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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.878457</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical Significance of a CD3/CD8-Based Immunoscore in Neuroblastoma Patients Using Digital Pathology</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname><given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname><given-names>Shu-Hua</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname><given-names>Shuo-Yu</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/618108"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname><given-names>Kai</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1685623"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname><given-names>Liang-Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname><given-names>Xiao-Yun</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname><given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/640568"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname><given-names>Sha</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname><given-names>Ling</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname><given-names>Feng-Hua</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Miao</surname><given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1295625"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname><given-names>Le</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname><given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/598142"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname><given-names>Ran</given-names>
</name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname><given-names>Hai-Yun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1480108"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pathology, Guangzhou Women and Children&#x2019;s Medical Center, Guangzhou Medical University, National Children&#x2019;s Medical Center for South Central Region</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Molecular Diagnosis and Gene Testing Center, The First Affiliated Hospital of Sun Yat-Sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Bio-totem Pte. Ltd.</institution>, <addr-line>Foshan</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of General Surgery, Nanfang Hospital, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Cellular &amp; Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Departments of Thoracic Surgery, Guangzhou Women and Children&#x2019;s Medical Center, Guangzhou Medical University, National Children&#x2019;s Medical Center for South Central Region</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children&#x2019;s Medical Center, Guangzhou Medical University, National Children&#x2019;s Medical Center for South Central Region</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Experimental Research, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Pathology, The First Affiliated Hospital of Sun Yat-Sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Silvia Deaglio, University of Turin, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Thomas Kilv&#xe6;r, University Hospital of North Norway, Norway; Shixiang Wang, Sun Yat-Sen University Cancer Center (SYSUCC), China</p>
</fn>
<fn fn-type="corresp" id="fn001">    <p>*Correspondence: Hai-Yun Wang, <email xlink:href="mailto:wanghy29@mail3.sysu.edu.cn">wanghy29@mail3.sysu.edu.cn</email>; Ran Wang, <email xlink:href="mailto:wangr55@mail.sysu.edu.cn">wangr55@mail.sysu.edu.cn</email>; Na Liu, <email xlink:href="mailto:liun1@sysucc.org.cn">liun1@sysucc.org.cn</email></p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to T Cell Biology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>878457</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zeng, Li, Xu, Chen, Qin, Liu, Wang, Fu, Deng, Wang, Miao, Li, Liu, Wang and Wang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zeng, Li, Xu, Chen, Qin, Liu, Wang, Fu, Deng, Wang, Miao, Li, Liu, Wang and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Infiltrating immune cells have been reported as prognostic markers in many cancer types. We aimed to evaluate the prognostic role of tumor-infiltrating lymphocytes, namely CD3+ T cells, CD8+ cytotoxic T cells and memory T cells (CD45RO+), in neuroblastoma.</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>Immunohistochemistry was used to determine the expression of CD3, CD8 and CD45RO in the tumor samples of 244 neuroblastoma patients. We then used digital pathology to calculate the densities of these markers and derived an immunoscore based on such densities.</p>
</sec>
<sec>
<title>Results</title>
<p>Densities of CD3+ and CD8+ T cells in tumor were positively associated with the overall survival (OS) and event-free survival (EFS), whereas density of CD45RO+ T cells in tumor was negatively associated with OS but not EFS. An immunoscore with low density of CD3 and CD8 (CD3-CD8-) was indictive of a greater risk of death (hazard ratio 6.39, 95% confidence interval 3.09-13.20) and any event (i.e., relapse at any site, progressive disease, second malignancy, or death) (hazard ratio 4.65, 95% confidence interval 2.73-7.93). Multivariable analysis revealed that the CD3-CD8- immunoscore was an independent prognostic indicator for OS, even after adjusting for other known prognostic indicators.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The new immunoscore based on digital pathology evaluated densities of tumor-infiltrating CD3+ and CD8+ T cells contributes to the prediction of prognosis in neuroblastoma patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neuroblastoma</kwd>
<kwd>prognosis</kwd>
<kwd>immunology</kwd>
<kwd>digital pathology</kwd>
<kwd>CD3/CD8 T cells</kwd>
</kwd-group>    <contract-num rid="cn001">81602468</contract-num>    <contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="10"/>
<word-count count="4284"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Emerging evidence has demonstrated that tumor microenvironment (TME) could modulate cancer progression whereas the characteristics of TME may be used for molecular classification to predict treatment response and cancer survival (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Among different cell types observed in TME, tumor-infiltrating lymphocytes (TILs), including macrophages, dendritic cells, mast cells, natural killer cells, naive and memory lymphocytes, B cells, and effector T cells, are suggested as the main players in modulating cancer progression (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). Recent studies have indeed shown an association of TILs with the prognosis of several cancer types (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). For instance, a high density of infiltrating CD3+ T cells, CD8+ cytotoxic T cells and CD45RO+ memory T cells was reported to indicate a long overall survival (OS) and progression-free survival among patients with gastric, liver, lung, nasopharyngeal, and colorectal cancers (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Contradicting findings do also exist. For instance, one study reported that high density of CD8+ cytotoxic T cells was associated with larger tumor size in glioblastoma patients (<xref ref-type="bibr" rid="B12">12</xref>). Regardless, the existing literature does seem to suggest that TILs might have a generic role in the progression of many solid tumors.</p>
<p>Neuroblastoma (NB) is a common tumor deriving from sympathoadrenal progenitor cells within the neural crest and has substantially varying clinical courses ranging from spontaneous regression to widespread metastasis despite intensive therapy (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The International Neuroblastoma Staging System (INSS) is currently used to determine treatment strategy and assessment of NB prognosis. NB patients are also commonly classified as at high-, intermediate-, or low- risk of death according to the Children&#x2019;s Oncology Group (COG) risk classification (<xref ref-type="bibr" rid="B15">15</xref>). The different risk groups might demonstrate specific genetic features. <italic>TERT</italic> rearrangement and inactivating mutations in <italic>ATRX</italic> have for instance been found predominantly among patients with high-risk NB (<xref ref-type="bibr" rid="B16">16</xref>). However, neither the staging systems nor the genetic variations seem to explain completely the extremely divergent clinical course of NB.</p>
<p>With the wide application of cancer immunotherapies, it becomes increasingly important to understand the immunological landscape of the TME to understand the divergent course of NB and to predict treatment response. A recent study showed that CD4+ T cells and macrophages are involved in the oncogenesis of NB (<xref ref-type="bibr" rid="B17">17</xref>). Marco et&#xa0;al. showed that tumor-infiltrating T cells, mainly CD3+, CD4+, and CD8+ T cells, improved clinical outcomes of patients with therapy-resistant NB (<xref ref-type="bibr" rid="B18">18</xref>) whereas Riyue et&#xa0;al. demonstrated that patients with high-risk NB showed a better survival when the tumor was T cell inflamed (<xref ref-type="bibr" rid="B19">19</xref>). A detailed description of the phenotypes of all infiltrating T cells, especially CD3+ T cells, CD8+ cytotoxic T cells, and CD45RO+ memory T cells, using a large collection of NB specimens is however currently not available.</p>
<p>To this end, we investigated the densities of tumor-infiltrating CD3+, CD8+ and CD45RO+ T cells in a large sample of NB patients using digital pathology and developed a new immunoscore, summarizing such densities, to assess its role in predicting OS and event-free survival (EFS) of NB patients.</p>
</sec>
<sec id="s2">
<title>Patients and Methods</title>
<sec id="s2_1">
<title>Clinical Specimens</title>
<p>All tumor specimens of 726 NB patients collected between January 2012 and December 2020 were identified in two academic institutions, the Guangzhou Women and Children&#x2019;s Medical Center (GWCMC) and the First Affiliated Hospital of Sun Yat-sen University (SYSU), in Guangdong Province, China. Among these, we included 244 NB patients with a newly diagnosed NB during this period and at an age &lt;15 years (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Only specimens with a tumor content greater than 50% were included in the study. All diagnoses were pathologically confirmed and restaged according to the INSS (<xref ref-type="bibr" rid="B20">20</xref>). The COG risk classification was performed for each patient according to medical records. This study is reported according to the Reporting Recommendations for Tumor Marker Prognostic Studies criteria (<xref ref-type="bibr" rid="B21">21</xref>). An Institutional Review Board approved the ethical, legal, and social implications of this project. Parents of all NB patients provided written informed consent to the participation of the study, mostly at the time of admission to the two academic institutions.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Workflow of the present study. Abbreviations: GNB, ganglioneuroblastoma; NB, neuroblastoma; IHC, immunohistochemistry; EFS, event-free survival; OS, overall survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-878457-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Immunohistochemical Staining</title>
<p>Pathological sequential slides of 4&#x2009;&#xb5;m thickness were sliced up from the formalin-fixed, paraffin-embedded (FFPE) tumor blocks and used for immunohistochemistry (IHC) analysis. Primary antibodies used were CD3 (Catalog #ab16669, 1:800; Abcam, Cambridge, UK), CD8 (Catalog #ab4055, 1:800; Abcam, Cambridge, UK), and CD45RO (clone UCHL1, 1:1600; Cell Signaling Technology, CST, Beverly, Massachusetts, USA). IHC was conducted as previously described (<xref ref-type="bibr" rid="B22">22</xref>). <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref> shows example images of IHC staining with high, low, and negative expressions of all three markers (online only).</p>
</sec>
<sec id="s2_3">
<title>Digital Pathology</title>    <p>Physical glass slides stained with CD3, CD8, and CD45RO were first reviewed by two experienced pathologists (L.Z and K.C) to ensure good staining quality for downstream analysis. All slides were then digitized at x200 magnification (Pannaromic Scan 150, 3DHistech, Hungary). Tumor areas with tumor nests and surrounding stroma areas, as well as necrosis areas, were manually annotated by a pathologist (K.C), using the QuPath software (version 0.2.3, University of Edinburgh, Scotland) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Regions-of-interest (ROI) was defined as annotated tumor areas excluding necrosis areas. The density of positively stained cells in the ROIs was quantified in the following steps. Stain deconvolution (<xref ref-type="bibr" rid="B23">23</xref>) was first performed to separate the original images into haematoxylin channel and DAB channel images. Nuclei were segmented from the haematoxylin channel images using a Mask-RCNN based deep learning method as described in a previous study (<xref ref-type="bibr" rid="B24">24</xref>). The positively stained areas were identified from the DAB channel images using a pre-defined cutoff value obtained according to the control slides. A positive cell was identified if the positively stained areas were found to overlap with the segmented nucleus region for CD3 and CD8 stained images or with the ring-shape surrounding nucleus region for CD45RO stained images. Finally, the numbers of CD3+, CD8+ and CD45RO+ T cells were quantified from the ROIs of each image and recorded as density per mm<sup>2</sup>. <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2B</bold></xref>&#x2013;<xref ref-type="fig" rid="f2"><bold>M</bold></xref> show example images with high and low numbers of CD3+, CD8+, and CD45RO+ T cells.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Representative image of CD3+, CD8+, and CD45RO+ expression and digital pathology. <bold>(A)</bold> a full view of immunohistochemistry staining labeled by the red circle as the tissue areas including tumorous and stromal areas and green circle as the necrosis areas; <bold>(B&#x2013;D)</bold> the high expression of CD3+, CD8+ and CD45RO+ T cells; <bold>(E&#x2013;G)</bold> the corresponding visual nucleus segmentation images in red color as positive and in green color as negative; <bold>(H&#x2013;J)</bold> the low expression of CD3+, CD8+ and CD45RO+ T cells; <bold>(K&#x2013;M)</bold> the corresponding visual nucleus segmentation images in red color as positive and in green color as negative.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-878457-g002.tif"/>
</fig>
</sec>
<sec id="s2_4">
<title>Cut-Off Values for High or Low Densities</title>
<p>We used the &#x2018;Survminer&#x2019; package in R software (version 4.1.2) to calculate optimal cut-off values to define a high or low density of CD3+, CD8+ and CD45RO+ T cells, using OS as the outcome. Based on such cutoff values, each patient was given a binary score, 0 for low density indicated as (-) and 1 for high density indicated as (+), for each cell type (CD3+, CD8+ and CD45RO+).</p>
</sec>
<sec id="s2_5">
<title>Statistical Analysis</title>
<p>Descriptive statistics were provided for clinical characteristics of the NB patients. The primary outcome was OS and secondary outcome was EFS, as identified through medical records. OS was calculated from the date of cancer diagnosis to the date of death from any cause. EFS was determined from the date of cancer diagnosis to the first occurrence of any event (i.e., relapse at any site, progressive disease, second malignancy, or death). Patients without an event were censored on the date of last contact (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The correlations between the expression levels of CD3, CD8, and CD45RO and NB clinical variables were analyzed using the &#x3c7;2 test or Fisher&#x2019;s exact test. We used Kaplan-Meier curves with the log-rank test method to estimate the differences in OS and EFS between patients with high and low densities of CD3+, CD8+ or CD45RO+ T cells. We also compared patients with different value of an immunoscore created based upon these individual markers. The decision of creating an immunoscore was made <italic>a priori</italic> given previous studies of similar kind using digital pathology (<xref ref-type="bibr" rid="B11">11</xref>). Hazard ratios (HRs) with 95% confidence intervals (CI) were first calculated using a univariate Cox regression analysis to show the associations of different prognostic indicators, including the densities of CD3+, CD8+, and CD45RO+ T cells and the combined immunoscore, with the risk of death or any event. Multivariable Cox regression analysis with backward selection was then used to test the prognostic roles of these different factors, mutually adjusted for one another. Only factors showing a statistically significant association (P &lt; 0.05) in the univariable analysis were included in the multivariable analysis. We analyzed CD3+, CD8+, and CD45RO+ T cells separately in the first multivariable model and as a combined immunoscore in the second multivariable model.</p>
<p>Statistics analyses were performed using R (version 4.1.2) and Stata version 15.1 (Texas, USA). All statistical tests were two sided and considered significant when the P value was less than 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient Characteristics and the Expression of CD3, CD8 and CD45RO</title>    <p>
<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> displays the patient characteristics. We evaluated the numbers of infiltrating total T cells (CD3+), cytotoxic T cells (CD8+), and memory T cells (CD45RO+) per mm<sup>2</sup> in the NB tissue blocks. A wide spectrum of infiltrating immune cells in the tissue blocks were identified using CD3, CD8, and CD45RO antibodies. The highest density was found for CD3 (median: 156, range: 0-2100/mm<sup>2</sup>) followed by CD8 (median: 90, range: 0-864/mm<sup>2</sup>) and CD45RO (median: 14, range: 0-949/mm<sup>2</sup>) (P&lt;0.001; <xref ref-type="supplementary-material" rid="SM2"><bold>Supplementary Figure&#xa0;2A</bold></xref>). The densities by age, pathological grade, MYCN status, risk classification, INSS, and gender are shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures&#xa0;2B</bold></xref>&#x2013;<xref ref-type="supplementary-material" rid="SM1"><bold>G</bold></xref> (online only). The 3-year OS and EFS were 77.1% (70.8-82.3%) and 63.0% (56.2-69.1%), whereas the 5-year OS and EFS were 70.1% (62.4-76.6%) and 60.5% (53.2-66.9%) in the 244 NB patients.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinicopathological characteristics of the 244 NB patients included in the study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">No. (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>Age, months</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;&lt; 18</td>
<td valign="top" align="center" style="background-color:  ">114 (46.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;&#x2265; 18</td>
<td valign="top" align="center" style="background-color:  ">130 (53.3)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>Sex</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Female</td>
<td valign="top" align="center" style="background-color:  ">104 (42.6)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Male</td>
<td valign="top" align="center" style="background-color:  ">140 (57.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>Pathological grade</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Well differentiated</td>
<td valign="top" align="center" style="background-color:  ">78 (32.0)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Undifferentiated or poorly differentiated</td>
<td valign="top" align="center" style="background-color:  ">163 (66.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;NA</td>
<td valign="top" align="center" style="background-color:  ">3 (0.2)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>MKI</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;High</td>
<td valign="top" align="center" style="background-color:  ">45 (18.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Intermediate</td>
<td valign="top" align="center" style="background-color:  ">30 (12.3)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Low</td>
<td valign="top" align="center" style="background-color:  ">155 (63.5)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;NA</td>
<td valign="top" align="center" style="background-color:  ">14 (5.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>MYCN status</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Amplified</td>
<td valign="top" align="center" style="background-color:  ">33 (13.5)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Nonamplified</td>
<td valign="top" align="center" style="background-color:  ">190 (77.9)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;NA</td>
<td valign="top" align="center" style="background-color:  ">21 (8.6)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>INSS</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Early stage</td>
<td valign="top" align="center" style="background-color:  ">80 (32.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Advanced stage</td>
<td valign="top" align="center" style="background-color:  ">164 (67.2)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>COG risk group</bold>
</td>
<td valign="top" align="center" style="background-color:  "/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;High</td>
<td valign="top" align="center" style="background-color:  ">108 (44.3)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Intermediate</td>
<td valign="top" align="center" style="background-color:  ">62 (25.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  ">&#x2003;Low</td>
<td valign="top" align="center" style="background-color:  ">74 (30.3)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>3-year OS (95% CI)</bold>
</td>
<td valign="top" align="center" style="background-color:  ">77.1% (70.8%-82.3%)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>3-year EFS (95% CI)</bold>
</td>
<td valign="top" align="center">63.0% (56.2%-69.1%)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>5-year OS (95% CI)</bold>
</td>
<td valign="top" align="center" style="background-color:  ">70.1% (62.4%-76.6%)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:  "><bold>5-year EFS (95% CI)</bold>
</td>
<td valign="top" align="center">60.5% (53.2%-66.9%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NB, neuroblastoma; MKI, mitosis-karyorrhexis index; INSS, the International Neuroblastoma Staging System; COG, Children&#x2019;s Oncology Group; OS, overall survival; EFS, event-free survival; CI, confidence intervals; NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Prognostic Values of Individual Markers</title>
<p>We next analyzed the prognostic values of CD3, CD8, and CD45RO in NB. A low density of CD3+ T cells was associated with a lower OS (P&lt;0.0001; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>) and a higher risk of death (HR 4.46, 95% CI 2.44-8.17) (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>, online only). Similarly, a low density of CD8+ T cells was also associated with a lower OS (P&lt;0.0001; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>) and a higher risk for death (HR 4.25, 95% CI 2.29-7.90) (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>). Similar results were found for EFS (P&lt;0.0001 for both CD3+ and CD8+ T cells; <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3D, E</bold></xref>) and the risk of any event (HR 3.78, 95% CI 2.38-6.02 for CD3+ T cells and HR 3.06, 95% CI 1.94-4.84 for CD8+ T cells (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>). A low density of CD45RO+ T cells was associated with a greater OS (P=0.0410; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>) and a lower risk of death (HR 0.55, 95% CI 0.31-0.95) (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>) but not any event (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref> and <xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Survival analysis of CD3, CD8 and CD45RO expression in all NB patients. Kaplan-Meier survival curves were performed according to the high and low densities of CD3, CD8 and CD45RO (<bold>A&#x2013;C</bold> for OS; <bold>D&#x2013;F</bold> for EFS). P values were calculated by Log-rank test. NB, neuroblastoma; OS, overall survival; EFS, event-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-878457-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Prognostic Value of the Immunoscore</title>
<p>To understand the joint prognostic value of these immune markers, we developed an immunoscore (IS) summarizing the individual markers. As CD45RO+ T cells was not associated with EFS in the above analysis, we classified all NB patients into four groups according to the densities of CD3 and CD8, namely high densities of both CD3 and CD8 (CD3+CD8+), high density of CD3 but low density of CD8 (CD3+CD8-), low density of CD3 but high density of CD8 (CD3-CD8+) and low densities of both CD3 and CD8 (CD3-CD8-). The immunoscore of CD3-CD8- was associated with a lower OS (P&lt;0.0001 for both OS and EFS; <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4A, B</bold></xref>) and a higher risk of both death and any event (HR 6.39, 95% CI 3.09-13.20 for death and HR 4.65, 95% CI 2.73-7.93 for any event (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The prognostic value of the immunoscore based on the high and low densities of CD3 and CD8 in all NB patients. Kaplan-Meier survival analysis with the log-rank test was performed according to the immunoscore (<bold>A</bold>, P &lt; 0.0001 for OS; <bold>B</bold>, P &lt; 0.0001 for EFS). P values were calculated by Log-rank test. NB, neuroblastoma; OS, overall survival; EFS, event-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-878457-g004.tif"/>
</fig>
<p>As age, MYCN status, INSS, and COG risk were statistically significantly associated with OS and EFS in the univariable analysis (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table&#xa0;1</bold></xref>), we performed multivariate Cox regression analysis to assess the roles of the individually markers as well as the immunoscore after adjustment for age, MYCN status, INSS, and COG risk in two separate models. In the model for individual markers, we found similar associations between CD3+ and CD8+ T cells with the risk of death or any event, as in the univariable analysis (<xref ref-type="supplementary-material" rid="ST2"><bold>Supplementary Table&#xa0;2</bold></xref>, online only). In the model for immunoscore, we found that the immunoscore of CD3-CD8- was still associated with a higher risk of death and any event after adjustment for all other prognostic factors (HR 6.04, 95% CI 2.83-12.86, P &lt; 0.0001 for death; HR 4.45, 95% CI 2.55-7.76, P&lt;0.0001 for any event) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Multivariable Cox regression analysis of risk factors associated with OS and EFS in NB patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center"> </th>
<th valign="top" align="center">Multivariable HR (95% CI)</th>
<th valign="top" align="center"><italic>P</italic> value </th>
<th valign="top" align="center"> </th>
<th valign="top" align="center">Multivariable HR (95% CI)</th>
<th valign="top" align="center"><italic>P</italic> value </th>
</tr>
<tr>
<th valign="top" align="left"> </th>
<th valign="top" align="center">OS</th>
<th valign="top" align="center"> </th>
<th valign="top" align="center"> </th>
<th valign="top" align="center">EFS</th>
<th valign="top" align="center"> </th>
<th valign="top" align="center"> </th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Age, months</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt; 18</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265; 18</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.00 (1.17-7.70)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.93 (0.48-1.80)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>MYCN status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Amplified</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Nonamplified</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.64 (0.33-1.22)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.96 (0.54-1.69)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>INSS</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Advanced stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Early stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.68 (0.17-2.78)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.74 (0.27-2.08)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>COG risk</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Intermediate</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.48 (0.17-1.37)</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.35 (0.16-0.75)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.14 (0.02-1.09)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.09 (0.02-0.38)</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Immunoscore</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">&#x2003;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CD3+CD8+</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CD3+CD8-</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.50 (0.82-7.63)</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.81 (0.74-4.38)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CD3-CD8+</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.07 (0.23-4.99)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.96 (0.77-4.97)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CD3-CD8-</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6.04 (2.83-12.86)</td>
<td valign="top" align="center">&lt; 0.0001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.45 (2.55-7.76)</td>
<td valign="top" align="center">&lt; 0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MKI, mitosis-karyorrhexis index; INSS, the International Neuroblastoma Staging System; COG, Children&#x2019;s Oncology Group; OS, overall survival; EFS, event-free survival; HR, hazard ratio; CI, confidence interval; NA, not applicable; P &lt; 0.05 indicates statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In a study of 244 incident patients with NB, we performed the IHC analysis and digital pathology to assess the prognostic values of the densities of tumor-infiltrating CD3+, CD8+ and CD45RO+ T cells in NB survival. We found a high density of CD3+ and CD8+ T cells to indicate longer OS and EFS whereas an immunoscore of low densities of both CD3 and CD8 to indicate the highest risk of death or any progression event.</p>
<p>A previous study has reported that TME within tumor regions, including tumor interior and invasive margins, may be defined by the type, functional orientation, density, and location of immune cells (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, tumor-infiltrating immune cells have obtained considerable research interest, especially in terms of their prognostic values in treatment response and caner survival (<xref ref-type="bibr" rid="B27">27</xref>). Several studies have shown that the density and distribution of TILs based on H&amp;E slides are valuable prognostic makers in breast (<xref ref-type="bibr" rid="B28">28</xref>), non-small cell lung (<xref ref-type="bibr" rid="B29">29</xref>) and gastric (<xref ref-type="bibr" rid="B30">30</xref>) cancers. Moreover, studies have shown that the density of TILs is independently associated with treatment response of neoadjuvant chemotherapy in triple-negative breast cancer with HER2-overexpressing disease and homologous recombination deficient status (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Galon et&#xa0;al. reported however that using H&amp;E slides to evaluate density of TILs was not reproducible and highly subjective, and suggested that immunoscore through quantifying specific T cells such as CD3+, CD8+ and CD45RO+ T cells might be more reproducible and objective (<xref ref-type="bibr" rid="B1">1</xref>). Such immunoscore has indeed been reported as prognostic indicators in many cancers. Frank et&#xa0;al. showed for instance that CD3+, CD8+ and CD45RO+ T cells were correlated with cancer recurrence and OS in patients with rectal cancer and an immunoscore integrating the three was a powerful prognostic tool and might supplement the TNM staging system (<xref ref-type="bibr" rid="B33">33</xref>). In this study, we used digital pathology and showed that CD3+ T cells and CD8+ T cells mirrored each other as previously shown in non-small cell lung cancer and colorectal cancer (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B10">10</xref>), similarly suggesting that high densities of CD3+ and CD8+ T cells were associated with a longer OS in NB.</p>
<p>High densities of TILs appear to decrease the risk of cancer recurrence, however, the driving forces for the differential densities remain unknown. It has been speculated that both host and tumor factors might contribute to the density of TILs. Therefore the densities of CD3+, CD8+, and CD45RO+ T cells in NB may also differ by clinical variables. In our study, we found that the density of CD3+ T cells was higher than that of CD8+ and CD45RO+ T cells. Further, density of CD3+ T cells was higher among NB patients with MYCN nonamplification and male, density of CD8+ T cells was higher among NB patients with differentiated pathology and male, whereas density of CD45RO+ T cells was higher among NB patients diagnosed above 18 months of age. These suggest that CD3+, CD8+ and CD45RO+ T cells might have different roles in the prognosis of NB, namely that CD3+ T cells are mostly strongly associated with OS and EFS of NB, followed by CD8+ T cells, as suggested in a previous study (<xref ref-type="bibr" rid="B18">18</xref>), whereas CD45RO+ T cells might have little or a harmful effect on NB survival. In general, a high density of CD45RO has been related to good clinical outcomes of several solid tumors, including melanoma, head and neck cancer, lung cancer, and colorectal cancer (<xref ref-type="bibr" rid="B34">34</xref>). The contradictory finding of NB and the previous studies might suggest that the role of CD45RO might be specific to tumor type and TME. Indeed, in contrast to other solid tumors, NB is a pediatric cancer with low mutation burden, little infiltrating immune cells, and poor response to immune checkpoint inhibitors (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>It is known that the tumor microenvironment is both diverse and complicated as different immune cells are capable of infiltrating tumor tissues, indicating that a synergistic view of different immune cells might provide better understanding of the immune microenvironment. For example, one study reported that the number of CD8+ TILs alone could not predict survival of patients with glioma, whereas the combination of having both low density of CD8+ and high density of CD4+ predicted survival (<xref ref-type="bibr" rid="B33">33</xref>). In the present study, we classified the NB patients into four groups based on the densities of CD3+ and CD8+ T cells and found that NB patients with CD3-CD8- had the highest risk of death and progression event, compared with other patients. Our results add therefore important new knowledge to existing literature suggesting a beneficial effect of cytotoxic T lymphocytes in tumors of diverse origin (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Digital pathology is gaining momentum in the analysis of pathologic tissue samples due to its accuracy and quantification of the full-view slides, providing a tool for more automatic and objective evaluation (<xref ref-type="bibr" rid="B37">37</xref>). Another advantage is the possibility to facilitate complex spatial patterns and standard metrics (<xref ref-type="bibr" rid="B38">38</xref>). In our study, we conducted digital pathology to evaluate the densities of CD3+, CD8+ and CD45RO+ T cells in NB tumor tissues. Due to the lower overall densities of infiltrating immune cells in NB tumors, compared to other cancers, we evaluated the densities of these markers in the indicated slides as a whole. Franck et&#xa0;al. have also used digital pathology and presented an immunoscore based on the densities of CD3+ and CD8+ T cells measured in the core and invasive margins of tumors, and found it to predict the survival of patients with rectal cancer (<xref ref-type="bibr" rid="B33">33</xref>). Therefore, immunoscore using digital pathology made it possible to determine the immunotype for each NB patient, strongly indicative of prognosis.</p>
<p>Novel tumor classification has also been proposed based on the immunoscore, as hot (high immunoscore), altered (intermediate immunoscore), and cold (low immunoscore) tumors (<xref ref-type="bibr" rid="B39">39</xref>). Immunotherapies are the most rapidly growing field in cancer treatment and have a major impact in clinical outcomes of cancer patients. A consensus was made that effector T cells play the central role in antitumor responses (<xref ref-type="bibr" rid="B40">40</xref>). Several studies have reported that hot tumors show a fertile ground for effective immune checkpoint inhibitors (ICIs) based on monotherapy or combination therapies, whereas cold tumors featured by low immunoscore should be treated with combined priming therapy, which may enhance T cell responses to convert an immune cold tumor to an immune hot tumor (<xref ref-type="bibr" rid="B41">41</xref>). NB is in general characterized as low immunogenicity due to the lower tumor mutation burden and lower infiltrating of immune cells (<xref ref-type="bibr" rid="B42">42</xref>), impeding the effective engagement during immunotherapy (<xref ref-type="bibr" rid="B43">43</xref>). Thus, a different or more extensive biomarker should be&#xa0;developed for successful implementation of novel immunotherapies in NB patients to improve survival.</p>
<p>There are several limitations in this study. First, we did not evaluate TILs density using H&amp;E slides. However, it remains interesting to incorporate information on the presence of tertiary lymphoid structures (TLSs) and TILs to the immunoscore, which will likely lead to better understanding of the functional role of immune contexture in NB. Another limitation is the lack of independent validation. Future studies of independent samples are therefore needed to validate our findings.</p>
<p>In conclusion, our work shows that high densities of CD3+ and CD8+ T cells are indicative of longer OS and EFS in NB patients. Additionally, an immunoscore based on the densities of CD3+ and CD8+ T cells may help to classify patients with NB into different prognostic profiles. Together, these findings might pave the way for a novel implementation of immunotherapy in NB patients.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institute Research Ethics Committee of Guangzhou Women and Children&#x2019;s Medical Center [2021]078A01. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>H-YW and NL performed study concept and design. LZ, S-HL, KC, and L-JQ conducted experiment. LZ and KC reviewed IHC slides. S-YX conducted digital pathology. H-YW, LZ, X-YL, S-YX, and RW performed data analysis and interpretation. FW, SF, S-HL, F-HW, LL, and LM retrieved clinical data. H-YW, LZ, and X-YL wrote manuscript drafting. All authors have reviewed and approved the final manuscript for publication.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was partially supported by the start-up program of Guangzhou Women and Children&#x2019;s Medical Center (No. 3001151-04) and the National Natural Science Foundation of China (81602468).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>Author S-YX was employed by Bio-totem Pte. Ltd.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The reviewer SW declared a shared affiliation with the authors X-YL, FW, LD, and NL to the handling editor at the time of review.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank Senior engineer Wei Wang (Cellsvision [Guangzhou]) Medical Technology Inc. China) for the professional image scanning for this study. We also would like to thank Fang Fang (Karolinska Institutet, Stockholm, Sweden) for reviewing this manuscript.</p>
</ack>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.878457/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.878457/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="DataSheet_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_1.xlsx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_2.xlsx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<sec id="s12">
<title>Abbreviations</title>
<p>NB, Neuroblastoma; INRG, International Neuroblastoma Risk Group; TME, tumor microenvironment; INSS, International Neuroblastoma Staging System; IHC, immunohistochemistry; FFPE, formalin-fixed, paraffin-embedded; OS, overall survival; EFS, event-free survival; COG, Children&#x2019;s Oncology Group.</p>
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