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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.2025.1649078</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>CD155-TIGIT/CD96/CD226 immune checkpoint axis interacting with tumor-infiltrating lymphocytes to exhibit diverse prognostic effects on breast cancer: a cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ou</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2635399/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Junyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3185197/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Feng</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2272631/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yanjie</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Quan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2270453/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Keyu</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lyu</surname>
<given-names>Shuzhen</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Jiangping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yanping</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2008487/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Song</surname>
<given-names>Qingkun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1577859/overview"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Clinical Epidemiology, Beijing Youan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Center of Biobank, Beijing Youan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pathology, Beijing Shijitan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Medical Oncology, Beijing Shijitan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pathology, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/77130/overview">Jorge Morales-Montor</ext-link>, National Autonomous University of Mexico, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Anna Fialov&#xe1;, SOTIO a.s., Czechia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1701944/overview">Noorwati Sutandyo</ext-link>, Dharmais Hospital National Cancer Center, Indonesia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qingkun Song, <email xlink:href="mailto:songqingkun@ccmu.edu.cn">songqingkun@ccmu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1649078</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ou, Yin, Shi, Zhao, Zhou, Yuan, Lyu, Wu, Li and Song.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ou, Yin, Shi, Zhao, Zhou, Yuan, Lyu, Wu, Li and Song</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>CD155, an immune checkpoint molecule interacted with receptors of TIGIT/CD96/CD226 to exhibit co-inhibitory and co-stimulatory modulation on tumor immune microenvironment. Nevertheless, the exploration of collectively prognostic effect of these four molecules on breast cancer (BC) was limited. This study aimed to investigate the prognosis effect of CD155-TIGIT/CD96/CD226 complex in BC.</p>
</sec>
<sec>
<title>Methods</title>
<p>CD155-TIGIT/CD96/CD226 expression was evaluated by immunohistochemistry in tumor microenvironment (TME) by pathological professionals and the associations with clinical characteristics and prognosis were investigated under a cohort study design.</p>
</sec>
<sec>
<title>Results</title>
<p>CD155 was detected on TME tumor cells (TC) and TIGIT/CD96/CD226 were detected on both TC and stromal tumor-infiltrated lymphocytes (TILs). The four molecules showed significant correlation with clinicopathological characteristics and prognosis. High CD155 was associated with relapse (HR = 2.21, 95%CI:1.18-4.13) and death (HR = 2.57, 95%CI:1.29-5.10). High expression of CD226 (HR = 1.79, 95%CI:1.03-3.11) and CD96 (HR = 2.65, 95%CI:1.09-6.44) on TC was correlated with high risk of relapse. High expression of TIGIT on TILs was related to poor prognosis of relapse (HR = 2.06, 95%CI:1.02-4.14), while the expression on TC was a protective factor for relapse (HR = 0.45, 95%CI:0.24-0.83) and death (HR = 0.32, 95%CI:0.16-0.66). Additionally, tumoral and stromal expression of these biomarkers interacted with TME infiltration of stromal TILs to exhibit the diverse prognosis effect.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The CD155-CD226/TIGIT/CD96 immune checkpoint complex expressed on both TME TC and TILs, and interacted with TILs to exhibit diverse prognosis effect on BC. The immunotherapy against these checkpoint proteins should check the expression on both TC and TILs and further studies should explore the molecule complex collectively for comprehensive prediction of BC prognosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>CD155-TIGIT/CD226/CD96 immune checkpoint molecules</kwd>
<kwd>prognosis</kwd>
<kwd>breast cancer</kwd>
<kwd>tumor cells</kwd>
<kwd>tumor-infiltrating lymphocytes</kwd>
<kwd>tumor microenvironment</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="17"/>
<word-count count="7182"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In 2022, there were approximately 2.3 million Breast cancer (BC) cases and 666,000 deaths worldwide, ranking second in cancer burden in incidence and fourth in the leading cause of death (<xref ref-type="bibr" rid="B1">1</xref>). Immune checkpoint inhibitors (ICIs), representing a burgeoning immunotherapy strategy, have enhanced the clinical cure rate of BC patients (<xref ref-type="bibr" rid="B2">2</xref>). Nevertheless, some patients cannot obtain any clinical benefits from immunotherapy and suffer from disease progression or recurrence (<xref ref-type="bibr" rid="B3">3</xref>). 2.8%-15.8% of BC patients treated with ICIs experience cancer progression or developed new lesions (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Exploration of new prognostic biomarkers and therapeutic targets was essential for immunotherapy.</p>
<p>CD155-TIGIT/CD96/CD226, members of the immunoglobulin superfamily, are potential immunotherapy targets. CD155 is an imperative cell adhesion protein and a key regulator of cell-mediated immune responses in the immunoglobulin superfamily, and is regularly upregulated in malignant tumor cells (TC) (<xref ref-type="bibr" rid="B7">7</xref>). TIGIT is a co-inhibitory receptor mainly expressed on T cells and NK cells and has been found to be highly upregulated in tumor-infiltrating lymphocytes (TILs) in melanoma and other cancers (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). CD96 is also expressed mainly on immune cells and is increased in acute lymphoblastic leukemia and myelodysplastic syndrome (<xref ref-type="bibr" rid="B9">9</xref>). CD226 is a co-stimulant receptor that had been found to be down-regulated in non-small cell lung cancer and sensitive to clinical therapies (<xref ref-type="bibr" rid="B10">10</xref>). With CD155 binding, TIGIT/CD96/CD226 transmits inhibition and activation signals to the immune system, and the integrated signals regulate immune functions and affect the anti-tumor immune response (<xref ref-type="bibr" rid="B11">11</xref>). These interactive functions indicate that the complex of CD155 with TIGIT/CD96/CD226 should be evaluated collectively to contribute to the development of new immunotherapeutic targets. In addition, clinical and basic studies have reported the anti-tumor responses of immunotherapy against CD155 (<xref ref-type="bibr" rid="B12">12</xref>), TIGIT (<xref ref-type="bibr" rid="B13">13</xref>), CD96 (<xref ref-type="bibr" rid="B14">14</xref>) and CD226 (<xref ref-type="bibr" rid="B15">15</xref>), and elucidated the potential of modulating the CD155-TIGIT/CD96/CD226 immune pathway to enhance the anti-tumor immune response.</p>
<p>Currently, clinical studies of CD155-TIGIT/CD96/CD226 in BC have primarily focused on the expression of CD155 and TIGIT; however, research on CD226 and CD96 is limited. Thus, this study aimed to investigate the prognostic value of these four molecules on TC and stromal TILs and provide a reference for BC immunotherapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Ethical approvement</title>
<p>All procedures performed in this study involving human participants were in accordance with the ethical standards of the Institutional Review Board of Beijing Shijitan Hospital, Capital Medical University (sjtkyll-1x-2021(108)), as well as the 1964 Helsinki Declaration and its later amendments or comparable ethical standards (16). Given the retrospective and de-identified nature of the study, the aforementioned Institutional Review Board waived the requirement for written informed consent (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_2">
<title>Study setting and design</title>
<p>This study was a retrospective cohort study. 227 female patients with a pathological diagnosis of primary BC were recruited from the Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University from 2010 to 2018. Inclusion criteria: &#x2460; Patients had no diagnosis of pregnancy, lactation, or other malignancies; &#x2461;Patients had no experience of neoadjuvant chemotherapy or target therapy; &#x2462;Patients under 75 years of age. Exclusion criteria: &#x2460;Patients previously received any form of immunotherapy; &#x2461;Patients had a diagnosis of autoimmune disease; &#x2462;Patients had an Eastern Cooperative Oncology Group (ECOG) score &gt;2; &#x2463;Patients had dysfunction of the heart, brain, kidneys, and other vital organs.</p>
</sec>
<sec id="s2_3">
<title>Data collection and definition</title>
<p>The clinical factors included age, pathological diagnosis, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2) status, tumor histological grade, tumor stage, Ki-67 status, PD-1 and PD-L1 expression status.</p>
<p>The positive expression threshold of ER and PR in immunohistochemistry (IHC) detection was set to 1% TC staining. IHC tests with 3+ staining or positive results in fluorescence <italic>in situ</italic> hybridization (FISH) indicated positive HER-2 expression. By contrast, IHC tests with less than 2+ staining or negative FISH results showed negative expression. Patients with 2+ staining in IHC tests were required to undergo FISH testing. Ki-67 expression was defined as a brown nucleus in BC cells by IHC on 4 &#x3bc;m-thick formalin fixed paraffin-embedded sections. Meanwhile, the Ki-67 index was calculated as the proportion of BC cells expressing Ki-67 within the hot-spot area. The hot-spot area was determined under a low-power field, and an index&#x2265;14% was defined as a high expression of Ki-67. Molecular subtypes were defined as Luminal A (HER-2 negative, PR/ER positive, Ki-67 low expression), Luminal B (HER-2 negative, PR/ER positive, Ki-67 high expression), TNBC (HER-2 negative, ER negative, PR-negative, Ki-67 arbitrary), and HER-2 overexpression (HER-2 positive, Ki-67 arbitrary). Tumor histological grading was performed using the Nottingham grading system, integrating the proportion of gland formation, nuclear pleomorphism, and mitotic count to determine the overall grade of the tumor. The score ranges for grades I, II, and III were 3-5, 6-7, and 8-9, respectively. Tumor staging was performed using the tumor node metastasis (TNM) classification system following the guidelines of the 8th edition of the American Joint Committee on Cancer. TNM stage was classified as I (T<sub>1</sub>N<sub>0</sub>M<sub>0</sub>, T<sub>0~1</sub>N<sub>1mi</sub>M<sub>0</sub>), II (T<sub>0~1</sub>N<sub>1</sub>M<sub>0</sub>, T<sub>2</sub>N<sub>0~1</sub>M<sub>0</sub>, T<sub>3</sub>N<sub>0</sub>M<sub>0</sub>), III (T<sub>0~2</sub>N<sub>2</sub>M<sub>0</sub>, T<sub>3</sub>N<sub>1~2</sub>M<sub>0</sub>, T<sub>4</sub>N<sub>0~2</sub>M<sub>0</sub>, T<sub>0~4</sub>N<sub>3</sub>M<sub>0</sub>), and IV(T<sub>0~4</sub>N<sub>0~3</sub>M<sub>1</sub>).</p>
</sec>
<sec id="s2_4">
<title>Outcome and follow-up</title>
<p>Cancer recurrence and death were study outcomes. The follow-up interval was set as six months and data was collected from clinic visits, telephonic interviews, as well as hospital records. The diagnosis of BC recurrence relied on biopsy, bone scanning, as well as CT/MRI. Information about all-cause deaths was gathered from both patients and their caregivers. Disease-free survival (DFS) was defined as the period from surgery to cancer recurrence or death. Overall survival (OS) was defined as the interval from surgery to death.</p>
</sec>
<sec id="s2_5">
<title>IHC detection and scoring</title>
<p>The expression of CD155, TIGIT, CD96, and CD226 on the membrane of TC and stromal TILs was detected by IHC using the EnVision two-step method. Stromal area was demarcated as the region falling within the boundaries of the invasive tumor. Areas featuring crush artifacts, necrosis, regressive hyalinization, and the biopsy site were excluded from this definition. Scored cells comprised mononuclear cells, specifically lymphocytes and plasma cells, while polymorphonuclear leukocytes were excluded. TILs were measured as the average counts in 10 random high-power fields (HPF, &#xd7;400) on IHC sections.</p>
<p>Monoclonal antibody against CD155 (rabbit anti-human, #81254S) were purchased from Cell Signaling Technology Co. Ltd. Monoclonal antibodies against CD226 (rabbit anti-human, #ab2120772) and TIGIT (rabbit anti-human, #ab243903) were purchased from Abcam Co. Ltd. A polyclonal antibody against CD96 (rabbit anti-human, #PA5-97568) was purchased from Invitrogen Co. Ltd. Monoclonal antibodies against PD-L1 (rabbit anti-human, #SP142) were purchased from Roche Shanghai Co. Ltd. Monoclonal antibody against PD-1 (mouse anti-human, # UMAB199) and secondary antibodies were purchased from Beijing Zhongshanjinqiao Biotechnology Co. Ltd.</p>
<p>Positive expression was recorded by brown staining of the cells. PD-L1 positive expression was denoted by the appearance of brown staining in the cytoplasm and/or cell membrane of both immune cells and TC. PD-1 positive expression was manifested as brown-stained cytoplasm within immune cells. Positive expression of CD155/TIGIT/CD96/CD226 on TC in the tumor microenvironment (TME) was defined as brown staining on the cytomembrane. Positive expression of TIGIT/CD96/CD226 in stromal TILs was defined as brown cytoplasmic staining. The expression of CD155, TIGIT, CD96, and CD226 on TC was evaluated by integrating staining intensity and the proportion of positive cells: the proportion of positive TC was categorized into 4 grade based on percentage (grade 0 = 0% positive cells, grade 1 = &lt;1/3 positive cells, grade 2 = 1/3-2/3 positive cells, grade 3 = &gt;2/3 positive cells), and staining intensity was scored as 0 (negative), 1 (weak and incomplete cytomembrane staining), 2 (weak and complete or strong and incomplete cytomembrane staining), or 3 (strong and complete cytomembrane staining); a composite score, with a total range of 0-9, was calculated by multiplying the proportion grade by the corresponding intensity score for all positive TC (i.e., composite score = proportion grade &#xd7; intensity score).The percentage grade of positive TC indicated the proportion category of TC with molecular expression in the whole section, and the percentage of stromal TILs indicated the proportion of stromal TILs with positive molecule expression in the whole section. High expression of CD155, TIGIT, CD96, and CD226 was defined as a composite score of more than 3 for TC. Because the staining intensity on TILs could not be determined, high stromal expression was defined as more than 2/3 positive cells. Two pathologists estimated the IHC scoring, and a third, higher-level pathologist re-evaluated inconsistent estimations between the two pathologists.</p>
</sec>
<sec id="s2_6">
<title>Statistical analyses</title>
<p>R version 4.3.1 was used to conduct all statistical analyses. Differences between groups were analyzed using Pearson&#x2019;s chi-square or Fisher&#x2019;s exact test. The influence of missing data was eliminated during the analysis. Survival curves were plotted using the Kaplan-Meier method, and differences between groups were evaluated using the log-rank test. Cox proportional hazards regression models were established to control for confounding factors. The analysis steps were as follows: &#x2460;clinical factors related to prognosis and molecular expression were screened in univariate analysis; &#x2461;the selected relevant factors (<italic>p</italic> &lt; 0.10) were adjusted in combination with CD155-TIGIT/CD96/CD226 molecular expression levels, and the relationship between each molecular expression and prognosis was estimated using the Cox multivariate model, with the estimation of hazard ratio (HR) and 95% Confidence interval (CI). All analyses were two-sided and the significance level was set at 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Expression of CD155 and TIGIT/CD96/CD226 on TME TC and stromal TILs</title>
<p>Both stromal TILs and TC expressed CD226, CD96, and TIGIT (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;C</bold>
</xref>), but only TC expressed CD155 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). Among them, 37.2%, 25.6%, and 17.1% of the patients had more than 2/3 of stromal TILs expressing CD226, CD96, and TIGIT, respectively, and 24.9%,26.9%,84.8% and 56.7% of the patients had high expression levels of CD155, CD226, CD96, and TIGIT in TC, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Immunohistochemical staining of CD226, CD96, TIGIT, CD155 on tumor cells and stromal TILs in tumor microenvironment of breast cancer, <bold>(A)</bold> CD226, <bold>(B)</bold> CD96, <bold>(C)</bold> TIGIT, <bold>(D)</bold> CD155.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g001.tif">
<alt-text content-type="machine-generated">Four scientific micrographs labeled A, B, C, and D displaying tissue samples with stained cells. Yellow and red arrows indicate specific cell structures or areas. Each panel shows varying levels of cell density and staining intensity, highlighting differences in tissue composition.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>CD155-CD226/CD96/TIGIT expression in breast cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">TME cells</th>
<th valign="top" align="left">Biomarker expression</th>
<th valign="top" align="center">N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="9" align="left">Stromal TILs</td>
<td valign="top" align="left">CD226</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">123 (62.8)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">73 (37.2)</td>
</tr>
<tr>
<td valign="top" align="left">CD96</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">154 (74.4)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">53 (25.6)</td>
</tr>
<tr>
<td valign="top" align="left">TIGIT</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">180 (82.9)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">37 (17.1)</td>
</tr>
<tr>
<td valign="top" rowspan="12" align="left">TC</td>
<td valign="top" align="left">CD155</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">160 (75.1)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">53 (24.9)</td>
</tr>
<tr>
<td valign="top" align="left">CD226</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">152 (73.1)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">56 (26.9)</td>
</tr>
<tr>
<td valign="top" align="left">CD96</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">31 (15.2)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">173 (84.8)</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">TIGIT</td>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">91 (43.3)</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">119 (56.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TILs, tumor-infiltrating lymphocytes; TC, tumor cells</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Correlation between clinicopathological characteristics and CD155-CD226/TIGIT/CD96</title>
<p>High CD226 expression in stromal TILs was associated with ER(<italic>p</italic> = 0.006), PR(<italic>p</italic> = 0.041), and PD-1(<italic>p</italic> = 0.012, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). High CD226 expression in TC correlated with low HER-2 expression (<italic>p</italic> = 0.050, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). More TNBC patients had high expression of CD96 in stromal TILs (<italic>p</italic> = 0.044, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), which was significantly associated with PD-L1 expression in stromal TILs (<italic>p</italic> = 0.012, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). High CD96 expression on TC correlated with increased TILs in the TME (<italic>p</italic> = 0.002, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). High expression of TIGIT in stromal TILs was correlated with low PR (<italic>p</italic> = 0.025, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) but high PD-L1 expression in stromal TILs (<italic>p</italic> = 0.014, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). High TIGIT expression in TC was correlated with lower histological grade (<italic>p</italic> = 0.004, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). High expression of CD155 was associated with higher TILs levels (<italic>p</italic> = 0.033, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), higher proportion of histological grade (<italic>p</italic> = 0.023, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), higher Ki-67 index (<italic>p</italic> &lt; 0.001, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), higher proportion of TNBC (<italic>p</italic> = 0.020, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), and PD-L1 expression on stromal TILs (<italic>p</italic> = 0.040, <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>Correlations between clinicopathological factors and CD155/CD226/TIGIT/CD96 expression.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" rowspan="3" align="left">Characteristic</th>
<th valign="middle" colspan="11" align="center">Expression of CD226 on stromal TILs</th>
<th valign="middle" colspan="9" align="center">Expression of CD226 on TC</th>
<th valign="middle" colspan="7" align="center">Expression of CD96 on stromal TILs</th>
<th valign="middle" colspan="6" align="center">Expression of CD96 on TC</th>
</tr>
<tr>
<th valign="middle" colspan="3" align="center">Low</th>
<th valign="middle" colspan="2" align="center">High</th>
<th valign="middle" rowspan="2" colspan="3" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" colspan="3" align="center">
<italic>p</italic>
</th>
<th valign="middle" colspan="3" align="center">Low</th>
<th valign="middle" colspan="2" align="center">High</th>
<th valign="middle" rowspan="2" colspan="3" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
<th valign="middle" colspan="2" align="center">Low</th>
<th valign="middle" colspan="2" align="center">High</th>
<th valign="middle" rowspan="2" colspan="2" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
<th valign="middle" colspan="2" align="center">Low</th>
<th valign="middle" colspan="2" align="center">High</th>
<th valign="middle" rowspan="2" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
</tr>
<tr>
<th valign="middle" colspan="3" align="center">(n=123)</th>
<th valign="middle" colspan="2" align="center">(n=73)</th>
<th valign="middle" colspan="3" align="center">(n=152)</th>
<th valign="middle" colspan="2" align="center">(n=56)</th>
<th valign="middle" colspan="2" align="center">(n=154)</th>
<th valign="middle" colspan="2" align="center">(n=53)</th>
<th valign="middle" colspan="2" align="center">(n=31)</th>
<th valign="middle" colspan="2" align="center">(n=173)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="35" align="left">age</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&lt;60</td>
<td valign="middle" colspan="3" align="center">76 (61.8)</td>
<td valign="middle" colspan="2" align="center">48 (65.8)</td>
<td valign="middle" colspan="3" align="center">0.163</td>
<td valign="middle" colspan="3" align="center">0.687</td>
<td valign="middle" colspan="3" align="center">96 (63.2)</td>
<td valign="middle" colspan="2" align="center">37 (66.1)</td>
<td valign="middle" colspan="3" align="center">0.051</td>
<td valign="middle" align="center">0.822</td>
<td valign="middle" colspan="2" align="center">100 (64.9)</td>
<td valign="middle" colspan="2" align="center">35 (66.0)</td>
<td valign="middle" colspan="2" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" colspan="2" align="center">17 (54.8)</td>
<td valign="middle" colspan="2" align="center">117 (67.6)</td>
<td valign="middle" align="center">1.383</td>
<td valign="middle" align="center">0.240</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&#x2265;60</td>
<td valign="middle" colspan="3" align="center">47 (38.2)</td>
<td valign="middle" colspan="2" align="center">25 (34.2)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">56 (36.8)</td>
<td valign="middle" colspan="2" align="center">19 (33.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">54 (35.1)</td>
<td valign="middle" colspan="2" align="center">18 (34.0)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">14 (45.2)</td>
<td valign="middle" colspan="2" align="center">56 (32.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">TILs</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Low</td>
<td valign="middle" colspan="3" align="center">28 (26.7)</td>
<td valign="middle" colspan="2" align="center">20 (27.4)</td>
<td valign="middle" colspan="3" align="center">0</td>
<td valign="middle" colspan="3" align="center">1</td>
<td valign="middle" colspan="3" align="center">33 (24.6)</td>
<td valign="middle" colspan="2" align="center">16 (28.6)</td>
<td valign="middle" colspan="3" align="center">0.148</td>
<td valign="middle" align="center">0.700</td>
<td valign="middle" colspan="2" align="center">38 (27.3)</td>
<td valign="middle" colspan="2" align="center">11 (22.0)</td>
<td valign="middle" colspan="2" align="center">0.303</td>
<td valign="middle" align="center">0.582</td>
<td valign="middle" colspan="2" align="center">15 (50.0)</td>
<td valign="middle" colspan="2" align="center">33 (21.2)</td>
<td valign="middle" align="center">9.480</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">High</td>
<td valign="middle" colspan="3" align="center">77 (73.30)</td>
<td valign="middle" colspan="2" align="center">53 (72.6)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">101 (75.4)</td>
<td valign="middle" colspan="2" align="center">40 (71.4)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">101 (72.7)</td>
<td valign="middle" colspan="2" align="center">39 (78.0)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">15 (50.0)</td>
<td valign="middle" colspan="2" align="center">123 (78.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">18</td>
<td valign="middle" colspan="2" align="center">0</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">18</td>
<td valign="middle" colspan="2" align="center">0</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">15</td>
<td valign="middle" colspan="2" align="center">3</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">17</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Histology</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Ductal</td>
<td valign="middle" colspan="3" align="center">108 (87.8)</td>
<td valign="middle" colspan="2" align="center">66 (90.4)</td>
<td valign="middle" colspan="3" align="center">0.105</td>
<td valign="middle" colspan="3" align="center">0.745</td>
<td valign="middle" colspan="3" align="center">136 (89.5)</td>
<td valign="middle" colspan="2" align="center">50 (89.3)</td>
<td valign="middle" colspan="3" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" colspan="2" align="center">139 (90.3)</td>
<td valign="middle" colspan="2" align="center">46 (86.8)</td>
<td valign="middle" colspan="2" align="center">0.201</td>
<td valign="middle" align="center">0.654</td>
<td valign="middle" colspan="2" align="center">28 (90.3)</td>
<td valign="middle" colspan="2" align="center">154 (89.0)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Lobular/Other</td>
<td valign="middle" colspan="3" align="center">15 (12.2)</td>
<td valign="middle" colspan="2" align="center">7 (9.6)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">16 (10.5)</td>
<td valign="middle" colspan="2" align="center">6 (10.7)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">15 (9.7)</td>
<td valign="middle" colspan="2" align="center">7 (13.2)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">3 (9.7)</td>
<td valign="middle" colspan="2" align="center">19 (11.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Histological grade</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">I/II</td>
<td valign="middle" colspan="3" align="center">73 (63.5)</td>
<td valign="middle" colspan="2" align="center">41 (62.1)</td>
<td valign="middle" colspan="3" align="center">0.001</td>
<td valign="middle" colspan="3" align="center">0.982</td>
<td valign="middle" colspan="3" align="center">84 (60.4)</td>
<td valign="middle" colspan="2" align="center">38 (73.1)</td>
<td valign="middle" colspan="3" align="center">2.103</td>
<td valign="middle" align="center">0.147</td>
<td valign="middle" colspan="2" align="center">90 (64.3)</td>
<td valign="middle" colspan="2" align="center">31 (62.0)</td>
<td valign="middle" colspan="2" align="center">0.014</td>
<td valign="middle" align="center">0.907</td>
<td valign="middle" colspan="2" align="center">19 (67.9)</td>
<td valign="middle" colspan="2" align="center">101 (63.5)</td>
<td valign="middle" align="center">0.052</td>
<td valign="middle" align="center">0.820</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">III</td>
<td valign="middle" colspan="3" align="center">42 (36.5)</td>
<td valign="middle" colspan="2" align="center">25 (37.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">55 (39.6)</td>
<td valign="middle" colspan="2" align="center">14 (26.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">50 (35.7)</td>
<td valign="middle" colspan="2" align="center">19 (38.0)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">9 (32.1)</td>
<td valign="middle" colspan="2" align="center">58 (36.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">8</td>
<td valign="middle" colspan="2" align="center">7</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">13</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">14</td>
<td valign="middle" colspan="2" align="center">3</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">3</td>
<td valign="middle" colspan="2" align="center">14</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">ER status</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Negative</td>
<td valign="middle" colspan="3" align="center">94 (77.7)</td>
<td valign="middle" colspan="2" align="center">65 (94.2)</td>
<td valign="middle" colspan="3" align="center">7.612</td>
<td valign="middle" colspan="3" align="center">0.006</td>
<td valign="middle" colspan="3" align="center">124 (84.4)</td>
<td valign="middle" colspan="2" align="center">47 (85.5)</td>
<td valign="middle" colspan="3" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" colspan="2" align="center">125 (83.3)</td>
<td valign="middle" colspan="2" align="center">47 (92.2)</td>
<td valign="middle" colspan="2" align="center">1.739</td>
<td valign="middle" align="center">0.187</td>
<td valign="middle" colspan="2" align="center">24 (80.0)</td>
<td valign="middle" colspan="2" align="center">146 (86.4)</td>
<td valign="middle" align="center">0.401</td>
<td valign="middle" align="center">0.526</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Positive</td>
<td valign="middle" colspan="3" align="center">27 (22.3)</td>
<td valign="middle" colspan="2" align="center">4 (5.8)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">23 (15.6)</td>
<td valign="middle" colspan="2" align="center">8 (14.5)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">25 (16.7)</td>
<td valign="middle" colspan="2" align="center">4 (7.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6 (20.0)</td>
<td valign="middle" colspan="2" align="center">23 (13.6)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">2</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">5</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">PR status</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Negative</td>
<td valign="middle" colspan="3" align="center">100 (82.6)</td>
<td valign="middle" colspan="2" align="center">65 (94.2)</td>
<td valign="middle" colspan="3" align="center">4.176</td>
<td valign="middle" colspan="3" align="center">0.041</td>
<td valign="middle" colspan="3" align="center">127 (86.4)</td>
<td valign="middle" colspan="2" align="center">50 (90.9)</td>
<td valign="middle" colspan="3" align="center">0.394</td>
<td valign="middle" align="center">0.530</td>
<td valign="middle" colspan="2" align="center">130 (86.7)</td>
<td valign="middle" colspan="2" align="center">47 (92.2)</td>
<td valign="middle" colspan="2" align="center">0.631</td>
<td valign="middle" align="center">0.427</td>
<td valign="middle" colspan="2" align="center">26 (86.7)</td>
<td valign="middle" colspan="2" align="center">149 (88.2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Positive</td>
<td valign="middle" colspan="3" align="center">21 (17.4)</td>
<td valign="middle" colspan="2" align="center">4 (5.8)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">20 (13.6)</td>
<td valign="middle" colspan="2" align="center">5 (9.1)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">20 (13.3)</td>
<td valign="middle" colspan="2" align="center">4 (7.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4 (13.3)</td>
<td valign="middle" colspan="2" align="center">20 (11.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">2</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">5</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">HER-2 status</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Negative</td>
<td valign="middle" colspan="3" align="center">113 (93.4)</td>
<td valign="middle" colspan="2" align="center">59 (85.5)</td>
<td valign="middle" colspan="3" align="center">2.330</td>
<td valign="middle" colspan="3" align="center">0.127</td>
<td valign="middle" colspan="3" align="center">136 (92.5)</td>
<td valign="middle" colspan="2" align="center">45 (81.8)</td>
<td valign="middle" colspan="3" align="center">3.837</td>
<td valign="middle" align="center">0.050</td>
<td valign="middle" colspan="2" align="center">138 (92.0)</td>
<td valign="middle" colspan="2" align="center">43 (84.3)</td>
<td valign="middle" colspan="2" align="center">1.725</td>
<td valign="middle" align="center">0.189</td>
<td valign="middle" colspan="2" align="center">29 (96.7)</td>
<td valign="middle" colspan="2" align="center">150 (88.8)</td>
<td valign="middle" align="center">0.997</td>
<td valign="middle" align="center">0.318</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Positive</td>
<td valign="middle" colspan="3" align="center">8 (6.6)</td>
<td valign="middle" colspan="2" align="center">10 (14.5)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">11 (7.5)</td>
<td valign="middle" colspan="2" align="center">10 (18.2)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">12 (8.0)</td>
<td valign="middle" colspan="2" align="center">8 (15.7)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1 (3.3)</td>
<td valign="middle" colspan="2" align="center">19 (11.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">2</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">5</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">I</td>
<td valign="middle" colspan="3" align="center">26 (23.2)</td>
<td valign="middle" colspan="2" align="center">20 (27.4)</td>
<td valign="middle" colspan="3" align="center">4.964</td>
<td valign="middle" colspan="3" align="center">0.174</td>
<td valign="middle" colspan="3" align="center">37 (26.1)</td>
<td valign="middle" colspan="2" align="center">10 (18.2)</td>
<td valign="middle" colspan="3" align="center">3.340</td>
<td valign="middle" align="center">0.342</td>
<td valign="middle" colspan="2" align="center">41 (28.3)</td>
<td valign="middle" colspan="2" align="center">7 (13.7)</td>
<td valign="middle" colspan="2" align="center">5.642</td>
<td valign="middle" align="center">0.130</td>
<td valign="middle" colspan="2" align="center">6 (20.0)</td>
<td valign="middle" colspan="2" align="center">41 (25.0)</td>
<td valign="middle" align="center">6.445</td>
<td valign="middle" align="center">0.092</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">II</td>
<td valign="middle" colspan="3" align="center">62 (55.4)</td>
<td valign="middle" colspan="2" align="center">35 (47.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">75 (52.8)</td>
<td valign="middle" colspan="2" align="center">31 (56.4)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">71 (49.0)</td>
<td valign="middle" colspan="2" align="center">33 (64.7)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">15 (50.0)</td>
<td valign="middle" colspan="2" align="center">88 (53.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">III</td>
<td valign="middle" colspan="3" align="center">20 (17.9)</td>
<td valign="middle" colspan="2" align="center">10 (13.7)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">23 (16.2)</td>
<td valign="middle" colspan="2" align="center">8 (14.5)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">25 (17.2)</td>
<td valign="middle" colspan="2" align="center">7 (13.7)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">9 (30.0)</td>
<td valign="middle" colspan="2" align="center">23 (14.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">IV</td>
<td valign="middle" colspan="3" align="center">4 (3.6)</td>
<td valign="middle" colspan="2" align="center">8 (11.0)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">7 (4.9)</td>
<td valign="middle" colspan="2" align="center">6 (10.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">8 (5.5)</td>
<td valign="middle" colspan="2" align="center">4 (7.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">0 (0)</td>
<td valign="middle" colspan="2" align="center">12 (7.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">11</td>
<td valign="middle" colspan="2" align="center">0</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">10</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">9</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">9</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">PD-1</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&lt;10%</td>
<td valign="middle" colspan="3" align="center">13 (12.6)</td>
<td valign="middle" colspan="2" align="center">2 (3.0)</td>
<td valign="middle" colspan="3" align="center">8.907</td>
<td valign="middle" colspan="3" align="center">0.012</td>
<td valign="middle" colspan="3" align="center">13 (10.1)</td>
<td valign="middle" colspan="2" align="center">3 (6.8)</td>
<td valign="middle" colspan="3" align="center">0.670</td>
<td valign="middle" align="center">0.715</td>
<td valign="middle" colspan="2" align="center">14 (10.9)</td>
<td valign="middle" colspan="2" align="center">1 (2.3)</td>
<td valign="middle" colspan="2" align="center">3.730</td>
<td valign="middle" align="center">0.155</td>
<td valign="middle" colspan="2" align="center">4 (14.8)</td>
<td valign="middle" colspan="2" align="center">11 (7.7)</td>
<td valign="middle" align="center">1.839</td>
<td valign="middle" align="center">0.399</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">10%-50%</td>
<td valign="middle" colspan="3" align="center">67 (65.0)</td>
<td valign="middle" colspan="2" align="center">57 (85.1)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">92 (71.3)</td>
<td valign="middle" colspan="2" align="center">34 (77.3)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">89 (69.5)</td>
<td valign="middle" colspan="2" align="center">36 (81.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">17 (63.0)</td>
<td valign="middle" colspan="2" align="center">105 (73.9)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&#x2265;50%</td>
<td valign="middle" colspan="3" align="center">23 (22.3)</td>
<td valign="middle" colspan="2" align="center">8 (11.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">24 (18.6)</td>
<td valign="middle" colspan="2" align="center">7 (15.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">25 (19.5)</td>
<td valign="middle" colspan="2" align="center">7 (15.9)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6 (22.2)</td>
<td valign="middle" colspan="2" align="center">26 (18.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">20</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">23</td>
<td valign="middle" colspan="2" align="center">12</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">26</td>
<td valign="middle" colspan="2" align="center">9</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">31</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Ki-67 index</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&lt;14%</td>
<td valign="middle" colspan="3" align="center">23 (19.0)</td>
<td valign="middle" colspan="2" align="center">16 (23.5)</td>
<td valign="middle" colspan="3" align="center">0.302</td>
<td valign="middle" colspan="3" align="center">0.582</td>
<td valign="middle" colspan="3" align="center">30 (20.4)</td>
<td valign="middle" colspan="2" align="center">10 (18.2)</td>
<td valign="middle" colspan="3" align="center">0.024</td>
<td valign="middle" align="center">0.877</td>
<td valign="middle" colspan="2" align="center">34 (23.0)</td>
<td valign="middle" colspan="2" align="center">8 (15.4)</td>
<td valign="middle" colspan="2" align="center">0.917</td>
<td valign="middle" align="center">0.338</td>
<td valign="middle" colspan="2" align="center">9 (30.0)</td>
<td valign="middle" colspan="2" align="center">32 (19.0)</td>
<td valign="middle" align="center">1.252</td>
<td valign="middle" align="center">0.263</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&#x2265;14%</td>
<td valign="middle" colspan="3" align="center">98 (81.0)</td>
<td valign="middle" colspan="2" align="center">52 (76.5)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">117 (79.6)</td>
<td valign="middle" colspan="2" align="center">45 (81.8)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">114 (77.0)</td>
<td valign="middle" colspan="2" align="center">44 (84.6)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">21 (70.0)</td>
<td valign="middle" colspan="2" align="center">136 (81.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">2</td>
<td valign="middle" colspan="2" align="center">5</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">5</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Molecular type</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Non-TNBC</td>
<td valign="middle" colspan="3" align="center">62 (52.1)</td>
<td valign="middle" colspan="2" align="center">31 (46.3)</td>
<td valign="middle" colspan="3" align="center">0.373</td>
<td valign="middle" colspan="3" align="center">0.541</td>
<td valign="middle" colspan="3" align="center">67 (46.5)</td>
<td valign="middle" colspan="2" align="center">26 (48.1)</td>
<td valign="middle" colspan="3" align="center">0.002</td>
<td valign="middle" align="center">0.965</td>
<td valign="middle" colspan="2" align="center">75 (51.0)</td>
<td valign="middle" colspan="2" align="center">17 (33.3)</td>
<td valign="middle" colspan="2" align="center">4.077</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" colspan="2" align="center">17 (56.7)</td>
<td valign="middle" colspan="2" align="center">73 (44.0)</td>
<td valign="middle" align="center">1.176</td>
<td valign="middle" align="center">0.278</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">TNBC</td>
<td valign="middle" colspan="3" align="center">57 (47.9)</td>
<td valign="middle" colspan="2" align="center">36 (53.7)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">77 (53.5)</td>
<td valign="middle" colspan="2" align="center">28 (51.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">72 (49.0)</td>
<td valign="middle" colspan="2" align="center">34 (66.7)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">13 (43.3)</td>
<td valign="middle" colspan="2" align="center">93 (56.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">4</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">8</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">7</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="2" align="center">7</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">PD-L1 (tumor cells)</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&lt;1%</td>
<td valign="middle" colspan="3" align="center">73 (70.9)</td>
<td valign="middle" colspan="2" align="center">49 (75.4)</td>
<td valign="middle" colspan="3" align="center">0.213</td>
<td valign="middle" colspan="3" align="center">0.645</td>
<td valign="middle" colspan="3" align="center">90 (69.8)</td>
<td valign="middle" colspan="2" align="center">35 (83.3)</td>
<td valign="middle" colspan="3" align="center">2.316</td>
<td valign="middle" align="center">0.128</td>
<td valign="middle" colspan="2" align="center">97 (77.0)</td>
<td valign="middle" colspan="2" align="center">28 (62.2)</td>
<td valign="middle" colspan="2" align="center">2.962</td>
<td valign="middle" align="center">0.085</td>
<td valign="middle" colspan="2" align="center">20 (80.0)</td>
<td valign="middle" colspan="2" align="center">103 (71.5)</td>
<td valign="middle" align="center">0.403</td>
<td valign="middle" align="center">0.525</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&#x2265;1%</td>
<td valign="middle" colspan="3" align="center">30 (29.1)</td>
<td valign="middle" colspan="2" align="center">16 (24.6)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">39 (30.2)</td>
<td valign="middle" colspan="2" align="center">7 (16.7)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">29 (23.0)</td>
<td valign="middle" colspan="2" align="center">17 (37.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">5 (20.0)</td>
<td valign="middle" colspan="2" align="center">41 (28.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">20</td>
<td valign="middle" colspan="2" align="center">8</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">23</td>
<td valign="middle" colspan="2" align="center">14</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">28</td>
<td valign="middle" colspan="2" align="center">8</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">29</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">PD-L1(stromal cells)</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&lt;1%</td>
<td valign="middle" colspan="3" align="center">68 (66.0)</td>
<td valign="middle" colspan="2" align="center">35 (53.8)</td>
<td valign="middle" colspan="3" align="center">2.003</td>
<td valign="middle" colspan="3" align="center">0.157</td>
<td valign="middle" colspan="3" align="center">75 (58.6)</td>
<td valign="middle" colspan="2" align="center">28 (65.1)</td>
<td valign="middle" colspan="3" align="center">0.332</td>
<td valign="middle" align="center">0.565</td>
<td valign="middle" colspan="2" align="center">82 (65.1)</td>
<td valign="middle" colspan="2" align="center">19 (42.2)</td>
<td valign="middle" colspan="2" align="center">6.251</td>
<td valign="middle" align="center">0.012</td>
<td valign="middle" colspan="2" align="center">18 (72.0)</td>
<td valign="middle" colspan="2" align="center">81 (56.3)</td>
<td valign="middle" align="center">1.577</td>
<td valign="middle" align="center">0.209</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">&#x2265;1%</td>
<td valign="middle" colspan="3" align="center">35 (34.0)</td>
<td valign="middle" colspan="2" align="center">30 (46.2)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">53 (41.4)</td>
<td valign="middle" colspan="2" align="center">15 (34.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">44 (34.9)</td>
<td valign="middle" colspan="2" align="center">26 (57.8)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">7 (28.0)</td>
<td valign="middle" colspan="2" align="center">63 (43.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">20</td>
<td valign="middle" colspan="2" align="center">8</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">24</td>
<td valign="middle" colspan="2" align="center">13</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">28</td>
<td valign="middle" colspan="2" align="center">8</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">29</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Adjuvant radiotherapy</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">No</td>
<td valign="middle" colspan="3" align="center">80 (72.7)</td>
<td valign="middle" colspan="2" align="center">43 (61.4)</td>
<td valign="middle" colspan="3" align="center">2.029</td>
<td valign="middle" colspan="3" align="center">0.154</td>
<td valign="middle" colspan="3" align="center">101 (71.6)</td>
<td valign="middle" colspan="2" align="center">31 (59.6)</td>
<td valign="middle" colspan="3" align="center">2.012</td>
<td valign="middle" align="center">0.156</td>
<td valign="middle" colspan="2" align="center">102 (71.3)</td>
<td valign="middle" colspan="2" align="center">27 (55.1)</td>
<td valign="middle" colspan="2" align="center">3.654</td>
<td valign="middle" align="center">0.056</td>
<td valign="middle" colspan="2" align="center">16 (55.2)</td>
<td valign="middle" colspan="2" align="center">110 (68.8)</td>
<td valign="middle" align="center">1.471</td>
<td valign="middle" align="center">0.225</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="3" align="center">30 (27.3)</td>
<td valign="middle" colspan="2" align="center">27 (38.6)</td>
<td valign="middle" colspan="3" align="center"/>
<td valign="middle" colspan="3" align="center"/>
<td valign="middle" colspan="3" align="center">40 (28.4)</td>
<td valign="middle" colspan="2" align="center">21 (40.4)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">41 (28.7)</td>
<td valign="middle" colspan="2" align="center">22 (44.9)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">13 (44.8)</td>
<td valign="middle" colspan="2" align="center">50 (31.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">13</td>
<td valign="middle" colspan="2" align="center">3</td>
<td valign="middle" colspan="3" align="center"/>
<td valign="middle" colspan="3" align="center"/>
<td valign="middle" colspan="3" align="center">11</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">11</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">13</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Adjuvant chemotherapy</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">No</td>
<td valign="middle" colspan="3" align="center">17 (16.5)</td>
<td valign="middle" colspan="2" align="center">15 (24.6)</td>
<td valign="middle" colspan="3" align="center">1.121</td>
<td valign="middle" colspan="3" align="center">0.290</td>
<td valign="middle" colspan="3" align="center">25 (19.4)</td>
<td valign="middle" colspan="2" align="center">9 (18.8)</td>
<td valign="middle" colspan="3" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" colspan="2" align="center">27 (20.9)</td>
<td valign="middle" colspan="2" align="center">8 (17.0)</td>
<td valign="middle" colspan="2" align="center">0.131</td>
<td valign="middle" align="center">0.718</td>
<td valign="middle" colspan="2" align="center">7 (28.0)</td>
<td valign="middle" colspan="2" align="center">27 (18.2)</td>
<td valign="middle" align="center">0.745</td>
<td valign="middle" align="center">0.388</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="3" align="center">86 (83.5)</td>
<td valign="middle" colspan="2" align="center">46 (75.4)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">104 (80.6)</td>
<td valign="middle" colspan="2" align="center">39 (81.3)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">102 (79.1)</td>
<td valign="middle" colspan="2" align="center">39 (83.0)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">18 (72.0)</td>
<td valign="middle" colspan="2" align="center">121 (81.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">20</td>
<td valign="middle" colspan="2" align="center">12</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">23</td>
<td valign="middle" colspan="2" align="center">8</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">25</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">25</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Adjuvant endocrine therapy</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">No</td>
<td valign="middle" colspan="3" align="center">64 (58.7)</td>
<td valign="middle" colspan="2" align="center">45 (62.5)</td>
<td valign="middle" colspan="3" align="center">0.125</td>
<td valign="middle" colspan="3" align="center">0.723</td>
<td valign="middle" colspan="3" align="center">85 (61.2)</td>
<td valign="middle" colspan="2" align="center">35 (67.3)</td>
<td valign="middle" colspan="3" align="center">0.379</td>
<td valign="middle" align="center">0.538</td>
<td valign="middle" colspan="2" align="center">84 (59.2)</td>
<td valign="middle" colspan="2" align="center">35 (71.4)</td>
<td valign="middle" colspan="2" align="center">1.843</td>
<td valign="middle" align="center">0.175</td>
<td valign="middle" colspan="2" align="center">13 (48.1)</td>
<td valign="middle" colspan="2" align="center">106 (65.8)</td>
<td valign="middle" align="center">2.400</td>
<td valign="middle" align="center">0.121</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="3" align="center">45 (41.3)</td>
<td valign="middle" colspan="2" align="center">27 (37.5)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">54 (38.8)</td>
<td valign="middle" colspan="2" align="center">17 (32.7)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">58 (40.8)</td>
<td valign="middle" colspan="2" align="center">14 (28.6)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">14 (51.9)</td>
<td valign="middle" colspan="2" align="center">55 (34.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">14</td>
<td valign="middle" colspan="2" align="center">1</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="3" align="center">13</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">12</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4</td>
<td valign="middle" colspan="2" align="center">12</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="35" align="left">Adjuvant targeted therapy</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">No</td>
<td valign="middle" colspan="3" align="center">113 (96.6)</td>
<td valign="middle" colspan="2" align="center">68 (95.8)</td>
<td valign="middle" colspan="3" align="center">0</td>
<td valign="middle" colspan="4" align="center">1</td>
<td valign="middle" colspan="2" align="center">139 (95.9)</td>
<td valign="middle" colspan="2" align="center">53 (98.1)</td>
<td valign="middle" colspan="3" align="center">0.120</td>
<td valign="middle" align="center">0.730</td>
<td valign="middle" colspan="2" align="center">144 (97.3)</td>
<td valign="middle" colspan="2" align="center">48 (94.1)</td>
<td valign="middle" colspan="2" align="center">0.387</td>
<td valign="middle" align="center">0.534</td>
<td valign="middle" colspan="2" align="center">29 (100.0)</td>
<td valign="middle" colspan="2" align="center">160 (95.8)</td>
<td valign="middle" align="center">0.337</td>
<td valign="middle" align="center">0.561</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="3" align="center">4 (3.4)</td>
<td valign="middle" colspan="2" align="center">3 (4.2)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="4" align="center">
</td>
<td valign="middle" colspan="2" align="center">6 (4.1)</td>
<td valign="middle" colspan="2" align="center">1 (1.9)</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">4 (2.7)</td>
<td valign="middle" colspan="2" align="center">3 (5.9)</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">0 (0)</td>
<td valign="middle" colspan="2" align="center">7 (4.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Missing</td>
<td valign="middle" colspan="3" align="center">6</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" colspan="4" align="center">
</td>
<td valign="middle" colspan="2" align="center">7</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="3" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
</tbody>
</table>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Characteristic</th>
<th valign="middle" colspan="4" align="center">Expression of TIGIT on stromal TILs</th>
<th valign="middle" colspan="4" align="center">Expression of TIGIT on TC</th>
<th valign="middle" colspan="4" align="center">CD155</th>
</tr>
<tr>
<th valign="middle" align="center">Low</th>
<th valign="middle" align="center">High</th>
<th valign="middle" rowspan="2" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">Low</th>
<th valign="middle" align="center">High</th>
<th valign="middle" rowspan="2" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">Low</th>
<th valign="middle" align="center">High</th>
<th valign="middle" rowspan="2" align="center">
<italic>&#x3c7;</italic>
<sup>2</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
</th>
</tr>
<tr>
<th valign="middle" align="center">(n=180)</th>
<th valign="middle" align="center">(n=37)</th>
<th valign="middle" align="center">(n=91)</th>
<th valign="middle" align="center">(n=119)</th>
<th valign="middle" align="center">(n=160)</th>
<th valign="middle" align="center">(n=53)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="13" align="left">Age</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;60</td>
<td valign="middle" align="center">114 (63.3)</td>
<td valign="middle" align="center">27 (73.0)</td>
<td valign="middle" align="center">0.865</td>
<td valign="middle" align="center">0.352</td>
<td valign="middle" align="center">62 (68.1)</td>
<td valign="middle" align="center">76 (63.9)</td>
<td valign="middle" align="center">0.249</td>
<td valign="middle" align="center">0.618</td>
<td valign="middle" align="center">104 (65.0)</td>
<td valign="middle" align="center">36 (67.9)</td>
<td valign="middle" align="center">0.049</td>
<td valign="middle" align="center">0.824</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;60</td>
<td valign="middle" align="center">66 (36.7)</td>
<td valign="middle" align="center">10 (27.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">29 (31.9)</td>
<td valign="middle" align="center">43 (36.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">56 (35.0)</td>
<td valign="middle" align="center">17 (32.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">TILs</th>
</tr>
<tr>
<td valign="middle" align="center">Low</td>
<td valign="middle" align="center">44 (27.3)</td>
<td valign="middle" align="center">8 (21.6)</td>
<td valign="middle" align="center">0.254</td>
<td valign="middle" align="center">0.614</td>
<td valign="middle" align="center">22 (30.1)</td>
<td valign="middle" align="center">29 (24.6)</td>
<td valign="middle" align="center">0.457</td>
<td valign="middle" align="center">0.499</td>
<td valign="middle" align="center">43 (27.7)</td>
<td valign="middle" align="center">4 (10.0)</td>
<td valign="middle" align="center">4.544</td>
<td valign="middle" align="center">0.033</td>
</tr>
<tr>
<td valign="middle" align="center">High</td>
<td valign="middle" align="center">117 (72.7)</td>
<td valign="middle" align="center">29 (78.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">51 (69.9)</td>
<td valign="middle" align="center">89 (75.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">112 (72.3)</td>
<td valign="middle" align="center">36 (90.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Histology</th>
</tr>
<tr>
<td valign="middle" align="center">Ductal</td>
<td valign="middle" align="center">160 (88.9)</td>
<td valign="middle" align="center">34 (91.9)</td>
<td valign="middle" align="center">0.061</td>
<td valign="middle" align="center">0.805</td>
<td valign="middle" align="center">84 (92.3)</td>
<td valign="middle" align="center">105 (88.2)</td>
<td valign="middle" align="center">0.552</td>
<td valign="middle" align="center">0.458</td>
<td valign="middle" align="center">137 (85.6)</td>
<td valign="middle" align="center">51 (96.2)</td>
<td valign="middle" align="center">3.356</td>
<td valign="middle" align="center">0.067</td>
</tr>
<tr>
<td valign="middle" align="center">Lobular/Other</td>
<td valign="middle" align="center">20 (11.1)</td>
<td valign="middle" align="center">3 (8.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">7 (7.7)</td>
<td valign="middle" align="center">14 (11.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">23 (14.4)</td>
<td valign="middle" align="center">2 (3.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Histological grade</th>
</tr>
<tr>
<td valign="middle" align="center">I/II</td>
<td valign="middle" align="center">105 (64.0)</td>
<td valign="middle" align="center">22 (64.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">44 (53.0)</td>
<td valign="middle" align="center">81 (74.3)</td>
<td valign="middle" align="center">8.495</td>
<td valign="middle" align="center">0.004</td>
<td valign="middle" align="center">98 (69.0)</td>
<td valign="middle" align="center">26 (50.0)</td>
<td valign="middle" align="center">5.171</td>
<td valign="middle" align="center">0.023</td>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">59 (36.0)</td>
<td valign="middle" align="center">12 (35.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">39 (47.0)</td>
<td valign="middle" align="center">28 (25.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">44 (31.0)</td>
<td valign="middle" align="center">26 (50.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">ER status</th>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">145 (83.3)</td>
<td valign="middle" align="center">36 (97.3)</td>
<td valign="middle" align="center">3.800</td>
<td valign="middle" align="center">0.051</td>
<td valign="middle" align="center">72 (81.8)</td>
<td valign="middle" align="center">102 (87.9)</td>
<td valign="middle" align="center">1.043</td>
<td valign="middle" align="center">0.307</td>
<td valign="middle" align="center">132 (84.6)</td>
<td valign="middle" align="center">45 (88.2)</td>
<td valign="middle" align="center">0.167</td>
<td valign="middle" align="center">0.683</td>
</tr>
<tr>
<td valign="middle" align="center">Positive</td>
<td valign="middle" align="center">29 (16.7)</td>
<td valign="middle" align="center">1 (2.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">16 (18.2)</td>
<td valign="middle" align="center">14 (12.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">24 (15.4)</td>
<td valign="middle" align="center">6 (11.9)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">PR status</th>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">148 (85.1)</td>
<td valign="middle" align="center">37 (100)</td>
<td valign="middle" align="center">4.999</td>
<td valign="middle" align="center">0.025</td>
<td valign="middle" align="center">73 (83.0)</td>
<td valign="middle" align="center">105 (90.5)</td>
<td valign="middle" align="center">1.938</td>
<td valign="middle" align="center">0.164</td>
<td valign="middle" align="center">136 (87.2)</td>
<td valign="middle" align="center">47 (92.2)</td>
<td valign="middle" align="center">0.507</td>
<td valign="middle" align="center">0.477</td>
</tr>
<tr>
<td valign="middle" align="center">Positive</td>
<td valign="middle" align="center">26 (14.9)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">15 (17.0)</td>
<td valign="middle" align="center">11 (9.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">20 (12.8)</td>
<td valign="middle" align="center">4 (7.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">HER-2 status</th>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">158 (90.8)</td>
<td valign="middle" align="center">32 (86.5)</td>
<td valign="middle" align="center">0.244</td>
<td valign="middle" align="center">0.621</td>
<td valign="middle" align="center">84 (95.5)</td>
<td valign="middle" align="center">101 (87.1)</td>
<td valign="middle" align="center">3.232</td>
<td valign="middle" align="center">0.072</td>
<td valign="middle" align="center">139 (89.1)</td>
<td valign="middle" align="center">46 (90.2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="center">Positive</td>
<td valign="middle" align="center">16 (9.2)</td>
<td valign="middle" align="center">5 (13.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4 (4.5)</td>
<td valign="middle" align="center">15 (12.9)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">17 (10.9)</td>
<td valign="middle" align="center">5 (9.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" align="center">40 (24.0)</td>
<td valign="middle" align="center">10 (27.0)</td>
<td valign="middle" align="center">0.205</td>
<td valign="middle" align="center">0.977</td>
<td valign="middle" align="center">23 (28.0)</td>
<td valign="middle" align="center">26 (22.2)</td>
<td valign="middle" align="center">1.729</td>
<td valign="middle" align="center">0.631</td>
<td valign="middle" align="center">36 (22.9)</td>
<td valign="middle" align="center">12 (26.1)</td>
<td valign="middle" align="center">6.427</td>
<td valign="middle" align="center">0.093</td>
</tr>
<tr>
<td valign="middle" align="center">II</td>
<td valign="middle" align="center">89 (53.3)</td>
<td valign="middle" align="center">19 (51.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">41 (50.0)</td>
<td valign="middle" align="center">65 (55.6)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">92 (58.6)</td>
<td valign="middle" align="center">20 (43.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">27 (16.2)</td>
<td valign="middle" align="center">6 (16.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">14 (17.1)</td>
<td valign="middle" align="center">17 (14.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">19 (12.1)</td>
<td valign="middle" align="center">12 (26.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">IV</td>
<td valign="middle" align="center">11 (6.6)</td>
<td valign="middle" align="center">2 (5.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4 (4.9)</td>
<td valign="middle" align="center">9 (7.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">10 (6.4)</td>
<td valign="middle" align="center">2 (4.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">PD-1</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;10%</td>
<td valign="middle" align="center">14 (9.7)</td>
<td valign="middle" align="center">2 (6.3)</td>
<td valign="middle" align="center">1.432</td>
<td valign="middle" align="center">0.489</td>
<td valign="middle" align="center">10 (14.5)</td>
<td valign="middle" align="center">5 (4.9)</td>
<td valign="middle" align="center">5.127</td>
<td valign="middle" align="center">0.077</td>
<td valign="middle" align="center">14 (10.1)</td>
<td valign="middle" align="center">3 (8.1)</td>
<td valign="middle" align="center">0.188</td>
<td valign="middle" align="center">0.910</td>
</tr>
<tr>
<td valign="middle" align="center">10%-50%</td>
<td valign="middle" align="center">102 (70.8)</td>
<td valign="middle" align="center">26 (81.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">46 (66.7)</td>
<td valign="middle" align="center">80 (77.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">98 (70.5)</td>
<td valign="middle" align="center">26 (70.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;50%</td>
<td valign="middle" align="center">28 (19.4)</td>
<td valign="middle" align="center">4 (12.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">13 (18.8)</td>
<td valign="middle" align="center">18 (17.5)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">27 (19.4)</td>
<td valign="middle" align="center">8 (21.6)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Ki-67 index</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;14%</td>
<td valign="middle" align="center">36 (20.8)</td>
<td valign="middle" align="center">8 (21.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">17 (19.3)</td>
<td valign="middle" align="center">24 (20.7)</td>
<td valign="middle" align="center">0.004</td>
<td valign="middle" align="center">0.948</td>
<td valign="middle" align="center">42 (27.3)</td>
<td valign="middle" align="center">1 (1.9)</td>
<td valign="middle" align="center">13.629</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;14%</td>
<td valign="middle" align="center">137 (79.2)</td>
<td valign="middle" align="center">29 (78.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">71 (80.7)</td>
<td valign="middle" align="center">92 (79.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">112 (72.7)</td>
<td valign="middle" align="center">51 (98.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Molecular type</th>
</tr>
<tr>
<td valign="middle" align="center">Non-TNBC</td>
<td valign="middle" align="center">82 (48.0)</td>
<td valign="middle" align="center">13 (36.1)</td>
<td valign="middle" align="center">1.236</td>
<td valign="middle" align="center">0.266</td>
<td valign="middle" align="center">33 (38.4)</td>
<td valign="middle" align="center">58 (50.9)</td>
<td valign="middle" align="center">2.608</td>
<td valign="middle" align="center">0.106</td>
<td valign="middle" align="center">81 (52.3)</td>
<td valign="middle" align="center">16 (32.0)</td>
<td valign="middle" align="center">5.438</td>
<td valign="middle" align="center">0.020</td>
</tr>
<tr>
<td valign="middle" align="center">TNBC</td>
<td valign="middle" align="center">89 (52.0)</td>
<td valign="middle" align="center">23 (63.9)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">53 (61.6)</td>
<td valign="middle" align="center">56 (49.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">74 (47.7)</td>
<td valign="middle" align="center">34 (68.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">PD-L1 (tumor cells)</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;1%</td>
<td valign="middle" align="center">104 (72.2)</td>
<td valign="middle" align="center">24 (77.4)</td>
<td valign="middle" align="center">0.136</td>
<td valign="middle" align="center">0.712</td>
<td valign="middle" align="center">48 (65.8)</td>
<td valign="middle" align="center">77 (78.6)</td>
<td valign="middle" align="center">2.874</td>
<td valign="middle" align="center">0.090</td>
<td valign="middle" align="center">103 (77.4)</td>
<td valign="middle" align="center">26 (61.9)</td>
<td valign="middle" align="center">3.216</td>
<td valign="middle" align="center">0.073</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;1%</td>
<td valign="middle" align="center">40 (27.8)</td>
<td valign="middle" align="center">7 (22.6)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">25 (34.2)</td>
<td valign="middle" align="center">21 (21.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">30 (22.6)</td>
<td valign="middle" align="center">16 (38.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">PD-L1 (stromal cells)</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;1%</td>
<td valign="middle" align="center">93 (64.6)</td>
<td valign="middle" align="center">12 (38.7)</td>
<td valign="middle" align="center">6.078</td>
<td valign="middle" align="center">0.014</td>
<td valign="middle" align="center">38 (52.1)</td>
<td valign="middle" align="center">63 (64.3)</td>
<td valign="middle" align="center">2.107</td>
<td valign="middle" align="center">0.147</td>
<td valign="middle" align="center">86 (64.7)</td>
<td valign="middle" align="center">19 (45.2)</td>
<td valign="middle" align="center">4.241</td>
<td valign="middle" align="center">0.040</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;1%</td>
<td valign="middle" align="center">51 (35.4)</td>
<td valign="middle" align="center">19 (61.3)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">35 (47.9)</td>
<td valign="middle" align="center">35 (35.7)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">47 (35.3)</td>
<td valign="middle" align="center">23 (54.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Adjuvant radiotherapy</th>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">115 (70.6)</td>
<td valign="middle" align="center">20 (55.6)</td>
<td valign="middle" align="center">2.391</td>
<td valign="middle" align="center">0.122</td>
<td valign="middle" align="center">63 (76.8)</td>
<td valign="middle" align="center">69 (62.2)</td>
<td valign="middle" align="center">4.039</td>
<td valign="middle" align="center">0.045</td>
<td valign="middle" align="center">98 (65.3)</td>
<td valign="middle" align="center">34 (70.8)</td>
<td valign="middle" align="center">0.278</td>
<td valign="middle" align="center">0.598</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">48 (29.4)</td>
<td valign="middle" align="center">16 (44.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">19 (23.2)</td>
<td valign="middle" align="center">42 (37.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">52 (34.7)</td>
<td valign="middle" align="center">14 (29.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Adjuvant chemotherapy</th>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">28 (18.4)</td>
<td valign="middle" align="center">9 (28.1)</td>
<td valign="middle" align="center">1.004</td>
<td valign="middle" align="center">0.316</td>
<td valign="middle" align="center">15 (18.5)</td>
<td valign="middle" align="center">18 (18.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">29 (21.3)</td>
<td valign="middle" align="center">5 (10.9)</td>
<td valign="middle" align="center">1.833</td>
<td valign="middle" align="center">0.176</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">124 (81.6)</td>
<td valign="middle" align="center">23 (71.9)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">66 (81.5)</td>
<td valign="middle" align="center">79 (81.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">107 (78.7)</td>
<td valign="middle" align="center">41 (89.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Adjuvant endocrine therapy</th>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">103 (63.2)</td>
<td valign="middle" align="center">23 (63.9)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">59 (72.8)</td>
<td valign="middle" align="center">63 (56.8)</td>
<td valign="middle" align="center">4.557</td>
<td valign="middle" align="center">0.033</td>
<td valign="middle" align="center">85 (57.0)</td>
<td valign="middle" align="center">38 (79.2)</td>
<td valign="middle" align="center">6.660</td>
<td valign="middle" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">60 (36.8)</td>
<td valign="middle" align="center">13 (36.1)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">22 (27.2)</td>
<td valign="middle" align="center">48 (43.2)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">64 (43.0)</td>
<td valign="middle" align="center">10 (20.8)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<th valign="middle" colspan="13" align="left">Adjuvant targeted therapy</th>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">164 (95.9)</td>
<td valign="middle" align="center">36 (100.0)</td>
<td valign="middle" align="center">0.530</td>
<td valign="middle" align="center">0.467</td>
<td valign="middle" align="center">85 (97.7)</td>
<td valign="middle" align="center">108 (95.6)</td>
<td valign="middle" align="center">0.179</td>
<td valign="middle" align="center">0.672</td>
<td valign="middle" align="center">149 (96.8)</td>
<td valign="middle" align="center">47 (94.0)</td>
<td valign="middle" align="center">0.204</td>
<td valign="middle" align="center">0.651</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">7 (4.1)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">2 (2.3)</td>
<td valign="middle" align="center">5 (4.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">5 (3.2)</td>
<td valign="middle" align="center">3 (6.0)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Survival analyses</title>
<p>The median follow-up was 10 years (95%CI:8.8-11.0). BC patients with low expression of CD155 had 10-year DFS and OS rates of 70.37% and 80.64%, respectively, which were significantly higher than those with high expression of CD155 (58.81% for DFS, <italic>p</italic> = 0.033; 58.24% for OS, <italic>p</italic> = 0.002, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Among patients with low TME infiltration of stromal TILs, the 10-year DFS and OS rates differed among different biomarker expression groups. For CD155, the rates were 56.49% and 62.70% in the low-expression group and 25.00% (<italic>p</italic> = 0.019) and 25.00% (<italic>p</italic> = 0.013) in the high-expression group, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Regarding TC CD96, the low expression group of patients had rates of 78.57% and 78.57%, while the high expression group of patients had rates of 42.21% (<italic>p</italic> = 0.029) and 50.73% (<italic>p</italic> = 0.098), respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Patients with low TIGIT expression on TC had 10-year DFS and OS rates of 38.89% and 42.11%, respectively, and the high expression group had 62.75% (<italic>p</italic> = 0.042) and 69.96% (<italic>p</italic> = 0.020), respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In patients with high TME infiltration of stromal TILs, patients with low expression of CD155 had 10-year DFS and OS rates of 75.19% and 86.89%, respectively, compared with 61.12% (<italic>p</italic> = 0.091) and 62.26% (<italic>p</italic> = 0.008) among those with high expression of CD155, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Additionally, patients with low expression of CD226 on stromal TILs had 10-year DFS and OS rates of 59.23% and 74.38%, respectively, whereas the 10-year rates of DFS and OS were 83.04% (<italic>p</italic> = 0.057) and 89.58% (<italic>p</italic> = 0.120) among patients with high expression, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan-Meier curve of the relationship between molecular expression of CD155-TIGIT/CD226/CD96 and prognosis, <bold>(A)</bold> CD155 expression and DFS, <bold>(B)</bold> CD155 expression and OS, <bold>(C)</bold> TIGIT expression on stromal TILs and DFS, <bold>(D)</bold> TIGIT expression on stromal TILs and OS, <bold>(E)</bold> TIGIT expression on tumor cells and DFS, <bold>(F)</bold> TIGIT expression on tumor cells and OS, <bold>(G)</bold> CD226 expression on stromal TILs and DFS, <bold>(H)</bold> CD226 expression on stromal TILs and OS, <bold>(I)</bold> CD226 expression on tumor cells and DFS, <bold>(J)</bold> CD226 expression on tumor cells and OS, <bold>(K)</bold> CD96 expression on stromal TILs and DFS, <bold>(L)</bold>. CD96 expression on stromal TILs and OS, <bold>(M)</bold>. CD96 expression on tumor cells and DFS, <bold>(N)</bold>. CD96 expression on tumor cells and OS. TILs, Tumor- infiltrating lymphocytes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g002.tif">
<alt-text content-type="machine-generated"> Fourteen Kaplan-Meier survival curves labeled A to N, with blue and red lines representing high and low groups. P-values range from 0.0017 to 0.84. X-axis indicates months; y-axis indicates survival probability. Number at risk tables for each plot are included below the graphs.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier curve of the relationship between molecular expression and prognosis in the population with low level of TILs, <bold>(A)</bold>. CD155 expression and DFS, <bold>(B)</bold>. CD155 expression and OS, <bold>(C)</bold>. TIGIT expression on tumor cells and DFS, <bold>(D)</bold>. TIGIT expression on tumor cells and OS, <bold>(E)</bold>. CD96 expression on tumor cells and DFS, <bold>(F)</bold>. CD96 expression on tumor cells and OS. TILs, Tumor- infiltrating lymphocytes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g003.tif">
<alt-text content-type="machine-generated">Six Kaplan-Meier survival plots (A-F) showing survival analysis for various markers. Each plot includes a survival curve for low and high expression levels. Panels A and B show results for CD155 with p-values of 0.019 and 0.013, respectively. Panels C and D display results for TC_TIGIT, with p-values of 0.042 and 0.02. Panels E and F show TC_CD96 with p-values of 0.029 and 0.098. Each plot includes a &#x201c;Number at risk&#x201d; table for both expression levels over time.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Kaplan-Meier curve of the relationship between molecular expression and prognosis in the population with high level of TILs, <bold>(A)</bold>. CD155 expression and DFS, <bold>(B)</bold>. CD155 expression and OS, <bold>(C)</bold>. CD226 expression on stromal TILs and DFS, <bold>(D)</bold>. CD226 expression on stromal TILs and OS. TILs, Tumor- infiltrating lymphocytes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g004.tif">
<alt-text content-type="machine-generated">Four Kaplan-Meier survival curves illustrating disease-free and overall survival. Plots A and B display survival based on CD155 expression with p-values of 0.091 and 0.0079, respectively. Plots C and D show survival based on TILs_CD226 expression with p-values of 0.057 and 0.12. Each plot has a corresponding table showing the number of subjects at risk over time for low and high expression groups.</alt-text>
</graphic>
</fig>
<p>In all BC patients, high expression of CD155 increased 2.21-fold the risk of relapse (95%CI:1.18-4.13, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) and a 2.57-fold higher risk of death (95%CI:1.29-5.10, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). High expression of TC CD226 (HR = 1.79, 95%CI: 1.03-3.11), TC CD96 (HR = 2.65, 95%CI:1.09-6.44), and TIGIT on stromal TILs (HR = 2.06, 95%CI:1.02-4.14) were associated with an increased risk of relapse (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). However, high expression of TC TIGIT was associated with a 55% reduction in relapse risk (HR = 0.45, 95%CI:0.24-0.83, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) and a 68% reduction in death risk (HR = 0.32, 95%CI:0.16-0.66, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Among patients with low TME infiltration of stromal TILs, high expression of CD155 was associated with poor DFS (HR = 4.39, 95%CI:1.17-16.51, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) and OS (HR = 5.18, 95%CI:1.32-20.28, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). High TC CD96 expression (HR = 3.50, 95%CI: 1.01-12.21, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) was associated with unfavorable DFS, while high TC TIGIT expression was associated with favorable DFS (HR = 0.31, 95%CI:0.12-0.80, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) and OS (HR = 0.36, 95%CI: 0.14-0.94, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). In patients with high TME infiltration of stromal TILs, high expression of CD155 was associated with a 2.86-fold higher risk of death (HR = 2.86, 95%CI:1.10-7.42, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>) and high expression of TC CD226 was associated with a 2.29-fold high risk of relapse (HR = 2.29, 95%CI:1.10-4.76, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>) and a 2.56-fold higher risk of death (HR = 2.56, 95%CI: 1.07-6.11, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), while high expression of CD226 on stromal TILs was associated with a favorable DFS (HR = 0.38, 95%CI:0.16-0.89, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>) and OS (HR = 0.27, 95%CI:0.08-0.84, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Multivariate analysis of the association between CD155, CD226, TIGIT, and CD96 and DFS across different TILs subgroups, <bold>(A)</bold> total participants, <bold>(B)</bold> subgroup with low TME infiltration of TILs, <bold>(C)</bold> subgroup with high TME infiltration of TILs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g005.tif">
<alt-text content-type="machine-generated">Forest plot with three panels labeled A, B, and C, each containing multiple variables with p-values and hazard ratios presented with 95% confidence intervals. Horizontal lines and blue squares represent hazard ratios for each variable.</alt-text>
</graphic>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Multivariate analysis of the association between CD155, CD226, TIGIT, and CD96 and OS across different TILs subgroups, <bold>(A)</bold> total participants, <bold>(B)</bold> subgroup with low TME infiltration of TILs, <bold>(C)</bold> subgroup with high TME infiltration of TILs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1649078-g006.tif">
<alt-text content-type="machine-generated">Forest plots with hazard ratios for various variables across three panels labeled A, B, and C. Variables include CD155High, TIL, TC_CD226High, and age above sixty, among others. Each variable is associated with a p-value and a confidence interval. Blue squares indicate hazard ratios, with horizontal lines representing confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, CD155 was detected in BC TME TC, and CD226/TIGIT/CD96 was observed to be expressed on both BC stromal TILs and TME TC. The four immune checkpoint molecules were systematically evaluated for the first time to explore their association with the clinical characteristics and prognosis of patients with BC. Previous studies had confirmed the survival benefit of TILs and even the prediction of the response to neoadjuvant chemotherapy (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). TILs had been reported to be capable of guide treatment decisions (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), including ICI immunotherapy (<xref ref-type="bibr" rid="B21">21</xref>). The expression of CD155-TIGIT/CD226/CD96 on TC and TILs interacted with TME TILs to exhibit diverse prognostic effects on BC.</p>
<p>Similarly, many studies had reported the upregulation of CD155 and its correlation with age, disease stage, tumor size, molecular subtype, and other clinical characteristics of BC patients (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). The unfavorable prognostic effect of high CD155 expression was consistent with that reported by Yong et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>), Li et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>), Song (<xref ref-type="bibr" rid="B26">26</xref>)., Stamm H et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>), and Triki H et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>). Furthermore, a meta-analysis conducted by Zhang et&#xa0;al. (<xref ref-type="bibr" rid="B29">29</xref>) showed an unfavorable effect of CD155 on BC prognosis (pooled HR = 2.137, 95%CI:1.448-3.154). Additionally, CD155 had been confirmed to be linked to the invasion and migration of BC cells, and its downregulation could induce apoptosis of BC cells (<xref ref-type="bibr" rid="B30">30</xref>). A recent study demonstrated that fucosylated-CD155 secreted by brain metastasis-associated fibroblasts might regulate intercellular junctions and actin cytoskeleton signaling to enhance BC invasion (<xref ref-type="bibr" rid="B31">31</xref>). Asynchronous blocking of PD-L1 and CD155 with polymer nanoparticles had been found to inhibit the progression and metastasis of TNBC (<xref ref-type="bibr" rid="B32">32</xref>). CD155 had great potential as a novel immunotherapeutic target in BC.</p>
<p>TIGIT is mainly expressed on immune cells, directly inhibits the immune response by activating immune cells, and indirectly inhibits the anti-tumor response by binding to CD155 (<xref ref-type="bibr" rid="B8">8</xref>). This study indicated that TIGIT expression was upregulated in TME stromal TILs and TC in 17.1% and 56.7% of BC patients, respectively, which was consistent with the results found by Tang (<xref ref-type="bibr" rid="B33">33</xref>). This study discovered that BC patients with high TIGIT expression in TILs had shorter DFS than those with low TIGIT expression. However, Xie et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>) observed that the relationship between TIGIT expression in immune cells and OS was not statistically significant. The main reason for this disparity might be the small sample size of their study. In contrast, Boissiere-Michot et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>) considered that high TIGIT expression in stromal cells was associated with longer prognosis in non-molecular apocrine TNBC, possibly because TIGIT had different effects on prognosis in different molecular subtypes. It was necessary to further explore the prognostic value of TIGIT in BC from multiple perspectives to achieve personalized management in the future. In a study conducted by Luo (<xref ref-type="bibr" rid="B36">36</xref>). showed that the upregulation of TIGIT expression in cancer tissues among patients with invasive BC, had a trend of good prognosis, although the trend was not statistically significant. Although Song (<xref ref-type="bibr" rid="B26">26</xref>). confirmed that upregulated expression of TIGIT in BC tissues was related to poor prognosis (DFS: HR = 5.199, 95%CI:1.477-18.292), Zhang et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>) indicated no statistically significant (DFS: HR = 1.110, 95%CI:0.492-2.502) relationship between high TIGIT expression on TC and poor prognosis in TNBC. The inconsistent results observed between studies were related to the variable expression site of TILs or TC. TC-expressing TIGIT indicated a favorable prognosis, but TIL-expressing TIGIT indicated an unfavorable prognosis of BC. TIGIT is a co-inhibitory receptor of CD155 in malignant tumors. Synergistically blocking TIGIT and HIF-1&#x3b1; inhibited the growth and development of BC cells (<xref ref-type="bibr" rid="B38">38</xref>). Co-blocking of TIGIT and IL1&#x3b2; activated anti-tumor immunity, inhibited bone metastasis of BC, and improved the survival rate (<xref ref-type="bibr" rid="B39">39</xref>). Therefore, upregulation of TIGIT on TILs triggered an immune escape mechanism (<xref ref-type="bibr" rid="B40">40</xref>). Similarly, TIGIT might affect the proliferation or inhibit the growth of malignant TC. However, the underlying mechanism needed to be further confirmed.</p>
<p>CD96 was reported to be exclusively expressed on immune cells (<xref ref-type="bibr" rid="B9">9</xref>); however, this study verified that CD96 could be detected on both TILs and TC, and 84.8% of patients expressed high levels of CD96 on TC. High expression of CD96 on TC was related to shorter DFS than low expression, especially among patients with low TME infiltration of TILs, in line with the study performed by Li et.al (<xref ref-type="bibr" rid="B41">41</xref>). In another study conducted by Xu et.al (<xref ref-type="bibr" rid="B42">42</xref>). suggested that high tumoral CD96 expression was associated with a poor prognosis in gastric cancer. The cytoplasmic domain of CD96 contains a short alkaline/proline-rich motif and a single ITIM-like domain with a potential inhibitory function, as well as a YXXM motif with the potential to activate receptors (<xref ref-type="bibr" rid="B43">43</xref>). At the same time, bioinformatic analysis performed by Ye et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>). exhibited that CD96 played a vital but contradictory role in different cancers. These results indicated that the biological effects of CD96 were not limited to immune cells, and the signal transduction mechanism expressed on TC and immune cells of the BC TME still needed to be further explored.</p>
<p>CD226 is expressed in most tumors, and its high expression is associated with improved clinical outcomes (<xref ref-type="bibr" rid="B45">45</xref>). In BC, CD226 was significantly downregulated on the surface of CD56<sup>+</sup>CD16 <sup>+</sup>NK cells and CD56<sup>+</sup>CD16<sup>-</sup>NK cells (<xref ref-type="bibr" rid="B46">46</xref>), and high genetic expression was associated with good prognosis in BC patients with stage II and III, as well as Luminal B (<xref ref-type="bibr" rid="B47">47</xref>). However, these data revealed that high CD226 expression in TC and TILs was related to poor and better prognosis, respectively, in the population with more TILs. Nonetheless, two recently published studies showed a favorable prognosis for CD226 on immune cells of gastric cancer (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). CD226 is an activating receptor (<xref ref-type="bibr" rid="B50">50</xref>), and its expression on TILs&#xa0;might enhance the anti-tumor ability of TILs (<xref ref-type="bibr" rid="B51">51</xref>), whereas its expression on TC contributes to the immune escape ability&#xa0;of&#xa0;TC. The inconsistent prognostic effect of CD226 on stromal TILs&#xa0;and TC required basic studies to explore the underlying mechanism.</p>
<p>This study was the first to evaluate the expression of the CD155-CD226/TIGIT/CD96 protein complex in BC patients and its association with relapse and death. CD155 was reported as an immune checkpoint protein, CD226 as a co-stimulatory receptor of the immune checkpoint axis, and TIGIT and CD96 as co-inhibitory receptors of the immune checkpoint axis. Therefore, CD226 expression on immune cells indicated an increase in immune function and a favorable prognosis, whereas TIGIT expression on immune cells suppressed immune function and was related to an unfavorable prognosis. In contrast, CD226 expression on TC increased immune escape function and an unfavorable prognosis, but TIGIT expression on TC increased cell apoptosis and was associated with a favorable prognosis. CD96 expression on TC seemed to correlate with BC relapse, but the expression on immune cells did not seem to correlate with prognosis. However, these basic mechanisms required further investigation.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>CD155 expression was detected solely on TC, and the receptor expression of CD226/TIGIT/CD96 was detected in both TC and stromal TILs in the BC TME. High expression of CD155 indicates an unfavorable prognosis for BC. However, high expression of CD226/TIGIT/CD96 had diverse effects on BC prognosis, CD226 expression on TILs and TIGIT expression on TC correlated with favorable prognosis, and CD226 and CD96 expression on TC and TIGIT expression on TILs may be related to unfavorable prognosis. CD155-CD226/TIGIT/CD96 should be evaluated as a whole complex of immune checkpoint axis molecules to assess prognosis completely. For the diverse effect on prognosis, ICIs targeting the complex axis should check the tumoral and immune expression CD155-CD226/TIGIT/CD96 together.</p>
</sec>
</body>
<back>
<sec id="s6" 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="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board of Beijing Shijitan Hospital, Capital Medical University. Given the retrospective and de-identified nature of the studies, the aforementioned Institutional Review Board waived the requirement for written informed consent. The studies were conducted in accordance with local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XO: Software, Writing &#x2013; original draft, Data curation, Formal Analysis. JY: Data curation, Writing &#x2013; original draft. FS: Investigation, Writing &#x2013; original draft. YZ: Investigation, Writing &#x2013; original draft. QZ: Investigation, Writing &#x2013; original draft. KY: Investigation, Writing &#x2013; original draft. SL: Investigation, Writing &#x2013; original draft. JW: Investigation, Writing &#x2013; original draft. YL: Methodology, Writing &#x2013; original draft. QS: Methodology, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This research was funded by the Beijing Municipal Committee of Science and Technology (Z19110006619041), High Level Public Health Technical Talents Construction Project from the Beijing Municipal Health Commission (2022-2-025), and Beijing Hospital&#x2019;s Authority (XMLX202114). The supporting organizations had no role in the study design, data collection, analysis, or interpretation.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" 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>
<sec id="s13" 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.2025.1649078/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1649078/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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