0.31–9.74)</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">Bone metastasis</td><td rowspan="1" colspan="1">no</td><td rowspan="1" colspan="1">1</td><td char="." align="char" rowspan="1" colspan="1">0.331</td></tr><tr><td rowspan="1" colspan="1">yes</td><td rowspan="1" colspan="1">2.02 (0.49–8.27)</td><td rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><p>Four parameters were included in the multivariate Cox regression analysis. Of these factors, ECOG status was significantly associated with overall survival in this model. <italic toggle="yes">Abbreviations</italic>: <italic toggle="yes">CI</italic> Confidence interval, <italic toggle="yes">n.a.</italic> not applicable, <italic toggle="yes">ULN</italic> Institutional upper limit of normal, <italic toggle="yes">LDH</italic> Lactate dehydrogenase, <italic toggle="yes">CRP</italic> C-reactive protein; *<italic toggle="yes">p</italic>&lt;0.05.</p></table-wrap-foot></table-wrap>
<fig id="Fig2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig2</object-id><label>Fig. 2</label><caption xml:lang="en"><p>a Kaplan-Meier estimates for overall survival (OS) according to ECOG performance status. The median OS was 17.7 months (95% CI 13.1–22.3) for ECOG 0 versus 2.5 months (95% CI 0.0–9.6) for ECOG ≥1. Three patients were not included due to missing data. <bold>b</bold> Kaplan-Meier estimates for OS according to the prognostic score based on the serum parameters LDH, CRP, and REC. The groups with low and intermediate risk were pooled due to a small number of cases. The median OS was 17.7 months (95% CI 14.7–20.8) in the low plus intermediate group versus 15.4 months (95% CI 12.7–18.2) in the high risk group versus 7.1 months (95% CI 0.0–16.2) in the very high risk group. The <italic toggle="yes">p</italic>-values indicated were calculated with the log-rank test. One patient was not included due to missing data</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_800_Fig2_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par35">We recently identified a prognostic score of the serum biomarkers LDH, CRP, and relative eosinophil count (REC) in a cohort of 94 UM patients receiving PD-1 inhibitors [<xref ref-type="bibr" rid="CR6">6</xref>]. The score assigns one risk point for each unfavorable factor, i.e., elevated LDH, elevated CRP, and a REC &lt; 1.5%, defining four distinct prognostic groups (low, intermediate, high, and very high risk). Each patient receiving combined checkpoint blockade was assigned to a risk group and the score was validated with Kaplan-Meier estimates. Due to a small sample size, patients with low and intermediate risk were pooled. The risk groups showed significantly different survival probabilities (<italic toggle="yes">p</italic> = 0.000005). The median survival times were superior for the low plus intermediate group (17.7 months, 95% CI 14.7–20.8) compared to the high (15.4 months, 95% CI 12.7–18.2) and very high risk group (7.1 months, 95% CI 0.0–16.2) (Fig. <xref rid="Fig2" ref-type="fig">2</xref>b). However, the score neither correlated with the response rate (<italic toggle="yes">p</italic> = 0.609) nor with the DCR (<italic toggle="yes">p</italic> = 0.446), suggesting that it was generally prognostic but not specifically predictive for the response to combined checkpoint blockade.</p><p id="Par36">Subgroup analysis were performed for patients with metastasis to the central nervous system (CNS) at treatment initiation and for the treatment responders. Four patients showed an involvement of the CNS. Two of them had neurological symptoms. Two patients achieved SD, 2 showed PD. The median PFS for the CNS subgroup was 3.0 months (95% CI 0.0–6.1) while the median OS was not reached. In contrast, none of the treatment responders (CR or PR) had CNS involvement when the treatment was initiated (Table <xref rid="Tab4" ref-type="table">4</xref>). The median time from detection of the primary tumor to metastatic disease was 43 months among the responders. Data on the assessment of the risk of metastasis formation of the primary tumors were sparse, as e.g. the presence of monosomy 3 or the MBD4 status was not investigated in any of the responders.<table-wrap id="Tab4" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab4</object-id><caption xml:lang="en"><p>Characterization of the responders to combined checkpoint blockade (<italic toggle="yes">n</italic> = 10)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Response</th><th rowspan="1" colspan="1">Duration of response (months)</th><th rowspan="1" colspan="1">Time to response (weeks)</th><th rowspan="1" colspan="1">Treatment cycles (induction + maintenance)</th><th rowspan="1" colspan="1">Gender</th><th rowspan="1" colspan="1">Time to metastasis from primary tumor (months)</th><th rowspan="1" colspan="1">Age at treatment onset (years)</th><th rowspan="1" colspan="1">Available molecular/ genetic analysis</th><th rowspan="1" colspan="1">ECOG</th><th rowspan="1" colspan="1">LDH</th><th rowspan="1" colspan="1">CRP</th><th rowspan="1" colspan="1">Risk score</th><th rowspan="1" colspan="1">Previous systemic treatment</th><th rowspan="1" colspan="1">Previous liver-directed treatment</th><th rowspan="1" colspan="1">Sites of metastasis</th><th rowspan="1" colspan="1">AE ≥ grade 3 (CTCAE v5.0)</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">5</td><td rowspan="1" colspan="1">4 + 0</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">9</td><td rowspan="1" colspan="1">46</td><td rowspan="1" colspan="1">mutated: GNAQ (Q209P)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">low</td><td rowspan="1" colspan="1">nivolumab (PD)</td><td rowspan="1" colspan="1">TACE</td><td rowspan="1" colspan="1">liver</td><td rowspan="1" colspan="1">yes (colitis)</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">9</td><td rowspan="1" colspan="1">10</td><td rowspan="1" colspan="1">1 + 0</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">92</td><td rowspan="1" colspan="1">54</td><td rowspan="1" colspan="1">mutated: GNAQ (Q209P), ALK, MET; wildtype: BRAF, NRAS, GNA11, BAP1</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">low</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">lung</td><td rowspan="1" colspan="1">yes (colitis)</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">23</td><td rowspan="1" colspan="1">10</td><td rowspan="1" colspan="1">4 + 0</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">33</td><td rowspan="1" colspan="1">77</td><td rowspan="1" colspan="1">mutated: GNA11</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">low</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">chemo-saturation</td><td rowspan="1" colspan="1">liver, mesenteric fat tissue</td><td rowspan="1" colspan="1">yes (Guillain-Barré syndrome)</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">55</td><td rowspan="1" colspan="1">13</td><td rowspan="1" colspan="1">3 + 0</td><td rowspan="1" colspan="1">male</td><td rowspan="1" colspan="1">408</td><td rowspan="1" colspan="1">67</td><td rowspan="1" colspan="1">mutated: GNAQ</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">high</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">surgery</td><td rowspan="1" colspan="1">liver, nodal</td><td rowspan="1" colspan="1">yes (colitis, hypophysitis)</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">65</td><td rowspan="1" colspan="1">19</td><td rowspan="1" colspan="1">4 + 0</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">168</td><td rowspan="1" colspan="1">60</td><td rowspan="1" colspan="1">mutated: GNAQ; wildtype: BRAF, NRAS, KIT, GNA11</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">high</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">TACE</td><td rowspan="1" colspan="1">liver, lung, ovarial, cervix, omentum</td><td rowspan="1" colspan="1">no</td></tr><tr><td rowspan="1" colspan="1">CR</td><td rowspan="1" colspan="1">53</td><td rowspan="1" colspan="1">12</td><td rowspan="1" colspan="1">4 + 5</td><td rowspan="1" colspan="1">male</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">59</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">low</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">surgery</td><td rowspan="1" colspan="1">lung</td><td rowspan="1" colspan="1">no</td></tr><tr><td rowspan="1" colspan="1">CR</td><td rowspan="1" colspan="1">50</td><td rowspan="1" colspan="1">12</td><td rowspan="1" colspan="1">4 + 16</td><td rowspan="1" colspan="1">male</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">45</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">very high</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">liver, bone, pelvic</td><td rowspan="1" colspan="1">no</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">26</td><td rowspan="1" colspan="1">13</td><td rowspan="1" colspan="1">3 + 0</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">67</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">normal</td><td rowspan="1" colspan="1">intermediate</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">SIRT</td><td rowspan="1" colspan="1">liver, lung</td><td rowspan="1" colspan="1">yes (uveitis)</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">25</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">4 + 1</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">30</td><td rowspan="1" colspan="1">56</td><td rowspan="1" colspan="1">wildtype: BRAF, NRAS, KIT; expression PD-L1 20%; polysomia of chromosome 12</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">high</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">liver, lung</td><td rowspan="1" colspan="1">no</td></tr><tr><td rowspan="1" colspan="1">PR</td><td rowspan="1" colspan="1">11</td><td rowspan="1" colspan="1">31</td><td rowspan="1" colspan="1">4 + 27</td><td rowspan="1" colspan="1">female</td><td rowspan="1" colspan="1">53</td><td rowspan="1" colspan="1">73</td><td rowspan="1" colspan="1">wildtype: BRAF, KIT, KRAS, NRAS, NF1, CDKN2A, CDK4</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">elevated</td><td rowspan="1" colspan="1">unknown</td><td rowspan="1" colspan="1">intermediate</td><td rowspan="1" colspan="1">none</td><td rowspan="1" colspan="1">chemo-saturation</td><td rowspan="1" colspan="1">liver, bone, nodal, renal</td><td rowspan="1" colspan="1">no</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">Abbreviations</italic>: <italic toggle="yes">CR</italic> Complete response, <italic toggle="yes">PR</italic> Partial response, <italic toggle="yes">ECOG</italic> Eastern Cooperative Oncology Group, <italic toggle="yes">LDH</italic> Lactate dehydrogenase, <italic toggle="yes">CRP</italic> C-reactive protein, <italic toggle="yes">TACE</italic> Transarterial chemoembolization, <italic toggle="yes">SIRT</italic> Selective internal radiation therapy, <italic toggle="yes">AE</italic> Adverse event(s), <italic toggle="yes">CTCAE</italic> Common Terminology Criteria for Adverse Events</p></table-wrap-foot></table-wrap>
</p></sec><sec id="Sec7" sec-type="discussion"><title>Discussion</title><p id="Par37">Here, we present a comparatively large cohort of patients with metastatic UM who were treated with combined checkpoint blockade. We detected a 15.6% ORR, with a 3.1% complete and 12.5% partial response rate. This response rate is in line with our previous report showing 16% ORR, although only 12 patients were evaluable for their radiologic response and the follow-up time was short [<xref ref-type="bibr" rid="CR6">6</xref>]. Another case series was recently published from a single-center experience where 2 out of 8 patients treated with nivolumab and ipilimumab had a partial response [<xref ref-type="bibr" rid="CR11">11</xref>]. Other preliminary data on the efficacy of the combined checkpoint blockade have been proposed as conference abstracts, but appear preliminary to date. Najjar et al. reported results from a multi-center, retrospective analysis in 66 patients from 11 U.S. centers, revealing an ORR of 13% and a DCR of 31% [<xref ref-type="bibr" rid="CR20">20</xref>]. In addition to these estimates in a real-world setting, prospective trials are currently underway. A preliminary analysis of the Spanish phase II trial GEM1402 (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02626962" xlink:type="simple">NCT02626962</ext-link>) showed an ORR of 12% and disease stabilization in 52% of cases [<xref ref-type="bibr" rid="CR21">21</xref>]. Another phase II trial is currently ongoing in the U.S. in 30 patients with UM (<ext-link ext-link-type="clintrialgov" xlink:href="NCT01585194" xlink:type="simple">NCT01585194</ext-link>). A recently presented interim analysis revealed an ORR of 17% and disease control in 50% [<xref ref-type="bibr" rid="CR22">22</xref>]. Thus, we conclude that the ORR of 15.6% identified in this population is a solid estimate for the efficacy of combined checkpoint blockade in UM and a good indicator of what we can expect from the final analyses of the prospective trials. This regimen appears to be significantly superior compared to the sobering efficacy values observed with ipilimumab and PD-1 inhibitor monotherapy [<xref ref-type="bibr" rid="CR6">6</xref>–<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR23">23</xref>–<xref ref-type="bibr" rid="CR26">26</xref>]. Considering the data available so far, we conclude that the increase of ORR of the combined blockade versus PD-1 inhibition alone amounts to approximately 10%. Further evidence for a better efficacy of the combined regimen is supported by the observation of complete responders, albeit to a small extent. This is notable as UM is considered a “cold” tumor due to a low mutational burden and a unique immunosuppressive tumor microenvironment [<xref ref-type="bibr" rid="CR27">27</xref>–<xref ref-type="bibr" rid="CR29">29</xref>]. Further research is urgently needed to identify the radiologic, immunologic, and molecular determinants for treatment response in this small subset of patients. Regarding safety, the rate of severe AE was lower compared to the events reported in the pivotal trial in cutaneous melanoma (CheckMate-067) [<xref ref-type="bibr" rid="CR30">30</xref>]. In particular, the occurrence of potentially life-threatening grade 4 AE was surprisingly low, suggesting that the regimen may be better tolerated in UM. However, it is also conceivable that the retrospective design and the small number of cases of this study causes an underreporting of AE.</p><p id="Par38">Among clinical parameters and serum biomarkers, only the ECOG performance status was a consistent prognostic factor in multivariate analysis. Other parameters such as serum LDH, CRP, and the REC showed a significant association neither with OS nor with the treatment response when they were considered as single factors. However, when integrated into a prognostic score, they were useful for risk stratification and discriminated groups with distinct survival probabilities. Thus, the risk score identified previously in a distinct cohort was successfully validated in this population [<xref ref-type="bibr" rid="CR6">6</xref>]. As there was a significant association neither with the ORR nor the DCR, we conclude that the score is generally prognostic but not specifically predictive for the response to checkpoint blockade.</p><p id="Par39">The major limitations of this study are its retrospective design and the lack of a control group. When compared to historical controls, the median OS of 16.1 months is superior to survival estimates from other studies. Recently, the median OS benchmark for metastatic UM was identified as 10.2 months in a meta-analysis on individual data from 912 patients pooled from 29 trials [<xref ref-type="bibr" rid="CR31">31</xref>]. Another analysis on individual-level data from 2494 patients proposed a median OS of 1.07 years across all treatment modalities. In this context, the OS observed in our cohort treated with combined checkpoint blockade appears more favorable, although external cohorts should be interpreted with caution and the comparison may be subject to significant confounding. A further limitation comes from the paucity of molecular and genetic analysis on the primary and metastatic tumors which are urgently needed to better characterize and understand the pattern of treatment response in UM.</p></sec><sec id="Sec8" sec-type="conclusions"><title>Conclusions</title><p id="Par40">Altogether, our study implies that combined checkpoint blockade represents the hitherto most effective treatment option available for metastatic UM available in routine care outside of clinical trials. Based on our analysis and preliminary data from others, we hypothesize that the ORR achieved with combined checkpoint blockade will be 15–17%. Future trials are warranted to identify specific biomarkers for treatment response.</p></sec></body><back><sec><title>Funding</title><p>Not applicable.</p></sec><ack><p>Not applicable.</p></ack><fn-group><fn fn-type="other"><label>Supplementary information</label><p>
<bold>Supplementary information</bold> accompanies this paper at 10.1186/s40425-019-0800-0.</p></fn></fn-group><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>All authors made substantial contributions to the manuscript. MVH, MS and CB designed the study. MVH, TA, KCK, LH, JCH, MM, NK, CL, LR, JU, ED, AG, CP, PT, K-MT, LZ, TKE, MCK, HMS and FM were involved in the acquisition of the dataset and interpreted the data. MVH and CB drafted the manuscript. All authors read and approved the final manuscript.</p></notes><notes notes-type="data-availability"><title>Availability of data and materials</title><p>The datasets analysed during the current study are available from the corresponding author on reasonable request.</p></notes><notes notes-type="ethics"><sec id="FPar1"><title>Ethics approval and consent to participate</title><p id="Par41">This study was approved by the institutional review board of the medical faculty of the Munich University Hospital (approval number 413–16 UE) and was conducted in accordance with the principles of the Helsinki Declaration in its current version.</p></sec><sec id="FPar2"><title>Consent for publication</title><p id="Par42">Not applicable.</p></sec><sec id="FPar3"><title>Competing interests</title><p id="Par43">Teresa Amaral: grants from Neracare; travel support from Novartis, personal fees and travel support from BMS, outside the submitted work; Carola Berking: speaker’s honoraria from BMS, Immunocore, MSD, Novartis, and Roche, consultant’s honoraria from Amgen, BMS, MSD, Novartis, Pierre Fabre, Roche, and Sanofi-Aventis and travel support from Amgen, BMS, MSD, and Roche; Anja Gesierich: speaker’s honoraria from Bristol-Myers Squibb, MSD Sharp &amp; Dohme and Roche, consultant’s honoraria from Amgen, Bristol-Myers Squibb, Novartis, MSD Sharp &amp; Dohme, Pierre Fabre Pharmaceuticals, Pfizer, Roche and Sanofi Genzyme, travel support from Bristol-Myers Squibb, MSD Sharp &amp; Dohme, Novartis and Roche; Lucie Heinzerling speaker’s/ consultant’s honoraria from BMS, MSD, Novartis, Roche, Amgen, Pierre Fabre, Sanofi-Aventis, Curevac, research grants to institution from Novartis; Markus V. Heppt: speaker’s honoraria and/or consultant’s honoraria from Roche, Novartis, BMS, MSD and travel support from BMS; Katharina C. Kähler: consultant to Roche, BMS, MSD and received travel grants and speaker fees from Roche, BMS, MSD, Novartis, Amgen; Carmen Loquai: advisory for Roche, Amgen, Novartis, BMS, MSD, Ribological, speaker’s honoraria from Roche, BMS, MSD, Novartis, travel reimbursement from Roche, BMS, MSD, Novartis; Max Schlaak: speaker’s honoraria and/ or consultant’s honoraria from Roche, Novartis, BMS, MSD, Kyowa Kirin, Amgen, Pierre Fabre and travel support from BMS; Henner M. Stege: travel support from Novartis and Roche; Patrick Terheyden: speaker’s honoraria from BMS, Novartis, MSD, Pierre-Fabre, Curevac and Roche, consultant’s honoraria from BMS, Novartis, Pierre-Fabre, Merck Serono, Sanofi und Roche and travel support fom BMS, Pierre-Fabre and Roche; Kai-Martin Thoms: speaker’s honoraria from BMS, MSD, Novartis and Roche, consultant’s honoraria from BMS, MSD, Novartis, Roche and Pierre Fabre and travel support from BMS, Novartis, Roche and Pierre Fabre; Jochen Utikal: advisory board or honoraria and travel support from Amgen, BMS, GSK, LeoPharma, MSD, Novartis, Pierre Fabre, Roche, outside the submitted work; Lisa Zimmer: consultant/ honoraria from Roche, BMS, MSD, Novartis, Sanofi, Pierre Fabre and travel support from MSD, BMS, Amgen, Pierre Fabre, Sanofi and Novartis. The remaining authors declare no conflict of interest.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><mixed-citation publication-type="journal" xlink:type="simple">
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</p></app></app-group><glossary><def-list><def-list><def-item><term>AE</term><def><p id="Par5">Adverse event</p></def></def-item><def-item><term>CI</term><def><p id="Par6">Confidence interval</p></def></def-item><def-item><term>CRP</term><def><p id="Par7">C-reactive protein</p></def></def-item><def-item><term>CTCAE</term><def><p id="Par8">Common Terminology Criteria for Adverse Events</p></def></def-item><def-item><term>DCR</term><def><p id="Par9">Disease control rate</p></def></def-item><def-item><term>ECOG</term><def><p id="Par10">Eastern Cooperative Oncology Group</p></def></def-item><def-item><term>HR</term><def><p id="Par11">Hazard ratio</p></def></def-item><def-item><term>LDH</term><def><p id="Par12">Lactate dehydrogenase</p></def></def-item><def-item><term>ORR</term><def><p id="Par13">Overall response rate</p></def></def-item><def-item><term>OS</term><def><p id="Par14">Overall survival</p></def></def-item><def-item><term>PFS</term><def><p id="Par15">Progression-free survival</p></def></def-item><def-item><term>Q2W</term><def><p id="Par16">Every two weeks</p></def></def-item><def-item><term>Q3W</term><def><p id="Par17">Every three weeks</p></def></def-item><def-item><term>REC</term><def><p id="Par18">Relative eosinophil count</p></def></def-item><def-item><term>RLC</term><def><p id="Par19">Relative lymphocyte count</p></def></def-item><def-item><term>RNC</term><def><p id="Par20">Relative neutrophil count</p></def></def-item><def-item><term>UM</term><def><p id="Par21">Uveal melanoma</p></def></def-item></def-list></def-list></glossary></back></article>