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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">s40425-019-0540-1</article-id><article-id pub-id-type="manuscript">540</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0540-1</article-id><article-id pub-id-type="pmid">30850021</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/65.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">Expression and clinical significance of PD-L1, B7-H3, B7-H4 and TILs in human small cell lung Cancer (SCLC)</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Carvajal-Hausdorf</surname><given-names>Daniel</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Altan</surname><given-names>Mehmet</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Velcheti</surname><given-names>Vamsidhar</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gettinger</surname><given-names>Scott N.</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Herbst</surname><given-names>Roy S.</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rimm</surname><given-names>David L.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><name name-style="western"><surname>Schalper</surname><given-names>Kurt A.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor7">g</xref></contrib><aff id="Aff1">
<label>Aff1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000000419368710</institution-id><institution-id institution-id-type="GRID">grid.47100.32</institution-id><institution content-type="org-division" xlink:type="simple">Department of Pathology</institution><institution content-type="org-name" xlink:type="simple">Yale School of Medicine</institution></institution-wrap>
<addr-line content-type="city">New Haven</addr-line>
<country country="US">USA</country>
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<institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9631 4901</institution-id><institution-id institution-id-type="GRID">grid.412187.9</institution-id><institution content-type="org-division" xlink:type="simple">Anatomia Patologica, Clinica Alemana</institution><institution content-type="org-name" xlink:type="simple">Facultad de Medicina Universidad del Desarrollo</institution></institution-wrap>
<addr-line content-type="city">Santiago</addr-line>
<country country="CL">Chile</country>
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<label>Aff3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000000419368710</institution-id><institution-id institution-id-type="GRID">grid.47100.32</institution-id><institution content-type="org-division" xlink:type="simple">Medical Oncology</institution><institution content-type="org-name" xlink:type="simple">Yale School of Medicine and Yale Cancer Center</institution></institution-wrap>
<addr-line content-type="street">333 Cedar St. FMP117</addr-line>
<addr-line content-type="postcode">06520-8023</addr-line>
<addr-line content-type="city">New Haven</addr-line>
<addr-line content-type="state">CT</addr-line>
<country country="US">USA</country>
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<label>Aff4</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0384 9827</institution-id><institution-id institution-id-type="GRID">grid.411896.3</institution-id><institution content-type="org-division" xlink:type="simple">Thoracic Oncology</institution><institution content-type="org-name" xlink:type="simple">MD Anderson Cancer Center</institution></institution-wrap>
<addr-line content-type="city">Camden</addr-line>
<country country="US">USA</country>
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<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1936 8753</institution-id><institution-id institution-id-type="GRID">grid.137628.9</institution-id><institution content-type="org-division" xlink:type="simple">Thoracic Oncology</institution><institution content-type="org-name" xlink:type="simple">New York University</institution></institution-wrap>
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<phone> 203-785-4719</phone>
<email xlink:type="simple">kurt.schalper@yale.edu</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="2019-03-08" pub-type="epub-original" publication-format="electronic"><day>8</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="2019-03-08T00:00:00-08:00" pub-type="epub"><day>8</day><month>3</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>65</elocation-id><history><date date-type="received" iso-8601-date="2018-11-06"><day>6</day><month>11</month><year>2018</year></date><date date-type="accepted" iso-8601-date="2019-02-20"><day>20</day><month>2</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_540_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><sec id="ASec1"><title>Background</title><p id="Par1">Small cell lung cancer (SCLC) accounts for 10–15% of all lung malignancies and its prognosis is dismal. Although early studies have shown promising clinical activity of immune checkpoint blockers, the immune composition and expression of potentially actionable immunostimulatory targets in this malignancy are poorly understood.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">Using multiplexed quantitative immunofluorescence (QIF), we measured the levels of 3 different B7 family ligands PD-L1, B7-H3, B7-H4 and major tumor infiltrating lymphocyte (TIL) subsets in 90 SCLC samples represented in tissue microarray format. Associations between the marker levels, clinicopathological variables and survival were studied.</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">PD-L1 protein was detected in 7.3%, B7-H3 in 64.9% and B7-H4 in 2.6% of SCLC cases. The markers showed limited co-expression and were not associated with the level of TILs, age, gender and stage. Elevated B7-H4 was associated with shorter 5-year overall survival. The levels of CD3+, CD8+ and CD20+ TILs and the ratio of total/effector T-cells were significantly lower in SCLC than in non-small cell lung cancer. High levels of CD3+, but not CD8+ or CD20+ TILs were significantly associated with longer survival.</p></sec><sec id="ASec4"><title>Conclusions</title><p id="Par4">Taken together, our study indicate variable expression and clinical role of B7-family ligands in SCLC with predominant expression of the candidate target B7-H3 and the presence of a limited cytotoxic anti-tumor immune response. These results support the evaluation of B7-H3 blockers and/or pro-inflammatory therapies in SCLC.</p></sec></abstract><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>No</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>2</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>20</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_540.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-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par15">Small cell lung cancer (SCLC) accounts for approximately 10–15% of all lung carcinomas and comprise high-grade neuroendocrine tumors with aggressive clinical course and prominent association with tobacco use [<xref ref-type="bibr" rid="CR1">1</xref>–<xref ref-type="bibr" rid="CR3">3</xref>]. To date, there are limited therapeutic options and the prognosis is ominous with 5-year survival rates of only around 3–6% for extensive stage SCLC [<xref ref-type="bibr" rid="CR1">1</xref>]. Molecular characterization of SCLC has revealed an extremely high nonsynonymous mutational rate and the presence of deleterious variants in the tumor suppressor genes TP53 and RB1 virtually in all cases [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR4">4</xref>]. In addition, SCLCs contain relatively low frequency of mutations in actionable oncogenes, limiting the therapeutic options [<xref ref-type="bibr" rid="CR5">5</xref>]<bold>.</bold>
</p><p id="Par16">Immunostimulatory therapies blocking the PD-1 axis produce prominent and lasting clinical responses in nearly 20% of non-small cell carcinomas (NSCLC), the most common form of lung cancer [<xref ref-type="bibr" rid="CR6">6</xref>–<xref ref-type="bibr" rid="CR9">9</xref>]. The clinical benefit to PD-1 axis blockers is associated with tumor PD-L1 expression, pre-existing anti-tumor immune response and increased tumor mutational burden [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR8">8</xref>–<xref ref-type="bibr" rid="CR11">11</xref>]. Although preliminary data from ongoing trials using antagonistic PD-1 and CTLA-4 antibodies in heavily pre-treated SCLCs suggests limited activity of monotherapy regimens, combination PD-1/CTLA-4 immune checkpoint blockade show encouraging results with objective responses in up to ~ 30% of cases [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR13">13</xref>]. Despite these results, little is known about the immune composition of SCLC and most studies characterizing immune cells or targets have used qualitative/subjective methods. Identification of dominant immune cell populations and/or expression of candidate immunotherapy targets in this tumor could support optimal design and interpretation of clinical trials.</p><p id="Par17">PD-L1 protein expression has been found in a highly variable proportion of SCLC ranging from 0% in one study including 61 samples [<xref ref-type="bibr" rid="CR14">14</xref>] to 71.6% in another study with 102 cases [<xref ref-type="bibr" rid="CR15">15</xref>]. The biological determinants for this discrepancy remain unknown but are likely due to technical differences or limitations of the methods used. Here, we used validated assays and multiplexed quantitative immunofluorescence (QIF) to objectively measure and assess the clinical impact of PD-L1, B7-H3, B7-H4 and major TIL subpopulations in human SCLCs.</p></sec><sec id="Sec2" sec-type="methods"><title>Methods</title><sec id="Sec3"><title>Patients, cohorts and tissue microarrays</title><p id="Par18">Samples from a retrospectively collected SCLC cohort from Yale University represented in 2 tissue microarrays (TMAs) (YTMA57 and YTMA259) totaling 90 cases were used. Detailed clinico-pathological characteristics of the cohorts were collected form surgical pathology reports and clinical records. TMAs were prepared using 0.6 mm tissue cores, each in 2-fold redundancy using standard procedures [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR17">17</xref>]. The actual number of samples analyzed for each marker is lower than the total samples in the cohort due to unavoidable loss of tissue, absence or limited tumor cells in some spots as is commonly seen in TMA studies or incomplete clinicopathologic annotation. All tissue was used after approval from the Yale Human Investigation Committee protocols #9505008219 and #1608018220, which approved the patient consent forms or in some cases waiver of consent.</p></sec><sec id="Sec4"><title>Multiplexed quantitative immunofluorescence (QIF)</title><p id="Par19">We measured the levels of PD-L1 (E1L3N, Cell Signaling technology), B7-H3 (D9M2L, Cell Signaling Technology), B7-H4 (D1M8I, Cell Signaling Technology), CD3 (clone E272, Novus Biologicals), CD8 (clone C8/144B, DAKO), CD20 (clone L26, DAKO) and pancytokeratin (AE1/AE3, DAKO) using QIF in TMA slides containing the cohort cases. PD-L1, B7-H3 and B7-H4 were stained in serial sections from the TMA blocks using a previously described protocol with simultaneous detection of cytokeratin and 4′,6-diamidino-2-phenylindole (DAPI) [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR19">19</xref>]. Briefly, antigen retrieval was with citrate buffer pH 6.0 for 20 min at 97 °C in a pressure-boiling container and blocking was performed with 0.3% bovine serum albumin in 0.05% Tween solution for 30 min. Primary antibodies were incubated overnight using a dilution of 1:1600 for PD-L1, 1:500 for B7-H3 and 1:200 for B7-H4. Stringent validation and optimization of these assays using cell line transfectants and endogenous human tissue controls has been reported by our group [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR21">21</xref>]. Secondary antibody for cytokeratin was Alexa 546-conjugated goat anti-mouse or anti-rabbit (Invitrogen Molecular Probes, Eugene, OR, USA). Cyanine 5 (Cy5) directly conjugated to tyramide (FP1117; Perkin-Elmer) at a 1:50 dilution was used for target antibody detection.</p><p id="Par20">CD3, CD8, CD20 and cytokeratin were simultaneously stained using a sequential staining protocol, as previously described [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR22">22</xref>]. Briefly, TMA sections were deparaffinized and subjected to antigen retrieval using pH = 8.0 EDTA buffer (Sigma-Aldrich, St Louis, MO, USA) and boiled for 20 min at 97 °C in a pressure-boiling container (PT module, Lab Vision, Thermo Scientific, Waltham, MA, USA). Slides were then incubated with dual endogenous peroxidase block (DAKO #S2003, Carpinteria, CA, USA) for 10 min at room temperature and subsequently with a blocking solution containing 0.3% bovine serum albumin in 0.05% Tween solution for 30 min. Residual horseradish peroxidase activity between incubations with secondary antibodies was eliminated by exposing the slides twice for 7 min to a solution containing benzoic hydrazide (100 mM) and hydrogen peroxide (50 mM) in PBS. Isotype specific, fluorophore-conjugated secondary antibodies were used for signal detection and nuclei were highlighted using DAPI.</p></sec><sec id="Sec5"><title>Fluorescence signal quantification and cases stratification</title><p id="Par21">Quantitative measurement of the fluorescent signal was performed using the AQUA® method of QIF, as previously reported [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. Briefly, the QIF score of each fluorescence channel was calculated by dividing the target marker pixel intensities by the area of the desired compartment. Scores were normalized to the exposure time and bit depth at which the images were captured, allowing scores collected at different exposure times to be comparable. The immune target scores and TIL markers considered the signal detected in the whole tissue compartment using an adjusted DAPI mask. Cases were considered as target expressers when the QIF score was above the signal detection threshold determined using the negative control preparations and visual inspection. For stratification, the marker levels were classified as high/low using the top 25-percentile of the cohort scores as stratification cut-point.</p></sec><sec id="Sec6"><title>Statistical analyses</title><p id="Par22">QIF signal differences between groups were analyzed using t-test for continuous variables and chi-square test for categorical variables. Linear regression coefficients were calculated to determine the association between continuous scores. Survival analysis based on marker expression was performed using Kaplan-Meier analyses with log rank test and overall survival as endpoint. Statistical significance was considered at <italic toggle="yes">P</italic> &lt; 0.05 and analyses were performed using JMP® Pro software (version 9.0.0, 2010, SAS Institute Inc.) and GraphPad Prism v6.0 for Windows (GraphPad Software, Inc). All statistical tests were two-sided.</p></sec></sec><sec id="Sec7" sec-type="results"><title>Results</title><sec id="Sec8"><title>Expression of PD-L1, B7-H3, B7-H4 and TILs in SCLC</title><p id="Par23">We previously validated and optimized assays for detection of PD-L1, B7-H3, B7-H4 and TIL markers using formalin-fixed, paraffin-embedded (FFPE) preparations from human tissue samples and cell line transfectants [<xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR20">20</xref>–<xref ref-type="bibr" rid="CR23">23</xref>]. As expected for SCLC, positive staining for cytokeratin was focal and frequently showed a perinuclear dot-like staining pattern (Fig. <xref rid="Fig1" ref-type="fig">1</xref>). PD-L1 and B7-H3 were predominantly recognized in tumor cells with cytoplasmic and membranous staining (Fig. <xref rid="Fig1" ref-type="fig">1</xref>a). Prominent B7-H4 positivity was infrequently recognized and showed relatively low signal with a focal staining pattern. Expression of TIL markers showed predominance of CD3+ T-cell staining with CD8+ and CD20+ cells displaying low levels in the cohort. Representative examples from cases with prominent CD3+ TILs or CD20+ B-cell infiltrates are shown in Fig. <xref rid="Fig1" ref-type="fig">1</xref>b<bold>.</bold>
<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>Detection of immune targets and TILs in SCLC using multiplex quantitative fluorescence. <bold>a</bold> Representative fluorescence pictures showing B7-H3 (upper panel) and PD-L1 (lower panel) protein expression in SCLC. The target signal (red fluorescence) is predominantly located in tumor cells. <bold>b</bold> Representative fluorescence pictures showing the signal for DAPI (blue), cytokeratin (CK, green), CD3 (red), CD8 (green) and CD20 (magenta) staining in SCLC. Bar = 100 um</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par24">Using the visual detection threshold by pathologists-based analysis, we detected tumor-cell PD-L1, B7-H3 and B7-H4 in 7.3, 64.9 and 2.6% of cases in the cohort (Fig. <xref rid="Fig2" ref-type="fig">2</xref>). In the QIF analysis, PD-L1 and B7-H4 show relatively low scores, while B7-H3 had a wider range with cases displaying prominently higher signal. Overall, the levels of B7-H3 were 2.3 fold higher than PD-L1 (mean QIF score 894 vs 386, <italic toggle="yes">P</italic> = 0.02) and 5.8 fold higher than B7-H4 (mean QIF score 894 vs 155, <italic toggle="yes">P</italic> &lt; 0.001). Notably, the levels of the targets showed limited correlation with PD-L1 and B7-H3 showing minimal co-expression consistent with a mutually exclusive expression pattern (Fig. <xref rid="Fig3" ref-type="fig">3</xref>a).<fig id="Fig2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig2</object-id><label>Fig. 2</label><caption xml:lang="en"><p>Levels of different immune targets in SCLC. Distribution of PD-L1 (red), B7-H3 (green) and B7-H4 (magenta) QIF scores in SCLCs from Yale. The frequency of expression for each marker is indicated in parenthesis. The cut-point used to define expression was the signal detection threshold. AU = Arbitrary units of fluorescence</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig2_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
<fig id="Fig3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig3</object-id><label>Fig. 3</label><caption xml:lang="en"><p>PD-L1, B7-H3 and B7-H4 are infrequently co-expressed in SCLC. A-C) Histograms showing the levels of PD-L1, B7-H3 and B7-H4 protein in small cell lung carcinomas from the Yale cohort. The linear regression coefficients (R<sup>2</sup>) of the scores between each marker pair are indicated within the charts</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig3_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par25">Expression of the TIL markers showed a wide range and continuous score distribution with 16% of cases displaying undetectable B and T-cell infiltration <bold>(</bold>Fig. <xref rid="Fig4" ref-type="fig">4</xref>
<bold>)</bold>. CD3 showed the highest dynamic range of all markers and was detected in 94% of specimens. CD8+ T-cell infiltration was identified in 67% of cases and CD20+ B-lymphocyte signal was seen only in 11% of cases.<fig id="Fig4" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig4</object-id><label>Fig. 4</label><caption xml:lang="en"><p>Levels of TIL subpopulations in SCLC. Distribution of CD3 (red), CD8 (green) and CD20 (magenta) QIF scores in SCLCs from the Yale cohort. Cases were stratified using the median score of each marker as stratification cut-point. AU = Arbitrary units of fluorescence</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig4_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec><sec id="Sec9"><title>Tumor immune infiltration of SCLC and comparison with NSCLC</title><p id="Par26">To evaluate the TIL scores of SCLCs in the context of other lung cancer subtypes, we compared the marker levels with those obtained in retrospective cohorts of lung adenocarcinomas (LADC) and lung squamous cell carcinomas (LSCC) measured using the same assay and analysis platform [<xref ref-type="bibr" rid="CR22">22</xref>]. As shown in Fig. <xref rid="Fig5" ref-type="fig">5</xref>a<bold>,</bold> SCLCs showed significantly lower levels of all TIL markers than LADC and LSCC (<italic toggle="yes">P</italic> = 0.01-<italic toggle="yes">P</italic> &lt; 0.0001). The most prominent difference was in CD8 level that was 5.4 fold lower than in LADC and 6-fold lower than in LSCC. Notably, the CD3/CD8 ratio was also prominently lower in SCLC than in the major NSCLC subsets, suggesting the presence of a less cytotoxic T-cell profile in this malignancy (Fig. <xref rid="Fig5" ref-type="fig">5</xref>b, mean CD3/CD8 ratio of 0.37 vs 0.63 in LADC and 0.62 in LSCC, <italic toggle="yes">P</italic> &lt; 0.001).<fig id="Fig5" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig5</object-id><label>Fig. 5</label><caption xml:lang="en"><p>Levels of TIL subpopulations in SCLC and major NSCLC subtypes. <bold>a</bold> Chart showing the levels of CD3 (red), CD8 (green) and CD20 (magenta) in SCLC (left), primary lung adenocarcinomas (LADC, center) and lung squamous cell carcinomas (LSCC, right). Each bar depicts the median +/− SEM. The levels of TILs in NSCLC subtypes were obtained previously using the same multiplexing protocol [<xref ref-type="bibr" rid="CR22">22</xref>]. <bold>b</bold> Chart showing the ratio of CD8/CD3 signal in SCLCs (left), LADCs (center) and LSCCs (right). The number of cases is indicated within each bar. *** = <italic toggle="yes">P</italic> &lt; 0.001; ns = not significant. AU = Arbitrary units of fluorescence</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig5_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec><sec id="Sec10"><title>Association of the markers with clinicopathologic variables and survival</title><p id="Par27">Elevated expression of PD-L1, B7-H3 or B7-H4 (scores within the top signal quartile) were not significantly associated with major clinicopathologic variables or TIL markers in the cohort (Table <xref rid="Tab1" ref-type="table">1</xref>). As expected, the levels of CD3 were positively associated with CD8, but there was no relationship between CD3 or CD8 and CD20 in the tumors. High levels of CD20+ B-cells were more commonly seen in samples from female patients (14 of 23 [37.8%] vs 6 of 38 [13.6%], <italic toggle="yes">P</italic> = 0.01). High PD-L1 or B7-H3 protein levels were not significantly associated with 5-year overall survival (Fig. <xref rid="Fig6" ref-type="fig">6</xref>a-b). However, elevated expression of B7-H4 was associated with shorter survival in the cohort (Fig. <xref rid="Fig6" ref-type="fig">6</xref>c<bold>,</bold> log-rank <italic toggle="yes">P</italic> = 0.05). In addition, increased expression of the pan T-cell marker CD3- but not of CD8 or CD20 was significantly associated with longer overall survival (log-rank <italic toggle="yes">P</italic> = 0.03, Fig. <xref rid="Fig6" ref-type="fig">6</xref>d-f).<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Association of PD-L1, B7-H3, B7-H4 and TIL subsets with major clinico-pathological characteristics and TILs in SCLC</p></caption><graphic xlink:href="40425_2019_540_Tab1_HTML.png" position="float" orientation="portrait" xlink:type="simple"/></table-wrap>
<fig id="Fig6" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig6</object-id><label>Fig. 6</label><caption xml:lang="en"><p>Association between the levels of B7 family ligands, TIL subsets and survival in SCLC. Kaplan-Meier graphical analysis of the 5-year overall survival in patients with SCLC from the Yale cohort. <bold>a</bold> Survival based on the expression of the immune ligands PD-L1 (left), B7-H3 (center) and B7-H4 (right). <bold>b</bold> Survival based on the expression of the TIL markers CD3 (left), CD8 (center) and CD20 (right). The respective log-rank <italic toggle="yes">P</italic> values are indicated in the chart</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_540_Fig6_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec></sec><sec id="Sec11"><title>Discussion and conclusions</title><p id="Par28">Using multiplexed tissue analysis, we have objectively measured 3 different B7-family member ligands and TIL subsets in a sizable collection of human SCLCs. We found relatively low levels of PD-L1, B7-H4 and TILs; but prominent expression of B7-H3 protein. In addition, we found a previously unrecognized negative prognostic role of B7-H4 and a positive prognostic effect of CD3+ TILs in this malignancy. Taken together, our data support that SCLC is a relatively “immune-cold” tumor and suggests the presence of prominent immune regulatory mechanisms. Elevated expression of B7-H3 could mediate immune evasion in SCLC and represent a therapeutic opportunity.</p><p id="Par29">Diverse studies have interrogated the expression of PD-L1 by chromogenic immunohistochemistry (IHC) in SCLC and have reported highly variable results ranging 0–71.6% [<xref ref-type="bibr" rid="CR14">14</xref>, <xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR24">24</xref>]. These differences could be explained using different IHC assays, analysis platforms and stratification cut-points. One study showing 71.6% PD-L1 expression used a commercial rabbit monoclonal antibody (Abcam, Cambridge, UK) with 5% positive tumor cell as cut-point, but did not specify the clone name and validation status [<xref ref-type="bibr" rid="CR15">15</xref>]. Two other studies using the validated antibody clone E1L3N [<xref ref-type="bibr" rid="CR25">25</xref>] and semi-quantitative scoring reported expression frequencies of 0% in tumor cells (0/94 cases) with 18.5% in stromal/immune cells (17/92 cases) [<xref ref-type="bibr" rid="CR14">14</xref>]; and 5.8% overall PD-L1 expression (4 of 69 cases) [<xref ref-type="bibr" rid="CR24">24</xref>]. The latter results are similar to our study showing infrequent expression of PD-L1 in SCLC.</p><p id="Par30">Although anti-tumor activity of PD-1 blocking agents has been shown in recurrent SCLC [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR13">13</xref>], the predictive value of tumor PD-L1 expression in this malignancy is unknown. Future studies directly comparing the clinical benefit of patients with PD-L1 positive and negative SCLCs will be required to clarify this.</p><p id="Par31">Another finding was the common/high expression of B7-H3 and relatively low expression of B7-H4 in the cohort. To the best of our knowledge, this is the first report about the expression of these targets in SCLC. Interestingly, both markers showed minimal co-expression and low association with PD-L1 suggesting a non-redundant/exclusive expression pattern. A similar finding was recently communicated by our group in NSCLC [<xref ref-type="bibr" rid="CR21">21</xref>]. In SCLCs the expression of PD-L1, B7-H3 and B7-H4 was not associated with the level of CD3, CD8 or CD20+ TILs. However, elevated expression of B7-H4 was significantly associated with worse overall survival supporting a role of this marker in SCLC progression.</p><p id="Par32">Targeting B7-H3 is currently being evaluated as anti-cancer immunostimulatory strategy in preclinical models and in early phase clinical trials [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR27">27</xref>]. Enoblituzumab (MGA271, Macrogenics) is an Fc-optimized monoclonal antibody to selectively target B7-H3 and is currently in phase 1 studies alone or in combination with PD-1/CTLA-4 inhibitors (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02475213" xlink:type="simple">NCT02475213</ext-link>,  <ext-link ext-link-type="clintrialgov" xlink:href="NCT01391143" xlink:type="simple">NCT01391143</ext-link> and <ext-link ext-link-type="clintrialgov" xlink:href="NCT02381314" xlink:type="simple">NCT02381314</ext-link>). Further understanding of the modulation of B7-H3 expression, identification of its cognate receptor(s) and immuno-modulatory role in cancer will be key to support further clinical development of this pathway.</p><p id="Par33">Our data show that SCLCs display relatively low T- and B-cell infiltration despite being traditionally associated with prominent tobacco exposure, high mutational load and production of neuroendocrine antibodies mediating autoimmune paraneoplastic syndromes [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR28">28</xref>], In addition, SCLCs have a low total/effector T-cell ratio and limited association between TIL levels and survival. This supports a limited adaptive anti-tumor response in most SCLCs and suggests the presence of potent tolerogenic mechanisms in this malignancy. Possible mechanisms involved in immune evasion are currently unknown but may include an altered tumor microvasculature, epigenetic silencing of immunogenic tumor epitopes, metabolic competition between tumor and immune cells and expression of multiple potent immune suppressive targets/pathways [<xref ref-type="bibr" rid="CR28">28</xref>]. Additional studies will be required to explore these possibilities. Notably and different to other tumor types [<xref ref-type="bibr" rid="CR29">29</xref>, <xref ref-type="bibr" rid="CR30">30</xref>], only CD3+ but not CD8+ TILs were prognostic in SCLCs. A lack of prognostic value of CD8+ TILs as measured by chromogenic IHC and semi-quantitative scoring was also recently reported in a retrospective cohort of 66 stage I-III lung SCLCs [<xref ref-type="bibr" rid="CR31">31</xref>]. The limited prognostic value of cytotoxic CD8+ TILs in SCLC could be at least partially explained by the relatively low levels of this immune cell subset. The positive prognostic effect of CD3 could be due to a higher dynamic range of this marker and to the contribution to this score of additional non-cytotoxic CD3+ immune cell populations such as CD4+ TILs and NKT cells.</p><p id="Par34">Our study has limitations. The evaluation of cases was performed using TMAs with possible over/under-representation of the markers due to evaluation of relatively small tumor areas. In addition, tumor tissue was obtained from a single tumor location, limiting the representation of additional lesions not sampled during the diagnostic workup. However, diverse reports measuring immune markers using TMAs from individual tumor lesions have shown consistent results and significant association with clinicopathologic features and outcome supporting the value of this approach [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR22">22</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. Finally, the cut-points used for marker stratification were based on the relative abundance of the protein signal within the cohort and should be considered as exploratory. Additional studies using independent SCLC collections will be required to validate optimal marker stratification strategies in this disease.</p><p id="Par35">In summary, we have quantitatively measured the expression of 3 different B7-family ligands and major TIL populations in human SCLC. Our data indicate variable expression of the markers with predominance of the candidate immunostimulatory target B7-H3; and the presence of a limited cytotoxic anti-tumor immune response in this malignancy.</p></sec></body><back><ack><p>Not applicable.</p></ack><fn-group><fn fn-type="other"><label>Funding</label><p id="Par36">FONDECYT Grant No. 1150731, Lung Cancer Research Foundation (LCRF), Yale SPORE in Lung Cancer (P50CA196530), Department of Defense-Lung Cancer Research Program Career Development Award (W81XWH-16-1-0160), Stand Up To Cancer - American Cancer Society Lung Cancer Dream Team Translational Research Grants  (SU2C-AACR-DT17-15 and SU2C-AACR-DT22-17), Yale Cancer Center Support Grant (P30CA016359) and sponsored research by Navigate BioPharma.</p></fn><fn fn-type="other"><label>Availability of data and materials</label><p id="Par37">De-identified datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.</p></fn></fn-group><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>Study conception and design: DEC, KAS. In vitro assays: DEC, KAS. Staining of clinical cases and image analysis: DEC, KAS. Statistical analyses: DEC, KAS. Drafting of manuscript: DEC, KAS. Critical revision of manuscript: all authors. Supervision &amp; securing of study resources: KAS. 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="Par39">All tissue was used after approval from the Yale Human Investigation Committee protocols #9505008219 and #1608018220, which approved the patient consent forms or in some cases waiver of consent.</p></sec><sec id="FPar4"><title>Consent for publication</title><p id="Par40">Not applicable.</p></sec><sec id="FPar5"><title>Competing interests</title><p id="Par41">Kurt Schalper: Consultant or advisor for Celgene, Moderna Therapeutics, Shattuck Labs, AstraZeneca, Pierre-Fabre and Abbvie. Research funding by Navigate Biopharma, Vasculox/Tioma, Tesaro, Takeda, Moderna Therapeutics, Surface Oncology, Pierre-Fabre, Merck and Bristol-Myers Squibb.</p><p id="Par91">David Rimm: Consultant or advisor for Amgen, AstraZeneca, Agendia, Biocept, BMS, Cell Signaling Technology, Cepheid, Daiichi Sankyo, GSK, InVicro/Konica/ Minolta, Merck, NanoString, Perkin Elmer, PAIGE.AI, and Ultivue. Equity holder in PixelGear (start-up company related to direct tissue imaging) Research funding from AstraZeneca, Cepheid, Navigate/Novartis, NextCure, Lilly, Ultivue, Ventana and Perkin Elmer/Akoya.</p><p id="Par92">Mehmet Altan: Research funding from BMS and Lilly.</p><p id="Par93">Vamsidhar Velcheti: Consultant or advisory role for Genentech, BMS, AstraZeneca, Merck, Nektar therapeutics, Reddy Labs, Celgene, Foundation Medicine and Takeda Oncology.</p><p id="Par94">Roy Herbst: Consultant or advisory role for Abbvie Pharmaceuticals, AstraZeneca, Biodesix, Bristol-Myers Squibb , Eli Lilly and Company, EMD Serono, Genentech/Roche, Heat Biologics, Loxo Oncology, Merck and Company, Nektar, NextCure, Novartis, Pfizer, Sanofi, Seattle Genetics, Shire PLC, Spectrum Pharmaceuticals, Symphogen, Tesaro, Neon Therapeutics, Infinity Pharmaceuticals. Research support from AstraZeneca, Eli Lilly and Company, Merck and Company. Member of the board of directors (non-executive/ independent) for Junshi Pharmaceuticals.</p></sec><sec id="FPar6"><title>Publisher’s Note</title><p id="Par42">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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