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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">s40425-019-0793-8</article-id><article-id pub-id-type="manuscript">793</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0793-8</article-id><article-id pub-id-type="pmid">31752994</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/316.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">Bone metastases and immunotherapy in patients with advanced non-small-cell lung cancer</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Landi</surname><given-names>Lorenza</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>D’Incà</surname><given-names>Federica</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gelibter</surname><given-names>Alain</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chiari</surname><given-names>Rita</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Grossi</surname><given-names>Francesco</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Delmonte</surname><given-names>Angelo</given-names></name><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Passaro</surname><given-names>Antonio</given-names></name><xref ref-type="aff" rid="Aff7">7</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Signorelli</surname><given-names>Diego</given-names></name><xref ref-type="aff" rid="Aff8">8</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gelsomino</surname><given-names>Francesco</given-names></name><xref ref-type="aff" rid="Aff9">9</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Galetta</surname><given-names>Domenico</given-names></name><xref ref-type="aff" rid="Aff10">10</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Giannarelli</surname><given-names>Diana</given-names></name><xref ref-type="aff" rid="Aff11">11</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Soto Parra</surname><given-names>Hector</given-names></name><xref ref-type="aff" rid="Aff12">12</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Minuti</surname><given-names>Gabriele</given-names></name><xref ref-type="aff" rid="Aff13">13</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tiseo</surname><given-names>Marcello</given-names></name><xref ref-type="aff" rid="Aff14">14</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Migliorino</surname><given-names>Maria Rita</given-names></name><xref ref-type="aff" rid="Aff15">15</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cognetti</surname><given-names>Francesco</given-names></name><xref ref-type="aff" rid="Aff11">11</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Toschi</surname><given-names>Luca</given-names></name><xref ref-type="aff" rid="Aff16">16</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bidoli</surname><given-names>Paolo</given-names></name><xref ref-type="aff" rid="Aff17">17</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Piantedosi</surname><given-names>Francovito</given-names></name><xref ref-type="aff" rid="Aff18">18</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Calabro’</surname><given-names>Luana</given-names></name><xref ref-type="aff" rid="Aff19">19</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><name name-style="western"><surname>Cappuzzo</surname><given-names>Federico</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="IDs4042501907938_cor21">u</xref></contrib><aff id="Aff1">
<label>1</label>
<institution-wrap><institution content-type="org-name" xlink:type="simple">Department of Oncology and Hematology, AUSL Romagna</institution></institution-wrap>
<addr-line content-type="city">Ravenna</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff2">
<label>2</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.476301.7</institution-id><institution content-type="org-name" xlink:type="simple">Fondazione Ricerca Traslazionale</institution></institution-wrap>
<addr-line content-type="city">Rome</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff3">
<label>3</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.417007.5</institution-id><institution content-type="org-name" xlink:type="simple">Oncologia Medica B, Policlinico Umberto I</institution></institution-wrap>
<addr-line content-type="city">Rome</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff4">
<label>4</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1760 3158</institution-id><institution-id institution-id-type="GRID">grid.417287.f</institution-id><institution content-type="org-division" xlink:type="simple">Medical Oncology</institution><institution content-type="org-name" xlink:type="simple">Santa Maria della Misericordia Hospital</institution></institution-wrap>
<addr-line content-type="city">Perugia</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff5">
<label>5</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1757 8749</institution-id><institution-id institution-id-type="GRID">grid.414818.0</institution-id><institution content-type="org-division" xlink:type="simple">Division of Medical Oncology</institution><institution content-type="org-name" xlink:type="simple">IRCCS Ca’ Granda Ospedale Maggiore Policlinico</institution></institution-wrap>
<addr-line content-type="city">Milan</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff6">
<label>6</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1755 9177</institution-id><institution-id institution-id-type="GRID">grid.419563.c</institution-id><institution content-type="org-name" xlink:type="simple">Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS</institution></institution-wrap>
<addr-line content-type="city">Meldola</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff7">
<label>7</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1757 0843</institution-id><institution-id institution-id-type="GRID">grid.15667.33</institution-id><institution content-type="org-division" xlink:type="simple">Division of Thoracic Oncology</institution><institution content-type="org-name" xlink:type="simple">IEO, European Institute of Oncology IRCCS</institution></institution-wrap>
<addr-line content-type="city">Milan</addr-line>
<country country="IT">Italy</country>
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<label>8</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0807 2568</institution-id><institution-id institution-id-type="GRID">grid.417893.0</institution-id><institution content-type="org-name" xlink:type="simple">Fondazione IRCCS Istituto Nazionale dei Tumori</institution></institution-wrap>
<addr-line content-type="city">Milan</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff9">
<label>9</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.412311.4</institution-id><institution content-type="org-name" xlink:type="simple">Oncologia Medica, Policlinico S. Orsola – Malpighi</institution></institution-wrap>
<addr-line content-type="city">Bologna</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff10">
<label>10</label>
<institution-wrap><institution content-type="org-division" xlink:type="simple">Oncologia Medica Toracica</institution><institution content-type="org-name" xlink:type="simple">IRCCS Istituto Tumori “Giovanni Paolo II”</institution></institution-wrap>
<addr-line content-type="city">Bari</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff11">
<label>11</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1760 5276</institution-id><institution-id institution-id-type="GRID">grid.417520.5</institution-id><institution content-type="org-name" xlink:type="simple">IRCCS - Regina Elena National Cancer Institute</institution></institution-wrap>
<addr-line content-type="city">Rome</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff12">
<label>12</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.412844.f</institution-id><institution content-type="org-name" xlink:type="simple">AOU Policlinico Vittorio Emanuele</institution></institution-wrap>
<addr-line content-type="city">Catania</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff13">
<label>13</label>
<institution-wrap><institution content-type="org-name" xlink:type="simple">UO Oncologia Medica, Azienda Usl Toscana Nord Ovest</institution></institution-wrap>
<addr-line content-type="city">Livorno</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff14">
<label>14</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.411482.a</institution-id><institution content-type="org-division" xlink:type="simple">Medical Oncology Unit</institution><institution content-type="org-name" xlink:type="simple">University Hospital</institution></institution-wrap>
<addr-line content-type="city">Parma</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff15">
<label>15</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0368 6835</institution-id><institution-id institution-id-type="GRID">grid.419458.5</institution-id><institution content-type="org-name" xlink:type="simple">UOSD Pneumologia Oncologica, Azienda Ospedaliera San Camillo Forlanini</institution></institution-wrap>
<addr-line content-type="city">Rome</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff16">
<label>16</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1756 8807</institution-id><institution-id institution-id-type="GRID">grid.417728.f</institution-id><institution content-type="org-name" xlink:type="simple">Humanitas Cancer Center</institution></institution-wrap>
<addr-line content-type="street">Rozzano</addr-line>
<addr-line content-type="city">Milan</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff17">
<label>17</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1756 8604</institution-id><institution-id institution-id-type="GRID">grid.415025.7</institution-id><institution content-type="org-name" xlink:type="simple">Oncology Unit, ASST, Ospedale S. Gerardo</institution></institution-wrap>
<addr-line content-type="city">Monza</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff18">
<label>18</label>
<institution-wrap><institution content-type="org-name" xlink:type="simple">U.O.S.D. DH Pneumoncologico, A.O. Dei Colli Monaldi - Cotugno-CTO</institution></institution-wrap>
<addr-line content-type="city">Naples</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff19">
<label>19</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1759 0844</institution-id><institution-id institution-id-type="GRID">grid.411477.0</institution-id><institution content-type="org-division" xlink:type="simple">Medical Oncology and Immunotherapy, Center for Immuno-Oncology</institution><institution content-type="org-name" xlink:type="simple">University Hospital of Siena</institution></institution-wrap>
<addr-line content-type="city">Siena</addr-line>
<country country="IT">Italy</country>
</aff></contrib-group><author-notes><corresp id="IDs4042501907938_cor21">
<label>u</label>
<email xlink:type="simple">f.cappuzzo@gmail.com</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="2019-11-21" pub-type="epub-original" publication-format="electronic"><day>21</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="2019-11-21T00:00:00-08:00" pub-type="epub"><day>21</day><month>11</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>316</elocation-id><history><date date-type="received" iso-8601-date="2019-05-13"><day>13</day><month>5</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_793_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><sec id="ASec1"><title>Background</title><p id="Par1">Bone metastases (BoM) are a negative prognostic factor in non-small-cell lung cancer (NSCLC). Beyond its supportive role, bone is a hematopoietic organ actively regulating immune system. We hypothesized that BoM may influence sensitivity to immunotherapy.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">Pretreated non-squamous (cohort A) and squamous (cohort B) NSCLCs included in the Italian Expanded Access Program were evaluated for nivolumab efficacy according to BoM.</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">Cohort A accounted for 1588 patients with non-squamous NSCLC, including 626 (39%) with (BoM+) and 962 (61%) without BoM (BoM-). Cohort B accounted for 371 patients with squamous histology including 120 BoM+ (32%) and 251 (68%) BoM- cases. BoM+ had lower overall response rate (ORR; Cohort A: 12% versus 23%, <italic toggle="yes">p</italic> &lt;  0.0001; Cohort B: 13% versus 22%, <italic toggle="yes">p</italic> = 0.04), shorter progression free survival (PFS; Cohort A: 3.0 versus 4.0 months, p &lt;  0.0001; Cohort B: 2.7 versus 5.2 months, p &lt;  0.0001) and overall survival (OS; Cohort A: 7.4 versus 15.3 months, p &lt;  0.0001; Cohort B: 5.0 versus 10.9 months, <italic toggle="yes">p</italic> &lt; 0.0001). Moreover, BoM negatively affected outcome irrespective of performance status (PS; OS in both cohorts: p &lt; 0.0001) and liver metastases (OS cohort A: p &lt; 0.0001; OS Cohort B: <italic toggle="yes">p</italic> = 0.48). At multivariate analysis, BoM independently associated with higher risk of death (cohort A: HR 1.50; cohort B: HR 1.78).</p></sec><sec id="ASec4"><title>Conclusions</title><p id="Par4">BoM impairs immunotherapy efficacy. Accurate bone staging should be included in clinical trials with immunotherapy.</p></sec></abstract><kwd-group xml:lang="en"><kwd>Bone metastases</kwd><kwd>Nivolumab</kwd><kwd>Immunotherapy</kwd><kwd>PD-L1</kwd><kwd>Non-small-cell lung cancer</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_793.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>Introduction</title><p id="Par38">In the last few years, improvements in cancer biology and immune system knowledge significantly prolonged survival of patients with metastatic non-small cell lung cancer (NSCLC) [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR3">3</xref>]. Agents targeting the programmed death-1 receptor (PD-1)/ PD-ligand 1 (PD-L1) pathway, also named immune checkpoint inhibitors (ICIs), have emerged as powerful therapeutic strategy in different settings [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR7">7</xref>]. Nivolumab, pembrolizumab and atezolizumab are three recommended options for patients who progress after platinum-doublet chemotherapy, whereas pembrolizumab is the standard front line for untreated patients with PD-L1 expression <underline>&gt;</underline> 50% [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR8">8</xref>]. As a consequence, the proportion of patients still candidate for exclusive chemotherapy is gradually decreasing. At present, PD-L1 expression is the only validated biomarker adopted in clinical practice for selecting NSCLC candidate for immunotherapy [<xref ref-type="bibr" rid="CR8">8</xref>]. Several other biomarkers are under investigation with Tumor Mutational Burden (TMB) as the one closest to a routine adoption [<xref ref-type="bibr" rid="CR9">9</xref>]. Recently, some clinical factors such as performance status and metastatic sites, emerged as potential predictors for immunotherapy efficacy [<xref ref-type="bibr" rid="CR10">10</xref>–<xref ref-type="bibr" rid="CR12">12</xref>]. In a retrospective study conducted in 201 Asian patients and treated with nivolumab, poor performance status (ECOG PS <underline>&gt;</underline> 2) and presence of lung or liver metastases independently associated with shorter PFS [<xref ref-type="bibr" rid="CR11">11</xref>]. Another study evaluated organ specific response rate to second or subsequent line nivolumab in 52 patients with higher response observed in lymph nodes (28%) followed by primary lung lesions (16%). Interestingly, among patients with bone metastases, 75% had progressive bone lesions at the time of tumor progression [<xref ref-type="bibr" rid="CR12">12</xref>]. This data suggest that efficacy of immunotherapy can be modulated by tumor microenvironment, which differs among organs.</p><p id="Par39">Because of its large surface area and highly vascular supply, bone is a common site of metastatic spread in NSCLC [<xref ref-type="bibr" rid="CR13">13</xref>, <xref ref-type="bibr" rid="CR14">14</xref>]. Implementation of diagnostic tools coupled with survival improvement have resulted in a raised incidence of bone metastases, with 20–30% of NSCLC patients presenting with bone lesions at diagnosis and an additional 35–40% of cases developing bone metastases during the course of their disease [<xref ref-type="bibr" rid="CR15">15</xref>]. Patients with bone disease frequently experience skeletal-related events entailing severe pain and deterioration in their performance status (PS) and quality of life. Not surprisingly, bone metastases negatively affect overall survival [<xref ref-type="bibr" rid="CR13">13</xref>]. In addition to its supportive role, bone is a hematopoietic organ. Several evidences showed that bone marrow plays active functions in regulating immune system and trafficking of immune cells, including regulatory T cells, conventional T cells, B cells, dendritic cells, natural killer T cells, neutrophils, myeloid-derived suppressor cells and mesenchymal stem cells [<xref ref-type="bibr" rid="CR16">16</xref>]. Therefore, bone marrow is an immune regulatory organ potentially influencing response to immunotherapy.</p><p id="Par40">However, none of the randomized studies specifically investigated the consequences of bone involvement in patients exposed to checkpoint inhibitors or stratified patients according to presence of bone metastases. Aim of the present study was to assess whether efficacy of nivolumab was influenced by presence of bone disease in a large pretreated, metastatic, NSCLC.</p></sec><sec id="Sec2" sec-type="materials|methods"><title>Material and methods</title><sec id="Sec3"><title>Study design, patients and treatment</title><p id="Par41">The trial was conducted in two cohorts (Cohort A = non-squamous-cell histology, <italic toggle="yes">N</italic> = 1588; cohort B = squamous-cell histology, <italic toggle="yes">N</italic> = 371) of advanced NSCLC patients treated in 153 Italian centers and included in the nivolumab Expanded Access Program (EAP) from April 2015 to September 2016. The Italian EAP was a prospective, single-arm, open-label trial intended to provide early access to nivolumab. Details of main inclusion and exclusion criteria and treatment have been previously published [<xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR18">18</xref>]. Briefly patients aged ≥18 years, with histologically or cytologically diagnosis of non-squamous or squamous NSCLC, pretreated with at least one systemic therapy for advanced disease and an Eastern Cooperative Oncology Group (ECOG) PS <underline>&lt;</underline> 2, were included onto the study if they had no evidence of carcinomatous meningitis or serum positivity for HIV, HBV or HCV and no prior therapy checkpoint inhibitor. In both cohorts nivolumab 3 mg/kg was administered intravenously every 2 weeks for ≤24 months. Patients included in the analysis had received at least 1 dose of nivolumab. This study was conducted in accordance with the Declaration of Helsinki (1964) and International Conference of Harmonization Guidelines for Clinical Practice and was approved by the appropriate Institutional Review Board/Independent Ethics Committee. All patients provided written informed consent before treatment.</p></sec><sec id="Sec4"><title>Outcome measures</title><p id="Par42">Tumor response was assessed using Response Evaluation in Solid Tumors (RECIST) criteria version 1.0 [<xref ref-type="bibr" rid="CR19">19</xref>]. Investigator-assessed objective response rate (ORR), progression free survival (PFS) and overall survival (OS) were evaluated. Patients were monitored for adverse events (AEs) using the National Cancer Institute Common Terminology Criteria for Adverse Events v4.0.</p></sec><sec id="Sec5"><title>Statistical analysis</title><p id="Par43">Efficacy and safety analyses were conducted in all patients who received at least one nivolumab dose. ORR, PFS, OS and safety were evaluated. Chi-square measured association between patient characteristics and ORR. PFS was calculated as the time from the start of nivolumab treatment until evidence of progressive disease or death whichever occurred first. PFS and OS were estimated using Kaplan-Meier method and 95% confidence intervals (CIs) were derived using Hosmer and Lemeshow approach. Differences between survival curves were evaluated with log rank test. A Cox regression model was used to explore the association between patient characteristics and survival times; Hazard Ratios (HRs) with 95% CIs were reported. When performing a multivariate analysis, a stepwise procedure was used based on Wald statistics, enter and remove values set to 0.05 and 0.10, respectively.</p></sec></sec><sec id="Sec6" sec-type="results"><title>Results</title><sec id="Sec7"><title>Patient populations</title><sec id="Sec8"><title>Cohort A</title><p id="Par44">Characteristics of non-squamous cohort are illustrated in Table <xref rid="Tab1" ref-type="table">1</xref>. Among the 1588 patients, 626 (39%) had bone metastases (BoM+ group) and 962 (61%) had no evidence of bone involvement (BoM- group). BoM+ patients were younger than BoM- (<italic toggle="yes">p</italic> = 0.001) with a significantly lower percentage of individuals older than 75 years (<italic toggle="yes">p</italic> &lt; 0.0001). ECOG PS was 0 in 34% of BoM+ and 45% in BoM- (p &lt; 0.0001). Brain and liver metastases were significantly more frequent in the BoM+ group (p = 0.001 and <italic toggle="yes">p</italic> &lt; 0.00001 for brain and liver, respectively). No difference in terms of gender, smoking status and number of prior systemic therapies was observed in BoM+ and BoM-.<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Characteristics in cohorts A and B according to bone involvement</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" colspan="1">Characteristic</th><th colspan="2" rowspan="1">Cohort A</th><th rowspan="1" colspan="1"/><th colspan="2" rowspan="1">Cohort B</th><th rowspan="1" colspan="1"/></tr><tr><th rowspan="1" colspan="1">Non-squamous BoM+ (N/%)</th><th rowspan="1" colspan="1">Non-squamous BoM- (N/%)</th><th rowspan="1" colspan="1">p</th><th rowspan="1" colspan="1">Squamous BoM+ (N/%)</th><th rowspan="1" colspan="1">Squamous BoM- (N/%)</th><th rowspan="1" colspan="1">p</th></tr></thead><tbody><tr><td align="center" rowspan="1" colspan="1">Total patients</td><td rowspan="1" colspan="1">626 (39)</td><td rowspan="1" colspan="1">962 (61)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">120 (32)</td><td rowspan="1" colspan="1">251 (68)</td><td rowspan="1" colspan="1"/></tr><tr><td align="center" rowspan="1" colspan="1">Median age (year/range)</td><td rowspan="1" colspan="1">65 (29–89)</td><td rowspan="1" colspan="1">67 (27–87)</td><td char="." align="char" rowspan="1" colspan="1">0.001</td><td rowspan="1" colspan="1">67 (31–83)</td><td rowspan="1" colspan="1">68 (31–91)</td><td char="." align="char" rowspan="1" colspan="1">0.06</td></tr><tr><td align="center" rowspan="1" colspan="1">Patients ≥75 years</td><td rowspan="1" colspan="1">67 (11)</td><td rowspan="1" colspan="1">165 (17)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">18 (15)</td><td rowspan="1" colspan="1">52 (21)</td><td char="." align="char" rowspan="1" colspan="1">0.19</td></tr><tr><td colspan="7" rowspan="1">Gender</td></tr><tr><td rowspan="1" colspan="1"> • Male</td><td rowspan="1" colspan="1">401 (64)</td><td rowspan="1" colspan="1">628 (65)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">96 (80)</td><td rowspan="1" colspan="1">202 (81)</td><td char="." align="char" rowspan="2" colspan="1">0.91</td></tr><tr><td rowspan="1" colspan="1"> • Female</td><td rowspan="1" colspan="1">225 (36)</td><td rowspan="1" colspan="1">334 (35)</td><td char="." align="char" rowspan="1" colspan="1">0.62</td><td rowspan="1" colspan="1">24 (20)</td><td rowspan="1" colspan="1">49 (19)</td></tr><tr><td colspan="7" rowspan="1">ECOG PS</td></tr><tr><td rowspan="1" colspan="1"> • 0</td><td rowspan="1" colspan="1">213 (34)</td><td rowspan="1" colspan="1">435 (45)</td><td char="." align="char" rowspan="4" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">36 (30)</td><td rowspan="1" colspan="1">98 (39)</td><td char="." align="char" rowspan="4" colspan="1">0.25</td></tr><tr><td rowspan="1" colspan="1"> • 1</td><td rowspan="1" colspan="1">354 (56)</td><td rowspan="1" colspan="1">461 (48)</td><td rowspan="1" colspan="1">77 (64)</td><td rowspan="1" colspan="1">138 (55)</td></tr><tr><td rowspan="1" colspan="1"> • 2</td><td rowspan="1" colspan="1">57 (9)</td><td rowspan="1" colspan="1">51 (5)</td><td rowspan="1" colspan="1">7 (6)</td><td rowspan="1" colspan="1">15 (6)</td></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">2 (1)</td><td rowspan="1" colspan="1">15 (2)</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td colspan="7" rowspan="1">Metastatic site</td></tr><tr><td rowspan="1" colspan="1"> • liver</td><td rowspan="1" colspan="1">178 (28)</td><td rowspan="1" colspan="1">149 (16)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.00001</td><td rowspan="1" colspan="1">25 (21)</td><td rowspan="1" colspan="1">38 (15)</td><td char="." align="char" rowspan="1" colspan="1">0.14</td></tr><tr><td rowspan="1" colspan="1"> • brain</td><td rowspan="1" colspan="1">191 (30)</td><td rowspan="1" colspan="1">218 (23)</td><td char="." align="char" rowspan="1" colspan="1">0.001</td><td rowspan="1" colspan="1">16 (13)</td><td rowspan="1" colspan="1">21 (8)</td><td char="." align="char" rowspan="1" colspan="1">0.17</td></tr><tr><td colspan="7" rowspan="1">Previous therapies</td></tr><tr><td rowspan="1" colspan="1"> • 1</td><td rowspan="1" colspan="1">256 (41)</td><td rowspan="1" colspan="1">359 (37)</td><td char="." align="char" rowspan="4" colspan="1">0.07</td><td rowspan="1" colspan="1">54 (44)</td><td rowspan="1" colspan="1">108 (43)</td><td char="." align="char" rowspan="4" colspan="1">0.67</td></tr><tr><td rowspan="1" colspan="1"> • 2</td><td rowspan="1" colspan="1">176 (28)</td><td rowspan="1" colspan="1">281 (29)</td><td rowspan="1" colspan="1">37 (31)</td><td rowspan="1" colspan="1">83 (33)</td></tr><tr><td rowspan="1" colspan="1"> • 3</td><td rowspan="1" colspan="1">118 (19)</td><td rowspan="1" colspan="1">162 (17)</td><td rowspan="1" colspan="1">20 (17)</td><td rowspan="1" colspan="1">48 (19)</td></tr><tr><td rowspan="1" colspan="1"> • &gt; 3</td><td rowspan="1" colspan="1">74 (12)</td><td rowspan="1" colspan="1">154 (16)</td><td rowspan="1" colspan="1">9 (8)</td><td rowspan="1" colspan="1">12 (5)</td></tr><tr><td colspan="7" rowspan="1">Smoking status</td></tr><tr><td rowspan="1" colspan="1"> • Never smoker</td><td rowspan="1" colspan="1">134 (21)</td><td rowspan="1" colspan="1">171 (18)</td><td char="." align="char" rowspan="4" colspan="1">0.06</td><td rowspan="1" colspan="1">13 (11)</td><td rowspan="1" colspan="1">18 (7)</td><td char="." align="char" rowspan="4" colspan="1">0.14</td></tr><tr><td rowspan="1" colspan="1"> • Former smoker</td><td rowspan="1" colspan="1">308 (49)</td><td rowspan="1" colspan="1">457 (48)</td><td rowspan="1" colspan="1">69 (57)</td><td rowspan="1" colspan="1">156 (62)</td></tr><tr><td rowspan="1" colspan="1"> • Active smoker</td><td rowspan="1" colspan="1">134 (21)</td><td rowspan="1" colspan="1">226 (23)</td><td rowspan="1" colspan="1">23 (19)</td><td rowspan="1" colspan="1">60 (24)</td></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">50 (8)</td><td rowspan="1" colspan="1">108 (11)</td><td rowspan="1" colspan="1">15 (13)</td><td rowspan="1" colspan="1">17 (7)</td></tr><tr><td colspan="7" rowspan="1">EGFR status</td></tr><tr><td rowspan="1" colspan="1"> • Mutated</td><td rowspan="1" colspan="1">47 (8)</td><td rowspan="1" colspan="1">55 (6)</td><td char="." align="char" rowspan="3" colspan="1">0.10</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="3" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Wild-type</td><td rowspan="1" colspan="1">514 (82)</td><td rowspan="1" colspan="1">779 (81)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">65 (10)</td><td rowspan="1" colspan="1">128 (13)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td colspan="7" rowspan="1">KRAS status</td></tr><tr><td rowspan="1" colspan="1"> • Mutated</td><td rowspan="1" colspan="1">91 (15)</td><td rowspan="1" colspan="1">115 (12)</td><td char="." align="char" rowspan="3" colspan="1">0.23</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="3" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Wild-type</td><td rowspan="1" colspan="1">132 (21)</td><td rowspan="1" colspan="1">192 (20)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">403 (64)</td><td rowspan="1" colspan="1">655 (68)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td colspan="7" rowspan="1">BRAF status</td></tr><tr><td rowspan="1" colspan="1"> • Mutated</td><td rowspan="1" colspan="1">5 (1)</td><td rowspan="1" colspan="1">6 (1)</td><td char="." align="char" rowspan="3" colspan="1">0.54</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="3" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Wild-type</td><td rowspan="1" colspan="1">85 (14)</td><td rowspan="1" colspan="1">114 (12)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">536 (85)</td><td rowspan="1" colspan="1">842 (87)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td colspan="7" rowspan="1">ALK status</td></tr><tr><td rowspan="1" colspan="1"> • Mutated</td><td rowspan="1" colspan="1">5 (1)</td><td rowspan="1" colspan="1">11 (1)</td><td char="." align="char" rowspan="3" colspan="1">0.51</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="3" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Wild-type</td><td rowspan="1" colspan="1">407 (65)</td><td rowspan="1" colspan="1">645 (67)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">214 (34)</td><td rowspan="1" colspan="1">306 (32)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td colspan="7" rowspan="1">ROS1 status</td></tr><tr><td rowspan="1" colspan="1"> • Mutated</td><td rowspan="1" colspan="1">3 (1)</td><td rowspan="1" colspan="1">1 (1)</td><td char="." align="char" rowspan="3" colspan="1">0.29</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="3" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Wild-type</td><td rowspan="1" colspan="1">142 (23)</td><td rowspan="1" colspan="1">207 (21)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"> • Unk</td><td rowspan="1" colspan="1">481 (76)</td><td rowspan="1" colspan="1">754 (78)</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">Unk</italic> Unknown</p></table-wrap-foot></table-wrap>
</p><p id="Par45">Percentage of <italic toggle="yes">EGFR</italic>, <italic toggle="yes">KRAS</italic>, <italic toggle="yes">BRAF</italic>, <italic toggle="yes">ALK</italic> and <italic toggle="yes">ROS1</italic> mutations was similar in the two groups. Among BOM+ patients, 264 (42.1%) had received palliative radiotherapy to the bone.</p></sec><sec id="Sec9"><title>Cohort B</title><p id="Par46">Among the 371 patients with squamous histology, 120 (32%) were BoM+ and 251 BoM- (68%). Age, gender, PS, and presence of liver or brain metastases did not significantly differ between BoM+ and BoM- patients (Table <xref rid="Tab1" ref-type="table">1</xref>). Thirty-eight (31.6%) BoM+ had received palliative radiotherapy to the bone.</p></sec></sec><sec id="Sec10"><title>Efficacy in cohort A</title><p id="Par47">As illustrated in Table <xref rid="Tab2" ref-type="table">2</xref>, outcome of patients with bone metastases was particularly poor. BoM+ patients had significantly lower ORR (12% versus 23%, <italic toggle="yes">p</italic> &lt; 0.0001), shorter PFS (3.0 versus 4.0 months, p &lt; 0.0001) and OS (7.4 versus 15.3 months, p &lt; 0.0001) than BoM-. Figures <xref rid="Fig1" ref-type="fig">1</xref>a and Additional file <xref rid="MOESM1" ref-type="supplementary-material">1</xref>A show the difference in PFS and in OS between BoM+ and BoM- patients. At 12 months, only 15% of BoM+ patients did not progress versus 27% in the BoM- group (<italic toggle="yes">p</italic> &lt; 0.0001). OS rate at 12 months was also in favor of BoM- patients (38% in BoM+ versus 55% in BoM-, p &lt; 0.0001)<italic toggle="yes">.</italic>
<table-wrap id="Tab2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab2</object-id><caption xml:lang="en"><p>Efficacy in cohorts A and B and according to bone involvement</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Parameter</th><th rowspan="1" colspan="1">All non Squamous (N/%)</th><th rowspan="1" colspan="1">All Squamous (N/%)</th><th rowspan="1" colspan="1">Non SquamousBoM+ (N/%)</th><th rowspan="1" colspan="1">Non-SquamousBoM- (N/%)</th><th rowspan="1" colspan="1">p</th><th rowspan="1" colspan="1">Squamous BoM+ (N/%)</th><th rowspan="1" colspan="1">SquamousBoM- (N/%)</th><th rowspan="1" colspan="1">p</th></tr></thead><tbody><tr><td colspan="9" rowspan="1">Response</td></tr><tr><td rowspan="1" colspan="1"> • CR</td><td rowspan="1" colspan="1">12/1</td><td rowspan="1" colspan="1">4/1</td><td rowspan="1" colspan="1">7/1</td><td rowspan="1" colspan="1">5/1</td><td char="." align="char" rowspan="5" colspan="1">&lt; 0.0001*</td><td rowspan="1" colspan="1">0/0</td><td rowspan="1" colspan="1">4/2</td><td char="." align="char" rowspan="5" colspan="1">0.04*</td></tr><tr><td rowspan="1" colspan="1"> • PR</td><td rowspan="1" colspan="1">278/17</td><td rowspan="1" colspan="1">65/18</td><td rowspan="1" colspan="1">66/11</td><td rowspan="1" colspan="1">212/22</td><td rowspan="1" colspan="1">15/13</td><td rowspan="1" colspan="1">50/20</td></tr><tr><td rowspan="1" colspan="1"> • SD</td><td rowspan="1" colspan="1">414/26</td><td rowspan="1" colspan="1">108/28</td><td rowspan="1" colspan="1">137/22</td><td rowspan="1" colspan="1">277/29</td><td rowspan="1" colspan="1">25/21</td><td rowspan="1" colspan="1">83/33</td></tr><tr><td rowspan="1" colspan="1"> • PD</td><td rowspan="1" colspan="1">818/52</td><td rowspan="1" colspan="1">189/50</td><td rowspan="1" colspan="1">393/63</td><td rowspan="1" colspan="1">425/44</td><td rowspan="1" colspan="1">78/65</td><td rowspan="1" colspan="1">111/44</td></tr><tr><td rowspan="1" colspan="1"> • NV</td><td rowspan="1" colspan="1">66/4</td><td rowspan="1" colspan="1">5/3</td><td rowspan="1" colspan="1">23/3</td><td rowspan="1" colspan="1">43/4</td><td rowspan="1" colspan="1">2/2</td><td rowspan="1" colspan="1">3/1</td></tr><tr><td rowspan="1" colspan="1">Median PFS(months/range)</td><td rowspan="1" colspan="1">3.0 (2.9–3.1)</td><td rowspan="1" colspan="1">4.2 (3.4–5.0)</td><td rowspan="1" colspan="1">3 (2.9–3.1)</td><td rowspan="1" colspan="1">4 (3.5–4.5)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">2.7 (2.2–3.2)</td><td rowspan="1" colspan="1">5.2 (4.3–6.0)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td></tr><tr><td rowspan="1" colspan="1">12 months PFS (%)</td><td rowspan="1" colspan="1">23</td><td rowspan="1" colspan="1">27</td><td rowspan="1" colspan="1">15</td><td rowspan="1" colspan="1">27</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">15</td><td rowspan="1" colspan="1">31</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td></tr><tr><td align="center" rowspan="1" colspan="1">Median OS(months/range)</td><td rowspan="1" colspan="1">11.3 (10.2–12.4)</td><td rowspan="1" colspan="1">7.9 (6.2–9.6)</td><td rowspan="1" colspan="1">7.4 (6.0–8.8)</td><td rowspan="1" colspan="1">15.3 (13.2—17.4)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">5 (3.9–6.1)</td><td rowspan="1" colspan="1">10.9 (8.4–13.4)</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td></tr><tr><td rowspan="1" colspan="1">12 months OS (%)</td><td rowspan="1" colspan="1">48</td><td rowspan="1" colspan="1">39</td><td rowspan="1" colspan="1">38</td><td rowspan="1" colspan="1">55</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">19</td><td rowspan="1" colspan="1">48</td><td char="." align="char" rowspan="1" colspan="1">&lt; 0.0001</td></tr></tbody></table><table-wrap-foot><p>*<italic toggle="yes">p</italic> value was calculated in CR + PR versus SD + PD</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>OS in the two cohorts, in patients with PS = 0 and in patients with liver metastases. <bold>a</bold>: In all non-squamous patients, OS was 7.4 versus 15.3 months in BoM+ and BoM- (&lt; 0.0001), respectively. <bold>b</bold>: In all squamous patients, OS was 5.0 versus 10.9 months in BoM+ and BoM- (&lt; 0.0001), respectively. <bold>c</bold>: In non-squamous patients with PS = 0, OS was 12.0 versus 20.9 months (p &lt; 0.0001) in patients BoM+ and BoM-, respectively. <bold>d</bold>: In squamous patients with PS = 0, OS was 5.8 versus 16.4 months (p &lt; 0.0001) in patients BoM+ and BoM-, respectively. <bold>e</bold>: In non-squamous patients with liver metastases, OS was 4.0 versus 8.4 months (<italic toggle="yes">p</italic> &lt; 0.0001) in patients BoM+ and BoM-, respectively. <bold>f</bold>: In squamous patients with liver metastases, OS was 5.5 versus 6.4 months (p = 0.48) in patients BoM+ and BoM-, respectively</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_793_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par48">In order to assess whether PS, liver or brain metastases could drive the poor outcome of BoM+ individuals, we analyzed ORR, PFS and OS in these specific subgroups. As illustrated in Additional file <xref rid="MOESM2" ref-type="supplementary-material">2</xref>, presence of BoM statistically associated with poor outcome in terms of ORR, PFS and OS irrespective of the three variables considered (Fig. <xref rid="Fig1" ref-type="fig">1</xref> c,e; Additional file <xref rid="MOESM1" ref-type="fig">1</xref> C-E and Additional file <xref rid="MOESM3" ref-type="supplementary-material">3</xref> A-B). We further restricted our analysis to the 615 patients receiving nivolumab in second-line setting only. Also in this subgroup, ORR, PFS and OS were significantly worse in BoM+ patients (Additional file <xref rid="MOESM4" ref-type="supplementary-material">4</xref> A,B; Additional file <xref rid="MOESM2" ref-type="fig">2</xref>). Finally, we analyzed the outcome of the 102 patients harboring <italic toggle="yes">EGFR</italic> mutations according to presence of BoM (Additional file <xref rid="MOESM5" ref-type="supplementary-material">5</xref> A,B; Additional file <xref rid="MOESM2" ref-type="fig">2</xref>), with similar results.</p></sec><sec id="Sec11"><title>Efficacy in cohort B</title><p id="Par49">As illustrated in Table <xref rid="Tab2" ref-type="table">2</xref>, outcome of BoM+ patients was similar to what observed in the non-squamous cohort. BoM+ patients had significantly lower ORR (13% versus 22%, <italic toggle="yes">p</italic> = 0.04), shorter PFS (2.7 versus 5.2 months, <italic toggle="yes">p</italic> &lt; 0.0001; Additional file <xref rid="MOESM1" ref-type="fig">1</xref>B) and OS (5.0 versus 10.9 months, p &lt; 0.0001; Fig. <xref rid="Fig1" ref-type="fig">1</xref>b). At 12-months PFS was 15% in BoM+ and 31% in BoM- (<italic toggle="yes">p</italic> = 0.001) while 12-months OS was 19% in BoM+ versus 48% in BoM- (p &lt; 0.0001)<italic toggle="yes">.</italic>
</p><p id="Par50">Efficacy analyses according to PS or presence or liver or bone metastases confirmed that the worse outcome observed in individuals with skeletal involvement was not related to a lower PS of the BoM+ patients or to concomitant spread into liver or brain (Fig.<xref rid="Fig1" ref-type="fig">1</xref> b,d,f; Additional file <xref rid="MOESM1" ref-type="fig">1</xref> D,F; Additional file <xref rid="MOESM3" ref-type="fig">3</xref> C,D). Analogous results were observed in patients treated with nivolumab in second-line setting (Additional file <xref rid="MOESM6" ref-type="supplementary-material">6</xref> and Additional file <xref rid="MOESM7" ref-type="supplementary-material">7</xref>).</p><p id="Par51">To better define the role of bone metastases in a different population of pretreated NSCLC, we re-analyzed data from patients enrolled in the phase II METROS trial [<xref ref-type="bibr" rid="CR20">20</xref>]. In this group of oncogene addicted population, presence of bone metastases negatively affected both PFS and OS (p 0.02 and 0.04, respectively. Data not shown).</p></sec><sec id="Sec12"><title>Univariate and multivariate analyses</title><p id="Par52">Clinical variables potentially influencing survival were included in a univariate model (Table <xref rid="Tab3" ref-type="table">3</xref>). The variables resulted significant, were further included in a multivariate model. In both cohorts, among factors included in the univariate model, PS, liver metastases and bone metastases independently associated with higher risk of death in the multivariate model (HRs in BoM+: 1.50 in non-squamous and 1.78 in squamous, p &lt; 0.0001 for both cohorts). The same results were obtained when considering these factors for PFS and ORR (Additional file <xref rid="MOESM8" ref-type="supplementary-material">8</xref> and Additional file <xref rid="MOESM9" ref-type="supplementary-material">9</xref>).<table-wrap id="Tab3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab3</object-id><caption xml:lang="en"><p>Univariate and multivariate analyses for OS in cohorts A and B combined</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1"/><th colspan="4" rowspan="1">Cohort A</th><th colspan="4" rowspan="1">Cohort B</th></tr><tr><th rowspan="1" colspan="1">Factors</th><th rowspan="1" colspan="1">Univariate analysisHR (95% C.I.)</th><th rowspan="1" colspan="1">p</th><th rowspan="1" colspan="1">Multivariate analysisHR (95% C.I.)</th><th rowspan="1" colspan="1">p</th><th rowspan="1" colspan="1">Univariate analysisHR (95% C.I.)</th><th rowspan="1" colspan="1">p</th><th rowspan="1" colspan="1">Multivariate analysisHR (95% C.I.)</th><th rowspan="1" colspan="1">p</th></tr></thead><tbody><tr><td align="center" rowspan="1" colspan="1">Age (≥ 65 vs ≤ 65)</td><td rowspan="1" colspan="1">0.9 (0.80–1.04)</td><td rowspan="1" colspan="1">0.18</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">1.13 (0.86–1.47)</td><td rowspan="1" colspan="1">0.38</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td colspan="9" rowspan="1">Gender</td></tr><tr><td rowspan="1" colspan="1"> (male vs female)</td><td rowspan="1" colspan="1">1.03 (0.89–1.18)</td><td rowspan="1" colspan="1">0.73</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">1.20 (0.87–1.67)</td><td rowspan="1" colspan="1">0.27</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td colspan="9" rowspan="1">ECOG PS</td></tr><tr><td rowspan="1" colspan="1"> 1 vs 0</td><td rowspan="1" colspan="1">1.59 (1.37–1.83)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.45 (1.24–1.69)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.59 (1.20–2.11)</td><td rowspan="1" colspan="1">0.001</td><td rowspan="1" colspan="1">1.51 (1.14–2.00)</td><td rowspan="1" colspan="1">0.04</td></tr><tr><td rowspan="1" colspan="1"> 2 vs 0</td><td rowspan="1" colspan="1">3.47 (2.71–4.45)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">3.09 (2.38–4.02)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">2.53 (1.54–4.17)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">2.46 (1.49–4.05)</td><td rowspan="1" colspan="1">&lt; 0.0001</td></tr><tr><td colspan="9" rowspan="1">Smoking habits</td></tr><tr><td align="center" rowspan="1" colspan="1"> Current/former vs never</td><td rowspan="1" colspan="1">0.85 (0.72–1.00)</td><td rowspan="1" colspan="1">0.05</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">1.27 (0.79–2.07)</td><td rowspan="1" colspan="1">0.32</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td align="center" rowspan="1" colspan="1">Brain mets(yes vs no)</td><td rowspan="1" colspan="1">1.24 (1.06–1.43)</td><td rowspan="1" colspan="1">0.006</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">1.07 (0.70–1.63)</td><td rowspan="1" colspan="1">0.75</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td align="center" rowspan="1" colspan="1">Liver mets(yes vs no)</td><td rowspan="1" colspan="1">1.84 (1.58–2.15)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.64 (1.39–1.93)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.58 (1.16–2.15)</td><td rowspan="1" colspan="1">0.004</td><td rowspan="1" colspan="1">1.43 (1.01–1.95)</td><td rowspan="1" colspan="1">0.03</td></tr><tr><td align="center" rowspan="1" colspan="1">Bone mets(yes vs no)</td><td rowspan="1" colspan="1">1.67 (1.46–1.91)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.50 (1.30–1.73)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.90 (1.47–2.47)</td><td rowspan="1" colspan="1">&lt; 0.0001</td><td rowspan="1" colspan="1">1.78 (1.37–2.31)</td><td rowspan="1" colspan="1">&lt; 0.0001</td></tr><tr><td colspan="9" rowspan="1">Previous CT Lines</td></tr><tr><td rowspan="1" colspan="1"> 2 vs 1</td><td rowspan="1" colspan="1">0.87 (0.73–1.03)</td><td rowspan="1" colspan="1">0.10</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">0.91 (0.61–1.22)</td><td rowspan="1" colspan="1">0.54</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td></tr><tr><td rowspan="1" colspan="1">  &gt; 2 vs 1</td><td rowspan="1" colspan="1">1.03 (0.88–1.21</td><td rowspan="1" colspan="1">0.67</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">0.73 (0.53–1.02)</td><td rowspan="1" colspan="1">0.06</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr></tbody></table></table-wrap>
</p></sec><sec id="Sec13"><title>Additional analyses</title><p id="Par53">In order to define the impact of palliative radiotherapy to the bone, we analyzed data considering all BoM+ patients (non-squamous and squamous) as divided into two groups: patients with bone metastases treated with RT (BoM+/RT+, <italic toggle="yes">N</italic> = 302) and patients with bone metastases and no prior RT (BoM +/RT-, <italic toggle="yes">N</italic> = 444). No differences in terms of OS, PFS and ORR were observed (Additional file <xref rid="MOESM10" ref-type="supplementary-material">10</xref>). Further, we evaluated early deaths (intended as death within the first 3 months of treatment) and early progressions (intended as progression within the first 3 months of treatment) in the whole study population (non-squamous plus squamous, <italic toggle="yes">N</italic> = 1959) according to bone metastases (BoM+, <italic toggle="yes">N</italic> = 746; BoM- = 1213) and to prior RT. Both early deaths and early progressions were significantly higher in BoM + patients included in the EAP nivolumab program and were not influenced by prior RT (Additional file <xref rid="MOESM11" ref-type="supplementary-material">11</xref>). Finally, we performed the same analysis considering the METROS cohort. In such study, early progressions events resulted numerically higher in patients with bone metastases (Additional file <xref rid="MOESM11" ref-type="fig">11</xref>).</p></sec><sec id="Sec14"><title>Safety</title><p id="Par54">Summary of AEs occurring in &gt; 1% of patients is reported in Additional file <xref rid="MOESM12" ref-type="supplementary-material">12</xref>. In cohort A any grade or grade 3–4 AEs were respectively 31 and 7% in BoM+ and 34 and 7% in BoM-. Differences were not statistically significant. The most common grade 3/4 treatment-related AEs were fatigue/asthenia (2%), anemia (1%), increased transaminases (2%), increased lipase/amylase (1%), dyspnea (1%), and pneumonitis (1%) in BoM+ patients, and fatigue/asthenia (2%), pain (1%), and dyspnea (1%) in BoM- patients. Discontinuation rate was 88% (<italic toggle="yes">n</italic> = 553) in BoM+ and 78% (<italic toggle="yes">n</italic> = 747) in BoM-. Treatment-related (TR) AEs leading to discontinuation occurred in 24 (4%) patients with bone metastasis and 41 (5%) patients without bone metastasis. Similar results were observed in the cohort B, where grade 3–4 gastrointestinal AEs occurred in 3% of BoM+ and &lt; 1% in BoM-. BoM+ had endocrine grade 3–4 AEs in 5% versus &lt; 1% in BoM-. TRAEs leading to discontinuation were reported in 16 (2.1%) of BoM+ and 63 (5.2%) in BoM-. Selected TRAEs were managed using protocol-defined toxicity management algorithms. No treatment-related deaths occurred.</p></sec></sec><sec id="Sec15" sec-type="discussion"><title>Discussion</title><p id="Par55">While ICIs have shown significant efficacy in controlling visceral metastases in several malignancies, their specific efficacy in patients with bone metastases is not well understood [<xref ref-type="bibr" rid="CR10">10</xref>–<xref ref-type="bibr" rid="CR12">12</xref>]. To the best of our knowledge, this is the largest study investigating whether presence of bone metastases influences immunotherapy efficacy in NSCLC. BoM+ patients had poor outcome for any efficacy end-point, irrespective of tumor histology, patient PS, concomitant spread into the liver or brain, or prior palliative radiotherapy in the bone, showing that organ-specific metastases are relevant factors in individual candidate to immunotherapy.</p><p id="Par56">Distant metastases, particularly in the liver or in the brain, negatively affect survival in NSCLC [<xref ref-type="bibr" rid="CR21">21</xref>–<xref ref-type="bibr" rid="CR23">23</xref>]. Even if clinical trials with immunotherapy generally included only patients with asymptomatic and pretreated brain metastases, immunotherapy seems effective in controlling intracranial disease [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. In addition, recent findings suggested that immunotherapy could be particularly effective in patients with hepatic localizations. In the IMPOWER 150 trial, a phase III study investigating efficacy of atezolizumab, a monoclonal antibody against PD-L1, in addition to carboplatin-paclitaxel-bevacizumab or to carboplatin-paclitaxel versus carboplatin-paclitaxel-bevacizumab combination, a remarkable OS improvement was observed in patients with liver metastases, raising the question whether site of disease is a relevant factor for immunotherapy [<xref ref-type="bibr" rid="CR3">3</xref>]. The increasing interest in defining immunotherapy efficacy according to the site of metastatic [<xref ref-type="bibr" rid="CR10">10</xref>–<xref ref-type="bibr" rid="CR12">12</xref>], led us to focus our interest on the bone for two main reasons. The first one was the evidence that bone has a relevant role in modulating immune-response [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR26">26</xref>]. Bone marrow contains high levels of multiple immune cells with relevant functions. It is now clear that bone marrow can supplant the secondary lymphoid tissue either as a site of primary immune response or memory response [<xref ref-type="bibr" rid="CR16">16</xref>]. Thus, bone marrow is an immune regulatory organ, affecting systemic immunity and therapeutic efficacy of conventional treatments and immunotherapy [<xref ref-type="bibr" rid="CR13">13</xref>]. The second reason relies on the evidence that presence of bone metastases is a negative prognostic factor in lung cancer. Literature data clearly indicated that skeletal involvement is associated with shorter survival [<xref ref-type="bibr" rid="CR14">14</xref>]. Recently, a large phase III study confirmed that bone involvement is a negative prognostic factor. In the CheckMate 227 study, patients with bone metastases assigned to platinum-based chemotherapy had a median OS of only 8 months, shorter than in individuals without bone disease [<xref ref-type="bibr" rid="CR27">27</xref>]. Nevertheless, none of the randomized trials with immunotherapy, including the CheckMate 227, stratified patients for site of metastases precluding any firm conclusion. In our study, two different cohorts of patients, accounting for a total of 1959 patients, received nivolumab in second or further line of therapy. In both cohorts, patients with bone metastases had significantly lower systemic response rate and significantly shorter PFS and OS. By analyzing the data, we first hypothesized that the negative outcome of BoM+ patients was related to the lower PS generally associated with bone metastases, or to coexistence of liver or brain metastases. Nevertheless, a detrimental effect was observed independently of PS or intracranial or hepatic involvement, thus suggesting a different mechanism than a simple PS deterioration or high tumor burden. Even if the lack of a control arm precluded the possibility to discriminate between predictive and prognostic role of bone metastases, data from the Checkmate 057 study, a phase III trial comparing nivolumab to docetaxel as second-line therapy in NSCLC, support the hypothesis that bone involvement could predict lower sensitivity to immunotherapy [<xref ref-type="bibr" rid="CR28">28</xref>]. In this trial, among 161 patients with skeletal metastases, 86 received nivolumab and 75 docetaxel. Survival analysis showed that 26 out of 86 patients in the nivolumab arm versus 11 out of 75 in the docetaxel arm died within 3 months, and this difference was statistically significant (<italic toggle="yes">p</italic> = 0.019). Similarly, in our study, BoM+ patients had an excess in early progression and death reinforcing the hypothesis that immunotherapy cannot reverse the negative prognostic value of bone dissemination. In addition, a recent study in breast cancer mouse model showed that antitumor efficacy of PD-1 blockade is enhanced by concomitant administration of zoledronic acid, a biphosphonate-drug typically used in the treatment and prevention of pathologic fractures [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR29">29</xref>]. All together these data support the concept of bone as an organ modulating sensitivity to immunotherapy. In our study, data on concomitant use of biphosphonates were not collected precluding us the possibility to explore whether such agents could also influence sensitivity to immunotherapy.</p><p id="Par57">Other limitations of our study included its retrospective nature without a predefined method for bone assessment, the lack of information on bone involvement (single versus multiple lesions), the absence of a control arm without immunotherapy and the lack of information on PD-L1 expression and TMB status. PD-L1 expression was not required for study entry and lack of tumor tissue from patients included onto the study did not allow additional biomarker analyses. Indeed, further studies are warranted to define whether levels of PD-L1 expression or TMB differ in patients with or without bone metastases and whether the worse outcome of BoM+ patients depends on the status of the two biomarkers. Moreover, since all patients included in the present analyses were pretreated, it is not possible to define whether the same effect is present in first-line setting. Even with these limitations, the outcome of our patients was similar to what has been observed in clinical trials [<xref ref-type="bibr" rid="CR5">5</xref>, <xref ref-type="bibr" rid="CR6">6</xref>].</p><p id="Par58">Finally, whether anti-angiogenic agents could increase immunotherapy efficacy in BoM+ patients is a crucial question to address. In bone marrow, immature myeloid cells differentiate in myeloid-derived suppressor cells (MDSCs) and acquire immunosuppressive activity [<xref ref-type="bibr" rid="CR16">16</xref>]. Among anti-cancer drugs potentially affecting the MDSC component, bevacizumab seems one of the most promising. In a recent study, Wallin et al. showed that combination of atezolizumab and bevacizumab increases intra-tumoral CD8 + T cells, suggesting that dual anti-VEGF and anti-PD-L1 inhibition improves antigen-specific T-cell migration [<xref ref-type="bibr" rid="CR30">30</xref>]. Even if the IMPOWER 150 trial supported the synergistic effect of atezolizumab and bevacizumab combination, the efficacy of this strategy in BoM+ patients remains undefined and additional investigations are warranted [<xref ref-type="bibr" rid="CR3">3</xref>].</p></sec><sec id="Sec16" sec-type="conclusions"><title>Conclusions</title><p id="Par59">In conclusion, our data suggest that presence of BoM could impair immunotherapy efficacy. Additional studies should investigate biological mechanisms responsible for such effect, including whether PD-L1 expression or TMB could discriminate subpopulation of BoM+ patients benefiting from the treatment. Accurate bone staging should be included in clinical trials with immunotherapy.</p></sec></body><back><sec><title>Funding</title><p>This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p></sec><ack><p>We are indebted with Fondazione Ricerca Traslazionale (FoRT) for support in editing the manuscript and with all investigators providing data.</p></ack><fn-group><fn fn-type="other"><label>Supplementary information</label><p>
<bold>Supplementary information</bold> accompanies this paper at 10.1186/s40425-019-0793-8.</p></fn></fn-group><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>LL and FC contributed to the design of the study. LL, AG, RC, FG, AD, AP, DS, FG, DG, HS-P, GM, MT, MRM, FC, LT, PF, FP, LC contributed to the clinical management of patients and database, providing clinical pathological and molecular data; FC, LL, DG, MT performed analysis and interpretation; LL, FD and FC wrote the manuscript; all authors read and approved the final version of the manuscript.</p></notes><notes notes-type="data-availability"><title>Availability of data and materials</title><p>All the data analysed supporting the results reported in the article may be found/are archived at the Biostatistics Unit, Scientific Direction, IRCSS Regina Elena National Cancer Institute, Rome.</p></notes><notes notes-type="ethics"><sec id="FPar1"><title>Ethics approval and consent to participate</title><p id="Par60">The Local Ethics Committee of each center approved the EAP protocol and all the patients provided a written informed consent before enrollment. The study was conducted in accordance with the Declaration of Helsinki.</p></sec><sec id="FPar2"><title>Consent for publication</title><p id="Par61">Not applicable.</p></sec><sec id="FPar3"><title>Competing interests</title><p id="Par62">LL declares consultancy role for Pfizer, AstraZeneca, Bristol-Myers Squibb, Merck Sharp &amp;Dhome; RC declares consultancy role for Pfizer and AstraZeneca and speaker’s fee for Bristol-Myers Squibb, AstraZeneca, Boheringher Ingelheim; FG declares lecture fees and advisory board fees from Merck Sharp&amp;Dohme, Pierre Fabre, Pfizer, Novartis, and Boehringer Ingelheim, grant support, lecture fees, and advisory board fees from Bristol-Myers Squibb, and lecture fees from AstraZeneca, Amgen, and Roche; DS declares consultancy Role and Speaker’s fee for AstraZeneca, Bristol-Myers Squibb, Boheringer Ingelheim; DG declares consultancy role for Bristol-Myers Squibb; MT declares consultancy role and speaker’s fee for Pfizer, AstraZeneca, Bristol-Myers Squibb, Merck Sharp&amp;Dohme, Roche, Novartis, Eli-Lilly, Boheringer Ingelheim and Takeda; MRM declares consultancy role and speaker’s fee for Pfizer, AstraZeneca, Bristol- Myers Squibb, Merck Sharp &amp; Dohme, Roche, Boheringer Ingelheim; FC declares consultancy role for Pfizer, AstraZeneca, Bristol-Myers Squibb, Merck Sharp &amp;Dohme Roche, Pfizer, Novartis and Takeda. No other conflicts are reported.</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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<supplementary-material content-type="local-data" id="MOESM11" xlink:title="Supplementary information" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM11</object-id><media xlink:href="40425_2019_793_MOESM11_ESM.doc" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Additional file 11. Early death and early progression in the whole study population according to bone metastases (BoM) and to prior palliative radiotherapy (RT) and in the METROS cohort.</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM12" xlink:title="Supplementary information" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM12</object-id><media xlink:href="40425_2019_793_MOESM12_ESM.doc" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Additional file 12. Treatment related adverse events in cohorts A and B.</p></caption></media></supplementary-material>
</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>ALK</term><def><p id="Par6">Anaplastic lymphoma kinase</p></def></def-item><def-item><term>BoM</term><def><p id="Par7">Bone metastases</p></def></def-item><def-item><term>BRAF</term><def><p id="Par8">Serine/threonine-protein kinase B-Raf</p></def></def-item><def-item><term>CI</term><def><p id="Par9">Confidence interval</p></def></def-item><def-item><term>CR</term><def><p id="Par10">Complete response</p></def></def-item><def-item><term>EAP</term><def><p id="Par11">Expanded Access Program</p></def></def-item><def-item><term>ECOG</term><def><p id="Par12">Eastern Cooperative Oncology Group</p></def></def-item><def-item><term>EGFR</term><def><p id="Par13">Epidermal growth factor receptor</p></def></def-item><def-item><term>HBV</term><def><p id="Par14">Hepatitis B virus</p></def></def-item><def-item><term>HCV</term><def><p id="Par15">Hepatitis B virus</p></def></def-item><def-item><term>HIV</term><def><p id="Par16">Human immunodeficiency virus</p></def></def-item><def-item><term>HR</term><def><p id="Par17">Hazard ratio</p></def></def-item><def-item><term>ICI</term><def><p id="Par18">Immune checkpoint inhibitor</p></def></def-item><def-item><term>KRAS</term><def><p id="Par19">Kirsten rat sarcoma viral oncogene homolog</p></def></def-item><def-item><term>MDSC</term><def><p id="Par20">Myeloid-derived suppressor cell</p></def></def-item><def-item><term>NSCLC</term><def><p id="Par21">Non-small-cell lung cancer</p></def></def-item><def-item><term>NV</term><def><p id="Par22">Not valuable</p></def></def-item><def-item><term>ORR</term><def><p id="Par23">Objective response rate</p></def></def-item><def-item><term>OS</term><def><p id="Par24">Overall survival</p></def></def-item><def-item><term>PD</term><def><p id="Par25">Progressive disease</p></def></def-item><def-item><term>PD-1</term><def><p id="Par26">Programmed death-1 receptor</p></def></def-item><def-item><term>PD-L1</term><def><p id="Par27">PD-ligand 1</p></def></def-item><def-item><term>PFS</term><def><p id="Par28">Progression free survival</p></def></def-item><def-item><term>PR</term><def><p id="Par29">Partial response</p></def></def-item><def-item><term>PS</term><def><p id="Par30">Performance status</p></def></def-item><def-item><term>RECIST</term><def><p id="Par31">Response Evaluation in Solid Tumors</p></def></def-item><def-item><term>ROS1</term><def><p id="Par32">c-ros oncogene 1</p></def></def-item><def-item><term>SD</term><def><p id="Par33">Stable disease</p></def></def-item><def-item><term>TMB</term><def><p id="Par34">Tumor Mutational Burden</p></def></def-item><def-item><term>TRAE</term><def><p id="Par35">Treatment related adverse event</p></def></def-item><def-item><term>Unk</term><def><p id="Par36">Unknown</p></def></def-item><def-item><term>VEGF</term><def><p id="Par37">Vascular endothelial growth factor</p></def></def-item></def-list></def-list></glossary></back></article>