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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">s40425-019-0569-1</article-id><article-id pub-id-type="manuscript">569</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0569-1</article-id><article-id pub-id-type="pmid">30925943</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/91.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Short Report</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Proteomic test for anti-PD-1 checkpoint blockade treatment of metastatic melanoma with and without BRAF mutations</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ascierto</surname><given-names>Paolo A.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor1">a</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Capone</surname><given-names>Mariaelena</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor2">b</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Grimaldi</surname><given-names>Antonio M.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor3">c</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mallardo</surname><given-names>Domenico</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor4">d</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simeone</surname><given-names>Ester</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor5">e</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Madonna</surname><given-names>Gabriele</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor6">f</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Roder</surname><given-names>Heinrich</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor7">g</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meyer</surname><given-names>Krista</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor8">h</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Asmellash</surname><given-names>Senait</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor9">i</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Oliveira</surname><given-names>Carlos</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor10">j</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Roder</surname><given-names>Joanna</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor11">k</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-8136-6167</contrib-id><name name-style="western"><surname>Grigorieva</surname><given-names>Julia</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor12">l</xref></contrib><aff id="Aff1">
<label>Aff1</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">Istituto Nazionale Tumori IRCCS Fondazione “G. Pascale”</institution></institution-wrap>
<addr-line content-type="city">Naples</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff2">
<label>Aff2</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0790 385X</institution-id><institution-id institution-id-type="GRID">grid.4691.a</institution-id><institution content-type="org-division" xlink:type="simple">Department of Translational Medical Sciences and Center for Basic and Clinical Immunology Research (CISI)</institution><institution content-type="org-name" xlink:type="simple">University of Naples Federico II</institution></institution-wrap>
<addr-line content-type="postcode">80131</addr-line>
<addr-line content-type="city">Naples</addr-line>
<country country="IT">Italy</country>
</aff><aff id="Aff3">
<label>Aff3</label>
<institution-wrap><institution content-type="org-name" xlink:type="simple">Biodesix Inc</institution></institution-wrap>
<addr-line content-type="city">Boulder</addr-line>
<addr-line content-type="state">CO</addr-line>
<country country="US">USA</country>
</aff></contrib-group><author-notes><corresp id="cor1">
<label>a</label>
<email xlink:type="simple">paolo.ascierto@gmail.com</email>
</corresp><corresp id="cor2">
<label>b</label>
<email xlink:type="simple">marilenacapone@gmail.com</email>
</corresp><corresp id="cor3">
<label>c</label>
<email xlink:type="simple">dott.a.m.grimaldi@gmail.com</email>
</corresp><corresp id="cor4">
<label>d</label>
<email xlink:type="simple">dome.mallardo@gmail.com</email>
</corresp><corresp id="cor5">
<label>e</label>
<email xlink:type="simple">ester.simeone@gmail.com</email>
</corresp><corresp id="cor6">
<label>f</label>
<email xlink:type="simple">gabriele.madonna@yahoo.it</email>
</corresp><corresp id="cor7">
<label>g</label>
<email xlink:type="simple">heinrich.roder@biodesix.com</email>
</corresp><corresp id="cor8">
<label>h</label>
<email xlink:type="simple">krista.meyer@biodesix.com</email>
</corresp><corresp id="cor9">
<label>i</label>
<email xlink:type="simple">senait.asmellash@biodesix.com</email>
</corresp><corresp id="cor10">
<label>j</label>
<email xlink:type="simple">carlos.oliveira.cacia@gmail.com</email>
</corresp><corresp id="cor11">
<label>k</label>
<email xlink:type="simple">joanna.roder@biodesix.com</email>
</corresp><corresp id="cor12">
<label>l</label>
<email xlink:type="simple">julia.grigorieva@biodesix.com</email>
</corresp></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="2019-03-29" pub-type="epub-original" publication-format="electronic"><day>29</day><month>3</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="2019-03-29T00:00:00-07:00" pub-type="epub"><day>29</day><month>3</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>91</elocation-id><history><date date-type="received" iso-8601-date="2018-12-09"><day>9</day><month>12</month><year>2018</year></date><date date-type="accepted" iso-8601-date="2019-03-15"><day>15</day><month>3</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_569_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><p id="Par1">The therapeutic landscape in metastatic melanoma has changed dramatically in the last decade, with the success of immune checkpoint inhibitors resulting in durable responses for a large number of patients. For patients with <italic toggle="yes">BRAF</italic> mutations, combinations of BRAF and MEK inhibitors demonstrated response rates and benefit comparable to those from immune checkpoint inhibitors, providing the rationale for sequential treatment with targeted and immunotherapies and raising the question of optimal treatment sequencing.</p><p id="Par2">Biomarkers for the selection of anti-PD-1 therapy in <italic toggle="yes">BRAF</italic> wild type (<italic toggle="yes">BRAF</italic> WT) and in <italic toggle="yes">BRAF</italic> mutated (<italic toggle="yes">BRAF</italic> MUT) patients help development of alternative treatments for patients unlikely to benefit, and might lead to better understanding of the interaction of checkpoint inhibition and targeted therapy. In this paper we evaluate the performance of a previously developed serum proteomic test, BDX008, in metastatic melanoma patients treated with anti-PD-1 agents and investigate the role of <italic toggle="yes">BRAF</italic> mutation status. BDX008, a pre-treatment proteomic test associated with acute phase reactants, wound healing and complement activation, stratifies patients into two groups, BDX008+ and BDX008-, with better and worse outcomes on immunotherapy.</p><p id="Par3">Serum samples were available from 71 patients treated with anti-PD1 inhibitors; 25 patients had <italic toggle="yes">BRAF</italic> mutations, 39 were wild type. Overall, BDX008+ patients had significantly better overall survival (OS) (HR = 0.50, <italic toggle="yes">P</italic> = 0.016) and a trend for better progression-free survival (PFS) (HR = 0.61, <italic toggle="yes">P</italic> = 0.060) than BDX008- patients. BDX008 classification was statistically significant in the analyses adjusted for mutation status, LDH, and line of treatment (<italic toggle="yes">P</italic> = 0.009 for OS and 0.031 for PFS). <italic toggle="yes">BRAF</italic> WT BDX008+ patients had markedly long median OS of 32.5 months and 53% landmark 2 years survival, with statistically significantly superior OS as compared to BDX008- patients (HR = 0.41, <italic toggle="yes">P</italic> = 0.032). The difference between BDX008+ and BDX008- in PFS in <italic toggle="yes">BRAF</italic> WT patients and in OS and PFS in <italic toggle="yes">BRAF</italic> MUT patients did not reach statistical significance, though numerically was consistent with overall results. The test demonstrated significant interaction with neutrophil-to-lymphocyte ratio (NLR) (PFS <italic toggle="yes">P</italic> = 0.041, OS <italic toggle="yes">P</italic> = 0.004). BDX008 as a biomarker selecting for benefit from immune checkpoint blockade, especially in patients with wild type <italic toggle="yes">BRAF</italic> and in subgroups with low NLR<italic toggle="yes">,</italic> warrants further evaluation.</p></abstract><kwd-group xml:lang="en"><kwd>Immunotherapy</kwd><kwd>Proteomic test</kwd><kwd>Melanoma</kwd><kwd>
<italic toggle="yes">BRAF</italic> mutations</kwd><kwd>Anti-PD-1</kwd><kwd>Nivolumab</kwd><kwd>Pembrolizumab</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>1</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>3</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>15</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_569.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-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par15">Remarkable progress in treatment of metastatic melanoma patients in the past decade led from only marginal survival benefit from chemotherapy, which was a standard of care before 2011 [<xref ref-type="bibr" rid="CR1">1</xref>], to 20–30% of durable responses and approximately 42–47% 3 years survival in advanced patients harboring <italic toggle="yes">BRAF</italic> mutations treated with targeted therapy [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR3">3</xref>]. In unselected patients treated with immune checkpoint inhibitors landmark 4 years survival was 46–53% [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR5">5</xref>] with durable antitumor immunity persistent 2 years after the cessation of treatment [<xref ref-type="bibr" rid="CR6">6</xref>].</p><p id="Par16">Approximately 40–50% of patients with metastatic cutaneous melanoma harbor <italic toggle="yes">BRAF</italic> V600 mutations, which constitutively activate the mitogen-activated protein kinase (MAPK) pathway. The BRAF inhibitors vemurafenib and dabrafenib had shown high response rates in this group of patients. Addition of downstream MEK inhibitors, such as trametinib or cobimetinib, to BRAF inhibitors, resulted in improvements in efficacy over monotherapy, with median PFS of approximately 12 months and around 20% of patients remaining progression-free for 3 years. The new combination of encorafenib and binimetinib resulted in improved median PFS (15 months) and OS (34 months) and 3 years progression-free survival in 28% of patients [<xref ref-type="bibr" rid="CR3">3</xref>].</p><p id="Par17">Monoclonal antibodies against cytotoxic T-lymphocyte antigen-4 (CTLA-4) and programmed cell death protein 1 (PD-1) and its ligand (PD-L1) have demonstrated high activity in melanoma and other solid tumors. Ipilimumab was the first FDA-approved anti-CTLA-4 agent to achieve superiority against dacarbazine and 20% survival at 3 years and up to 10 years [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR8">8</xref>]. Anti-PD-1 antibodies demonstrated good clinical activity with less toxicity than chemotherapy or ipilimumab [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>]. The combination of nivolumab and ipilimumab has shown superior activity over monotherapy with either nivolumab or ipilimumab in previously untreated patients, independent of <italic toggle="yes">BRAF</italic> status [<xref ref-type="bibr" rid="CR4">4</xref>], however at the cost of more grade 3 or 4 adverse events.</p><p id="Par18">Advanced melanoma <italic toggle="yes">BRAF</italic> MUT patients receiving the newest combinations of BRAF and MEK inhibitors achieved outcomes similar to those of unselected patients on ipilimumab/nivolumab therapy [<xref ref-type="bibr" rid="CR11">11</xref>]; however, immunotherapy resulted in more patients remaining progression-free in the long term. While in the <italic toggle="yes">BRAF</italic> WT population immunotherapy has become a standard of care, an optimal strategy in patients with <italic toggle="yes">BRAF</italic> mutations is not that clear. Preclinical evidence suggested a synergistic effect from a combination of targeted and immunotherapies due to activation of the immune system by BRAF/MEK inhibitors and showed promising efficacy in clinical settings [<xref ref-type="bibr" rid="CR12">12</xref>], however was hindered by a high toxicity rate [<xref ref-type="bibr" rid="CR13">13</xref>]. Sequential treatment with immune checkpoint and BRAF/MEK inhibitors is considered more suitable for broad clinical practice; several ongoing prospective clinical trials are comparing different sequential approaches (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02631447" xlink:type="simple">NCT02631447</ext-link>,  <ext-link ext-link-type="clintrialgov" xlink:href="NCT02224781" xlink:type="simple">NCT02224781</ext-link>). It was proposed that tumors innately resistant to anti-PD-1 therapy share a transcriptional signature with melanoma cells treated with MAPK inhibitors [<xref ref-type="bibr" rid="CR14">14</xref>]; however, it is not yet known whether a shared phenotype predicting sensitivity to BRAF inhibitors and anti-PD-1 agents exists. It would be ideal to find a test identifying either responders to targeted therapy who are unlikely to benefit more from immunotherapy or patients who may be good candidates for more aggressive treatment, such as triplet combination in patients with <italic toggle="yes">BRAF</italic> mutations [<xref ref-type="bibr" rid="CR12">12</xref>]. Since BRAF and MEK inhibitors have a modifying effect on the tumor microenvironment [<xref ref-type="bibr" rid="CR15">15</xref>], testing should be done before each new therapy type, and it is important to validate that a particular molecular test is applicable to patients with different treatment histories. It would also be advantageous to have a test that does not rely on tissue availability and could be repeated in the course of multiple lines of treatment.</p><p id="Par19">The BDX008 test was developed to identify patients with better or worse outcomes when treated with immune therapies, using a cohort of ipilimumab-naïve and ipilimumab-pretreated patients from the <ext-link ext-link-type="clintrialgov" xlink:href="NCT01176461" xlink:type="simple">NCT01176461</ext-link> clinical study [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR17">17</xref>]. The test uses matrix-assisted laser/desorption ionization (MALDI) mass spectrometry to measure the circulating proteome in blood; it requires a minimal amount of pre-treatment serum (&lt; 10 μL). BDX008 has been previously validated in several independent cohorts in melanoma and lung cancers [<xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR18">18</xref>].</p><p id="Par20">Given the potential clinical utility of BDX008 for optimization of advanced melanoma treatment, we sought to further validate the test in an independent cohort of patients with known <italic toggle="yes">BRAF</italic> mutation status treated with anti-PD-1 therapy in an unselected population previously treated with ipilimumab. Considering that the majority of <italic toggle="yes">BRAF</italic> MUT patients had received BRAF and/or MEK inhibitors in prior lines, we were interested to see whether the performance of the test would be different in this subgroup of melanoma patients. In additional exploratory analysis we have evaluated the effect of the BDX008 test depending on neutrophil-to-lymphocyte ratio (NLR), which is a surrogate marker of systemic inflammation [<xref ref-type="bibr" rid="CR19">19</xref>] and is known to be prognostic for outcomes in melanoma and other solid tumors [<xref ref-type="bibr" rid="CR20">20</xref>].</p></sec><sec id="Sec2" sec-type="methods"><title>Methods</title><sec id="Sec3"><title>Patients and samples</title><p id="Par21">In this retrospective observational study, 71 pre-treatment serum samples from patients receiving anti-PD-1 therapy were available for analysis and passed quality control in the generation of mass spectra.</p><p id="Par22">Patients were treated with nivolumab at 3 mg/kg every 2 weeks or pembrolizumab at 2 mg/kg every 3 weeks until progression or occurrence of toxicity. One patient had received no prior treatment; the rest of the patients were pre-treated with ipilimumab at 3 mg/kg every 3 weeks for 4 cycles. 24% of patients were treated with immune checkpoint inhibitors in 2nd line, 75% in 3rd or higher line. 55% of patients were <italic toggle="yes">BRAF</italic> WT, 35% were <italic toggle="yes">BRAF</italic> MUT, and for 10% the <italic toggle="yes">BRAF</italic> status was not available. 88% of <italic toggle="yes">BRAF</italic> MUT patients had received prior treatment with vemurafenib (960 mg b.i.d.) and/or cobimetinib (60 mg/die for 21 days every 4 weeks).</p><p id="Par23">Patient characteristics are summarized in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S1. Patient characteristics for the whole cohort; individual clinical data and outcomes are described in Additional file <xref rid="MOESM2" ref-type="fig">2</xref>: Clinical information and outcomes.</p></sec><sec id="Sec4"><title>Spectra acquisition and processing</title><p id="Par24">Samples were processed in the same way as for the development of BDX008 using standardized operating procedures described in detail in the Supplementary materials (Additional file <xref rid="MOESM3" ref-type="fig">3</xref>).</p></sec><sec id="Sec5"><title>BDX008 test</title><p id="Par25">BDX008 was previously developed using modern machine learning techniques, optimized to minimize potential for overfitting and maximize generalization to unseen data sets in cases when there are more attributes measured than samples available. One hundred nineteen samples from patients with unresectable melanoma treated with nivolumab in the scope of the <ext-link ext-link-type="clintrialgov" xlink:href="NCT01176461" xlink:type="simple">NCT01176461</ext-link> clinical trial were used in test development [<xref ref-type="bibr" rid="CR17">17</xref>] (details can be found in the Supplementary materials, Additional file <xref rid="MOESM3" ref-type="fig">3</xref>). BDX008 stratifies patients into two groups, BDX008+ and BDX008-, with better and worse outcomes on immunotherapy.</p><p id="Par26">The test was applied without changes to the described cohort of advanced melanoma patients blinded to clinical data.</p></sec><sec id="Sec6"><title>Statistical analysis</title><p id="Par27">All analyses were performed using SAS9.3, SAS Enterprise Guide (SAS Institute, Cary, NC) or PRISM (GraphPad, La Jolla, CA).</p><p id="Par28">Survival plots and medians were generated using the Kaplan-Meier method. Hazard ratios and <italic toggle="yes">P</italic> values were calculated using Cox proportional hazard models; all P values are two-sided.</p></sec></sec><sec id="Sec7" sec-type="results"><title>Results</title><p id="Par29">Thirty patients (42%) were classified as BDX008+ and 41 (58%) were classified as BDX008-. Patient characteristics by BDX008 classification for the whole cohort and for subgroups with and without <italic toggle="yes">BRAF</italic> mutations are presented in Table <xref rid="Tab1" ref-type="table">1</xref>. There was no significant correlation of BDX008 classification with <italic toggle="yes">BRAF</italic> status (Fisher’s test <italic toggle="yes">P</italic> = 0.605) and other clinical characteristics. However BDX008- classification was correlated with higher levels of lactate dehydrogenase (LDH), (Fisher’s test <italic toggle="yes">P</italic> = 0.006 at LDH cutoff of twice the upper limit of normal (ULN<sup>1</sup>)) and with NLR ≥5 (Fisher’s test <italic toggle="yes">P</italic> = 0.003).<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Patient characteristics by BDX008 classification for all patients and by <italic toggle="yes">BRAF</italic> status</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" colspan="1"/><th colspan="2" rowspan="1">All patients (N = 71)</th><th colspan="2" rowspan="1">BRAF WT (N = 39)</th><th colspan="2" rowspan="1">BRAF MUT (N = 25)</th></tr><tr><th rowspan="1" colspan="1">BDX008+ (N = 30)</th><th rowspan="1" colspan="1">BDX008- (N = 41)</th><th rowspan="1" colspan="1">BDX008+ (N = 15)</th><th rowspan="1" colspan="1">BDX008- (N = 24)</th><th rowspan="1" colspan="1">BDX008+ (N = 12)</th><th rowspan="1" colspan="1">BDX008- (N = 13)</th></tr></thead><tbody><tr><td colspan="7" rowspan="1">Age</td></tr><tr><td rowspan="1" colspan="1"> Median (Range)</td><td rowspan="1" colspan="1">59 (28–86)</td><td rowspan="1" colspan="1">66 (32–80)</td><td rowspan="1" colspan="1">59 (34–86)</td><td rowspan="1" colspan="1">61 (44–80)</td><td rowspan="1" colspan="1">52 (29–69)</td><td rowspan="1" colspan="1">67 (32–78)</td></tr><tr><td colspan="7" rowspan="1">Gender, n (%)</td></tr><tr><td rowspan="1" colspan="1"> Female</td><td rowspan="1" colspan="1">16 (53)</td><td rowspan="1" colspan="1">19 (46)</td><td rowspan="1" colspan="1">8 (53)</td><td rowspan="1" colspan="1">10 (42)</td><td rowspan="1" colspan="1">7 (58)</td><td rowspan="1" colspan="1">7 (54)</td></tr><tr><td rowspan="1" colspan="1"> Male</td><td rowspan="1" colspan="1">14 (47)</td><td rowspan="1" colspan="1">22 (54)</td><td rowspan="1" colspan="1">7 (47)</td><td rowspan="1" colspan="1">14 (58)</td><td rowspan="1" colspan="1">5 (42)</td><td rowspan="1" colspan="1">6 (46)</td></tr><tr><td colspan="7" rowspan="1">BRAF Status, n (%)</td></tr><tr><td rowspan="1" colspan="1"> Mutation</td><td rowspan="1" colspan="1">12 (40)</td><td rowspan="1" colspan="1">13 (32)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">12 (100)</td><td rowspan="1" colspan="1">13 (100)</td></tr><tr><td rowspan="1" colspan="1"> Wild Type</td><td rowspan="1" colspan="1">15 (50)</td><td rowspan="1" colspan="1">24 (59)</td><td rowspan="1" colspan="1">15(100)</td><td rowspan="1" colspan="1">24(100)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> NA</td><td rowspan="1" colspan="1">3 (10)</td><td rowspan="1" colspan="1">4 (10)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td colspan="7" rowspan="1">Line of Therapy with anti-PD-1, n (%)</td></tr><tr><td rowspan="1" colspan="1"> 1st</td><td rowspan="1" colspan="1">1 (3)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> 2nd</td><td rowspan="1" colspan="1">4(13)</td><td rowspan="1" colspan="1">13 (32)</td><td rowspan="1" colspan="1">3 (20)</td><td rowspan="1" colspan="1">9 (38)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">3 (23)</td></tr><tr><td rowspan="1" colspan="1"> 3rd</td><td rowspan="1" colspan="1">17(57)</td><td rowspan="1" colspan="1">16 (39)</td><td rowspan="1" colspan="1">11 (73)</td><td rowspan="1" colspan="1">11 (46)</td><td rowspan="1" colspan="1">5 (42)</td><td rowspan="1" colspan="1">3 (23)</td></tr><tr><td rowspan="1" colspan="1"> 4th</td><td rowspan="1" colspan="1">4 (13)</td><td rowspan="1" colspan="1">10 (24)</td><td rowspan="1" colspan="1">1 (7)</td><td rowspan="1" colspan="1">4 (17)</td><td rowspan="1" colspan="1">3 (25)</td><td rowspan="1" colspan="1">6 (46)</td></tr><tr><td rowspan="1" colspan="1"> 5th and higher</td><td rowspan="1" colspan="1">4 (13)</td><td rowspan="1" colspan="1">2 (5)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">4 (33)</td><td rowspan="1" colspan="1">1(8)</td></tr><tr><td colspan="7" rowspan="1">Targeted therapy, n (%)</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">18 (60)</td><td rowspan="1" colspan="1">28 (68)</td><td rowspan="1" colspan="1">14 (93)</td><td rowspan="1" colspan="1">22 (92)</td><td rowspan="1" colspan="1">2 (15)</td><td rowspan="1" colspan="1">1 (8)</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">12 (40)</td><td rowspan="1" colspan="1">13 (32)</td><td rowspan="1" colspan="1">1 (7)</td><td rowspan="1" colspan="1">2 (8)</td><td rowspan="1" colspan="1">11 (85)</td><td rowspan="1" colspan="1">11 (92)</td></tr><tr><td colspan="7" rowspan="1">Anti-PD-1 agent, n (%)</td></tr><tr><td rowspan="1" colspan="1"> Nivolumab</td><td rowspan="1" colspan="1">9 (30)</td><td rowspan="1" colspan="1">15 (37)</td><td rowspan="1" colspan="1">6 (40)</td><td rowspan="1" colspan="1">10 (42)</td><td rowspan="1" colspan="1">1 (8)</td><td rowspan="1" colspan="1">4 (31)</td></tr><tr><td rowspan="1" colspan="1"> Pembrolizumab</td><td rowspan="1" colspan="1">21 (70)</td><td rowspan="1" colspan="1">26 (62)</td><td rowspan="1" colspan="1">9 (60)</td><td rowspan="1" colspan="1">14 (58)</td><td rowspan="1" colspan="1">11 (92)</td><td rowspan="1" colspan="1">9 (69)</td></tr><tr><td colspan="7" rowspan="1">NLR, n (%)</td></tr><tr><td rowspan="1" colspan="1"> &lt;5</td><td rowspan="1" colspan="1">25 (83)</td><td rowspan="1" colspan="1">19 (46)</td><td rowspan="1" colspan="1">14 (93)</td><td rowspan="1" colspan="1">12 (50)</td><td rowspan="1" colspan="1">8 (67)</td><td rowspan="1" colspan="1">5 (38)</td></tr><tr><td rowspan="1" colspan="1"> ≥5</td><td rowspan="1" colspan="1">5 (17)</td><td rowspan="1" colspan="1">22 (54)</td><td rowspan="1" colspan="1">1 (7)</td><td rowspan="1" colspan="1">12 (50)</td><td rowspan="1" colspan="1">4 (33)</td><td rowspan="1" colspan="1">8 (62)</td></tr><tr><td colspan="7" rowspan="1">LDH</td></tr><tr><td rowspan="1" colspan="1"> Median (in IU/l)</td><td rowspan="1" colspan="1">402</td><td rowspan="1" colspan="1">617</td><td rowspan="1" colspan="1">379</td><td rowspan="1" colspan="1">525</td><td rowspan="1" colspan="1">416</td><td rowspan="1" colspan="1">728</td></tr><tr><td rowspan="1" colspan="1"> NA, n (%)</td><td rowspan="1" colspan="1">5 (17)</td><td rowspan="1" colspan="1">2 (5)</td><td rowspan="1" colspan="1">3 (20)</td><td rowspan="1" colspan="1">2 (8)</td><td rowspan="1" colspan="1">2 (17)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> &lt;2ULNa, n (%)</td><td rowspan="1" colspan="1">22 (73)</td><td rowspan="1" colspan="1">21 (51)</td><td rowspan="1" colspan="1">12 (80)</td><td rowspan="1" colspan="1">15 (63)</td><td rowspan="1" colspan="1">7 (58)</td><td rowspan="1" colspan="1">5 (38)</td></tr><tr><td rowspan="1" colspan="1"> 2ULNa, n (%)</td><td rowspan="1" colspan="1">3 (10)</td><td rowspan="1" colspan="1">18 (44)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">7 (29)</td><td rowspan="1" colspan="1">3 (25)</td><td rowspan="1" colspan="1">8 (62)</td></tr><tr><td colspan="7" rowspan="1">Melanoma Type, n (%)</td></tr><tr><td rowspan="1" colspan="1"> cutaneous</td><td rowspan="1" colspan="1">22 (73)</td><td rowspan="1" colspan="1">24 (59)</td><td rowspan="1" colspan="1">11 (73)</td><td rowspan="1" colspan="1">14 (58)</td><td rowspan="1" colspan="1">10 (83)</td><td rowspan="1" colspan="1">9 (69)</td></tr><tr><td rowspan="1" colspan="1"> mucosal</td><td rowspan="1" colspan="1">2 (7)</td><td rowspan="1" colspan="1">1 (2)</td><td rowspan="1" colspan="1">2 (13)</td><td rowspan="1" colspan="1">1 (4)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> SPI</td><td rowspan="1" colspan="1">2 (7)</td><td rowspan="1" colspan="1">2 (5)</td><td rowspan="1" colspan="1">1 (7)</td><td rowspan="1" colspan="1">1 (4)</td><td rowspan="1" colspan="1">1 (8)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> uveal</td><td rowspan="1" colspan="1">2 (7)</td><td rowspan="1" colspan="1">4 (10)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">3 (13)</td><td rowspan="1" colspan="1">0 (0)</td><td rowspan="1" colspan="1">0 (0)</td></tr><tr><td rowspan="1" colspan="1"> NA</td><td rowspan="1" colspan="1">2 (7)</td><td rowspan="1" colspan="1">10 (24)</td><td rowspan="1" colspan="1">1 (7)</td><td rowspan="1" colspan="1">5 (21)</td><td rowspan="1" colspan="1">1 (8)</td><td rowspan="1" colspan="1">4 (31)</td></tr></tbody></table><table-wrap-foot><p>
<sup>a</sup>
<italic toggle="yes">ULN</italic> upper limit of normal (333 IU/l)</p></table-wrap-foot></table-wrap>
</p><p id="Par30">Median PFS and OS for the whole cohort were 3.2 months and 9.9 months, respectively. Unselected by BDX008, patients with <italic toggle="yes">BRAF</italic> mutations had numerically shorter median PFS: 2.6 months vs 5.1 months and OS: 5.5 months vs 15.7 months, than patients with wild type <italic toggle="yes">BRAF</italic>. The differences, however, were not statistically significant: PFS HR = 1.21 (95% CI: 0.70–2.09), <italic toggle="yes">P</italic> = 0.487; OS HR = 1.37 (95% CI: 0.76–2.46), <italic toggle="yes">P</italic> = 0.291. Of note is that patients with <italic toggle="yes">BRAF</italic> mutations tended to be treated with the anti-PD-1 agent in higher lines (average/median number of lines 2.8/3 in <italic toggle="yes">BRAF</italic> WT and 3.7/4 in <italic toggle="yes">BRAF</italic> MUT patients, Fisher’s test <italic toggle="yes">P</italic> = 0.076 for patients in 2nd line vs. higher lines). Three of the BRAF WT patients had uveal melanoma; with these patients excluded BRAF WT patients had median PFS and OS of 8.0 months and 16.4 months, respectively. The difference in PFS and OS between non-uveal <italic toggle="yes">BRAF</italic> WT and <italic toggle="yes">BRAF</italic> MUT patients remained not statistically significant (data not shown).</p><p id="Par31">BDX008+ classification was correlated with best overall response (<italic toggle="yes">P</italic> = 0.005), objective response rate (<italic toggle="yes">P</italic> = 0.056, trend), and disease control rate (<italic toggle="yes">P</italic> = 0.002) (details in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S2). OS and PFS results stratified by BDX008 are summarized in Table <xref rid="Tab2" ref-type="table">2</xref> and Fig. <xref rid="Fig1" ref-type="fig">1</xref>. In the whole cohort (<italic toggle="yes">N</italic> = 71), patients classified as BDX008+ had longer PFS and OS than BDX008- patients: median PFS 10.8 vs 2.8 months, HR = 0.61 (95% CI: 0.37–1.02), <italic toggle="yes">P</italic> = 0.060; median OS 18.3 vs 4.9 months, HR = 0.50 (95% CI: 0.29–0.88), <italic toggle="yes">P</italic> = 0.016. Similar results were observed in the <italic toggle="yes">BRAF</italic> WT (not-uveal) (<italic toggle="yes">N</italic> = 36) subgroup for OS: <italic toggle="yes">BRAF</italic> WT BDX008+ patients had significantly better OS than <italic toggle="yes">BRAF</italic> WT BDX008- patients (HR = 0.41 (95% CI: 0.18–0.93), <italic toggle="yes">P</italic> = 0.032); median OS was 32.5 months and 6.0 months in <italic toggle="yes">BRAF</italic> WT BDX008+ and BDX008- patients, respectively. In PFS the separation was not statistically significant: median PFS was 18.7 months in BDX008+ vs 3.0 months in BDX008- patients (HR = 0.70 95% CI: 0.35–1.42), <italic toggle="yes">P</italic> = 0.321) (Table <xref rid="Tab2" ref-type="table">2</xref> B). Outcome differences in patients with <italic toggle="yes">BRAF</italic> MUT (<italic toggle="yes">N</italic> = 25) with respect to BDX008 classification were not statistically significant (PFS HR = 0.55 (95% CI: 0.23–1.36), <italic toggle="yes">P</italic> = 0.196; OS HR = 0.73 (95% CI 0.29–1.80), <italic toggle="yes">P</italic> = 0.489), though numerically BDX008+ <italic toggle="yes">BRAF</italic> MUT patients had better outcomes than BDX008- <italic toggle="yes">BRAF</italic> MUT patients: median PFS was 4.5 months vs 2.2 months, median OS was 12.3 months vs 2.9 months, respectively (Table <xref rid="Tab2" ref-type="table">2</xref> C). It appears that <italic toggle="yes">BRAF</italic> WT patients classified as BDX008+ have especially good outcomes on anti-PD-1 treatment, while patients classified as BDX008- have poor prognosis on immunotherapy independently of their mutation status (Fig. <xref rid="Fig1" ref-type="fig">1</xref>, c-d). In the exploratory analysis, when patients were stratified by NLR, BDX008+ classification was associated with improved OS in the low NLR subgroup (<italic toggle="yes">N</italic> = 44): median OS was 29.7 months vs 6.8 months in BDX008+ and BDX008-, respectively, HR = 0.38 (95%CI: 0.19–0.79, <italic toggle="yes">P</italic> = 0.008) (Table <xref rid="Tab2" ref-type="table">2</xref> D, Fig <xref rid="Fig1" ref-type="fig">1</xref> e-f); BDX008+ patients also had numerically higher PFS (13.2 months vs 2.9 months in BDX008-, <italic toggle="yes">P</italic> = 0.169). In the high NLR subgroup (N = 25) BDX008 classification was not associated with PFS or OS (Table <xref rid="Tab2" ref-type="table">2</xref> E, Fig. <xref rid="Fig1" ref-type="fig">1</xref> e-f).<table-wrap id="Tab2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab2</object-id><caption xml:lang="en"><p>Treatment outcomes by test classification for the overall population (A), <italic toggle="yes">BRAF</italic> WT and <italic toggle="yes">BRAF</italic> MUT subgroups (B, C); and NLR &lt; 5 and NLR ≥ 5 subgroups (D, E)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" colspan="1">Classification</th><th colspan="2" rowspan="1">PFS</th><th colspan="2" rowspan="1">OS</th></tr><tr><th rowspan="1" colspan="1">BDX008-</th><th rowspan="1" colspan="1">BDX008+</th><th rowspan="1" colspan="1">BDX008-</th><th rowspan="1" colspan="1">BDX008+</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">A: All patients (N = 71)</td></tr><tr><td rowspan="1" colspan="1"> 2 years PFS or OS</td><td rowspan="1" colspan="1">17%</td><td rowspan="1" colspan="1">20%</td><td rowspan="1" colspan="1">22%</td><td rowspan="1" colspan="1">43%</td></tr><tr><td rowspan="1" colspan="1"> Median, months (95% CI)</td><td rowspan="1" colspan="1">2.8 (2.1–3.2)</td><td rowspan="1" colspan="1">10.8 (5.1–19.7)</td><td rowspan="1" colspan="1">4.9 (2.9–9.8)</td><td rowspan="1" colspan="1">18.3 (12.6–41.4)</td></tr><tr><td rowspan="1" colspan="1"> HR – vs + (95% CI)</td><td colspan="2" rowspan="1">0.61 (0.37–1.02)</td><td colspan="2" rowspan="1">0.50 (0.29–0.88)</td></tr><tr><td rowspan="1" colspan="1"> P value</td><td colspan="2" rowspan="1">0.060</td><td colspan="2" rowspan="1">0.016</td></tr><tr><td colspan="5" rowspan="1">B: BRAF WT, excluding uveal (N = 36)</td></tr><tr><td rowspan="1" colspan="1"> 2 years PFS or OS</td><td rowspan="1" colspan="1">24%</td><td rowspan="1" colspan="1">20%</td><td rowspan="1" colspan="1">24%</td><td rowspan="1" colspan="1">53%</td></tr><tr><td rowspan="1" colspan="1"> Median, months (95% CI)</td><td rowspan="1" colspan="1">3.0 (2.1–9.99)</td><td rowspan="1" colspan="1">18.7 (5.1–22.7)</td><td rowspan="1" colspan="1">6.0 (3.1–18.0)</td><td rowspan="1" colspan="1">32.5 (12.6-Undf*)</td></tr><tr><td rowspan="1" colspan="1"> HR – vs + (95% CI)</td><td colspan="2" rowspan="1">0.70 (0.35–1.42)</td><td colspan="2" rowspan="1">0.41 (0.18–0.93)</td></tr><tr><td rowspan="1" colspan="1"> P value</td><td colspan="2" rowspan="1">0.321</td><td colspan="2" rowspan="1">0.032</td></tr><tr><td colspan="5" rowspan="1">C: BRAF MUT (N = 25)</td></tr><tr><td rowspan="1" colspan="1"> 2 years PFS or OS</td><td rowspan="1" colspan="1">8%</td><td rowspan="1" colspan="1">25%</td><td rowspan="1" colspan="1">23%</td><td rowspan="1" colspan="1">33%</td></tr><tr><td rowspan="1" colspan="1"> Median, months (95% CI)</td><td rowspan="1" colspan="1">2.2 (0.99–3.4)</td><td rowspan="1" colspan="1">4.5 (0.99-Undf)</td><td rowspan="1" colspan="1">2.9 (2.1–11.2)</td><td rowspan="1" colspan="1">12.3 (1.25-Undf)</td></tr><tr><td rowspan="1" colspan="1"> HR – vs + (95% CI)</td><td colspan="2" rowspan="1">0.55 (0.23–1.36)</td><td colspan="2" rowspan="1">0.73 (0.29–1.80)</td></tr><tr><td rowspan="1" colspan="1"> P value</td><td colspan="2" rowspan="1">0.196</td><td colspan="2" rowspan="1">0.489</td></tr><tr><td colspan="5" rowspan="1">D: NLR &lt; 5 (N = 44)</td></tr><tr><td rowspan="1" colspan="1"> 2 years PFS or OS</td><td rowspan="1" colspan="1">21%</td><td rowspan="1" colspan="1">20%</td><td rowspan="1" colspan="1">21%</td><td rowspan="1" colspan="1">52%</td></tr><tr><td rowspan="1" colspan="1"> Median, months (95% CI)</td><td rowspan="1" colspan="1">2.9 (2.2–10.0)</td><td rowspan="1" colspan="1">13.2 (6.2–22.7)</td><td rowspan="1" colspan="1">6.8 (2.9–15.7)</td><td rowspan="1" colspan="1">29.7 (15.2-Undf)</td></tr><tr><td rowspan="1" colspan="1"> HR – vs + (95% CI)</td><td colspan="2" rowspan="1">0.63 (0.33–1.22)</td><td colspan="2" rowspan="1">0.38 (0.19–0.79)</td></tr><tr><td rowspan="1" colspan="1"> P value</td><td colspan="2" rowspan="1">0.169</td><td colspan="2" rowspan="1">0.008</td></tr><tr><td colspan="5" rowspan="1">E: NLR ≥5 (N = 27)</td></tr><tr><td rowspan="1" colspan="1"> 2 years PFS or OS</td><td rowspan="1" colspan="1">14%</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">23%</td><td rowspan="1" colspan="1">0%</td></tr><tr><td rowspan="1" colspan="1"> Median, months (95% CI)</td><td rowspan="1" colspan="1">2.4 (1.0–3.4)</td><td rowspan="1" colspan="1">1.1 (0.6–5.1)</td><td rowspan="1" colspan="1">3.8 (2.1–11.2)</td><td rowspan="1" colspan="1">1.8 (0.99–8.6)</td></tr><tr><td rowspan="1" colspan="1"> HR – vs + (95% CI)</td><td colspan="2" rowspan="1">1.88 (0.69–5.14)</td><td colspan="2" rowspan="1">1.80 (0.65–5.00)</td></tr><tr><td rowspan="1" colspan="1"> P value</td><td colspan="2" rowspan="1">0.220</td><td colspan="2" rowspan="1">0.255</td></tr></tbody></table><table-wrap-foot><p>*<italic toggle="yes">Undf = Undefined</italic>
</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 plots of outcome data by BDX008 classification for the whole cohort (<bold>a</bold>-<bold>b</bold>), for patients in subgroups with known <italic toggle="yes">BRAF</italic> status (<bold>c</bold>-<bold>d</bold>), and for patients in subgroups defined by NLR (<bold>e</bold>-<bold>f</bold>)</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_569_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par32">In multivariate analyses adjusted for mutation status, line of treatment, and LDH level, BDX008 classification remained significantly associated with PFS and OS (<italic toggle="yes">P</italic> = 0.031 and 0.009, respectively); high LDH and higher line of treatment (&gt; 2) were also significantly associated with worse outcomes (<italic toggle="yes">P</italic> = 0.027 and 0.011 for LDH and <italic toggle="yes">P</italic> = 0.016 and 0.008 for line of treatment for PFS and OS, respectively), while <italic toggle="yes">BRAF</italic> mutations were not significant (<italic toggle="yes">P</italic> = 0.895 and 0.793 for PFS and OS, respectively), see Table <xref rid="Tab3" ref-type="table">3</xref>, A. In the multivariate analysis of OS that included all these factors plus NLR as variables, line of treatment and LDH remained significant (<italic toggle="yes">P</italic>=0.010 and 0.008, respectively), while BDX008 and NLR trended towards significance (<italic toggle="yes">P</italic> = 0.097 and 0.094, respectively (Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S3). The Kaplan-Meier plots (Fig. <xref rid="Fig1" ref-type="fig">1</xref> e-f) suggested that the effect may be qualitatively different in the subgroups. Indeed, the analysis of interaction between BDX008 classification and NLR (Table <xref rid="Tab3" ref-type="table">3</xref> B) was significant both in PFS (<italic toggle="yes">P</italic> = 0.041) and OS (<italic toggle="yes">P</italic> = 0.004), confirming the importance of both variables for prognosis.<table-wrap id="Tab3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab3</object-id><caption xml:lang="en"><p>Multivariate analysis of PFS and OS (A) – un-stratified, (B) – stratified by treatment line, including interaction of NLR and BDX008</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" colspan="1"/><th colspan="2" rowspan="1">PFS</th><th colspan="2" rowspan="1">OS</th></tr><tr><th rowspan="1" colspan="1">P</th><th rowspan="1" colspan="1">HR (95% CI)</th><th rowspan="1" colspan="1">P</th><th rowspan="1" colspan="1">HR (95% CI)</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">A</td></tr><tr><td rowspan="1" colspan="1"> BDX008 (+ vs -)</td><td rowspan="1" colspan="1">0.031</td><td rowspan="1" colspan="1">0.51 (0.28–0.94)</td><td rowspan="1" colspan="1">0.009</td><td rowspan="1" colspan="1">0.42 (0.21–0.81)</td></tr><tr><td rowspan="1" colspan="1"> BRAF (MUT vs WT)</td><td rowspan="1" colspan="1">0.895</td><td rowspan="1" colspan="1">0.96 (0.50–1.85)</td><td rowspan="1" colspan="1">0.793</td><td rowspan="1" colspan="1">1.09 (0.56–2.14)</td></tr><tr><td rowspan="1" colspan="1"> Linea (&gt; 2 vs 2)</td><td rowspan="1" colspan="1">0.016</td><td rowspan="1" colspan="1">2.35 (1.17–4.71)</td><td rowspan="1" colspan="1">0.008</td><td rowspan="1" colspan="1">3.01 (1.33–6.82)</td></tr><tr><td rowspan="1" colspan="1"> LDH (highb vs low)</td><td rowspan="1" colspan="1">0.027</td><td rowspan="1" colspan="1">2.26 (1.10–4.67)</td><td rowspan="1" colspan="1">0.011</td><td rowspan="1" colspan="1">2.60 (1.24–5.43)</td></tr><tr><td rowspan="1" colspan="1"> LDH (n/a vs lowb)</td><td rowspan="1" colspan="1">0.322</td><td rowspan="1" colspan="1">1.53 (0.66–3.56)</td><td rowspan="1" colspan="1">0.332</td><td rowspan="1" colspan="1">1.56 (0.63–3.86)</td></tr><tr><td colspan="5" rowspan="1">B</td></tr><tr><td rowspan="1" colspan="1"> BDX008 (+ vs -)</td><td rowspan="1" colspan="1">0.096</td><td rowspan="1" colspan="1">0.57 (0.29–1.11)</td><td rowspan="1" colspan="1">0.002</td><td rowspan="1" colspan="1">0.32 (0.15–0.66)</td></tr><tr><td rowspan="1" colspan="1"> NLR ≥5 vs &lt; 5</td><td rowspan="1" colspan="1">0.183</td><td rowspan="1" colspan="1">1.57 (0.81–3.03)</td><td rowspan="1" colspan="1">0.592</td><td rowspan="1" colspan="1">1.20 (0.61–2.37)</td></tr><tr><td rowspan="1" colspan="1"> BDX008*NLR interaction</td><td rowspan="1" colspan="1">0.041</td><td rowspan="1" colspan="1">3.57 (1.06–12.03)</td><td rowspan="1" colspan="1">0.004</td><td rowspan="1" colspan="1">6.53 (1.82–23.45)</td></tr></tbody></table><table-wrap-foot><p>
<sup>a</sup>Line of anti-PD-1 therapy</p><p>
<sup>b</sup>High LDH &gt; 2 ULN, Low LDH &lt; 2 ULN</p></table-wrap-foot></table-wrap>
</p></sec><sec id="Sec8" sec-type="discussion"><title>Discussion</title><p id="Par33">The goal of this retrospective study was to validate the previously developed BDX008 test in melanoma patients treated with anti-PD-1 therapy and to evaluate its role depending on <italic toggle="yes">BRAF</italic> mutation status. The results confirmed the prognostic property of the test in the whole cohort and in the <italic toggle="yes">BRAF</italic> WT patients, while in the <italic toggle="yes">BRAF</italic> MUT subgroup, numerical advantage in PFS and OS of patients with BDX008+ classification did not reach statistical significance. Importantly, multivariate analysis confirmed that BDX008 classification was significantly associated with PFS and OS independently of <italic toggle="yes">BRAF</italic> status, line of treatment, and LDH; LDH and treatment line were also significant prognostic factors in the analysis, while <italic toggle="yes">BRAF</italic> status was not. Additional exploratory analysis evaluated the effect of the test in relation to NLR - another prognostic factor associated with systemic inflammation. Correlation between high NLR and poor outcomes in melanoma and other solid tumors, including those treated with immunotherapies, was demonstrated previously [<xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR21">21</xref>]. We observed a significant interaction between the two factors in PFS and OS; it appears that in patients with BDX008+ classification NLR plays an important role, while in patients with poor prognosis by BDX008, PFS and OS are similar for high and low NLR patients (Fig. <xref rid="Fig1" ref-type="fig">1</xref> e-f). Considering that patients with low NLR and BDX008+ had landmark 2 years survival of 52% and median OS of 28.7 months in advanced lines of treatment with immunotherapy, further studies of using these two biomarkers in combination are warranted.</p><p id="Par34">Small sample size, especially in the <italic toggle="yes">BRAF</italic> MUT subgroup (<italic toggle="yes">N</italic> = 25) and NLR ≥ 5 (<italic toggle="yes">N</italic> = 27), is a significant limitation of this study, resulting in reduced power of the statistical analysis and preliminary nature of the results. Another limitation is a difference in prior therapy and number of prior treatments between the subgroups, which allows only for qualitative comparisons. However, the results appear to be consistent and could be of clinical relevance. Overall, patients with <italic toggle="yes">BRAF</italic> mutations had worse outcomes than <italic toggle="yes">BRAF</italic> WT patients, which could be due to a combination of several factors, such as more previous lines of therapy or poorer sensitivity to anti-PD-1 agents of these patients, when used after treatment with BRAF and MEK inhibitors. Additionally, prior targeted therapy may select for more aggressive disease which is harder to treat, possibly leading to worse outcomes. The multivariate analysis indicated that the line of treatment, rather than <italic toggle="yes">BRAF</italic> mutation status, is significantly correlated with outcomes; however, the majority of patients with <italic toggle="yes">BRAF</italic> mutations had, on average, more lines of treatment and 88% of them were treated with BRAF and /or MEK inhibitors in prior lines.</p><p id="Par35">An important aspect of the BDX008 test is that, instead of focusing on few known molecular markers, BDX008 is a truly multivariate classifier, utilizing information pertinent to the circulating proteome in an unbiased, hypothesis-free way (for details, see Supplementary materials, Additional file <xref rid="MOESM3" ref-type="fig">3</xref>), tending to reflect the systemic host response to the disease. Subsequent analysis of correlations between test classifications and various biological functions can provide insights into the mechanisms of sensitivity and resistance associated with the test. By applying a gene set enrichment analysis (GSEA) approach [<xref ref-type="bibr" rid="CR22">22</xref>] to protein expression data, the BDX008 test was shown to be associated with acute phase reactants, wound healing, and complement activation [<xref ref-type="bibr" rid="CR17">17</xref>]. Independent studies have demonstrated that complement activation can downregulate adaptive antitumor immunity [<xref ref-type="bibr" rid="CR23">23</xref>], while chronic inflammation, characterized by pathological activation of wound healing processes and up-regulation of various acute phase reactants, creates a tumor-supportive and immune-suppressive microenvironment by activating MAPK pathways, affecting secretion of cytokines, and influencing innate and adaptive immune cells [<xref ref-type="bibr" rid="CR24">24</xref>]. Observation of significant interaction between NLR and BDX008 in our study is intriguing, because it indicates that while both factors are related to systemic inflammation, they are not equivalent and capture different aspects of the state of the organism, which merits further exploration.</p><p id="Par36">Up-regulation of inflammatory/acute response processes in treatment-naïve patients, as well as a result of prior therapies, including with BRAF/MEK inhibitors, may be part of the biological mechanism related to the poor prognosis associated with the BDX008- classification and with differences in the performance of the BDX008 test in population subgroups, which appears to work better in patients without <italic toggle="yes">BRAF</italic> mutations and in patients with low NLR. However, the effect of smaller sample size in the subgroups, resulting in diminished power of the analysis and, consequently, in the lack of significance in differences between BDX008- and BDX008+ in PFS and OS, also cannot be excluded. Hence, a larger study is needed to confirm the difference between the performance of the test in <italic toggle="yes">BRAF</italic> WT and <italic toggle="yes">BRAF</italic> MUT populations, and to elucidate whether it is defined by the biological aspects related to <italic toggle="yes">BRAF</italic> status or to prior therapy. Notably, patients classified as BDX008+ who were <italic toggle="yes">BRAF</italic> WT or had low NLR, demonstrated especially good outcomes, with median OS exceeding 32 months and 53% landmark 2 years survival, highlighting the clinical utility of the test for predicting good prognosis on anti-PD-1 monotherapy in these groups of advanced melanoma patients.</p></sec><sec id="Sec9" sec-type="conclusions"><title>Conclusions</title><p id="Par37">In conclusion, this study independently validated previous results that BDX008 stratifies melanoma patients treated with anti-PD-1 agents into groups with better and worse PFS and OS in a mutation-unselected population and in <italic toggle="yes">BRAF</italic> WT patients; its role in patients with <italic toggle="yes">BRAF</italic> mutations and in relation to prior treatments needs to be confirmed in larger patient cohorts. In this study, treatment with anti-PD-1 of <italic toggle="yes">BRAF</italic> MUT patients who were classified as BDX008- resulted in numerically worse outcomes; BDX008+ patients had generally better prognosis, and BDX008+ <italic toggle="yes">BRAF</italic> WT patients had the best outcomes. In patients unselected by BRAF status, the best outcomes were observed in patients with low NLR and BDX008+ classification, indicating the possibility of further refinement of therapy using two biomarkers. However the small sample size and retrospective nature of the study requires further validation of these findings.</p></sec></body><back><ack><p>Not applicable.</p></ack><fn-group><fn fn-type="other"><label>Funding</label><p id="Par38">This work was supported by grants from the Italian Ministry of Health (IT-MOH) through “Ricerca Corrente”. MG receives funding from the institutional “Ricerca Corrente”.</p></fn><fn fn-type="other"><label>Availability of data and materials</label><p id="Par39">The datasets supporting the conclusions of this article are included within the article (and its additional files).</p></fn><fn fn-type="other"><label>Electronic supplementary material</label><p>The online version of this article (10.1186/s40425-019-0569-1) contains supplementary material, which is available to authorized users.</p></fn></fn-group><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>JG, HR, JR and PAA contributed to the study concepts and study design. Data acquisition was performed by GM, MC, DM, AMG, and ES; spectral acquisition, analysis, and test classification were performed by SA, CO and KM. All the authors contributed to the quality control, analysis and interpretation of data. The statistical analysis was performed by JR and JG. Manuscript preparation was performed by JG and edited by HR and PAA. All authors reviewed and approved the manuscript.</p></notes><notes notes-type="ethics"><sec id="FPar3"><title>Ethics approval and consent to participate</title><p id="Par40">The study was approved by the Ethics Committee of the Istituto Nazionale Tumori IRCCS Fondazione “G. Pascale” with registration number 35/16 and all patients signed informed consent for the use of biological samples for research purposes.</p></sec><sec id="FPar4"><title>Consent for publication</title><p id="Par41">Not applicable.</p></sec><sec id="FPar5"><title>Competing interests</title><p id="Par42">P.A: Consulting or Advisory Role for BMS, Roche-Genentech, MSD, Array, Novartis, Merck Serono, Pierre Fabre, Incyte, Genmab, Newlink Genetics, Medimmune, AstraZeneca, Syndax, Sun Pharma, Sanofi, Idera, Ultimovacs; Research funds from BMS, Roche-Genentech, Array; Travel support by MSD.</p><p id="Par43">A.G.: Consulting or Advisory Role for BMS, MSD, Novartis; Travel support by BMS, MSD, Merck Serono, Roche.</p><p id="Par44">HR, JR, JG, KM, SA, CO are or were full time employees of Biodesix and have/had stock options of the company.</p><p id="Par45">Other authors declare that they have no competing interests.</p></sec><sec id="FPar6"><title>Publisher’s Note</title><p id="Par46">Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Chapman</surname>
<given-names>PB</given-names>
</string-name>, <string-name name-style="western">
<surname>Einhorn</surname>
<given-names>LH</given-names>
</string-name>, <string-name name-style="western">
<surname>Meyers</surname>
<given-names>ML</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Phase III multicenter randomized trial of the Dartmouth regimen versus dacarbazine in patients with metastatic melanoma</article-title>. <source>J Clin Oncol</source>. <year>1999</year>;<volume>17</volume>:<fpage>2745</fpage>–<lpage>2751</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1200/JCO.1999.17.9.2745" xlink:type="simple">doi:10.1200/JCO.1999.17.9.2745</ext-link>
</mixed-citation></ref><ref id="CR2"><label>2.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Long</surname>
<given-names>GV</given-names>
</string-name>, <string-name name-style="western">
<surname>Weber</surname>
<given-names>JS</given-names>
</string-name>, <string-name name-style="western">
<surname>Infante</surname>
<given-names>JR</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Overall survival and durable responses in patients with BRAF V600–mutant metastatic melanoma receiving Dabrafenib combined with Trametinib</article-title>. <source>J Clin Oncol</source>. <year>2016</year>;<volume>34</volume>:<fpage>871</fpage>–<lpage>878</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1200/JCO.2015.62.9345" xlink:type="simple">doi:10.1200/JCO.2015.62.9345</ext-link>
</mixed-citation></ref><ref id="CR3"><label>3.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Dummer</surname>
<given-names>R</given-names>
</string-name>, <string-name name-style="western">
<surname>Ascierto</surname>
<given-names>PA</given-names>
</string-name>, <string-name name-style="western">
<surname>Gogas</surname>
<given-names>HJ</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Overall survival in patients with BRAF-mutant melanoma receiving encorafenib plus binimetinib versus vemurafenib or encorafenib (COLUMBUS): a multicentre, open-label, randomised, phase 3 trial</article-title>. <source>Lancet Oncol</source>. <year>2018</year>;<volume>19</volume>:<fpage>1315</fpage>–<lpage>1327</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/S1470-2045(18)30497-2" xlink:type="simple">doi:10.1016/S1470-2045(18)30497-2</ext-link>
</mixed-citation></ref><ref id="CR4"><label>4.</label><mixed-citation publication-type="other" xlink:type="simple">Hodi FS, Chiarion-Sileni V, Gonzalez R, et al. Nivolumab plus ipilimumab or nivolumab alone versus ipilimumab alone in advanced melanoma (CheckMate 067): 4-year outcomes of a multicentre, randomised, phase 3 trial. Lancet Oncol. 2018.</mixed-citation></ref><ref id="CR5"><label>5.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Schachter</surname>
<given-names>J</given-names>
</string-name>, <string-name name-style="western">
<surname>Ribas</surname>
<given-names>A</given-names>
</string-name>, <string-name name-style="western">
<surname>Long</surname>
<given-names>GV</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Pembrolizumab versus ipilimumab for advanced melanoma: final overall survival results of a multicentre, randomised, open-label phase 3 study (KEYNOTE-006)</article-title>. <source>Lancet</source>. <year>2017</year>;<volume>390</volume>:<fpage>1853</fpage>–<lpage>1862</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/S0140-6736(17)31601-X" xlink:type="simple">doi:10.1016/S0140-6736(17)31601-X</ext-link>
</mixed-citation></ref><ref id="CR6"><label>6.</label><mixed-citation publication-type="other" xlink:type="simple">Long GV, Schachter J, Ribas A, et al. 4-year survival and outcomes after cessation of pembrolizumab (pembro) after 2-years in patients (pts) with ipilimumab (ipi)-naive advanced melanoma in KEYNOTE-006. Journal of Clinical Ocology. 2018;36.</mixed-citation></ref><ref id="CR7"><label>7.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Hodi</surname>
<given-names>FS</given-names>
</string-name>, <string-name name-style="western">
<surname>O'Day</surname>
<given-names>SJ</given-names>
</string-name>, <string-name name-style="western">
<surname>McDermott</surname>
<given-names>DF</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Improved survival with ipilimumab in patients with metastatic melanoma</article-title>. <source>N Engl J Med</source>. <year>2010</year>;<volume>363</volume>:<fpage>711</fpage>–<lpage>723</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1056/NEJMoa1003466" xlink:type="simple">doi:10.1056/NEJMoa1003466</ext-link>
</mixed-citation></ref><ref id="CR8"><label>8.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Schadendorf</surname>
<given-names>D</given-names>
</string-name>, <string-name name-style="western">
<surname>Hodi</surname>
<given-names>FS</given-names>
</string-name>, <string-name name-style="western">
<surname>Robert</surname>
<given-names>C</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Pooled analysis of Long-term survival data from phase II and phase III trials of Ipilimumab in Unresectable or metastatic melanoma</article-title>. <source>J Clin Oncol</source>. <year>2015</year>;<volume>33</volume>:<fpage>1889</fpage>–<lpage>1894</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1200/JCO.2014.56.2736" xlink:type="simple">doi:10.1200/JCO.2014.56.2736</ext-link>
</mixed-citation></ref><ref id="CR9"><label>9.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Robert</surname>
<given-names>C</given-names>
</string-name>, <string-name name-style="western">
<surname>Long</surname>
<given-names>GV</given-names>
</string-name>, <string-name name-style="western">
<surname>Brady</surname>
<given-names>B</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Nivolumab in previously untreated melanoma without BRAF mutation</article-title>. <source>N Engl J Med</source>. <year>2015</year>;<volume>372</volume>:<fpage>320</fpage>–<lpage>330</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1056/NEJMoa1412082" xlink:type="simple">doi:10.1056/NEJMoa1412082</ext-link>
</mixed-citation></ref><ref id="CR10"><label>10.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Robert</surname>
<given-names>C</given-names>
</string-name>, <string-name name-style="western">
<surname>Schachter</surname>
<given-names>J</given-names>
</string-name>, <string-name name-style="western">
<surname>Long</surname>
<given-names>GV</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Pembrolizumab versus Ipilimumab in advanced melanoma</article-title>. <source>N Engl J Med</source>. <year>2015</year>;<volume>372</volume>:<fpage>2521</fpage>–<lpage>2532</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1056/NEJMoa1503093" xlink:type="simple">doi:10.1056/NEJMoa1503093</ext-link>
</mixed-citation></ref><ref id="CR11"><label>11.</label><mixed-citation publication-type="other" xlink:type="simple">Dummer R, Ascierto PA, Gogas H, et al. Overall survival in COLUMBUS: A phase 3 trial of encorafenib (ENCO) plus binimetinib (BINI) vs vemurafenib (VEM) or enco in BRAF-mutant melanoma. In: 2018 ASCO Annual Meeting. Chicago, IL: J Clin Oncol; 2018:abst 9504.</mixed-citation></ref><ref id="CR12"><label>12.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Ascierto</surname>
<given-names>PA</given-names>
</string-name>, <string-name name-style="western">
<surname>Ferrucci</surname>
<given-names>PF</given-names>
</string-name>, <string-name name-style="western">
<surname>Stephens</surname>
<given-names>R</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">KEYNOTE-022 part 3: phase II randomized study of 1L dabrafenib (D) and trametinib (T) plus pembrolizumab (Pembro) or placebo (PBO) for BRAF-mutant advanced melanoma</article-title>. <source>Ann Oncol</source>. <year>2018</year>;<volume>29</volume>:<fpage>mdy289-mdy</fpage>
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1093/annonc/mdx779" xlink:type="simple">doi:10.1093/annonc/mdx779</ext-link>
</mixed-citation></ref><ref id="CR13"><label>13.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Minor</surname>
<given-names>DR</given-names>
</string-name>, <string-name name-style="western">
<surname>Puzanov</surname>
<given-names>I</given-names>
</string-name>, <string-name name-style="western">
<surname>Callahan</surname>
<given-names>MK</given-names>
</string-name>, <string-name name-style="western">
<surname>Hug</surname>
<given-names>BA</given-names>
</string-name>, <string-name name-style="western">
<surname>Hoos</surname>
<given-names>A</given-names>
</string-name>
</person-group>. <article-title xml:lang="en">Severe gastrointestinal toxicity with administration of trametinib in combination with dabrafenib and ipilimumab</article-title>. <source>Pigment cell &amp; melanoma research</source>. <year>2015</year>;<volume>28</volume>:<fpage>611</fpage>–<lpage>612</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1111/pcmr.12383" xlink:type="simple">doi:10.1111/pcmr.12383</ext-link>
</mixed-citation></ref><ref id="CR14"><label>14.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Hugo</surname>
<given-names>W</given-names>
</string-name>, <string-name name-style="western">
<surname>Zaretsky</surname>
<given-names>JM</given-names>
</string-name>, <string-name name-style="western">
<surname>Sun</surname>
<given-names>L</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma</article-title>. <source>Cell</source>. <year>2016</year>;<volume>165</volume>:<fpage>35</fpage>–<lpage>44</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.cell.2016.02.065" xlink:type="simple">doi:10.1016/j.cell.2016.02.065</ext-link>
</mixed-citation></ref><ref id="CR15"><label>15.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Hu-Lieskovan</surname>
<given-names>S</given-names>
</string-name>, <string-name name-style="western">
<surname>Robert</surname>
<given-names>L</given-names>
</string-name>, <string-name name-style="western">
<surname>Homet Moreno</surname>
<given-names>B</given-names>
</string-name>, <string-name name-style="western">
<surname>Ribas</surname>
<given-names>A</given-names>
</string-name>
</person-group>. <article-title xml:lang="en">Combining targeted therapy with immunotherapy in BRAF-mutant melanoma: promise and challenges</article-title>. <source>J Clin Oncol</source>. <year>2014</year>;<volume>32</volume>:<fpage>2248</fpage>–<lpage>2254</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1200/JCO.2013.52.1377" xlink:type="simple">doi:10.1200/JCO.2013.52.1377</ext-link>
</mixed-citation></ref><ref id="CR16"><label>16.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Weber</surname>
<given-names>JS</given-names>
</string-name>, <string-name name-style="western">
<surname>Kudchadkar</surname>
<given-names>RR</given-names>
</string-name>, <string-name name-style="western">
<surname>Yu</surname>
<given-names>B</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Safety, efficacy, and biomarkers of nivolumab with vaccine in ipilimumab-refractory or -naive melanoma</article-title>. <source>J Clin Oncol</source>. <year>2013</year>;<volume>31</volume>:<fpage>4311</fpage>–<lpage>4318</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1200/JCO.2013.51.4802" xlink:type="simple">doi:10.1200/JCO.2013.51.4802</ext-link>
</mixed-citation></ref><ref id="CR17"><label>17.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Weber</surname>
<given-names>J</given-names>
</string-name>, <string-name name-style="western">
<surname>Martinez</surname>
<given-names>A</given-names>
</string-name>, <string-name name-style="western">
<surname>Roder</surname>
<given-names>H</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Pre-treatment patient selection for nivolumab benefit based on serum mass spectra</article-title>. <source>Journal for immunotherapy of cancer</source>. <year>2015</year>;<volume>3</volume>:<issue>Suppl 2</issue>
<fpage>P103</fpage>
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1186/2051-1426-3-S2-P103" xlink:type="simple">doi:10.1186/2051-1426-3-S2-P103</ext-link>
</mixed-citation></ref><ref id="CR18"><label>18.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Grossi</surname>
<given-names>F</given-names>
</string-name>, <string-name name-style="western">
<surname>Rijavec</surname>
<given-names>E</given-names>
</string-name>, <string-name name-style="western">
<surname>Biello</surname>
<given-names>F</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Evaluation of a pretreatment serum tests for nivolumab benefit in patients with non-small cell lung cancer</article-title>. <source>J Thorac Oncol</source>. <year>2017</year>;<volume>12</volume>:<fpage>S1322</fpage>
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jtho.2016.11.1870" xlink:type="simple">doi:10.1016/j.jtho.2016.11.1870</ext-link>
</mixed-citation></ref><ref id="CR19"><label>19.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Zahorec</surname>
<given-names>R</given-names>
</string-name>
</person-group>. <article-title xml:lang="en">Ratio of neutrophil to lymphocyte counts--rapid and simple parameter of systemic inflammation and stress in critically ill</article-title>. <source>Bratisl Lek Listy</source>. <year>2001</year>;<volume>102</volume>:<fpage>5</fpage>–<lpage>14</lpage>. </mixed-citation></ref><ref id="CR20"><label>20.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Capone</surname>
<given-names>M</given-names>
</string-name>, <string-name name-style="western">
<surname>Giannarelli</surname>
<given-names>D</given-names>
</string-name>, <string-name name-style="western">
<surname>Mallardo</surname>
<given-names>D</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab</article-title>. <source>J Immunother Cancer</source>. <year>2018</year>;<volume>6</volume>:<fpage>74</fpage>
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1186/s40425-018-0383-1" xlink:type="simple">doi:10.1186/s40425-018-0383-1</ext-link>
</mixed-citation></ref><ref id="CR21"><label>21.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Ferrucci</surname>
<given-names>PF</given-names>
</string-name>, <string-name name-style="western">
<surname>Ascierto</surname>
<given-names>PA</given-names>
</string-name>, <string-name name-style="western">
<surname>Pigozzo</surname>
<given-names>J</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Baseline neutrophils and derived neutrophil-to-lymphocyte ratio: prognostic relevance in metastatic melanoma patients receiving ipilimumab</article-title>. <source>Ann Oncol</source>. <year>2018</year>;<volume>29</volume>:<fpage>524</fpage>
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1093/annonc/mdx059" xlink:type="simple">doi:10.1093/annonc/mdx059</ext-link>
</mixed-citation></ref><ref id="CR22"><label>22.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Subramanian</surname>
<given-names>A</given-names>
</string-name>, <string-name name-style="western">
<surname>Tamayo</surname>
<given-names>P</given-names>
</string-name>, <string-name name-style="western">
<surname>Mootha</surname>
<given-names>VK</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles</article-title>. <source>Proc Natl Acad Sci U S A</source>. <year>2005</year>;<volume>102</volume>:<fpage>15545</fpage>–<lpage>15550</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1073/pnas.0506580102" xlink:type="simple">doi:10.1073/pnas.0506580102</ext-link>
</mixed-citation></ref><ref id="CR23"><label>23.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Markiewski</surname>
<given-names>MM</given-names>
</string-name>, <string-name name-style="western">
<surname>DeAngelis</surname>
<given-names>RA</given-names>
</string-name>, <string-name name-style="western">
<surname>Benencia</surname>
<given-names>F</given-names>
</string-name>, <etal>et al</etal>
</person-group>. <article-title xml:lang="en">Modulation of the antitumor immune response by complement</article-title>. <source>Nat Immunol</source>. <year>2008</year>;<volume>9</volume>:<fpage>1225</fpage>–<lpage>1235</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1038/ni.1655" xlink:type="simple">doi:10.1038/ni.1655</ext-link>
</mixed-citation></ref><ref id="CR24"><label>24.</label><mixed-citation publication-type="journal" xlink:type="simple">
<person-group person-group-type="author">
<string-name name-style="western">
<surname>Crusz</surname>
<given-names>SM</given-names>
</string-name>, <string-name name-style="western">
<surname>Balkwill</surname>
<given-names>FR</given-names>
</string-name>
</person-group>. <article-title xml:lang="en">Inflammation and cancer: advances and new agents</article-title>. <source>Nat Rev Clin Oncol</source>. <year>2015</year>;<volume>12</volume>:<fpage>584</fpage>–<lpage>596</lpage>. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1038/nrclinonc.2015.105" xlink:type="simple">doi:10.1038/nrclinonc.2015.105</ext-link>
</mixed-citation></ref></ref-list><app-group><app id="App1"><title>Additional files</title><p id="Par47">
<media position="anchor" xlink:href="40425_2019_569_MOESM1_ESM.docx" id="MOESM1" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM1</object-id><caption xml:lang="en"><p>Additional tables. (DOCX 21 kb)</p></caption></media>
<media position="anchor" xlink:href="40425_2019_569_MOESM2_ESM.xlsx" id="MOESM2" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM2</object-id><caption xml:lang="en"><p>Clinical information and outcomes. (XLSX 27 kb)</p></caption></media>
<media position="anchor" xlink:href="40425_2019_569_MOESM3_ESM.doc" id="MOESM3" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM3</object-id><caption xml:lang="en"><p>Supplementary material. (DOC 84 kb)</p></caption></media>
</p></app></app-group><glossary><def-list><def-list><def-item><term>CTLA-4</term><def><p id="Par4">Cytotoxic T-lymphocyte antigen-4</p></def></def-item><def-item><term>HR</term><def><p id="Par5">hazard ratio</p></def></def-item><def-item><term>LDH</term><def><p id="Par6">lactate dehydrogenase</p></def></def-item><def-item><term>MAPK</term><def><p id="Par8">mitogen-activated protein kinase</p></def></def-item><def-item><term>NLR</term><def><p id="Par9">neutrophil-to-lymphocyte ratio</p></def></def-item><def-item><term>OS</term><def><p id="Par10">overall survival</p></def></def-item><def-item><term>PD-1</term><def><p id="Par11">programmed cell death protein 1</p></def></def-item><def-item><term>PD-L1</term><def><p id="Par12">programmed cell death protein 1 ligand</p></def></def-item><def-item><term>PFS</term><def><p id="Par13">progression-free survival</p></def></def-item><def-item><term>ULN</term><def><p id="Par14">upper limit of normal</p></def></def-item></def-list></def-list></glossary></back></article>