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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">s40425-019-0514-3</article-id><article-id pub-id-type="manuscript">514</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0514-3</article-id><article-id pub-id-type="pmid">30704511</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/24.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>Immunotherapy Biomarkers</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Immunotherapy Biomarkers</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Immunotherapy Biomarkers</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title xml:lang="en">Clinicopathological and molecular features of responders to nivolumab for patients with advanced gastric cancer</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mishima</surname><given-names>Saori</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor1">a</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kawazoe</surname><given-names>Akihito</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>Nakamura</surname><given-names>Yoshiaki</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>Sasaki</surname><given-names>Akinori</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>Kotani</surname><given-names>Daisuke</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor5">e</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kuboki</surname><given-names>Yasutoshi</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor6">f</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bando</surname><given-names>Hideaki</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor7">g</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kojima</surname><given-names>Takashi</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor8">h</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Doi</surname><given-names>Toshihiko</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor9">i</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ohtsu</surname><given-names>Atsushi</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor10">j</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yoshino</surname><given-names>Takayuki</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor11">k</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kuwata</surname><given-names>Takeshi</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor12">l</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tsuji</surname><given-names>Akihito</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor13">m</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><name name-style="western"><surname>Shitara</surname><given-names>Kohei</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor14">n</xref></contrib><aff id="Aff1">
<label>Aff1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2168 5385</institution-id><institution-id institution-id-type="GRID">grid.272242.3</institution-id><institution content-type="org-division" xlink:type="simple">Department of Gastroenterology and Gastrointestinal Oncology</institution><institution content-type="org-name" xlink:type="simple">National Cancer Center Hospital East</institution></institution-wrap>
<addr-line content-type="street">6-5-1 Kashiwanoha</addr-line>
<addr-line content-type="postcode">277-8577</addr-line>
<addr-line content-type="city">Kashiwa</addr-line>
<country country="JP">Japan</country>
</aff><aff id="Aff2">
<label>Aff2</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0000 8662 309X</institution-id><institution-id institution-id-type="GRID">grid.258331.e</institution-id><institution content-type="org-name" xlink:type="simple">Graduated School of Medicine, Kagawa University</institution></institution-wrap>
<addr-line content-type="city">Takamatsu</addr-line>
<country country="JP">Japan</country>
</aff><aff id="Aff3">
<label>Aff3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2168 5385</institution-id><institution-id institution-id-type="GRID">grid.272242.3</institution-id><institution content-type="org-division" xlink:type="simple">Department of Pathology and Clinical Laboratories</institution><institution content-type="org-name" xlink:type="simple">National Cancer Center Hospital East</institution></institution-wrap>
<addr-line content-type="city">Kashiwa</addr-line>
<country country="JP">Japan</country>
</aff></contrib-group><author-notes><corresp id="cor1">
<label>a</label>
<email xlink:type="simple">smishima@east.ncc.go.jp</email>
</corresp><corresp id="cor2">
<label>b</label>
<email xlink:type="simple">akawazoe@east.ncc.go.jp</email>
</corresp><corresp id="cor3">
<label>c</label>
<email xlink:type="simple">yoshinak@east.ncc.go.jp</email>
</corresp><corresp id="cor4">
<label>d</label>
<email xlink:type="simple">akisasak@east.ncc.go.jp</email>
</corresp><corresp id="cor5">
<label>e</label>
<email xlink:type="simple">dkotani@east.ncc.go.jp</email>
</corresp><corresp id="cor6">
<label>f</label>
<email xlink:type="simple">ykuboki@east.ncc.go.jp</email>
</corresp><corresp id="cor7">
<label>g</label>
<email xlink:type="simple">hbando@aichi-cc.jp</email>
</corresp><corresp id="cor8">
<label>h</label>
<email xlink:type="simple">takojima@east.ncc.go.jp</email>
</corresp><corresp id="cor9">
<label>i</label>
<email xlink:type="simple">tdoi@east.ncc.go.jp</email>
</corresp><corresp id="cor10">
<label>j</label>
<email xlink:type="simple">aohtsu@east.ncc.go.jp</email>
</corresp><corresp id="cor11">
<label>k</label>
<email xlink:type="simple">tyoshino@east.ncc.go.jp</email>
</corresp><corresp id="cor12">
<label>l</label>
<email xlink:type="simple">tkuwata@east.ncc.go.jp</email>
</corresp><corresp id="cor13">
<label>m</label>
<email xlink:type="simple">atsuji@med.kagawa-u.ac.jp</email>
</corresp><corresp id="cor14">
<label>n</label>
<email xlink:type="simple">kshitara@east.ncc.go.jp</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="2019-01-31" pub-type="epub-original" publication-format="electronic"><day>31</day><month>1</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="2019-01-31T00:00:00-08:00" pub-type="epub"><day>31</day><month>1</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>24</elocation-id><history><date date-type="received" iso-8601-date="2018-10-16"><day>16</day><month>10</month><year>2018</year></date><date date-type="accepted" iso-8601-date="2019-01-20"><day>20</day><month>1</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_514_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><sec id="ASec1"><title>Background</title><p id="Par1">Clinicopathological and molecular features of responders to nivolumab for advanced gastric cancer (AGC) are not well understood.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">Patients (pts) with AGC who were treated with nivolumab after two or more chemotherapy regimens in a single institution from September 2017 to May 2018 were enrolled in this study. PD-L1 expression in tumor cells (TC) and mismatch repair (MMR) were analyzed by immunohistochemistry. Epstein-Barr virus (EBV) was detected by in situ hybridization. Cancer genome alterations were evaluated by a next-generation sequencing-based panel. High tumor mutation burden (TMB) was defined as more than 10 mutations/megabase.</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">A total of 80 pts were analyzed in this study. Tumor response was evaluated in 72 pts with measurable lesions and 14 pts (19%) had an objective response. Overall response rate (ORR) was significantly higher in pts with ECOGPS 0 in those with PS 1 or 2, MMR-deficient (MMR-D) in those with MMR-proficient (MMR-P), PD-L1+ in TC in those with PD-L1- in TC and <italic toggle="yes">PIK3CA</italic> mutation in those with <italic toggle="yes">PIK3CA</italic> wild-type. ORR was 31% in pts with at least one of the following factors; MMR-D, high TMB, EBV+ and PD-L1+ in TC vs. 0% in those without these factors. Progression-free survival was significantly longer in pts with PS 0 than in those with PS 1 or 2, MMR-D than in those with MMR-P, and PD-L1+ in TC than in those with PD-L1- in TC.</p></sec><sec id="ASec4"><title>Conclusions</title><p id="Par4">Some features were associated with favorable response to nivolumab for AGC. Combining these features might be useful to predict efficacy.</p></sec></abstract><kwd-group xml:lang="en"><kwd>Nivolumab</kwd><kwd>PD-1 inhibitor</kwd><kwd>Predictive factor</kwd><kwd>Gastric cancer</kwd><kwd>Responders</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>1</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>21</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_514.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><notes notes-type="AuthorContribution"><p>Saori Mishima and Akihito Kawazoe contributed equally to this work.</p></notes></front><body><sec id="Sec1"><title>Introduction</title><p id="Par38">Recently, blockade of immune checkpoint molecules with monoclonal antibodies has emerged as a promising strategy in several malignancies [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR6">6</xref>]. Programmed death 1 (PD-1), which belongs to the CD28 family of proteins, is a negative costimulatory receptor expressed on the surfaced of activated T cells [<xref ref-type="bibr" rid="CR7">7</xref>]. The binding of PD-1 and its ligands, PD-L1 and PD-L2 in tumor or immune cells, can inhibit a cytotoxic T-cell response, which leads tumor cells to escape from immune surveillance [<xref ref-type="bibr" rid="CR7">7</xref>]. Accordingly, blockade of this interaction restores the antitumor activity of T cells [<xref ref-type="bibr" rid="CR7">7</xref>]. Clinical trials of anti-PD-1/PD-L1 monoclonal antibodies have shown durable anti-tumor response and improved overall survival in several malignancies [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR6">6</xref>].</p><p id="Par39">A phase III ATTRACTION-2 trial of nivolumab, a fully human IgG4 monoclonal antibody (mAb) against PD-1, for patients (pts) with advanced gastric cancer (AGC) after two or more previous line chemotherapies showed a survival benefit, leading to the approval of nivolumab for AGC in Japan [<xref ref-type="bibr" rid="CR8">8</xref>]. Exploratory analysis of ATTRACTION-2 suggested a survival benefit of nivolumab regardless of PD-L1 expression on tumor cells, thus nivolumab have been used without any restriction by biomarkers [<xref ref-type="bibr" rid="CR8">8</xref>].</p><p id="Par40">Pembrolizumab, another PD-1 mAb, also demonstrated encouraging anti-tumor activity with acceptable safety for PD-L1 positive AGC in phase II and III trials [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>], where PD-L1 expression has been evaluated as combined positive score (CPS) counting both tumor cells and immune cells. A relationship between greater PD-L1 CPS and a greater treatment effect was suggested in phase II and III trials of pembrolizumab [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>]. ORR in pts with CPS ≥ 10, CPS ≥ 1, and CPS &lt; 1 (PD-L1-) were 25, 16, and 2%, respectively [<xref ref-type="bibr" rid="CR10">10</xref>]. Recently, the US Food and Drug Administration approved pembrolizumab for pts with microsatellite instability-high or mismatch repair (MMR) deficient solid tumors including AGC based on the durable response in several trials [<xref ref-type="bibr" rid="CR11">11</xref>–<xref ref-type="bibr" rid="CR13">13</xref>]. In addition to PD-L1 expression and MMR deficiency, a small study suggested that high tumor mutation burden (TMB) and EBV positive status were associated with response to pembrolizumab [<xref ref-type="bibr" rid="CR14">14</xref>]. However, predictive factors of nivolumab for AGC have not yet been evaluated. Also, overlapping of several clinicopathological and molecular features have not yet been discussed in detail.</p><p id="Par41">In order to establish the better selection of pts who may derive greater benefit from PD-1 blockade, we investigated clinicopathological and molecular features of responders to nivolumab for AGC.</p></sec><sec id="Sec2"><title>Patients and method</title><sec id="Sec3"><title>Patients</title><p id="Par42">A prospective study was performed to evaluate the efficacy of nivolumab in pts with AGC from September 2017 to May 2018 at the National Cancer Center Hospital East. The eligibility criteria were the presence of histologically proven adenocarcinoma; Eastern Cooperative Oncology Group performance status (ECOG PS) of 0–2; adequate bone marrow, hepatic, and renal function; history of previous treatment with two or more regimens and at least one treatment with nivolumab. All patients provided written, informed consent prior to participating in this observational study. The study protocol was approved by the Institutional Review Board at the National Cancer Center.</p></sec><sec id="Sec4"><title>Molecular characteristics</title><p id="Par43">Molecular characteristics, such as status of human epidermal growth factor receptor 2 (HER2), PD-L1, MMR, and EBV, and genomic alterations, were analyzed with formalin-fixed paraffin-embedded tissue specimens from archival tissue samples if available. Immunohistochemistry (IHC) using a monoclonal anti-HER2 antibody (PATHWAY HER2 [4B5], Ventana, Tucson, AZ) and fluorescence in situ hybridization (FISH) using the PathVysion HER-2 probe kit (Abbott Laboratories, Abbott Park, IL) were performed to assess HER2 status, and HER2 positive was defined as IHC 3 + or IHC 2+ and FISH positive. PD-L1 IHC was performed using an anti-PD-L1 rabbit monoclonal antibody (Clone SP142 or SP263, Ventana), and PD-L1 positive in tumor cells (TC) or immune cells (IC) was defined as the presence of ≥1% of TC or IC with membrane staining. CPS, which was the number of PD-L1 staining cells (TC, lymphocytes, and macrophages) divided by the total number of viable TC multiplied by 100, was also assessed. MMR status was assessed by IHC using monoclonal antibodies for anti-mutL homolog 1 (MLH1, ES05), anti-mutS homolog 2 (MSH2, FE11), anti-postmeiotic segregation increased 2 (PMS2, EP51), and anti-mutS homolog 6 (MSH6, EP49) (Agilent Technologies, Santa Clara, CA), and tumors lacking either MLH1, MSH2, PMS2, or MSH6 expression were considered MMR-deficient (MMR-D), whereas tumors that maintained expression of MLH1, MSH2, PMS2, and MSH6 were considered MMR proficient (MMR-P). Chromogenic in situ hybridization for EBV-encoded RNA (EBER) using fluorescein-labeled oligonucleotide probes (INFORM EBER Probe, Ventana) was performed to assess EBV status [<xref ref-type="bibr" rid="CR15">15</xref>]. All the specimens were reviewed by TK for this study. Genomic alterations were assessed using Oncomine™ Comprehensive Assay version 3 or Oncomine™ Cancer Research Panel (Thermo Fisher Scientific, Waltham, MA), which allows to detect gene mutations, copy number variants and fusions across multiple genes (Additional file <xref rid="MOESM1" ref-type="supplementary-material">1</xref>: Table S1). TMB was defined as the number of non-synonymous mutations, including indel, per megabase (mt/Mb) of genome examined in tumor tissue. Known germline variants in dbSNP and East Asian population of 1000 Genomes or ExAC database were not counted. High TMB was defined as more than 10 mutations per megabase.</p></sec><sec id="Sec5"><title>Outcomes and statistical analysis</title><p id="Par44">We assessed ORR, disease control rate (DCR), and progression-free survival (PFS). Tumor response was assessed in pts with measurable lesions according to the guidelines of the Response Evaluation Criteria in Solid Tumors version 1.1. ORR was defined as the proportion of pts with the best overall response of complete response (CR) or partial response (PR). DCR was defined as the proportion of pts with the best overall response of CR, PR, or stable disease (SD). Responder was defined as pts who achieved CR or PR, while non-responder was defined as those who showed SD or progression disease (PD). PFS was defined from the date of initiation of nivolumab to the date of disease progression or death from any cause.</p><p id="Par45">Statistical comparisons of ORR according to baseline characteristics was performed using Chi-square test or Fisher’s exact test. PFS was estimated by the Kaplan–Meier method and compared according to baseline characteristics using Cox proportional hazards models and presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Multivariate analysis for PFS was conducted using clinical factors which were associated with significant impact on PFS as well as potential predictive biomarkers reported in previous studies. Statistical analyses were performed using SPSS® Statistics software V21 (IBM, Armonk, NY, US). All tests were two-sided; <italic toggle="yes">p</italic> &lt; 0.05 was considered to indicate statistical significance.</p></sec></sec><sec id="Sec6" sec-type="results"><title>Results</title><sec id="Sec7"><title>Patient characteristics</title><p id="Par46">A total of 80 pts were analyzed in this study. Baseline patient characteristics were shown in Additional file <xref rid="MOESM2" ref-type="supplementary-material">2</xref>: Table S2. The median age was 67 (range, 25–86) years, and 61 pts (76%) were male. Forty-seven pts (59%) had an ECOG PS of 0, whereas the remaining 33 pts (41%) had a PS of 1 or 2 at the initiation of nivolumab treatment. Forty-nine pts (61%) had been treated with three or more lines of previous chemotherapies before nivolumab treatment. The most common metastatic site was the lymph node (75%), followed by the peritoneum and liver. Sixteen pts (20%) showed HER2-positive tumors. Eight pts (10%) were found to have MMR-D status, and 4 (5%) pts showed EBV-positive tumors.</p></sec><sec id="Sec8"><title>Clinicopathological and molecular features of responders to nivolumab</title><p id="Par47">Of 80 pts with AGC, tumor response was evaluated in 72 pts with measurable lesions. Best responses were CR, PR, SD, and PD in 0 (0%), 14 (19%), 20 (28%), and 38 (53%), respectively, resulting in ORR of 19% and DCR of 47%.</p><p id="Par48">ORR was significantly higher in pts with PS of 0 than in those with PS of 1 or 2 (30% vs. 3%, <italic toggle="yes">p</italic> &lt; 0.01) (Table <xref rid="Tab1" ref-type="table">1</xref>). There were no other clinical factors significantly associated with responders. ORR tended to be higher in pts with lymph node metastasis than in those without (24% vs. 0%, <italic toggle="yes">p</italic> = 0.05), although the differences were not statistically significant.<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Clinical features of responders to nivolumab</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">n = 72</th><th rowspan="1" colspan="1"/><th rowspan="1" colspan="1">All</th><th rowspan="1" colspan="1">Responder</th><th rowspan="1" colspan="1">Non-responder</th><th rowspan="1" colspan="1">ORR</th><th rowspan="1" colspan="1">P-value</th></tr></thead><tbody><tr><td rowspan="2" colspan="1">Age</td><td rowspan="1" colspan="1">&lt; 65</td><td rowspan="1" colspan="1">26 (36%)</td><td rowspan="1" colspan="1">8</td><td rowspan="1" colspan="1">18</td><td rowspan="1" colspan="1">31%</td><td rowspan="1" colspan="1">0.07</td></tr><tr><td rowspan="1" colspan="1">≥65</td><td rowspan="1" colspan="1">46 (64%)</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">40</td><td rowspan="1" colspan="1">13%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">Gender</td><td rowspan="1" colspan="1">Male</td><td rowspan="1" colspan="1">56 (78%)</td><td rowspan="1" colspan="1">11</td><td rowspan="1" colspan="1">45</td><td rowspan="1" colspan="1">20%</td><td rowspan="1" colspan="1">0.94</td></tr><tr><td rowspan="1" colspan="1">Female</td><td rowspan="1" colspan="1">16 (22%)</td><td rowspan="1" colspan="1">3</td><td rowspan="1" colspan="1">13</td><td rowspan="1" colspan="1">19%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">ECOG PS</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">43 (60%)</td><td rowspan="1" colspan="1">13</td><td rowspan="1" colspan="1">30</td><td rowspan="1" colspan="1">30%</td><td rowspan="1" colspan="1">&lt; 0.01</td></tr><tr><td rowspan="1" colspan="1">≥1</td><td rowspan="1" colspan="1">29 (40%)</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">28</td><td rowspan="1" colspan="1">3%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">Histology</td><td rowspan="1" colspan="1">Intestinal</td><td rowspan="1" colspan="1">31 (43%)</td><td rowspan="1" colspan="1">5</td><td rowspan="1" colspan="1">26</td><td rowspan="1" colspan="1">16%</td><td rowspan="1" colspan="1">0.54</td></tr><tr><td rowspan="1" colspan="1">Diffuse</td><td rowspan="1" colspan="1">41 (57%)</td><td rowspan="1" colspan="1">9</td><td rowspan="1" colspan="1">32</td><td rowspan="1" colspan="1">22%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">Borrmann classification</td><td rowspan="1" colspan="1">Type4</td><td rowspan="1" colspan="1">7 (10%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">7</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.17</td></tr><tr><td rowspan="1" colspan="1">Others</td><td rowspan="1" colspan="1">65 (90%)</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">51</td><td rowspan="1" colspan="1">22%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="2" colspan="1">Number of previous chemotherapy</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">29 (40%)</td><td rowspan="1" colspan="1">8</td><td rowspan="1" colspan="1">21</td><td rowspan="1" colspan="1">28%</td><td rowspan="1" colspan="1">0.15</td></tr><tr><td rowspan="1" colspan="1">≥3</td><td rowspan="1" colspan="1">43 (60%)</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">37</td><td rowspan="1" colspan="1">14%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="4" colspan="1">Site of metastasis</td><td rowspan="1" colspan="1">Lymph node</td><td rowspan="1" colspan="1">59 (82%)</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">45</td><td rowspan="1" colspan="1">24%</td><td rowspan="1" colspan="1">0.05</td></tr><tr><td rowspan="1" colspan="1">Peritoneum</td><td rowspan="1" colspan="1">35 (49%)</td><td rowspan="1" colspan="1">5</td><td rowspan="1" colspan="1">30</td><td rowspan="1" colspan="1">14%</td><td rowspan="1" colspan="1">0.28</td></tr><tr><td rowspan="1" colspan="1">Liver</td><td rowspan="1" colspan="1">32 (44%)</td><td rowspan="1" colspan="1">4</td><td rowspan="1" colspan="1">28</td><td rowspan="1" colspan="1">13%</td><td rowspan="1" colspan="1">0.18</td></tr><tr><td rowspan="1" colspan="1">Lung</td><td rowspan="1" colspan="1">10 (14%)</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">9</td><td rowspan="1" colspan="1">10%</td><td rowspan="1" colspan="1">0.42</td></tr><tr><td rowspan="2" colspan="1">Number of metastatic sites</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">21 (29%)</td><td rowspan="1" colspan="1">4</td><td rowspan="1" colspan="1">17</td><td rowspan="1" colspan="1">19%</td><td rowspan="1" colspan="1">0.96</td></tr><tr><td rowspan="1" colspan="1">≥2</td><td rowspan="1" colspan="1">51 (71%)</td><td rowspan="1" colspan="1">10</td><td rowspan="1" colspan="1">41</td><td rowspan="1" colspan="1">20%</td><td rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">ECOG PS</italic> Eastern Cooperative Oncology Group performance status, <italic toggle="yes">ORR</italic> objective response rate</p></table-wrap-foot></table-wrap>
</p><p id="Par49">ORR was significantly higher in pts with MMR-D than in those with MMR-P (75% vs. 13%, <italic toggle="yes">p</italic> &lt; 0.01), PD-L1+ in TC than in those with PD-L1- in TC (57% vs. 13%, <italic toggle="yes">p</italic> &lt; 0.01), and <italic toggle="yes">PIK3CA</italic> mutation in those with <italic toggle="yes">PIK3CA</italic> wild-type (44% vs. 14%, <italic toggle="yes">p</italic> = 0.03) (Table <xref rid="Tab2" ref-type="table">2</xref>). There were no other molecular factors significantly associated with responders. Additional file <xref rid="MOESM3" ref-type="supplementary-material">3</xref>: Figure S1 also showed no significant relationship between TMB and response to nivolumab. ORR in pts with CPS ≥ 10, CPS ≥ 1, CPS &lt; 1 (PD-L1-), EBV+ and high TMB were 35, 26, 0, 25, and 22%, respectively. After excluding 8 pts with MMR-D from the analysis, PS of 0 and PD-L1+ in TC were factors significantly associated with responders in 60 pts with MMR-P (Additional file <xref rid="MOESM4" ref-type="supplementary-material">4</xref>: Table S3 and Additional file <xref rid="MOESM5" ref-type="supplementary-material">5</xref>: Table S4).<table-wrap id="Tab2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab2</object-id><caption xml:lang="en"><p>Molecular features of responders to nivolumab</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1"/><th rowspan="1" colspan="1">Assessed</th><th rowspan="1" colspan="1">Detected</th><th rowspan="1" colspan="1">Responder</th><th rowspan="1" colspan="1">Non-responder</th><th rowspan="1" colspan="1">ORR</th><th rowspan="1" colspan="1">P-value</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">HER2+</td><td rowspan="1" colspan="1">71</td><td rowspan="1" colspan="1">16 (23%)</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">15</td><td rowspan="1" colspan="1">6%</td><td rowspan="1" colspan="1">0.12</td></tr><tr><td rowspan="1" colspan="1">PD-L1+ in tumor cell</td><td rowspan="1" colspan="1">60</td><td rowspan="1" colspan="1">14 (23%)</td><td rowspan="1" colspan="1">8</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">57%</td><td rowspan="1" colspan="1">&lt; 0.01</td></tr><tr><td rowspan="1" colspan="1">CPS≥10</td><td rowspan="1" colspan="1">60</td><td rowspan="1" colspan="1">17 (28%)</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">11</td><td rowspan="1" colspan="1">35%</td><td rowspan="1" colspan="1">0.17</td></tr><tr><td rowspan="1" colspan="1">CPS≥1</td><td rowspan="1" colspan="1">60</td><td rowspan="1" colspan="1">54 (90%)</td><td rowspan="1" colspan="1">14</td><td rowspan="1" colspan="1">40</td><td rowspan="1" colspan="1">26%</td><td rowspan="1" colspan="1">0.15</td></tr><tr><td rowspan="1" colspan="1">EBV+</td><td rowspan="1" colspan="1">68</td><td rowspan="1" colspan="1">4 (6%)</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">3</td><td rowspan="1" colspan="1">25%</td><td rowspan="1" colspan="1">0.82</td></tr><tr><td rowspan="1" colspan="1">MMR-D</td><td rowspan="1" colspan="1">68</td><td rowspan="1" colspan="1">8 (12%)</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">75%</td><td rowspan="1" colspan="1">&lt; 0.01</td></tr><tr><td rowspan="1" colspan="1">TMB≥10</td><td rowspan="1" colspan="1">54</td><td rowspan="1" colspan="1">32 (59%)</td><td rowspan="1" colspan="1">7</td><td rowspan="1" colspan="1">25</td><td rowspan="1" colspan="1">22%</td><td rowspan="1" colspan="1">0.44</td></tr><tr><td rowspan="1" colspan="1">ARID1A mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">5 (10%)</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">4</td><td rowspan="1" colspan="1">25%</td><td rowspan="1" colspan="1">0.96</td></tr><tr><td rowspan="1" colspan="1">ERBB2 mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">2 (4%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.48</td></tr><tr><td rowspan="1" colspan="1">KRAS mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">4 (8%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">4</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.31</td></tr><tr><td rowspan="1" colspan="1">MET mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">2 (4%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.48</td></tr><tr><td rowspan="1" colspan="1">PIK3CA mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">9 (17%)</td><td rowspan="1" colspan="1">4</td><td rowspan="1" colspan="1">5</td><td rowspan="1" colspan="1">44%</td><td rowspan="1" colspan="1">0.03</td></tr><tr><td rowspan="1" colspan="1">TP53 mutation</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">28 (54%)</td><td rowspan="1" colspan="1">6</td><td rowspan="1" colspan="1">22</td><td rowspan="1" colspan="1">21%</td><td rowspan="1" colspan="1">0.66</td></tr><tr><td rowspan="1" colspan="1">CCNE1 amplification</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">7 (13%)</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">5</td><td rowspan="1" colspan="1">29%</td><td rowspan="1" colspan="1">0.50</td></tr><tr><td rowspan="1" colspan="1">ERBB2 amplification</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">9 (17%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">9</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.11</td></tr><tr><td rowspan="1" colspan="1">FGFR amplification</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">3 (6%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">3</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.38</td></tr><tr><td rowspan="1" colspan="1">MDM2 amplification</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">2 (4%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">2</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.48</td></tr><tr><td rowspan="1" colspan="1">MYC amplification</td><td rowspan="1" colspan="1">52</td><td rowspan="1" colspan="1">3 (6%)</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">3</td><td rowspan="1" colspan="1">0%</td><td rowspan="1" colspan="1">0.38</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">CPS</italic> combined positive score, <italic toggle="yes">EBV</italic> Epstein-Barr virus, <italic toggle="yes">MMR-D</italic> mismatch repair deficient, <italic toggle="yes">ORR</italic> objective response rate, <italic toggle="yes">PD-L1</italic> programmed cell death-1 ligand-1, <italic toggle="yes">TMB</italic> tumor mutation burden</p></table-wrap-foot></table-wrap>
</p><p id="Par50">Table <xref rid="Tab3" ref-type="table">3</xref> showed characteristics of pts with response to nivolumab. Among the 14 responders, 6 were MMR-D and other 8 were MMR-P. TMB was assessed in 4 MMR-D pts., and 3 of them were with high TMB (range 11.5 to 58.0). Four MMR-P responders were also associated with high TMB (range 10.1 and 15.3). One MMR-P responder was EBV+ with TMB of 7.7 and the remaining 3 MMR-P responders were PD-L1+ in TC. Among MMR-D or EBV+ pts., no EBV+ pts showed PD-L1+ in TC or CPS ≥ 10. Two patients with MMR-D without tumor response had PS of 1 or PS of 2 as well as <italic toggle="yes">PIK3CA</italic> mutations (Additional file <xref rid="MOESM6" ref-type="supplementary-material">6</xref>: Table S5).<table-wrap id="Tab3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab3</object-id><caption xml:lang="en"><p>Characteristics of patients with response to nivolumab</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" colspan="1">Age</th><th rowspan="2" colspan="1">PS</th><th colspan="3" rowspan="1">Genomic alteration</th><th rowspan="2" colspan="1">PD-L1+ in TC</th><th rowspan="2" colspan="1">CPS≥10</th><th rowspan="2" colspan="1">CPS≥1</th><th rowspan="2" colspan="1">EBV</th><th rowspan="2" colspan="1">MMR</th></tr><tr><th rowspan="1" colspan="1">Mutation</th><th rowspan="1" colspan="1">Amplification</th><th rowspan="1" colspan="1">TMB/Mb</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">63</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">63</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">66</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">PIK3CA, TP53</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">38.3</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">62</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">PIK3CA</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">11.5</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">53</td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">7.7</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">79</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">MET, PIK3CA, TP53</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">58.0</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-D</td></tr><tr><td rowspan="1" colspan="1">64</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">PIK3CA</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">15.3</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">74</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">ARID1A, TP53</td><td rowspan="1" colspan="1">CCNE1</td><td rowspan="1" colspan="1">15.1</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">80</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">TP53</td><td rowspan="1" colspan="1">CCNE1</td><td rowspan="1" colspan="1">11.5</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">76</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">10.1</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">73</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">TP53</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">5.0</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">65</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">53</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">NE</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">MMR-P</td></tr><tr><td rowspan="1" colspan="1">43</td><td rowspan="1" colspan="1">0</td><td rowspan="1" colspan="1">TP53</td><td rowspan="1" colspan="1">None</td><td rowspan="1" colspan="1">7.7</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">–</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">+</td><td rowspan="1" colspan="1">MMR-P</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">CPS</italic> combined positive score, <italic toggle="yes">EBV</italic> Epstein-Barr virus, <italic toggle="yes">MMR</italic> mismatch repair, <italic toggle="yes">MMR-D</italic> mismatch repair deficient, <italic toggle="yes">MMR-P</italic> mismatch repair proficient, <italic toggle="yes">NE</italic> not examined, <italic toggle="yes">ORR</italic> objective response rate, <italic toggle="yes">PD-L1</italic> programmed cell death-1 ligand-1, <italic toggle="yes">PS</italic> Eastern Cooperative Oncology Group performance status, <italic toggle="yes">TMB</italic> tumor mutation burden</p></table-wrap-foot></table-wrap>
</p><p id="Par51">Importantly, ORR was 31% in pts with at least one of the following factors; MMR-D, high-TMB, EBV+, and PD-L1+ in TC vs. 0% in those without these factors.</p><sec id="Sec9"><title>Progression free survival analysis</title><p id="Par52">In 80 pts with AGC, the median PFS of nivolumab was 1.9 (95% CI, 1.5–2.4) months with median follow-up period of 3.8 months (range, 0.3–8.0 months) (Fig. <xref rid="Fig1" ref-type="fig">1</xref>a). Subgroup analysis of PFS was shown in Additional file <xref rid="MOESM7" ref-type="supplementary-material">7</xref>: Table S6. PFS was significantly longer in pts with PS of 0 than in those with PS of 1 or 2 (median 3.0 months vs. 1.1 months, HR 0.30; 95% CI 0.18–0.52, <italic toggle="yes">p</italic> &lt; 0.01) (Fig. <xref rid="Fig1" ref-type="fig">1</xref>b), MMR-D than MMR-P (median not reached vs. 1.8 months, HR 0.21; 95% CI 0.06–0.70, <italic toggle="yes">p</italic> &lt; 0.01) (Fig. <xref rid="Fig1" ref-type="fig">1</xref>c), and PD-L1+ in TC than PD-L1- in TC (median not reached vs. 1.9 months, HR 0.42; 95% CI 0.19–0.96, <italic toggle="yes">p</italic> = 0.03) (Fig. <xref rid="Fig1" ref-type="fig">1</xref>d). In univariate analysis for PFS, PS was only clinical factor associate with PFS. Furthermore, after adjusted by PS, the HR for PFS of pts with MMR-D compared to those with MMR-P and pts with PD-L1+ in TC compared to those with PD-L1- in TC was 0.2 (95% CI 0.1–0.6; <italic toggle="yes">p</italic> &lt; 0.01) and 0.4 (95% CI 0.2–0.9; p = 0.03), respectively (Additional file <xref rid="MOESM7" ref-type="fig">7</xref>: Table S6). Pts with other molecular features associated with response to nivolumab in this study did not show significantly longer PFS.<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>Progression free survival. <bold>a</bold> Progression free survival. <bold>b</bold> Progression free survival by PS. <bold>c</bold> Progression free survival by MMR status. <bold>d</bold> Progression free survival by PD-L1 positivity in tumor cell. MMR, mismatch repair; MMR-D, mismatch repair deficient; MMR-P, mismatch repair proficient; PD-L1, programmed cell death-1 ligand-1; PS, Eastern Cooperative Oncology Group performance status; Pts, patient</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_514_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec></sec></sec><sec id="Sec10" sec-type="discussion"><title>Discussion</title><p id="Par53">In this study, we investigated the characteristics of responders to nivolumab for pts with AGC. To our knowledge, this is the first report to provide detailed information on clinicopathological and molecular features associated with response to nivolumab for AGC.</p><p id="Par54">The results of subgroup analysis of phase II and III trials of pembrolizumab showed that better PS was associated with a higher response rate and longer overall survival [<xref ref-type="bibr" rid="CR10">10</xref>, <xref ref-type="bibr" rid="CR11">11</xref>]. Consistent with these results, pts with PS of 0 had better ORR and PFS compared to those with PS of 1 or 2 in our study. Furthermore, after excluding pts with MMR-D from the analysis, PS of 0 was an only clinical factor significantly associated with responders in pts with MMR-P, suggesting that it is important to assess general condition before the initiation of PD-1 blockade for the prediction of efficacy. Although the exact explanations for the correlation between PS and clinical outcomes of PD-1 blockade were not established, pts with poor PS may not stay on treatment long enough to achieve a response.</p><p id="Par55">In our analysis, PD-L1 expression in TC was significantly associated with responders to nivolumab for AGC, which was contrary to that of subgroup analysis from ATTRACTION-2 [<xref ref-type="bibr" rid="CR8">8</xref>]. Furthermore, after excluding pts with MMR-D, impact of PD-L1 in TC was still statistically significant. Different anti-PD-L1 antibodies (SP142 or SP263) in our study from those (28–8 or 22C3) in these previous studies of nivolumab or pembrolizumab [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>, <xref ref-type="bibr" rid="CR14">14</xref>] might affect the predictive value of PD-L1 expression. Also, ORR and PFS tended to be better in pts with CPS ≥ 10 overlapping substantially with PD-L1+ in TC in our analysis; 5 of 14 responders had both CPS ≥ 10 and PD-L1+ in TC. Impact of CPS on the efficacy of PD-1 blockade will also be evaluated in the ongoing phase III KEYNOTE­062 trial (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02494583" xlink:type="simple">NCT02494583</ext-link>), which compared the efficacy of cytotoxic agents combined to pembrolizumab with that of cytotoxic agents and that of pembrolizumab monotherapy in pts with untreated AGC.</p><p id="Par56">ORR was significantly higher in AGC pts with <italic toggle="yes">PIK3CA</italic> mutation in our study, which was consistent with a recent study analyzing genomic correlates of response to immune checkpoint blockade in microsatellite-stable solid tumors [<xref ref-type="bibr" rid="CR16">16</xref>]. It is also suggested that <italic toggle="yes">PIK3CA</italic> mutation have been linked with APOBEC signatures which is highly proficient at generating DNA breaks whose repair can trigger the formation of single-strand hypermutation substrates [<xref ref-type="bibr" rid="CR17">17</xref>]. Moreover, in gastric cancer, it has been well known that APOBEC-mutation signature and <italic toggle="yes">PIK3CA</italic> mutation were frequently observed in EBV+ pts [<xref ref-type="bibr" rid="CR18">18</xref>]. Meanwhile, it is reported that <italic toggle="yes">PIK3CA</italic> mutation is strongly associated with the MSI molecular subgroup [<xref ref-type="bibr" rid="CR19">19</xref>]. Among 4 responders with <italic toggle="yes">PIK3CA</italic> mutation in our study, 3 were MMR-D, and only additional one patient with MMR-P, no EBV+, and PD-L1 in TC with CPS ≥ 10 had mutation in <italic toggle="yes">PIK3CA</italic> lie in E542K, which has been reported to be associated with APOBEC signature. Thus, the predictive value of <italic toggle="yes">PIK3CA</italic> mutation alone in AGC needs further investigations. Most recently, extremely high ORR (100%) of pembrolizumab was reported in 6 pts with EBV+ AGC [<xref ref-type="bibr" rid="CR14">14</xref>], which was inconsistent with our result showing that 1 of 4 pts with EBV+ (25%) achieved an objective response. Notably, no EBV pts in our study showed CPS ≥ 10, which was different from previous study [<xref ref-type="bibr" rid="CR14">14</xref>]. Our pervious study showed not all EBV+ tumors showed high PD-L1 expression [<xref ref-type="bibr" rid="CR15">15</xref>], thus both EBV status and PD-L1 expression should be evaluated in a larger cohort.</p><p id="Par57">High TMB was not associated with response to nivolumab in our study, though it was notable that 4 of 8 responder pts with MMR-P had high TMB. It has been reported that the estimated TMB based on panel sequencing showed relatively high discordance compared with TMB calculated from whole exome sequencing in tumors with relatively low number of mutations [<xref ref-type="bibr" rid="CR20">20</xref>], which might lead to the results in this study which did not show good correlation between anti-tumor response and TMB. Recently, Kim ST et al. reported that high TMB was a potential biomarker of pembrolizumab for AGC [<xref ref-type="bibr" rid="CR14">14</xref>]. However, most pts with high TMB had MMR-D status, and not all pts with high TMB achieved an objective response [<xref ref-type="bibr" rid="CR14">14</xref>]. Thus, precise mechanism regarding the influence of TMB to the efficacy of PD-1/PD-L1 blockade should be investigated in the near future.</p><p id="Par58">Interestingly, ORR was 31% in pts with at least one of the following factors; MMR-D, high-TMB, EBV+, and PD-L1+ in TC vs. 0% in those without these factors, suggesting that pre-screening of these biomarkers might be useful to predict clinical benefit of anti-PD-1/PD-L1 blockade in AGC.</p><p id="Par59">It is important to note the limitations of the present study. First, this was a single-institution study with a limited sample size. Second, we did not analyze PD-L1 expression, MMR, EBV status, and cancer genome alterations in all the pts enrolled in this study, which warrants further evaluations in a larger cohort.</p><p id="Par60">In conclusion, we identified some clinicopathological and molecular characteristics associated with responders to nivolumab for pts with AGC. Combining these features might be useful for the better selection of pts who may derive greater benefit from PD-1 blockade. However, further investigations in larger cohorts are needed to confirm precise biomarkers of PD-1/PD-L1 blockade for AGC.</p></sec></body><back><ack><p>None declared</p></ack><fn-group><fn fn-type="other"><label>Funding</label><p id="Par61">This study was supported by a research funding from National Cancer Center Hospital East (none apply).</p></fn><fn fn-type="other"><label>Availability of data and materials</label><p id="Par62">All data analyzed during this study has been included within the article.</p></fn><fn fn-type="other"><label>Electronic supplementary material</label><p>The online version of this article (10.1186/s40425-019-0514-3) contains supplementary material, which is available to authorized users.</p></fn></fn-group><notes notes-type="author-contribution"><title>Author’s contributions</title><p>SM, AK, YN, SA and KS designed the study, collected data, performed data analysis and wrote manuscript. DK, YK, HB, TK, TD, AO, and AT were involved in data interpretation and critically reviewing the manuscript. TK was involved in testing tumor tissue as well as critically reviewing the manuscript. All authors read and approved the final manuscript.</p></notes><notes notes-type="ethics"><sec id="FPar3"><title>Ethics approval and consent to participate</title><p id="Par63">All procedures followed in this study were in accordance with the Declaration of Helsinki of 1964 and later versions and the Japanese Ethical Guidelines for Medical and Health Research Involving Human Subjects. Informed consent for it was obtained from all patients for their being included in the study.</p></sec><sec id="FPar4"><title>Consent for publication</title><p id="Par64">This is not applicable for this study.</p></sec><sec id="FPar5"><title>Competing interests</title><p id="Par65">SM has nothing to disclose.</p><p id="Par66">AK reports research funding from Ono, Sumitomo Dainippon, and Taiho.</p><p id="Par67">AS has nothing to disclose.</p><p id="Par68">YN reports personal fees from Chugai.</p><p id="Par69">DK has nothing to disclose.</p><p id="Par70">YK reports consulting or advisory role for Takeda; personal fees from Bayer, Lilly, and Taiho; and research funding from Astra Zeneca, Daiichi Sankyo, Incyte, Taiho, and Takeda.</p><p id="Par71">HB reports research funding from Astra Zeneca and Sysmex.</p><p id="Par72">TK reports personal fees from MSD; and research funding from Astellas, Bristol-Myers Squibb, MSD, Oncolys BioPharma, Ono, Shionogi.</p><p id="Par73">TD reports consulting or advisory role for Amgen, Chugai, Daiichi Sankyo, Kyowa Hakko Kirin, Lilly, MSD, Sumitomo Dainippon, and Taiho; and research funding from Abbvie, Astellas, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Chugai, Daiichi Sankyo, Janssen, Kyowa Hakko Kirin, Lilly, Merck Serono, MSD, Novartis, Pfizer, Quintiles, Sumitomo Group, Takeda, and Taiho.</p><p id="Par74">AO reports personal fees from Bristol-Myers Squibb, Chugai, Ono, and Taiho.</p><p id="Par75">TY consulting or advisory role for Chugai, Lilly, Merck Serono, and Sanofi; and research funding from Chugai, GlaxoSmithKline, MSD, Nippon Boehringer Ingelheim, Sanofi, and Sumitomo Dainippon.</p><p id="Par76">TK consulting or advisory role for ThermoFisher Inc.; personal fees from Chugai and Roche Diagnostics; and research funding from Daiichi-Sankyo.</p><p id="Par77">AT reports personal fees from Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Merck Serono, Taiho, and Takeda.</p><p id="Par78">KS reports consulting or advisory role for Astellas, Bristol-Myers Squibb, Lilly, Ono, Pfizer, and Takeda; personal fees from AbbVie, Novartis, and Yakult; and research funding from Chugai, Daiichi Sankyo, Lilly, MSD, Ono, Sumitomo Dainippon, and Taiho.</p></sec><sec id="FPar6"><title>Publisher’s Note</title><p id="Par79">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">
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</mixed-citation></ref></ref-list><app-group><app id="App1"><title>Additional files</title><p id="Par80">
<supplementary-material content-type="local-data" id="MOESM1" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM1</object-id><media xlink:href="40425_2019_514_MOESM1_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S1. Gene list of the Oncomine™ Comprehensive Assay version 3. (DOCX 15 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM2" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM2</object-id><media xlink:href="40425_2019_514_MOESM2_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S2. Patient characteristics. (DOCX 17 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM3" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM3</object-id><media xlink:href="40425_2019_514_MOESM3_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Figure S1. Response to nivolumab by tumor mutation burden. (DOCX 22 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM4" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM4</object-id><media xlink:href="40425_2019_514_MOESM4_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S3. Clinicopathological features of responders to nivolumab in patients with MMR-P. (DOCX 16 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM5" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM5</object-id><media xlink:href="40425_2019_514_MOESM5_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S4. Molecular features of responders to nivolumab in patients with MMR-P. (DOCX 16 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM6" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM6</object-id><media xlink:href="40425_2019_514_MOESM6_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S5. Characteristics of patients with MMR-D and EBV positive gastric cancer. (DOCX 18 kb)</p></caption></media></supplementary-material>
<supplementary-material content-type="local-data" id="MOESM7" xlink:title="Additional files" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM7</object-id><media xlink:href="40425_2019_514_MOESM7_ESM.docx" mimetype="application" mime-subtype="msword" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Table S6. Subgroup analysis of progression-free survival. (DOCX 16 kb)</p></caption></media></supplementary-material>
</p></app></app-group><glossary><def-list><def-list><def-item><term>AGC</term><def><p id="Par5">Advanced gastric cancer</p></def></def-item><def-item><term>CIs</term><def><p id="Par6">Confidence intervals</p></def></def-item><def-item><term>CPS</term><def><p id="Par7">Combined positive score</p></def></def-item><def-item><term>CR</term><def><p id="Par8">Complete response</p></def></def-item><def-item><term>DCR</term><def><p id="Par9">Disease control rate</p></def></def-item><def-item><term>EBER</term><def><p id="Par10">EBV-encoded RNA</p></def></def-item><def-item><term>EBV</term><def><p id="Par11">Epstein-Barr virus</p></def></def-item><def-item><term>ECOG PS</term><def><p id="Par12">Eastern Cooperative Oncology Group performance status</p></def></def-item><def-item><term>FISH</term><def><p id="Par13">Fluorescence in situ hybridization</p></def></def-item><def-item><term>HER2</term><def><p id="Par14">Human epidermal growth factor receptor 2</p></def></def-item><def-item><term>HR</term><def><p id="Par15">Hazard ratio</p></def></def-item><def-item><term>IC</term><def><p id="Par16">Immune cell</p></def></def-item><def-item><term>IHC</term><def><p id="Par17">Immunohistochemistry</p></def></def-item><def-item><term>mAbs</term><def><p id="Par18">Monoclonal antibodies</p></def></def-item><def-item><term>MLH1</term><def><p id="Par19">Anti-mutL homolog 1</p></def></def-item><def-item><term>MMR</term><def><p id="Par20">Mismatch repair</p></def></def-item><def-item><term>MMR-D</term><def><p id="Par21">Mismatch repair deficient</p></def></def-item><def-item><term>MMR-P</term><def><p id="Par22">Mismatch repair proficient</p></def></def-item><def-item><term>MSH2</term><def><p id="Par23">Anti-mutS homolog 2</p></def></def-item><def-item><term>MSH6</term><def><p id="Par24">Anti-mutS homolog 6</p></def></def-item><def-item><term>mt/MB</term><def><p id="Par25">Mutations/megabase</p></def></def-item><def-item><term>ORR</term><def><p id="Par26">Objective response rate</p></def></def-item><def-item><term>PD</term><def><p id="Par27">Progressive disease</p></def></def-item><def-item><term>PD-1</term><def><p id="Par28">Anti-programmed death-1</p></def></def-item><def-item><term>PD-L1</term><def><p id="Par29">Programmed death-ligand 1</p></def></def-item><def-item><term>PD-L2</term><def><p id="Par30">Programmed death-ligand 2</p></def></def-item><def-item><term>PFS</term><def><p id="Par31">Progression-free survival</p></def></def-item><def-item><term>PMS2</term><def><p id="Par32">Anti-postmeiotic segregation increased 2</p></def></def-item><def-item><term>PR</term><def><p id="Par33">Partial response</p></def></def-item><def-item><term>pts.</term><def><p id="Par34">Patients</p></def></def-item><def-item><term>SD</term><def><p id="Par35">Stable disease</p></def></def-item><def-item><term>TC</term><def><p id="Par36">Tumor cell</p></def></def-item><def-item><term>TMB</term><def><p id="Par37">Tumor mutation burden</p></def></def-item></def-list></def-list></glossary></back></article>