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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2018.4551</article-id>
<article-id pub-id-type="publisher-id">ijo-53-05-2289</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>B7-H3 on circulating epithelial tumor cells correlates with the proliferation marker, Ki-67, and may be associated with the aggressiveness of tumors in breast cancer patients</article-title></title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Pizon</surname><given-names>Monika</given-names></name><xref ref-type="corresp" rid="c1-ijo-53-05-2289"/></contrib>
<contrib contrib-type="author">
<name><surname>Schott</surname><given-names>Dorothea Sonja</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Pachmann</surname><given-names>Ulrich</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Pachmann</surname><given-names>Katharina</given-names></name></contrib>
<aff id="af1-ijo-53-05-2289">Transfusion Center Bayreuth, D-95448 Bayreuth, Germany</aff></contrib-group>
<author-notes>
<corresp id="c1-ijo-53-05-2289">Correspondence to: Dr Monika Pizon, Transfusion Center Bayreuth, Kurpromenade 2, D-95448 Bayreuth, Germany, E-mail: <email>mpizon@simfo.de</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>11</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>04</day>
<month>09</month>
<year>2018</year></pub-date>
<volume>53</volume>
<issue>5</issue>
<fpage>2289</fpage>
<lpage>2299</lpage>
<history>
<date date-type="received">
<day>09</day>
<month>07</month>
<year>2018</year></date>
<date date-type="accepted">
<day>01</day>
<month>08</month>
<year>2018</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year></permissions>
<abstract>
<p>Circulating epithelial tumor cells (CETCs) in peripheral blood are a prerequisite for the development of metastases. B7-H3 is an important immune checkpoint member of the B7 family and inhibits T-cell mediated antitumor immunity. Its expression is associated with a negative prognosis and a poor clinical outcome. Based on the clinical success of inhibitory immune checkpoint blockade, monoclonal antibodies (mAbs) against B7-H3 appear to be a promising therapeutic strategy. The proliferation biomarker, Ki-67, is used as a prognostic factor for breast cancer and reflects the proliferative potential of the tumor. In order to better understand the role of B7-H3 and Ki-67 in cancer development, in this study, we used a real-time biopsy for determining both biomarkers on CETCs in breast cancer patients. Blood from 50 patients suffering from breast cancer was analyzed for CETCs and the expression of B7-H3 and Ki-67 using the maintrac<sup>&#x000AE;</sup> method. B7-H3 expression on CETCs was found in 82% of the patients. The frequency of B7-H3- and Ki-67-positive CETCs was significantly higher in patients who had received radiation therapy compared to patients who had not received irradiation. B7-H3-positive CETCs seemed to be more aggressive as the percentage of B7-H3-positive CETCs correlated with the percentage of cells positive for the proliferation marker, Ki-67 (r=0.72 P&lt;0.001). A significant association between the Ki-67 and B7-H3 expression level on the CETCs and nodal status was observed. On the whole, the findings of this study indicate that breast cancer patients have detectable CETCs with a high frequency of B7-H3 expression regardless of the stage of the disease. B7-H3 seems to be an important factor in immune evasion and may thus be a promising target for anticancer therapies. Radiation may lead to an upregulation of B7-H3 expression on CETCs, which could be a possible mechanism of acquired radio-resistance.</p></abstract>
<kwd-group>
<kwd>B7-H3</kwd>
<kwd>circulating epithelial tumor cells</kwd>
<kwd>Ki-67</kwd>
<kwd>breast cancer</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Breast cancer is the most frequently diagnosed malignancy in women (<xref rid="b1-ijo-53-05-2289" ref-type="bibr">1</xref>). Despite improved methods of early detection and diagnosis, as well as usually effective clinical management, breast cancer is the second leading cause of cancer-related mortality due to recurrent metastatic disease (<xref rid="b2-ijo-53-05-2289" ref-type="bibr">2</xref>). Of note, 90% of breast cancer-related deaths are not due to the primary tumor, but due to metastatic disease. Current models of metastasis support the hypothesis that cells can detach from the primary tumor and move to distant sites via the blood vessels and lymphatic system (<xref rid="b3-ijo-53-05-2289" ref-type="bibr">3</xref>). For this reason, new methods are necessary for the detection and treatment of the residual tumor cells in order to prevent metastasis (<xref rid="b4-ijo-53-05-2289" ref-type="bibr">4</xref>). A large number of studies have documented disseminated tumor cells in the bone marrow or circulating tumor cells in the peripheral blood from patients with most types of epithelial cancer (<xref rid="b5-ijo-53-05-2289" ref-type="bibr">5</xref>&#x02013;<xref rid="b10-ijo-53-05-2289" ref-type="bibr">10</xref>). The detection and characterization of tumor cells in the peripheral blood have various potential applications in oncology (<xref rid="b11-ijo-53-05-2289" ref-type="bibr">11</xref>). In the early stage of the disease, the enumeration and characterization of circulating tumor cells can potentially help to monitor the effect of systemic therapy, detect an early relapse of malignancy, predict the risk for metastatic disease and, thus, help to improve prognosis (<xref rid="b12-ijo-53-05-2289" ref-type="bibr">12</xref>,<xref rid="b13-ijo-53-05-2289" ref-type="bibr">13</xref>).</p>
<p>In the more advanced stages of the disease, circulating tumor cells may provide prognostic information and aid the physician in monitoring the response to treatment (<xref rid="b14-ijo-53-05-2289" ref-type="bibr">14</xref>,<xref rid="b15-ijo-53-05-2289" ref-type="bibr">15</xref>). Moreover, circulating tumor cells may represent characteristics of the residual tumor, inform about the sensitivity to anticancer drugs and, thus, can be used for a personalized anticancer therapy (<xref rid="b16-ijo-53-05-2289" ref-type="bibr">16</xref>). The phenotypic characterization of tumor cells circulating in the blood has the potential to improve the current understanding of metastasis formation and immune modulation. They can be used as a real-time liquid biopsy in a variety of human cancers and may play a major role in helping to administer a targeted therapy.</p>
<p>B7-H3 is a surface antigen against which a targeted therapy can be envisioned. It is a type I transmembrane protein and an important immune checkpoint member of the B7 ligand family, for which the receptor(s) have not yet been identified. Its expression is induced on immune cells, particularly antigen-presenting cells (<xref rid="b17-ijo-53-05-2289" ref-type="bibr">17</xref>). It is assumed that B7-H3 is involved in the inhibition of T-cells. On the other hand, it has been found that B7-H3 has also stimulatory immunological functions (<xref rid="b18-ijo-53-05-2289" ref-type="bibr">18</xref>,<xref rid="b19-ijo-53-05-2289" ref-type="bibr">19</xref>). B7-H3 protein has been detected in several cell lines (<xref rid="b18-ijo-53-05-2289" ref-type="bibr">18</xref>,<xref rid="b20-ijo-53-05-2289" ref-type="bibr">20</xref>) and numerous studies have described B7-H3 expression in human malignancies (<xref rid="b17-ijo-53-05-2289" ref-type="bibr">17</xref>,<xref rid="b21-ijo-53-05-2289" ref-type="bibr">21</xref>&#x02013;<xref rid="b27-ijo-53-05-2289" ref-type="bibr">27</xref>). Apart from immune evasion, B7-H3 plays a role in cancer progression, including invasion and migration, angiogenesis and gene regulation (<xref rid="b19-ijo-53-05-2289" ref-type="bibr">19</xref>). The proportion of the expression is associated with both a negative prognosis and a poor clinical outcome in patients (<xref rid="b17-ijo-53-05-2289" ref-type="bibr">17</xref>). The blocking immune checkpoints, such as CTLA-4, programmed cell death protein 1 (PD-1) and its ligand, PD-L1, has shown clinical benefit in patients with different tumor entities. Due to its comparable role in immune evasion, B7-H3 has become an interesting target for novel immunotherapeutic treatments (<xref rid="b17-ijo-53-05-2289" ref-type="bibr">17</xref>,<xref rid="b28-ijo-53-05-2289" ref-type="bibr">28</xref>&#x02013;<xref rid="b30-ijo-53-05-2289" ref-type="bibr">30</xref>).</p>
<p>Ki-67 (also known as MKI67) is a cellular marker that is tightly linked to the cell cycle. The fact that Ki-67 is universally expressed among proliferating cells and is absent in quiescent cells has led to the further evaluation of Ki-67 as a marker of proliferation (<xref rid="b31-ijo-53-05-2289" ref-type="bibr">31</xref>). Although little is known about the exact function of the protein in dividing cells, Ki-67 is expressed during the G1, S and G2 phases of the cell cycle with a peak during mitosis and it is absent in the G0 phase (<xref rid="b32-ijo-53-05-2289" ref-type="bibr">32</xref>,<xref rid="b33-ijo-53-05-2289" ref-type="bibr">33</xref>). There is a strong association between the proportion of Ki-67-positive cells and tumor size, aggressiveness, the level of angiogenesis and the survival of patients. Patients with breast cancer and a Ki-67 index &gt;15% have a poor prognosis associated with a shortened disease-free and overall survival (<xref rid="b34-ijo-53-05-2289" ref-type="bibr">34</xref>). On the other hand numerous studies indicate a positive correlation between the percentage of proliferating cells and the response to preoperative treatment with chemotherapy. The higher the level of Ki-67, the more pronounced the sensitivity of breast cancer to neoadjuvant therapy (<xref rid="b35-ijo-53-05-2289" ref-type="bibr">35</xref>). The detection of Ki-67 on circulating epithelial tumor cells (CETCs) may be clinically more informative than the examination of total CETC numbers as it allows for the quantification of proliferative and non-proliferative subpopulations among the CETCs.</p>
<p>The aim of this study was to evaluate B7-H3 and Ki-67 expression on CETCs in breast cancer patients which may contribute to a better understanding of the immune escape mechanisms of these cells. Identifying the proliferative subpopulation of CETCs may serve as a useful tool with which to predict the aggressiveness of cancer.</p></sec>
<sec sec-type="methods">
<title>Patients and methods</title>
<p>Peripheral blood (7.5 ml) from 50 breast cancer patients in different stages of disease was drawn into blood count tubes with ethylenediamine-tetra-acetic acid (EDTA) as an anticoagulant and processed within 48 h of collection. Medical records were reviewed for determination of ER/PR and HER2 status in the primary tumor or metastatic biopsy upon diagnosis. The primary tissue was processed in the corresponding hospitals according to the ASCO-CAP guidelines. In parallel, healthy control blood samples were collected from 12 male and 8 female donors aged between 20&#x02013;40 years. The sampling of peripheral blood was carried out 6&#x02013;12 weeks after the end of standard therapy (tumor resection, adjuvant chemotherapy and adjuvant radiotherapy). In patients with local or distant recurrence, blood was collected prior to the treatment for recurrent disease. All patients and healthy volunteers gave their informed consent to participate in the study, which was approved by the Ethics and Scientific Committees of the University of Jena (Jena, Germany).</p>
<p>For CETC enumeration and further characterization, the maintrac<sup>&#x000AE;</sup> approach was used, as reported previously (<xref rid="b36-ijo-53-05-2289" ref-type="bibr">36</xref>). Briefly, 1 ml blood was subjected to red blood cell lysis using 15 ml of erythrocyte lysis solution (Qiagen, Hilden, Germany) for 15 min at 4&#x000B0;C spun down at 700 &#x000D7; g and re-diluted in 500 ml of PBS-EDTA. Subsequently, 5 <italic>&#x000B5;</italic>l of fluoresceinisothiocyanate (FITC)-conjugated anti-human epithelial cell adhesion molecule antibody (EpCAM, dilution 1:4, clone HEA-125, cat. no. 130-113-203, Miltenyi Biotec GmbH, Bergisch Gladbach, Germany) at a final concentration of up to 10<sup>7</sup> cells/100 <italic>&#x000B5;</italic>l cell suspension were added and incubated for 15 min at 4&#x000B0;C. The corresponding isotypic control for EpCAM (Mouse IgG1K FITC, Miltenyi Biotec GmbH) was used at the same final concentration. The samples were subsequently diluted with 430 <italic>&#x000B5;</italic>l PBS-EDTA. A defined volume of the cell suspension and propidium iodide (PI; Sigma-Aldrich, St. Louis, MO, USA) was transferred to wells of ELISA plates (Greiner Bio-One, Monroe, NC, USA). The analysis of red and green fluorescence of the cells was performed using a Fluorescence Scanning Microscope, ScanR, (Olympus, Tokyo, Japan), enabling the detection and relocation of cells for the visual examination of EpCAM-positive cells. For data analysis, we used the ScanR Analysis software (Olympus). Vital CETCs were defined as EpCAM-positive cells, lacking in nuclear PI staining and with intact morphology, and only these cells were counted (<xref rid="f1-ijo-53-05-2289" ref-type="fig">Fig. 1</xref>). We used fluorospheres (Flow-Check 770, Beckman Coulter, Brea, CA, USA) for the daily verification of optical components and detectors of the microscope, which are required to ensure the consistent analysis of samples.</p>
<p>The analyses of B7-H3 and Ki-67 expression on the CETCs were performed with an extended maintrac<sup>&#x000AE;</sup> approach. For B7-H3 expression analysis, we used an anti-human B7-H3 phycoerythrin (PE)-conjugated antibody (dilution 1:10, clone MIH42, cat. no. 351002, BioLegend, San Diego, CA, USA) at a final concentration of 0.9 <italic>&#x000B5;</italic>g/ml and for Ki-67 we used an anti-human Ki-67 phycoerythrin (PE)-conjugated antibody (dilution 1:10, clone Ki-67, cat. no. 350503, BioLegend) at a final concentration of 0.1 <italic>&#x000B5;</italic>g/ml. The corresponding isotype controls for B7-H3 (Mouse IgG1 PE, cat. no. 400101, BioLegend) and Ki-67 (Mouse IgG1 PE, cat. no. 400111, BioLegend) were used at the same final concentration. Finally, the cells were visually inspected looking for a green and red surface staining, but also a well-preserved nucleus (<xref rid="f2-ijo-53-05-2289" ref-type="fig">Fig. 2</xref>). For excluding the expression of B7-H3/Ki-67 on hematopoetic cells, we additionally performed staining with EpCAM-FITC, B7-H3-PE/Ki-67-PE and CD45-Pacific blue (clone J.33, dilution 1:1, cat. no. A74763, Beckman Coulter, Krefeld, Germany) antibodies (<xref rid="f3-ijo-53-05-2289" ref-type="fig">Fig. 3</xref>). The results for B7-H3 and Ki-67 were calculated as a percentage of the total number of CETCs.</p>
<p>MCF-7 and Sk-Br-3 (data not shown) breast cancer cells, which were used as positive controls for Ki-67 analysis, were obtained from the CLS Cell Lines Service (Eppenheim, Germany). The Sk-Br-3 cell line was grown in Dulbecco&#x02019;s modified Eagle&#x02019;s medium with 4,5 g/l glucose, 2 mM L-glutamine (Gibco/Thermo Fisher Scientific, Waltham, MA, USA) and 10% FBS. The cells were maintained at 37&#x000B0;C in 5% CO<sub>2</sub>. The MCF-7 cells were grown in minimum essential medium Eagle ready-to-use medium (CLS Cell Lines Service). For immuno-fluorescence analysis, the cells were detached from the cell culture flasks using StemPro<sup>&#x000AE;</sup> Accutase<sup>&#x000AE;</sup> Cell Dissociation Reagent (Gibco/Thermo Fisher Scientific) washed and stained for Ki-67 with the same protocol as the patient samples (<xref rid="f4-ijo-53-05-2289" ref-type="fig">Fig. 4</xref>).</p>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the software programs SigmaPlot version 13.0 (Systat Software Inc., Chicago, IL, USA) for Windows. Comparisons between variables were performed using a Student t-test for normal distributed variables or Mann-Whitney Rank Sum Test for not normally distributed variables. Correlation analysis was carried out was calculated with Pearson&#x02019;s correlation coefficient. The significance level was set at P&lt;0.05.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<p>A total of 50 patients with histologically confirmed breast cancer were enrolled in this study. Out of these, 25 (50%) patients had T1; 8 (16%) patients had T2 and 11 (22%) patients had T3/4 tumor size. The primary tumors were histologically positive for estrogen receptor (ER) and progesterone receptor (PR) in 30 patients (60%) and positive for human epidermal growth factor receptor 2 (HER2) in 11 patients (22%). In total, 15 (30%) patients were in stage I; 8 (16%) were in stage II; 15 (30%) and 6 (12%) were in stage III and IV, respectively. The age of the patients ranged from 32 to 78 years (median, 59 years). The median number of CETCs was 145 per 100 <italic>&#x000B5;</italic>l of blood (range, 10&#x02013;1,760). Patients with triple-negative breast cancer (TNBC; n=7) had significantly more CETCs as compared to hormone receptor-positive patients (n=30; median 450 vs. 125; P&lt;0.01) (<xref rid="f5-ijo-53-05-2289" ref-type="fig">Fig. 5A</xref>). Additionally, patients with primary HER2-positive tumors (n=11) had significantly more CETCs as compared to patients with HER2-negative tumors (n=33; median 445 vs. 125; P&lt;0.05) (<xref rid="f5-ijo-53-05-2289" ref-type="fig">Fig. 5B</xref>). No statistically significant differences in CETC numbers were observed according to tumor size and lymph node/ distant-metastasis (<xref rid="tI-ijo-53-05-2289" ref-type="table">Table I</xref>). As a negative control, we tested blood samples from 20 healthy controls and confirmed that none of the samples were positive for CETCs (data not shown). B7-H3-positive CETCs were observed in 43 patients (86%). The percentage of B7-H3-positive CETCs ranged from 0 to 80% (median, 35%). An association between hormone receptor-status in primary tumors and the percentage of B7-H3-positive CETCs was observed. Patients (n=14) with tumor tissue negative for ER/PR had a significantly greater number of B7-H3-positive CETCs as compared to patients (n=30) with a positive ER/PR status (median 50% vs. 26%; P&lt;0.05) (<xref rid="f6-ijo-53-05-2289" ref-type="fig">Fig. 6A</xref>).</p>
<p>Ki-67-positive CETCs were detected in 45 patients (90%) and the percentage ranged from 0&#x02013;100 (median, 45%). Furthermore, the percentage of Ki-67-positive CETCs was significantly associated with the ER/PR and HER2 status in the primary tumor. Patients (n=14) with hormone receptor-negative tumors had a greater number of Ki-67-positive CETCs than patients with hormone receptor-positive tumors (n=30) (median, 56% vs. 35%; P&lt;0.05) (<xref rid="f6-ijo-53-05-2289" ref-type="fig">Fig. 6B</xref>). In addition, patients (n=11) with a HER2-positive primary tumor had a greater number of Ki-67-positive CETCs than patients (n=33) with a HER2-negative primary tumor (median, 63% vs. 38%; P&lt;0.05) (<xref rid="f6-ijo-53-05-2289" ref-type="fig">Fig. 6C</xref>). An association was observed between the percentage of Ki-67 positive CETCs and the lymph node status. Patients (n=23) with positive lymph nodes had a significantly greater number of Ki-67-positive CETCs than patients (n=21) with negative lymph nodes (median, 55% vs. 33%; P&lt;0.05) (<xref rid="f7-ijo-53-05-2289" ref-type="fig">Fig. 7A</xref>). Additionally an association was observed between the percentage of B7-H3-positive CETCs and the lymph node status (median, 46% vs. 26%; P&lt;0.01) (<xref rid="f7-ijo-53-05-2289" ref-type="fig">Fig. 7B</xref>).</p>
<p>Patients (n=22) who had received radiotherapy had a higher fraction of B7-H3- and Ki-67-positive CETCs as compared to patients (n=26) without radiotherapy (median B7-H3, 40% vs. 23%, P&lt;0.05; median Ki-67, 48% vs. 38%, P&lt;0.05) regardless of the radiation regimen (<xref rid="f8-ijo-53-05-2289" ref-type="fig">Fig. 8</xref>). Comparing the percentage of B7-H3-positive CETCs with the percentage of Ki-67-positive CETCs, both biomarkers significantly correlated with each other (r=0.721; P=0.001) (<xref rid="f9-ijo-53-05-2289" ref-type="fig">Fig. 9</xref>). Statistical analysis revealed that the highest association was observed between the percentage of B7-H3- and Ki-67-positive CETCs (P&lt;0.001) (<xref rid="f9-ijo-53-05-2289" ref-type="fig">Fig. 9</xref>), followed by lymph node positivity (P=0.013) (<xref rid="f7-ijo-53-05-2289" ref-type="fig">Fig. 7</xref>) and the administration of radiation (P=0.038) (<xref rid="f8-ijo-53-05-2289" ref-type="fig">Fig. 8A</xref>). All other parameters were not significant.</p>
<p>Subsequently, we evaluated and compared the percentage of B7-H3- and Ki-67-positive CETCs in 20 breast cancer patients by performing co-expression analysis. The co-expression of B7-H3 and Ki-67 was confirmed in 90% of patients. <xref rid="f10-ijo-53-05-2289" ref-type="fig">Fig. 10</xref> shows two typical cell galleries of CETCs from one patient which show that these cells have a parallel expression of both, B7-H3 and Ki-67 on their surface. The percentage of B7-H3-and Ki-67-positive CETCs ranged from 23&#x02013;75% with a median of 35% (data not shown).</p></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The analysis of circulating tumor cells is essential for understanding the vascular spread of cancer to distant sites and for being able to make use of these cells for real-time and non-invasive tumor monitoring. A number of techniques have been developed over the past 20 years to detect, isolate and characterize circulating tumor cells (<xref rid="b37-ijo-53-05-2289" ref-type="bibr">37</xref>). Circulating tumor cell analysis may play an important role as a &#x02018;liquid biopsy&#x02019;, which will allow physicians to follow changes of the systemic part of the disease over time, enabling adjustment of treatment and thus a promising new diagnostic tool for patients suffering from e.g., breast cancer (<xref rid="b36-ijo-53-05-2289" ref-type="bibr">36</xref>). The majority of the procedures have, however, been hampered by the paucity of these cells recovered by the different approaches particularly those using magnetic bead enrichment after a fixation step (<xref rid="b38-ijo-53-05-2289" ref-type="bibr">38</xref>), which impedes statistical analysis of the circulating tumor cells (<xref rid="b39-ijo-53-05-2289" ref-type="bibr">39</xref>). Apart from mere quantitative analysis, current research on circulating tumor cells is focusing on the identification of novel diagnostic and therapeutic biomarkers expressed by these cells, such as B7-H3 and Ki-67 on tumor cells circulating in the blood, which allows for the determination of the aggressiveness of the residual tumor load, and can thus contribute to the determination of prognosis. They reflect the biological properties of the remnant tumor left in the body after previous interventions, which are crucial for the further development of the disease and can provide starting points for targeted treatment.</p>
<p>The association between the total number of circulating tumor cells and immunohistochemistry in breast cancer is controversial. Punnoose <italic>et al</italic> reported lower numbers of circulating tumor cells in TNBC as compared to luminal subtypes (<xref rid="b40-ijo-53-05-2289" ref-type="bibr">40</xref>). By contrast, Peeters <italic>et al</italic> found no significant association between immunohistochemically defined subtypes and circulating tumor cell numbers, but very high cell counts of &gt;80 circulating tumor cells in 7.5 ml blood were found more frequently in patients with Luminal A and TNBC metastatic tumors (<xref rid="b41-ijo-53-05-2289" ref-type="bibr">41</xref>). In this study, using a non-enrichment approach, the number of CETCs was significantly higher in patients with TNBC consistent with the clinical findings that this type of tumor is more aggressive and has an increased potential to be invasive, to migrate and to metastasize. Additionally, we observed a significant difference in the absolute CETC count in patients with HER2-positive tumors who had higher CETC counts as compared to patients with HER2-negative tumors. Our results are contradictory to the results by Liu <italic>et al</italic> (<xref rid="b42-ijo-53-05-2289" ref-type="bibr">42</xref>) and Giordano <italic>et al</italic> (<xref rid="b43-ijo-53-05-2289" ref-type="bibr">43</xref>) who reported a lower circulating tumor cell count in HER2-positive subgroups. These discrepancies may be explained by the different methods used for the enumeration of circulating tumor cells.</p>
<p>Due to the growing interest in immunotherapy, the analysis of B7-H3 expression in the primary breast tumor and on the circulating tumor cells may be crucial. B7-H1, known as PD-L1, is one of the most studied targets in present clinical trials. There is a high homology between B7-H3 and B7-H1; therefore, the blockade of both these molecules is highly feasible (<xref rid="b17-ijo-53-05-2289" ref-type="bibr">17</xref>,<xref rid="b18-ijo-53-05-2289" ref-type="bibr">18</xref>). Different antibodies which inhibit B7-H3 are currently being investigated in clinical trials &#x0005B;e.g., 8H9: NCT01099644, NCT01502917, and NCT00089245; enoblituzumab (MGA271): NCT01391143&#x0005D; (<xref rid="b19-ijo-53-05-2289" ref-type="bibr">19</xref>). The present study was designed to demonstrate for the first time, at least to the best of our knowledge, B7-H3 expression in connection with Ki-67 on CETCs in patients with breast cancer. We were able to show that B7-H3 was expressed on a fraction of CETCs in the majority (82%) of breast cancer patients. Comparably, Maeda <italic>et al</italic> (<xref rid="b18-ijo-53-05-2289" ref-type="bibr">18</xref>) detected B7-H3 expression in 92% of breast cancer tissues at various levels and Sun <italic>et al</italic> found that B7-H3 expression was present in 80.55% of breast cancer tissues compared to 16.48% in normal breast tissues (<xref rid="b28-ijo-53-05-2289" ref-type="bibr">28</xref>). Arigami <italic>et al</italic> demonstrated a strong expression of B7-H3 in 39% of breast cancers and the expression was related to the progression of primary breast cancer to axillary lymph nodes (<xref rid="b30-ijo-53-05-2289" ref-type="bibr">30</xref>). In gastric cancer, Arigami <italic>et al</italic> found that B7-H3 expression can be a useful blood marker for predicting tumor progression (<xref rid="b44-ijo-53-05-2289" ref-type="bibr">44</xref>).</p>
<p>On the single cell level, on average of 30% of the CETCs expressed B7-H3 in our patient population. There is little data with respect to the expression of B7-H3 on circulating tumor cells in breast cancer patients and none regarding the extent of expression on these cells, at least to the best of our knowledge. Arigami <italic>et al</italic> (<xref rid="b30-ijo-53-05-2289" ref-type="bibr">30</xref>) only reported on mRNA expression for B7-H3, but this did not allow for the calculatation at the single tumor cell level.</p>
<p>This study suggests that B7-H3 expression in breast cancer is significantly higher in hormone receptor-negative patients, whereas Liu <italic>et al</italic> and Sun <italic>et al</italic> found no association between B7-H3 positivity in breast tumor tissue and ER or PR status, histological subtype or differentiation (<xref rid="b23-ijo-53-05-2289" ref-type="bibr">23</xref>,<xref rid="b45-ijo-53-05-2289" ref-type="bibr">45</xref>). The association between B7-H3 on CETCs and hormone receptor status may contribute to explain the worse prognosis of patients with hormone-negative tumors.</p>
<p>The proliferation biomarker, Ki-67, is established as a prognostic factor for breast cancer. The proportion of dividing cells reflects the proliferative potential of the tumor. The expression of Ki-67 in healthy breast tissue is very low (&lt;3%). By contrast, in breast cancer tissues, Ki-67 is often overexpressed (<xref rid="b33-ijo-53-05-2289" ref-type="bibr">33</xref>,<xref rid="b46-ijo-53-05-2289" ref-type="bibr">46</xref>). M&#x000FC;ller <italic>et al</italic> using the CellSearch approach reported no expression of Ki-67 in the circulating tumor cells detected in the 47 examined patients (<xref rid="b47-ijo-53-05-2289" ref-type="bibr">47</xref>). This may be due to the low frequency and low number of circulating tumor cells detected by their approach. By contrast, Spiliotaki <italic>et al</italic> (<xref rid="b48-ijo-53-05-2289" ref-type="bibr">48</xref>), using a different approach, found Ki-67 positive cells in 27.5% out of 40 circulating tumor cell positive patients. Kallergi <italic>et al</italic>, using the same approach as Spiliotaki <italic>et al</italic>, observed Ki-67 positive circulating tumor cells in 51.7 and 44% of patients with early and metastatic breast cancer, respectively (<xref rid="b49-ijo-53-05-2289" ref-type="bibr">49</xref>). In this study, we found positive staining for Ki-67 on the CETCs in 45 of 50 patients (90%). This difference may be explained by the different technologies used to detect circulating tumor cells.</p>
<p>Furthermore, we also found an association between a higher frequency of Ki-67-positive CETCs and a negative ER/PR and positive HER2 status. Similar results were observed in breast cancer tissue by Nishimura <italic>et al</italic>, where a higher Ki-67 index was significantly associated with a larger tumor, younger age, positive lymph nodes, a higher nuclear grade, a negative ER/PR status, p53 overexpression and a positive HER2 status (<xref rid="b50-ijo-53-05-2289" ref-type="bibr">50</xref>). In addition, they reported that a high Ki-67 index in breast cancer tissue was significantly associated with positive lymph nodes (<xref rid="b50-ijo-53-05-2289" ref-type="bibr">50</xref>). In this study, the expression of Ki-67 on CETCs was statistically significantly associated with a positive lymph node status. Furthermore, comparable to the findings of Arigami <italic>et al</italic>, the percentage of B7-H3-positive CETCs was significantly associated with a positive lymph node status (<xref rid="b30-ijo-53-05-2289" ref-type="bibr">30</xref>). Liu <italic>et al</italic> found an association between B7-H3 expression in tumor tissue and a positive lymph node metastasis (<xref rid="b45-ijo-53-05-2289" ref-type="bibr">45</xref>). B7-H3 overexpression in CETCs may thus be important for tumor progression and invasiveness.</p>
<p>Post-surgery adjuvant therapies, such as chemo- and radiotherapy are essential for patients with breast cancer; however, many patients suffer from local recurrence or metastasis. In this study, we observed that patients who have received radiotherapy had an upregulated expression of B7-H3 on CETCs. This may be due to inflammatory processes occurring during radiotherapy. Maeda <italic>et al</italic> demonstrated that B7-H3 was induced by inflammatory cytokines in dendritic cells and monocytes (<xref rid="b18-ijo-53-05-2289" ref-type="bibr">18</xref>). Additionally, Sun <italic>et al</italic> demonstrated that the stimulation of hepatocellular carcinoma cells with interferon-&#x003B3; <italic>in vitro</italic> led to a significant upregulation of B7-H3 expression (<xref rid="b51-ijo-53-05-2289" ref-type="bibr">51</xref>). Subsequent radiotherapy resistance observed in breast cancer patients may be due to the upregulation of B7-H3 in CETCs. Combination therapies with B7-H3 blockade may in the future be able to overcome radio-resistance. Of note, in this study, we found that not only B7-H3, but also Ki-67 were more highly expressed in the CETCs in patients who had received radiotherapy. Although there are data available about changes in Ki-67 index during radiotherapy in breast tumor tissue (<xref rid="b52-ijo-53-05-2289" ref-type="bibr">52</xref>), a comparison between tumor tissue and circulating tumor cells has not been made to date, at least to the best of our knowledge. It is well known that a high Ki-67 index in tumor tissue is associated with lower disease-free and overall survival rates in breast cancer (<xref rid="b50-ijo-53-05-2289" ref-type="bibr">50</xref>).</p>
<p>In samples with a &gt;50% fraction of B7-H3 expression and Ki-67 expression, a correlation between B7-H3 and Ki-67 can be assumed in individual CETCs. The exact physiological and pathological function of B7-H3 and particularly its role in the development and progression of human cancers remains unclear, as both stimulatory and inhibitory properties have been described (<xref rid="b53-ijo-53-05-2289" ref-type="bibr">53</xref>). B7-H3 may serve as an inhibitor of anti-tumor immunity. Thus, proliferation may induce B7-H3 and at the same time protect CETCs from destruction by self-reactive T lymphocytes. Understanding the mechanisms through which B7-H3 can be induced in and is association with the proliferation of CETCs may, in the future, contribute the designing of suitable drugs for breast cancer therapy.</p>
<p>The limitations of the study include the small patient sample size and the preponderance of patients in early stage of breast cancer. On the other hand, the possibility of detection of circulating tumor cells also in this patient population may be of advantage as they are still in a situation where a cure is possible.</p>
<p>In conclusion, the analysis of the properties of CETCs offers a low invasive, easy-to-repeat, real-time &#x02018;liquid biopsy&#x02019; approach, which reflects the actual aggressiveness of the tumor. Furthermore, we demonstrate for the first time, at least to the best of our knowledge, that B7-H3 and Ki-67 are expressed on the CETCs in patients with breast cancer. The B7-H3 pathway regulates the innate and adaptive immunity and promotes cancer cell aggressiveness through various immunological functions. Therefore it could become a unique and interesting target for future cancer immunotherapies.</p></sec></body>
<back>
<sec sec-type="other">
<title>Funding</title>
<p>No funding was received.</p></sec>
<sec sec-type="materials">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p></sec>
<sec sec-type="other">
<title>Authors&#x02019; contributions</title>
<p>MP and KP designed the study. MP and DSS performed the experiments. MP, DSS and UP analyzed the data. MP and DSS wrote the paper in consultation with KP and UP. All authors discussed the results and contributed to the final manuscript.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>All patients and healthy volunteers gave their informed consent to participate in the study, which was approved by the Ethics and Scientific Committees of the University of Jena (Jena, Germany).</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>Not applicable.</p></ack>
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<floats-group>
<fig id="f1-ijo-53-05-2289" position="float">
<label>Figure 1</label>
<caption>
<p>Illustrative images of live and dead CETCs. (A) The live CETCs with a green EpCAM surface staining, a well preserved morphology, but no red intracellular staining by PI are shown. EpCAM-fluorescence varies strongly between the individual cells. (B) Images representing dead CETCs exhibiting red intracellular staining by PI. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g00.tif"/></fig>
<fig id="f2-ijo-53-05-2289" position="float">
<label>Figure 2</label>
<caption>
<p>Illustrative CETC images of double antibody staining for (A) EpCAM (green) and B7-H3 (red) and (B) EpCAM (green) and Ki-67 (red). The yellow color is a result of the mixture of green and red due to co-expression at the same site of EpCAM and B7-H3 or Ki-67. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g01.tif"/></fig>
<fig id="f3-ijo-53-05-2289" position="float">
<label>Figure 3</label>
<caption>
<p>Fluorescence microscope images of (A) B7-H3- and (B) Ki-67-positive CETCs. CETC is positive for EpCAM, B7-H3 or Ki-67 and strictly negative for CD45. The yellow color is a result of the mixture of green and red due to co-expression at the same site of EpCAM and B7-H3 or Ki-67. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g02.tif"/></fig>
<fig id="f4-ijo-53-05-2289" position="float">
<label>Figure 4</label>
<caption>
<p>Two examples of Ki-67 staining on the MCF-7 cell line.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g03.tif"/></fig>
<fig id="f5-ijo-53-05-2289" position="float">
<label>Figure 5</label>
<caption>
<p>(A) Median number of CETCs in patients with triple-negative and hormone receptor-positive primary tumors; and (B) median number of CETCs in patients with HER2-positive and HER2-negative primary tumors. CETCs, circulating epithelial tumor cells; HER2, human epidermal growth factor receptor 2.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g04.tif"/></fig>
<fig id="f6-ijo-53-05-2289" position="float">
<label>Figure 6</label>
<caption>
<p>(A) The percentage of B7-H3-, and (B) Ki-67-positive CETCs in patients with HR-positive and HR-negative tumor tissues, and (C) the percentage of Ki-67-positive CETCs in patients with HER2-positive and HER2-negative primary tumors. CETCs, circulating epithelial tumor cells; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g05.tif"/></fig>
<fig id="f7-ijo-53-05-2289" position="float">
<label>Figure 7</label>
<caption>
<p>The percentage of (A) Ki-67-, and (B) B7-H3-positive CETCs in patients with positive and negative lymph nodes. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g06.tif"/></fig>
<fig id="f8-ijo-53-05-2289" position="float">
<label>Figure 8</label>
<caption>
<p>Percentage of (A) B7-H3-, and (B) Ki-67-positive CETCs in patients with and without radiotherapy. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g07.tif"/></fig>
<fig id="f9-ijo-53-05-2289" position="float">
<label>Figure 9</label>
<caption>
<p>Correlation between the frequency of B7-H3- and the frequency of Ki-67-positive CETCs. CETCs, circulating epithelial tumor cells.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g08.tif"/></fig>
<fig id="f10-ijo-53-05-2289" position="float">
<label>Figure 10</label>
<caption>
<p>Fluorescence co-localization of EpCAM (green), B7-H3 (red) and Ki-67 (blue) on the CETCs in two representative results from one patient.</p></caption>
<graphic xlink:href="IJO-53-05-2289-g09.tif"/></fig>
<table-wrap id="tI-ijo-53-05-2289" position="float">
<label>Table I</label>
<caption>
<p>Characteristics of cancer patients according to B7-H3 and Ki-67 expression.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Clinicopathological characteristics</th>
<th valign="top" align="right">Number of patients (%) with CETCs</th>
<th valign="top" align="right">P-value</th>
<th valign="top" align="right">Number of patients (%) with CETCs positive for B7-H3</th>
<th valign="top" align="right">P-value</th>
<th valign="top" align="right">Number of patients (%) with CETCs positive for Ki-67</th>
<th valign="top" align="right">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.164</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.745</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.583</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="top" align="right">10 (20)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">10 (23)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">9 (20)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;50</td>
<td valign="top" align="right">40 (80)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">33 (77)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">36 (80)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Tumor size</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.876</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.168</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.315</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1</td>
<td valign="top" align="right">25 (50)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">20 (47)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">21 (47)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T2</td>
<td valign="top" align="right">8 (16)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">7 (16)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">8 (18)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T3/4</td>
<td valign="top" align="right">11 (22)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">10 (23)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">10 (22)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Lymph node status</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.424</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.189</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">23 (46)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">21 (49)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">22 (49)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">21 (42)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">16 (37)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">17 (38)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Metastasis</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.253</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.616</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.568</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">38 (76)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">31 (72)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">33 (74)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">ER status</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.178</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">30 (60)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">23 (53)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">25 (56)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">14 (28)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">14 (33)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">14 (31)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">PR status</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.178</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">30 (60)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">23 (53)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">25 (56)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">14 (28)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">14 (33)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">14 (31)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">HER2 status</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.412</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive (2+/3+)</td>
<td valign="top" align="right">11 (22)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">10 (23)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">11 (25)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative (0/1+)</td>
<td valign="top" align="right">33 (66)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">27 (63)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">28 (62)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Stage</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.181</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.404</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.453</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I</td>
<td valign="top" align="right">15 (30)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">10 (23)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">11 (25)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;II</td>
<td valign="top" align="right">8 (16)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">8 (19)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">8 (18)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III</td>
<td valign="top" align="right">15 (30)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">13 (30)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">14 (31)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">6 (12)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (14)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">6 (13)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Radiotherapy</td>
<td valign="top" align="right"/>
<td valign="top" align="right">P=0.523</td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td>
<td valign="top" align="right"/>
<td valign="top" align="right"><bold>P&lt;0.05</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="right">22 (44)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">22 (51)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">22 (49)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="right">26 (52)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">19 (44)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">21 (47)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;n.a.</td>
<td valign="top" align="right">2 (4)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">2 (5)</td>
<td valign="top" align="right"/>
<td valign="top" align="right">2 (4)</td>
<td valign="top" align="right"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-53-05-2289">
<p>Bold print denotes the statistically significant P-values.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
