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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.68.e168480</article-id>
      <article-id pub-id-type="publisher-id">168480</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Chemistry &amp; biophysics</subject>
          <subject>Immunology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title><italic>CXCL8</italic> and <italic>CXCR4</italic> expression in synchronous bone metastasis in nasopharyngeal cancer</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Cahyanur</surname>
            <given-names>Rahmat</given-names>
          </name>
          <email xlink:type="simple">rahmat.cahyanur01@ui.ac.id</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-6637-1769</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Irawan</surname>
            <given-names>Cosphiadi</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Rachmadi</surname>
            <given-names>Lisnawati</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Adham</surname>
            <given-names>Marlinda</given-names>
          </name>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Kamal</surname>
            <given-names>Achmad Fauzi</given-names>
          </name>
          <xref ref-type="aff" rid="A4">4</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Handoyo Utomo</surname>
            <given-names>Ahmad Rusdan</given-names>
          </name>
          <xref ref-type="aff" rid="A5">5</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Hardianti</surname>
            <given-names>Mardiah Suci</given-names>
          </name>
          <xref ref-type="aff" rid="A6">6</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Salamah</surname>
            <given-names>Thariqah</given-names>
          </name>
          <xref ref-type="aff" rid="A7">7</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Mansyur</surname>
            <given-names>Muchtaruddin</given-names>
          </name>
          <xref ref-type="aff" rid="A8">8</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Hematology Medical Oncology Division, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Hematology Medical Oncology Division, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/0116zj450</uri>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Department of Anatomical Pathology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Department of Anatomical Pathology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/0116zj450</uri>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Department of Ear, Nose, and Throat, Head and Neck Surgery, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Department of Orthopedics and Traumatology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/0116zj450</uri>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Department of Orthopedics and Traumatology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Department of Radiology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/0116zj450</uri>
      </aff>
      <aff id="A5">
        <label>5</label>
        <addr-line content-type="verbatim">Graduate School of Biomedical Sciences, Yarsi University, Jakarta, Indonesia</addr-line>
        <institution>Department of Community Medicine, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/0116zj450</uri>
      </aff>
      <aff id="A6">
        <label>6</label>
        <addr-line content-type="verbatim">Division of Hematology and Medical Oncology, Department of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia</addr-line>
        <institution>Yarsi University</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/03a8rwx10</uri>
      </aff>
      <aff id="A7">
        <label>7</label>
        <addr-line content-type="verbatim">Department of Radiology, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Division of Hematology and Medical Oncology, Department of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada</institution>
        <addr-line content-type="city">Yogyakarta</addr-line>
        <country>Indonesia</country>
        <uri content-type="ror">https://ror.org/03ke6d638</uri>
      </aff>
      <aff id="A8">
        <label>8</label>
        <addr-line content-type="verbatim">Department of Community Medicine, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital, Jakarta, Indonesia</addr-line>
        <institution>Department of Ear, Nose, and Throat, Head and Neck Surgery, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo General Hospital</institution>
        <addr-line content-type="city">Jakarta</addr-line>
        <country>Indonesia</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p><bold>Corresponding author</bold>: Rahmat Cahyanur, Division of Hematology and Medical Oncology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia—Cipto Mangunkusumo Hospital. Jl. Diponegoro No. 71, Jakarta, Indonesia.; Email: <email xlink:type="simple">rahmat.cahyanur01@ui.ac.id</email></p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>68</volume>
      <issue>2</issue>
      <elocation-id>e168480</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/494F4FC7-5814-5834-9146-B777CE9FE037">494F4FC7-5814-5834-9146-B777CE9FE037</uri>
      <history>
        <date date-type="received">
          <day>12</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>12</day>
          <month>01</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Rahmat Cahyanur, Cosphiadi Irawan, Lisnawati Rachmadi, Marlinda Adham, Achmad Fauzi Kamal, Ahmad Rusdan Handoyo Utomo, Mardiah Suci Hardianti, Thariqah Salamah, Muchtaruddin Mansyur</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Introduction</bold>: Nasopharyngeal cancer is the most common head-and-neck cancer in Indonesia. It occurs in the mucosal epithelium of the nasopharyngeal region. This study aimed to evaluate the role of gene expression in the occurrence of synchronous bone metastasis in nasopharyngeal cancer.</p>
        <p><bold>Materials and methods</bold>: This was a cross-sectional study of patients with nasopharyngeal cancer conducted at Cipto Mangunkusumo Hospital, Jakarta, from 2018 to 2023. Gene expression differences were assessed using NanoString technology, with genetic material extracted from paraffin-embedded tissue samples. The analysis used a fold-change value of 1.5 to −1.5 and an adjusted <italic>p</italic>-value (<italic>p</italic>-adj) of &lt;0.05.</p>
        <p><bold>Results</bold>: Ninety-five patients with nasopharyngeal cancer were included in the study. Most were male and the most common sites of bone metastasis were the vertebrae (70.2%), ribs and sternum (57.4%), and pelvis (27.7%). Most bone metastases were characterized by 2–5 lesions and were predominantly osteoblastic (71.4%). The <italic>CXCL8</italic> gene was downregulated to 0.29 (0.16–0.54, <italic>p</italic>-adj=0.009), while the <italic>CXCR4</italic> gene was upregulated to 1.45 (1.16–1.82, <italic>p</italic>-adj=0.049), in the group with bone metastasis compared to the group without metastasis. Among patients with only bone metastasis, the <italic>CXCR4</italic> gene showed a further increase in expression levels, up to 1.61 (1.25–2.07, <italic>p</italic>-adj=0.02).</p>
        <p><bold>Conclusions</bold>: The results of this study showed that out of the 80 genes, 2 genes play a role in primary bone metastasis. In the group with bone-involvement metastasis, <italic>CXCR4</italic> was upregulated and <italic>CXCL8</italic> was downregulated. In the bone-only metastasis group, only the <italic>CXCR4</italic> gene was found to be upregulated.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>
          <italic>CXCR4</italic>
        </kwd>
        <kwd>
          <italic>CXCL8</italic>
        </kwd>
        <kwd>nasopharyngeal cancer</kwd>
        <kwd>synchronous bone metastasis</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="sec1">
        <title>Citation</title>
        <p>Cahyanur R, Irawan C, Rachmadi L, Adham M, Kamal AF, Utomo ARH, Hardianti MS, Salamah T, Mansyur M. <italic>CXCL8</italic> and <italic>CXCR4</italic> expression in synchronous bone metastasis in nasopharyngeal cancer. Folia Med (Plovdiv) 2026;68(2):е168480. <ext-link ext-link-type="doi" xlink:href="10.3897/folmed.68.e168480">doi: 10.3897/folmed.68.e168480</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec2">
      <title>Introduction</title>
      <p>Nasopharyngeal cancer is a type of malignancy that occurs in the mucosal epithelium of the nasopharyngeal area, which is the region above the throat and behind the nose.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> The incidence of nasopharyngeal cancer is 1.2 per 100,000 people globally. In Indonesia, nasopharyngeal carcinoma is the most common form of head-and-neck cancer, accounting for 28.4% of cases. The mortality rate from nasopharyngeal cancer in Indonesia is the second highest in Asia, following that of China.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> The majority of nasopharyngeal cancer cases in Indonesia present at advanced or locally advanced stages (30.1% and 18.9%, respectively).<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup></p>
      <p>Metastasis refers to the spread of cancer from its primary site to distant organs, and it is the leading cause of cancer-related morbidity and mortality.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> The metastatic process involves multiple steps, including the detachment of cancer cells from the primary tumor, entry into the circulatory and lymphatic systems (intravasation), evasion of the immune system, extravasation through capillaries in organs, and proliferation within the target organ.<sup>[<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      <p>Studies have shown that metastasis is not solely related to tumor size. A study by Sopik et al.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> reported that, in breast cancer patients, the relationship between metastasis occurrence and tumor size is not linear. The occurrence of metastasis is also influenced by the biological characteristics of the tumor cell population, particularly the expression of specific genes that drive the metastatic process.<sup>[<xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref>]</sup> Several genes and proteins linked to bone metastasis, including <italic>CXCR4, RANK, RANKL, BMP2</italic>, osteopontin, <italic>PTHrP</italic>, <italic>CXCL8</italic>, and <italic>SRC</italic> have been reported to show increased expression levels in nasopharyngeal cancer. These proteins are encoded by the genes <italic>CXCR4</italic>, <italic>RANK</italic>, <italic>TNFSF11</italic>, <italic>BMP2</italic>, <italic>OPN</italic>, <italic>PTHLH</italic>, <italic>IL-8</italic>, and <italic>SRC</italic>, respectively. However, to date, the role of those genes and proteins with incident of synchronous bone metastasis (metastasis at initial diagnosis) in nasopharyngeal cancer have not been thoroughly investigated.<sup>[<xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B13">13</xref>]</sup></p>
      <p>Research on the pathomechanisms of bone metastasis in nasopharyngeal cancer is still limited. Gaining a deeper understanding of bone metastasis is crucial to inform potential future interventions and treatments. Identifying the key genes involved in bone metastasis could potentially prevent its occurrence by blocking the expression of these genes or the synthesis of related proteins in patients with nasopharyngeal cancer.</p>
    </sec>
    <sec sec-type="Aim" id="sec3">
      <title>Aim</title>
      <p>This study investigates the differentially expressed gene (<abbrev xlink:title="differentially expressed gene">DEG</abbrev>) analysis in synchronous bone metastasis in nasopharyngeal cancer. We expect there is significant <abbrev xlink:title="differentially expressed gene">DEG</abbrev> involvement in bone metastasis.</p>
    </sec>
    <sec sec-type="materials|methods" id="sec4">
      <title>Materials and methods</title>
      <p>This study was an analytical cross-sectional comparative study that evaluated the link between gene expression levels and synchronous bone metastasis in nasopharyngeal cancer. Conducted from January 2022 to March 2023, the study utilized paraffin blocks of nasopharynx at the Department of Anatomical Pathology and medical record data of nasopharyngeal cancer patients at Cipto Mangunkusumo General Hospital. Nucleic acid (mRNA) extraction from the paraffin blocks was performed in the laboratories of the Anatomical Pathology Department and NanoString technology was used to analyze gene expression in the Genetic Science. The inclusion criteria for this study were patients over the age of 18 with histopathological examination results showing nasopharyngeal cancer. The exclusion criteria were incomplete medical records, more than one primary cancer, or unavailable paraffin blocks. Bone metastasis was based on radiological results at initial diagnosis (CT scan, MRI, or PET CT). Bone metastasis categorized into two groups: bone-involvement metastasis along with other organs and bone-only metastasis.</p>
      <p>The demographic and clinical characteristics were analyzed using univariate analysis in SPSS 28. Gene expression analysis was performed using the nSolver<sup>®</sup> 4.0 application, and quality control checks on imaging quality and binding density were done for each sample.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup> Differentially expressed gene analysis was conducted to compare gene expression between groups. The reference genes used in the study were <italic>HPRT1</italic>, <italic>YARS</italic>, <italic>EIF3S7</italic>, <italic>PDCD1</italic>, <italic>PDCD1LG2</italic>, <italic>TIGIT</italic>, and <italic>TRAT1</italic>.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> This study examined 80 target genes selected by the researchers using a customized panel, along with nine negative control genes and six positive control genes (<bold>Table <xref ref-type="table" rid="T4">A1</xref></bold>). Results are presented in tables and volcano plots, with statistical significance defined as an adjusted <italic>p</italic> (<italic>p</italic>-adj) value of &lt;0.05. The adjusted <italic>p</italic>-value was calculated using the Benjamini-Hochberg method to reduce the false discovery rate in the <abbrev xlink:title="differentially expressed gene">DEG</abbrev> analysis.</p>
      <p>This study was approved by the Health Research Ethics Committee of the Faculty of Medicine, Universitas Indonesia (approval number KEDN158/UN2.F1/ETIK/PPM.00.02/2022).</p>
    </sec>
    <sec sec-type="Results" id="sec5">
      <title>Results</title>
      <p>A total of 95 subjects were included in this study, consisting of 64 subjects in the metastasis group and 31 subjects in the non-metastasis group. <bold>Table 1</bold> provides an overview of the demographic and clinical characteristics of the subjects, divided into the metastasis and non-metastasis groups.</p>
      <p>The majority of subjects, in both the non-metastasis and metastasis groups, had lymph node involvement, with rates of 90.3% and 98.4%, respectively. For subjects classified as N3, a larger proportion were in the non-T4 stage compared to the T4 stage (60.0% versus 40.0%). In the metastasis group, the proportion of subjects classified as N3 was greater, with 49 individuals (76.6%) compared to only 11 (35.5%) in the non-metastasis group. Most subjects with metastasis had involvement of only one organ, and the bone was the most common site of metastasis in 47 cases (73.4%).</p>
      <sec sec-type="Subject characteristics based on bone involvement and bone-only metastasis" id="sec6">
        <title>Subject characteristics based on bone involvement and bone-only metastasis</title>
        <p>Among the 64 subjects with metastatic lesions, 47 had bone-involvement metastasis and 17 did not have bone metastasis. The demographic and clinical characteristics of the study participants based on bone involvement and bone only metastasis are outlined in <bold>Table <xref ref-type="table" rid="T1">2</xref></bold>.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Distribution of subjects with bone-involvement and bone-only metastasis</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Subject characteristics</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Bone involvement  (n=47)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Bone-only metastasis (n=28)</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Age, average (years)</td>
                <td rowspan="1" colspan="1">47.29 (13.23)</td>
                <td rowspan="1" colspan="1">48.67 (13.66)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Sex Male, f (%) Female, f (%)</td>
                <td rowspan="1" colspan="1"> 35 (74.5) 12 (25.5)</td>
                <td rowspan="1" colspan="1"> 22 (78.6) 6 (21.4)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">T stage T1, f (%) T2, f (%) T3, f (%) T4, f (%)</td>
                <td rowspan="1" colspan="1"> 0 (0) 17 (36.2) 10 (21.3) 20 (42.6)</td>
                <td rowspan="1" colspan="1"> 0 (0) 10 (35.7) 6 (21.4) 12 (42.9)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">N stage N0, f (%) N1, f (%) N2, f (%) N3, f (%)</td>
                <td rowspan="1" colspan="1"> 1 (2.1) 1 (2.1) 9 (19.1) 36 (76.6)</td>
                <td rowspan="1" colspan="1"> 1 (3.6) 1(3.6) 5 (17.9) 21 (75.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Bone metastasis composition Bone, f (%)  Bone with other organs, f (%)</td>
                <td rowspan="1" colspan="1"> 28 (59.6) 19 (40.4)</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Bone metastatic sites (f=47) Axial Vertebra, f (%)  Costae dan sternum, f (%) Cranium, f (%) Appendicular Shoulder (scapula) , f (%) Clavicle, f (%) Humerus, f (%) Femur, f (%) Cruris, f (%) Pelvis, f (%)</td>
                <td rowspan="1" colspan="1">  33 (70.2) 27 (57.4) 8 (17.0)  6 (12.8) 3 (6.4) 3 (6.4) 9 (19.1) 2 (4.3) 13 (27.7)</td>
                <td rowspan="1" colspan="1">  17 (60.7) 19 (67.9) 4 (14.3)  5 (17.9) 3 (10.7) 2 (7.1) 4 (14.3) 1 (3.6) 5 (17.9)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Number of bone-metastatic sites 1 site, f (%) 2–5 sites, f (%) &gt;5 sites, f (%)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">  13 (46.4) 14 (50.0) 1 (3.6)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Type of bone metastasis Osteoblastic, f (%) Osteolytic, f (%) Mixed, f (%)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"> 20 (71.4) 6 (21.4) 2 (7.1)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Among subjects with bone-involvement metastasis, the most common locations were the vertebrae (70.2%), costae and/or sternum (57.4%), and pelvis (27.7%). Most of the subjects with bone metastases were in T4 and N3 stages, with 50.0% having 2–5 metastatic sites. Osteoblastic-type lesions were the most common, accounting for 71.4% of cases, as shown in <bold>Fig. <xref ref-type="fig" rid="F1">1</xref></bold>.</p>
        <fig id="F1">
          <object-id content-type="arpha">3DE0835A-5E95-5271-B592-A70026456C71</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Distribution metastasis site among subjects with bone involvement and bone only metastasis.</p>
          </caption>
          <graphic xlink:href="foliamedica-68-2-e168480-g001.jpg" id="oo_1612232.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1612232</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="DEGs among the bone-involvement and non-metastasis groups" id="sec7">
        <title>DEGs among the bone-involvement and non-metastasis groups</title>
        <p><abbrev xlink:title="differentially expressed gene">DEG</abbrev> analysis was performed by comparing gene expression levels in the bone-involvement metastasis group with the non-metastasis group (<bold>Table <xref ref-type="table" rid="T5">A2</xref></bold>). A comparison of the expression levels of the top 40 genes that differed between the two groups can be seen in the volcano plot in <bold>Fig. <xref ref-type="fig" rid="F2">2</xref>a</bold>. Based on the <abbrev xlink:title="differentially expressed gene">DEG</abbrev> analysis, the <italic>CXCL8</italic> gene was downregulated and the <italic>CXCR4</italic> gene was upregulated, as detailed in <bold>Table <xref ref-type="table" rid="T2">3</xref></bold>.</p>
        <fig id="F2">
          <object-id content-type="arpha">662EFF23-B38C-5234-B4A3-7F3934AB095E</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Volcano plots of differentially expressed genes (DEGs) between (<bold>a</bold>) subjects with bone-involvement metastasis and those without metastasis and (<bold>b</bold>) subjects with bone metastasis and those without metastasis.</p>
          </caption>
          <graphic xlink:href="foliamedica-68-2-e168480-g002.jpg" id="oo_1612233.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1612233</uri>
          </graphic>
        </fig>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 3.</label>
          <caption>
            <p>Gene expression in the group with bone involvement metastasis against the subjects non-metastasis</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Gene</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Fold Change (CI 95%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Adjusted <italic>p</italic> Value<italic>*</italic></bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <italic>CXCL8</italic>
                </td>
                <td rowspan="1" colspan="1">0.29 (0.16–0.54)</td>
                <td rowspan="1" colspan="1">
                  <bold>0.009</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <italic>CXCR4</italic>
                </td>
                <td rowspan="1" colspan="1">1.45 (1.16–1.82)</td>
                <td rowspan="1" colspan="1">
                  <bold>0.049</bold>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>*<italic>p</italic> value &lt;0.05, the Benjamini-Hochberg method</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="T3" position="float" orientation="portrait">
          <label>Table 4.</label>
          <caption>
            <p>Gene expression in the bone-only metastasis compared to the non-metastasis group</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Gene</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Fold change (CI 95%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Adjusted <italic>p</italic> value<italic>*</italic></bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <italic>CXCR4</italic>
                </td>
                <td rowspan="1" colspan="1">1.61 (1.25–2.07)</td>
                <td rowspan="1" colspan="1">
                  <bold>0.02</bold>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>*<italic>p</italic> value &lt;0.05, the Benjamini-Hochberg method</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="DEGs between the bone-only and non-metastasis groups" id="sec8">
        <title>DEGs between the bone-only and non-metastasis groups</title>
        <p><abbrev xlink:title="differentially expressed gene">DEG</abbrev> analysis was conducted by comparing subjects with only bone metastasis to those without metastasis (<bold>Table <xref ref-type="table" rid="T6">A3</xref></bold>). The volcano plot in <bold>Fig. <xref ref-type="fig" rid="F2">2</xref>b</bold> illustrates the comparison of the expression levels of the top 40 genes that differed between the two groups. The <italic>CXCR4</italic> gene was found to be upregulated in subjects with bone metastasis only, as shown in <bold>Table <xref ref-type="table" rid="T3">4</xref></bold>.</p>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="sec9">
      <title>Discussion</title>
      <sec sec-type="Subject characteristics" id="sec10">
        <title>Subject characteristics</title>
        <p>In this study, most subjects were male (75.8%), with an average age of 48 years at diagnosis. This finding is consistent with previous studies in Indonesia that have reported that nasopharyngeal carcinoma cases occur predominantly in males.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup> Adham et al.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> reported that men were 2.4 times more likely to be diagnosed with nasopharyngeal cancer than women. A significant portion of the subjects in this study (73.4%) had bone metastasis, followed by lung and liver metastasis. This aligns with previous reports suggesting that bone is the most frequently involved organ in nasopharyngeal cancer.<sup>[<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B19">19</xref>]</sup> Primary bone metastasis is the most common finding in patients who present with metastasis at the time of diagnosis, accounting for 64%–67% cases.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> Most subjects with bone metastasis were male, with metastases primarily located in the vertebrae (70.2%), costae and sternum (57.4%), and pelvis (27.7%). These findings correspond with a previous report stating that the thoracic and lumbar vertebrae, sternum, costae, ilium, and femur are the most common metastatic sites.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> This is associated with a greater presence of red bone marrow and more vascularization at those sites, which facilitate the homing of cancer cells.<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> The majority of primary bone metastasis lesions in this study were identified at 2–5 sites (50.0%). This aligns with previous studies showing that primary metastasis in nasopharyngeal cancer typically involves only one organ but with multiple lesions.<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup></p>
        <p>The most frequent type of bone metastasis lesion in this study was osteoblastic (71.4%). The radiological findings of this study, however, slightly differed from those of previous studies. In a study by Sham et al.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup> radiological images of bone metastasis in nasopharyngeal cancer showed lytic lesions (66%), mixed lesions (12.8%), and sclerotic lesions (21.2%). These differences likely stem from variations in criteria, as Sham et al.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup> defined bone metastasis as a radiological abnormality accompanied by pain resulting from the metastasis.</p>
      </sec>
      <sec sec-type="Gene expression" id="sec11">
        <title>Gene expression</title>
        <p>Analysis of DEGs found that <italic>CXCL8</italic> expression levels decreased, while <italic>CXCR4</italic> expression levels significantly increased in the group with bone metastasis involvement. When comparing between the bone-only metastasis group and the non-metastasis group, only <italic>CXCR4</italic> showed a significant difference gene expression.</p>
      </sec>
      <sec sec-type="CXCR4" id="sec12">
        <title>
          <italic>CXCR4</italic>
        </title>
        <p>The <italic>CXCR4</italic> gene is involved in adhesion, invasion, and the migration of cancer cells to bone<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup>, as seen in breast, nasopharyngeal, kidney, lung, prostate, pancreatic, and ovarian cancers and melanoma. Higher levels of <italic>CXCR4</italic> expression in NPC linked to tumor growth, angiogenesis, metastasis, and treatment resistance. Additionally, increased <italic>CXCR4</italic> expression levels are linked to epithelial-mesenchymal transition (EMT) in various types of cancer. In ovarian cancer, the upregulation of <italic>CXCR4</italic> is accompanied by increased expression levels of vimentin and snail, along with decreased expression levels of E-cadherin. EMT initiates metastasis, enabling cancer cells to migrate to other organs through the systemic circulation.<sup>[<xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B25">25</xref>]</sup></p>
        <p>The binding of <italic>CXCR4</italic> to its ligand, <italic>CXCL12</italic>, triggers a conformational change in the receptor molecule. This binding activates G proteins, leading to the conversion of GDP to GTP. The GTP molecule then binds to the α and βγ subunits, causing them to dissociate. The βγ subunit activates two signaling pathways: phospholipase C-β (PLC-β) and PI3K pathways. Meanwhile, the α subunit affects gene transcription and expression through the PI3K-AKT-NF-κB, MEK1/2, and ERK1/2 pathways.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup> As a result, various cellular changes occur, including an increase in intracellular calcium levels, gene transcription, chemotaxis, cell survival, and cell proliferation.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup></p>
        <p><italic>CXCR4</italic> expression has been linked to bone metastasis, especially in breast cancer.<sup>[<xref ref-type="bibr" rid="B26">26</xref>-<xref ref-type="bibr" rid="B29">29</xref>]</sup> The role of <italic>CXCR4</italic> in bone metastasis involves effects on the processes of cancer cell adhesion, invasion, and migration to the bone. Increased expression levels of <italic>CXCR4</italic> are linked to the development of bone metastases in breast cancer.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> The findings of this study also confirmed the role of <italic>CXCR4</italic> in bone metastasis in nasopharyngeal cancer.</p>
      </sec>
      <sec sec-type="CXCL8" id="sec13">
        <title>
          <italic>CXCL8</italic>
        </title>
        <p><italic>CXCL8</italic> is typically challenging to detect under physiological conditions.<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup> This chemokine plays a significant multifunctional role in modulating tumor proliferation, invasion, and migration through autocrine or paracrine signaling. The binding of <italic>CXCL8</italic> to CXCR1/2 activates intracellular signaling pathways that regulate angiogenesis and cell proliferation, migration, survival, invasion, and motility.<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup> Increased expression levels of <italic>CXCL8</italic> have been reported in nasopharyngeal cancer tissue.<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup></p>
        <p><italic>CXCL8</italic> has been shown to have different effects during the process of bone metastasis. Iguchi et al.<sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup> reported that in an in vivo study involving lung cancer cells, <italic>CXCL8</italic> has an inhibitory effect on the occurrence of bone metastasis. This effect arises from its inhibition of osteoclast resorption, which is a necessary initial step for bone metastasis to occur. Bone resorption allows cancer cells to penetrate the mineralized matrix within bone tissue. Other studies of breast cancer have shown that increased levels of IL-8 are associated with osteolytic bone metastasis due to heightened osteoclast formation and the stimulation of RANKL production through its binding to <italic>CXCR1</italic>.<sup>[<xref ref-type="bibr" rid="B34">34</xref>]</sup> A study of the role of IL-8 in multiple myeloma reported that increased <italic>CXCL8</italic> levels are linked to cell proliferation, osteoclast formation, and anti-apoptotic effects.<sup>[<xref ref-type="bibr" rid="B35">35</xref>-<xref ref-type="bibr" rid="B37">37</xref>]</sup> In this study, a decrease in <italic>CXCL8</italic> expression levels was observed in the group with bone-involvement metastasis. IL-8 promotes the maturation and differentiation of osteoclasts, thus enhancing bone resorption processes. The reduced expression levels of <italic>CXCL8</italic> shifts the balance of bone remodeling toward a dominance of osteoblastic activity.<sup>[<xref ref-type="bibr" rid="B34">34</xref>,<xref ref-type="bibr" rid="B38">38</xref>]</sup></p>
        <p>This study is the first to simultaneously evaluate the role of the expression levels of multiple genes by measuring mRNA levels in patients with nasopharyngeal cancer, specifically focusing on bone metastases. The study’s limitations included a retrospective design, small subgroup subjects, and a focus solely on the primary tumor by examining cancer cell gene expression levels without assessing the host microenvironment in metastases.</p>
      </sec>
    </sec>
    <sec sec-type="Conclusions" id="sec14">
      <title>Conclusions</title>
      <p>Bone is the most common site of synchronous metastasis in advanced nasopharyngeal cancer. In this study, the predominant type of bone-metastatic lesion was osteoblastic. In the group with bone-involvement metastasis, <italic>CXCR4</italic> was upregulated and <italic>CXCL8</italic> was downregulated when compared to the non-metastasis group. In the bone-only metastasis group, only the <italic>CXCR4</italic> gene was found to be upregulated compared to the non-metastasis group.</p>
    </sec>
    <sec sec-type="Ethical approval" id="sec15">
      <title>Ethical approval</title>
      <p>The Health Research Ethics Committee of the Faculty of Medicine at Universitas Indonesia approved this study (Approval No. KEDN158/UN2.F1/ETIK/PPM.00.02/2022).</p>
    </sec>
    <sec sec-type="Ethical statements" id="sec16">
      <title>Ethical statements</title>
      <p>The authors declared that no clinical trials were used in the present study.</p>
      <p>The authors declared that no experiments on humans or human tissues were performed for the present study.</p>
      <p>The authors declared that no informed consent was obtained from the humans, donors or donors’ representatives participating in the study.</p>
      <p>The authors declared that no experiments on animals were performed for the present study.</p>
      <p>The authors declared that no commercially available immortalized human and animal cell lines were used in the present study.</p>
    </sec>
    <sec sec-type="Conflict of interest" id="sec17">
      <title>Conflict of interest</title>
      <p>The authors have declared that no competing interests exist.</p>
    </sec>
    <sec sec-type="Use of AI" id="sec18">
      <title>Use of AI</title>
      <p>No use of AI was reported.</p>
    </sec>
    <sec sec-type="Funding" id="sec19">
      <title>Funding</title>
      <p>This work is supported by Penelitian Dasar Unggulan Perguruan Tinggi (PDUPT) Grant 2021–2022 No. NKB-130/UN2.RST/HKP.05.00/2021 and funded by the Ministry of Research and Technology of Republic of Indonesia, National Research, and Innovation Agency.</p>
    </sec>
    <sec sec-type="Author contributions" id="sec20">
      <title>Author contributions</title>
      <p>All authors have contributed equally.</p>
    </sec>
    <sec sec-type="Data availability" id="sec21">
      <title>Data availability</title>
      <p>The authors declare that all data utilized in this study have been referenced or included in the article itself. The data may be shared upon reasonable request.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>The authors would like to extend their gratitude to Joshua Kurnia Tandi, MD; Idzhar Arrizal, MD; Clareta Vero Patricia Widya, MD; Alfonsus Pramudita, MD; Harits Adi Putra, MD; Endang Farihatul Izza, MD; Pinky Nur Alfaini, MD; and Tasyaa Fillahihasanah, MD, for their assistance in data collection. Special thanks are also given to Mrs. Supriyati and Mrs. Indriana Karmila from the Department of Anatomical Pathology for providing the paraffin-embedded samples.</p>
    </ack>
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        <mixed-citation>Zhao M-N, Zhang L-F, Sun Z, et al. A novel microRNA-182/Interleukin-8 regulatory axis controls osteolytic bone metastasis of lung cancer. Cell Death Dis 2023; 14(5):298.</mixed-citation>
      </ref>
    </ref-list>
    <sec sec-type="Appendix" id="sec22">
      <title>Appendix</title>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table A1.</label>
        <caption>
          <p>Genes list</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Genes</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Class name</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>ADNP</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>AKT1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>APC</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>BRAF</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>Bmp2</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Bone sialoprotein (<italic>BSP</italic>)</td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CCL3</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CDH1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CDKN2A</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CK7</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CLDN4</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL18A1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL1A1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL1A2</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL3A1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL5A1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>COL5A2</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CTNNB1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CXCL12</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CXCL4</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>CaSR</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Ctgf</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>Cxcr4</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>DDR1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>DPYSL3</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>ESM1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>FN1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>HIF1A</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>IL1alfa</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>IL6</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>IL-11</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Il17</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Il18</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>IL-8</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>JAG1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>KRAS</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>LGR6</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>MET</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>METTL3</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>MLH1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>MUC16</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Mmp1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Mmp13</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Mmp2</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Mmp9</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NRAS</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>OPG</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>OPN</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PD-L1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PDGFbeta</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PIK3CA</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PPAR-g</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PTEN</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>PTHrP</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>RAN</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>RASSF1A</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>Rank</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>RankL</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Runx2</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>S100A14</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>SPINK6</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>SQSTM1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>STK11</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>SRC</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Endogenous</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TGFB</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TP53</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TRAF6</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TRIM29</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>VPS35</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>Vegf</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>WWP2</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>ZEB1</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>ciRS-7</italic>
              </td>
              <td rowspan="1" colspan="1">Endogenous</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>EIF3S7</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>HPRT1</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PDCD1</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>PDCD1LG2</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TIGIT</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>TRAT1</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>YARS</italic>
              </td>
              <td rowspan="1" colspan="1">Housekeeping</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_A</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_B</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_C</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_D</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_E</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_F</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_G</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>NEG_H</italic>
              </td>
              <td rowspan="1" colspan="1">Negative</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_A</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_B</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_C</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_D</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_E</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>POS_F</italic>
              </td>
              <td rowspan="1" colspan="1">Positive</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T5" position="float" orientation="portrait">
        <label>Table A2.</label>
        <caption>
          <p>DEGs bone involvement vs. non-metastasis</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Genes</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Log2 fold change</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Linear fold change</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>P-value</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>BH. p-value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">IL-8-mRNA</td>
              <td rowspan="1" colspan="1">−1.78</td>
              <td rowspan="1" colspan="1">0.292</td>
              <td rowspan="1" colspan="1">0.000161</td>
              <td rowspan="1" colspan="1">0.00901</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CXCR4-mRNA</td>
              <td rowspan="1" colspan="1">0.537</td>
              <td rowspan="1" colspan="1">1.45</td>
              <td rowspan="1" colspan="1">0.00178</td>
              <td rowspan="1" colspan="1">0.0498</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">KRAS-mRNA</td>
              <td rowspan="1" colspan="1">0.577</td>
              <td rowspan="1" colspan="1">1.49</td>
              <td rowspan="1" colspan="1">0.0186</td>
              <td rowspan="1" colspan="1">0.347</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL1A2-mRNA</td>
              <td rowspan="1" colspan="1">−0.8</td>
              <td rowspan="1" colspan="1">0.575</td>
              <td rowspan="1" colspan="1">0.0359</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL1A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.781</td>
              <td rowspan="1" colspan="1">0.582</td>
              <td rowspan="1" colspan="1">0.0525</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL18A1-mRNA</td>
              <td rowspan="1" colspan="1">0.388</td>
              <td rowspan="1" colspan="1">1.31</td>
              <td rowspan="1" colspan="1">0.069</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ESM1-mRNA</td>
              <td rowspan="1" colspan="1">0.546</td>
              <td rowspan="1" colspan="1">1.46</td>
              <td rowspan="1" colspan="1">0.0723</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL5A2-mRNA</td>
              <td rowspan="1" colspan="1">−0.612</td>
              <td rowspan="1" colspan="1">0.654</td>
              <td rowspan="1" colspan="1">0.0759</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL5A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.58</td>
              <td rowspan="1" colspan="1">0.669</td>
              <td rowspan="1" colspan="1">0.0783</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL3A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.65</td>
              <td rowspan="1" colspan="1">0.637</td>
              <td rowspan="1" colspan="1">0.0784</td>
              <td rowspan="1" colspan="1">0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp1-mRNA</td>
              <td rowspan="1" colspan="1">−0.803</td>
              <td rowspan="1" colspan="1">0.573</td>
              <td rowspan="1" colspan="1">0.0921</td>
              <td rowspan="1" colspan="1">0.469</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">HIF1A-mRNA</td>
              <td rowspan="1" colspan="1">−0.261</td>
              <td rowspan="1" colspan="1">0.835</td>
              <td rowspan="1" colspan="1">0.104</td>
              <td rowspan="1" colspan="1">0.484</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">AKT1-mRNA</td>
              <td rowspan="1" colspan="1">0.238</td>
              <td rowspan="1" colspan="1">1.18</td>
              <td rowspan="1" colspan="1">0.118</td>
              <td rowspan="1" colspan="1">0.498</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp9-mRNA</td>
              <td rowspan="1" colspan="1">−0.474</td>
              <td rowspan="1" colspan="1">0.72</td>
              <td rowspan="1" colspan="1">0.124</td>
              <td rowspan="1" colspan="1">0.498</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PIK3CA-mRNA</td>
              <td rowspan="1" colspan="1">−0.242</td>
              <td rowspan="1" colspan="1">0.845</td>
              <td rowspan="1" colspan="1">0.218</td>
              <td rowspan="1" colspan="1">0.786</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">RAN-mRNA</td>
              <td rowspan="1" colspan="1">0.193</td>
              <td rowspan="1" colspan="1">1.14</td>
              <td rowspan="1" colspan="1">0.235</td>
              <td rowspan="1" colspan="1">0.786</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CTNNB1-mRNA</td>
              <td rowspan="1" colspan="1">0.171</td>
              <td rowspan="1" colspan="1">1.13</td>
              <td rowspan="1" colspan="1">0.239</td>
              <td rowspan="1" colspan="1">0.786</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CDH1-mRNA</td>
              <td rowspan="1" colspan="1">0.275</td>
              <td rowspan="1" colspan="1">1.21</td>
              <td rowspan="1" colspan="1">0.282</td>
              <td rowspan="1" colspan="1">0.877</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CXCL12-mRNA</td>
              <td rowspan="1" colspan="1">0.467</td>
              <td rowspan="1" colspan="1">1.38</td>
              <td rowspan="1" colspan="1">0.302</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CLDN4-mRNA</td>
              <td rowspan="1" colspan="1">0.25</td>
              <td rowspan="1" colspan="1">1.19</td>
              <td rowspan="1" colspan="1">0.35</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">JAG1-mRNA</td>
              <td rowspan="1" colspan="1">−0.236</td>
              <td rowspan="1" colspan="1">0.849</td>
              <td rowspan="1" colspan="1">0.354</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp2-mRNA</td>
              <td rowspan="1" colspan="1">−0.352</td>
              <td rowspan="1" colspan="1">0.784</td>
              <td rowspan="1" colspan="1">0.394</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Il18-mRNA</td>
              <td rowspan="1" colspan="1">−0.355</td>
              <td rowspan="1" colspan="1">0.782</td>
              <td rowspan="1" colspan="1">0.402</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">FN1-mRNA</td>
              <td rowspan="1" colspan="1">−0.312</td>
              <td rowspan="1" colspan="1">0.806</td>
              <td rowspan="1" colspan="1">0.403</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PDGFbeta-mRNA</td>
              <td rowspan="1" colspan="1">0.177</td>
              <td rowspan="1" colspan="1">1.13</td>
              <td rowspan="1" colspan="1">0.409</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CDKN2A-mRNA</td>
              <td rowspan="1" colspan="1">−0.254</td>
              <td rowspan="1" colspan="1">0.839</td>
              <td rowspan="1" colspan="1">0.414</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">APC-mRNA</td>
              <td rowspan="1" colspan="1">0.535</td>
              <td rowspan="1" colspan="1">1.45</td>
              <td rowspan="1" colspan="1">0.442</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Vegf-mRNA</td>
              <td rowspan="1" colspan="1">−0.176</td>
              <td rowspan="1" colspan="1">0.885</td>
              <td rowspan="1" colspan="1">0.444</td>
              <td rowspan="1" colspan="1">0.888</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Rank-mRNA</td>
              <td rowspan="1" colspan="1">0.229</td>
              <td rowspan="1" colspan="1">1.17</td>
              <td rowspan="1" colspan="1">0.471</td>
              <td rowspan="1" colspan="1">0.91</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">OPN-mRNA</td>
              <td rowspan="1" colspan="1">−0.317</td>
              <td rowspan="1" colspan="1">0.803</td>
              <td rowspan="1" colspan="1">0.494</td>
              <td rowspan="1" colspan="1">0.922</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp13-mRNA</td>
              <td rowspan="1" colspan="1">0.203</td>
              <td rowspan="1" colspan="1">1.15</td>
              <td rowspan="1" colspan="1">0.565</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TGFB-mRNA</td>
              <td rowspan="1" colspan="1">0.0735</td>
              <td rowspan="1" colspan="1">1.05</td>
              <td rowspan="1" colspan="1">0.58</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Bmp2-mRNA</td>
              <td rowspan="1" colspan="1">0.161</td>
              <td rowspan="1" colspan="1">1.12</td>
              <td rowspan="1" colspan="1">0.589</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TP53-mRNA</td>
              <td rowspan="1" colspan="1">0.104</td>
              <td rowspan="1" colspan="1">1.07</td>
              <td rowspan="1" colspan="1">0.593</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ADNP-mRNA</td>
              <td rowspan="1" colspan="1">0.105</td>
              <td rowspan="1" colspan="1">1.08</td>
              <td rowspan="1" colspan="1">0.635</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ZEB1-mRNA</td>
              <td rowspan="1" colspan="1">0.25</td>
              <td rowspan="1" colspan="1">1.19</td>
              <td rowspan="1" colspan="1">0.651</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">DPYSL3-mRNA</td>
              <td rowspan="1" colspan="1">0.135</td>
              <td rowspan="1" colspan="1">1.1</td>
              <td rowspan="1" colspan="1">0.662</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SQSTM1-mRNA</td>
              <td rowspan="1" colspan="1">0.0669</td>
              <td rowspan="1" colspan="1">1.05</td>
              <td rowspan="1" colspan="1">0.666</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">WWP2-mRNA</td>
              <td rowspan="1" colspan="1">0.299</td>
              <td rowspan="1" colspan="1">1.23</td>
              <td rowspan="1" colspan="1">0.682</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TRIM29-mRNA</td>
              <td rowspan="1" colspan="1">−0.106</td>
              <td rowspan="1" colspan="1">0.929</td>
              <td rowspan="1" colspan="1">0.707</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PD-L1-mRNA</td>
              <td rowspan="1" colspan="1">−0.104</td>
              <td rowspan="1" colspan="1">0.931</td>
              <td rowspan="1" colspan="1">0.729</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">DDR1-mRNA</td>
              <td rowspan="1" colspan="1">−0.0701</td>
              <td rowspan="1" colspan="1">0.953</td>
              <td rowspan="1" colspan="1">0.735</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SRC-mRNA</td>
              <td rowspan="1" colspan="1">−0.166</td>
              <td rowspan="1" colspan="1">0.892</td>
              <td rowspan="1" colspan="1">0.759</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Ctgf-mRNA</td>
              <td rowspan="1" colspan="1">0.0951</td>
              <td rowspan="1" colspan="1">1.07</td>
              <td rowspan="1" colspan="1">0.782</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Runx2-mRNA</td>
              <td rowspan="1" colspan="1">0.106</td>
              <td rowspan="1" colspan="1">1.08</td>
              <td rowspan="1" colspan="1">0.815</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TRAF6-mRNA</td>
              <td rowspan="1" colspan="1">0.139</td>
              <td rowspan="1" colspan="1">1.1</td>
              <td rowspan="1" colspan="1">0.822</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">METTL3-mRNA</td>
              <td rowspan="1" colspan="1">0.0327</td>
              <td rowspan="1" colspan="1">1.02</td>
              <td rowspan="1" colspan="1">0.828</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">MLH1-mRNA</td>
              <td rowspan="1" colspan="1">−0.0313</td>
              <td rowspan="1" colspan="1">0.979</td>
              <td rowspan="1" colspan="1">0.84</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PTEN-mRNA</td>
              <td rowspan="1" colspan="1">−0.0198</td>
              <td rowspan="1" colspan="1">0.986</td>
              <td rowspan="1" colspan="1">0.883</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">RASSF1A-mRNA</td>
              <td rowspan="1" colspan="1">−0.0733</td>
              <td rowspan="1" colspan="1">0.95</td>
              <td rowspan="1" colspan="1">0.894</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">STK11-mRNA</td>
              <td rowspan="1" colspan="1">0.0639</td>
              <td rowspan="1" colspan="1">1.05</td>
              <td rowspan="1" colspan="1">0.918</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">BRAF-mRNA</td>
              <td rowspan="1" colspan="1">0.0419</td>
              <td rowspan="1" colspan="1">1.03</td>
              <td rowspan="1" colspan="1">0.938</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">VPS35-mRNA</td>
              <td rowspan="1" colspan="1">0.0387</td>
              <td rowspan="1" colspan="1">1.03</td>
              <td rowspan="1" colspan="1">0.939</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">S100A14-mRNA</td>
              <td rowspan="1" colspan="1">−0.0186</td>
              <td rowspan="1" colspan="1">0.987</td>
              <td rowspan="1" colspan="1">0.956</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">NRAS-mRNA</td>
              <td rowspan="1" colspan="1">0.0419</td>
              <td rowspan="1" colspan="1">1.03</td>
              <td rowspan="1" colspan="1">0.956</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CCL3-mRNA</td>
              <td rowspan="1" colspan="1">−0.0143</td>
              <td rowspan="1" colspan="1">0.99</td>
              <td rowspan="1" colspan="1">0.958</td>
              <td rowspan="1" colspan="1">0.958</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T6" position="float" orientation="portrait">
        <label>Table A3.</label>
        <caption>
          <p>DEGs bone only vs. non-metastasis<bold/></p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Gen</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Log2 fold change</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Linear fold change</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>P-value</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>BH. p-value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>CXCR4-mRNA</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>0.685</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>1.61</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>0.000357</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>0.02</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">IL-8-mRNA</td>
              <td rowspan="1" colspan="1">−1.31</td>
              <td rowspan="1" colspan="1">0.403</td>
              <td rowspan="1" colspan="1">0.012</td>
              <td rowspan="1" colspan="1">0.336</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CDH1-mRNA</td>
              <td rowspan="1" colspan="1">0.57</td>
              <td rowspan="1" colspan="1">1.48</td>
              <td rowspan="1" colspan="1">0.043</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ESM1-mRNA</td>
              <td rowspan="1" colspan="1">0.72</td>
              <td rowspan="1" colspan="1">1.65</td>
              <td rowspan="1" colspan="1">0.0487</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CLDN4-mRNA</td>
              <td rowspan="1" colspan="1">0.581</td>
              <td rowspan="1" colspan="1">1.5</td>
              <td rowspan="1" colspan="1">0.0491</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">AKT1-mRNA</td>
              <td rowspan="1" colspan="1">0.33</td>
              <td rowspan="1" colspan="1">1.26</td>
              <td rowspan="1" colspan="1">0.053</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CTNNB1-mRNA</td>
              <td rowspan="1" colspan="1">0.301</td>
              <td rowspan="1" colspan="1">1.23</td>
              <td rowspan="1" colspan="1">0.0629</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">KRAS-mRNA</td>
              <td rowspan="1" colspan="1">0.501</td>
              <td rowspan="1" colspan="1">1.42</td>
              <td rowspan="1" colspan="1">0.0685</td>
              <td rowspan="1" colspan="1">0.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL18A1-mRNA</td>
              <td rowspan="1" colspan="1">0.412</td>
              <td rowspan="1" colspan="1">1.33</td>
              <td rowspan="1" colspan="1">0.0902</td>
              <td rowspan="1" colspan="1">0.522</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">RAN-mRNA</td>
              <td rowspan="1" colspan="1">0.306</td>
              <td rowspan="1" colspan="1">1.24</td>
              <td rowspan="1" colspan="1">0.0933</td>
              <td rowspan="1" colspan="1">0.522</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL1A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.642</td>
              <td rowspan="1" colspan="1">0.641</td>
              <td rowspan="1" colspan="1">0.155</td>
              <td rowspan="1" colspan="1">0.703</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL1A2-mRNA</td>
              <td rowspan="1" colspan="1">−0.604</td>
              <td rowspan="1" colspan="1">0.658</td>
              <td rowspan="1" colspan="1">0.156</td>
              <td rowspan="1" colspan="1">0.703</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Rank-mRNA</td>
              <td rowspan="1" colspan="1">0.481</td>
              <td rowspan="1" colspan="1">1.4</td>
              <td rowspan="1" colspan="1">0.17</td>
              <td rowspan="1" colspan="1">0.703</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CXCL12-mRNA</td>
              <td rowspan="1" colspan="1">0.682</td>
              <td rowspan="1" colspan="1">1.6</td>
              <td rowspan="1" colspan="1">0.185</td>
              <td rowspan="1" colspan="1">0.703</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CDKN2A-mRNA</td>
              <td rowspan="1" colspan="1">−0.45</td>
              <td rowspan="1" colspan="1">0.732</td>
              <td rowspan="1" colspan="1">0.188</td>
              <td rowspan="1" colspan="1">0.703</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">DPYSL3-mRNA</td>
              <td rowspan="1" colspan="1">0.397</td>
              <td rowspan="1" colspan="1">1.32</td>
              <td rowspan="1" colspan="1">0.248</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL5A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.41</td>
              <td rowspan="1" colspan="1">0.753</td>
              <td rowspan="1" colspan="1">0.265</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TP53-mRNA</td>
              <td rowspan="1" colspan="1">0.241</td>
              <td rowspan="1" colspan="1">1.18</td>
              <td rowspan="1" colspan="1">0.267</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ADNP-mRNA</td>
              <td rowspan="1" colspan="1">0.253</td>
              <td rowspan="1" colspan="1">1.19</td>
              <td rowspan="1" colspan="1">0.308</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PDGFbeta-mRNA</td>
              <td rowspan="1" colspan="1">0.25</td>
              <td rowspan="1" colspan="1">1.19</td>
              <td rowspan="1" colspan="1">0.31</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL3A1-mRNA</td>
              <td rowspan="1" colspan="1">−0.415</td>
              <td rowspan="1" colspan="1">0.75</td>
              <td rowspan="1" colspan="1">0.313</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp1-mRNA</td>
              <td rowspan="1" colspan="1">−0.516</td>
              <td rowspan="1" colspan="1">0.699</td>
              <td rowspan="1" colspan="1">0.331</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">COL5A2-mRNA</td>
              <td rowspan="1" colspan="1">−0.369</td>
              <td rowspan="1" colspan="1">0.775</td>
              <td rowspan="1" colspan="1">0.335</td>
              <td rowspan="1" colspan="1">0.816</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Bmp2-mRNA</td>
              <td rowspan="1" colspan="1">0.302</td>
              <td rowspan="1" colspan="1">1.23</td>
              <td rowspan="1" colspan="1">0.351</td>
              <td rowspan="1" colspan="1">0.818</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">METTL3-mRNA</td>
              <td rowspan="1" colspan="1">0.152</td>
              <td rowspan="1" colspan="1">1.11</td>
              <td rowspan="1" colspan="1">0.366</td>
              <td rowspan="1" colspan="1">0.82</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">APC-mRNA</td>
              <td rowspan="1" colspan="1">0.669</td>
              <td rowspan="1" colspan="1">1.59</td>
              <td rowspan="1" colspan="1">0.402</td>
              <td rowspan="1" colspan="1">0.822</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp13-mRNA</td>
              <td rowspan="1" colspan="1">0.371</td>
              <td rowspan="1" colspan="1">1.29</td>
              <td rowspan="1" colspan="1">0.407</td>
              <td rowspan="1" colspan="1">0.822</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SQSTM1-mRNA</td>
              <td rowspan="1" colspan="1">0.143</td>
              <td rowspan="1" colspan="1">1.1</td>
              <td rowspan="1" colspan="1">0.411</td>
              <td rowspan="1" colspan="1">0.822</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Ctgf-mRNA</td>
              <td rowspan="1" colspan="1">0.291</td>
              <td rowspan="1" colspan="1">1.22</td>
              <td rowspan="1" colspan="1">0.45</td>
              <td rowspan="1" colspan="1">0.869</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TGFB-mRNA</td>
              <td rowspan="1" colspan="1">0.105</td>
              <td rowspan="1" colspan="1">1.08</td>
              <td rowspan="1" colspan="1">0.486</td>
              <td rowspan="1" colspan="1">0.907</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp9-mRNA</td>
              <td rowspan="1" colspan="1">−0.2</td>
              <td rowspan="1" colspan="1">0.871</td>
              <td rowspan="1" colspan="1">0.557</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PTEN-mRNA</td>
              <td rowspan="1" colspan="1">0.0867</td>
              <td rowspan="1" colspan="1">1.06</td>
              <td rowspan="1" colspan="1">0.565</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CCL3-mRNA</td>
              <td rowspan="1" colspan="1">0.178</td>
              <td rowspan="1" colspan="1">1.13</td>
              <td rowspan="1" colspan="1">0.576</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ZEB1-mRNA</td>
              <td rowspan="1" colspan="1">0.338</td>
              <td rowspan="1" colspan="1">1.26</td>
              <td rowspan="1" colspan="1">0.587</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Il18-mRNA</td>
              <td rowspan="1" colspan="1">−0.258</td>
              <td rowspan="1" colspan="1">0.836</td>
              <td rowspan="1" colspan="1">0.59</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Runx2-mRNA</td>
              <td rowspan="1" colspan="1">0.277</td>
              <td rowspan="1" colspan="1">1.21</td>
              <td rowspan="1" colspan="1">0.592</td>
              <td rowspan="1" colspan="1">0.921</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">WWP2-mRNA</td>
              <td rowspan="1" colspan="1">0.366</td>
              <td rowspan="1" colspan="1">1.29</td>
              <td rowspan="1" colspan="1">0.657</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">MLH1-mRNA</td>
              <td rowspan="1" colspan="1">−0.0723</td>
              <td rowspan="1" colspan="1">0.951</td>
              <td rowspan="1" colspan="1">0.685</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PD-L1-mRNA</td>
              <td rowspan="1" colspan="1">−0.121</td>
              <td rowspan="1" colspan="1">0.92</td>
              <td rowspan="1" colspan="1">0.712</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TRAF6-mRNA</td>
              <td rowspan="1" colspan="1">0.238</td>
              <td rowspan="1" colspan="1">1.18</td>
              <td rowspan="1" colspan="1">0.731</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">STK11-mRNA</td>
              <td rowspan="1" colspan="1">0.227</td>
              <td rowspan="1" colspan="1">1.17</td>
              <td rowspan="1" colspan="1">0.75</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">HIF1A-mRNA</td>
              <td rowspan="1" colspan="1">−0.055</td>
              <td rowspan="1" colspan="1">0.963</td>
              <td rowspan="1" colspan="1">0.751</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">PIK3CA-mRNA</td>
              <td rowspan="1" colspan="1">−0.0632</td>
              <td rowspan="1" colspan="1">0.957</td>
              <td rowspan="1" colspan="1">0.772</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">BRAF-mRNA</td>
              <td rowspan="1" colspan="1">0.175</td>
              <td rowspan="1" colspan="1">1.13</td>
              <td rowspan="1" colspan="1">0.775</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mmp2-mRNA</td>
              <td rowspan="1" colspan="1">−0.131</td>
              <td rowspan="1" colspan="1">0.913</td>
              <td rowspan="1" colspan="1">0.776</td>
              <td rowspan="1" colspan="1">0.966</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">VPS35-mRNA</td>
              <td rowspan="1" colspan="1">0.144</td>
              <td rowspan="1" colspan="1">1.11</td>
              <td rowspan="1" colspan="1">0.802</td>
              <td rowspan="1" colspan="1">0.976</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SRC-mRNA</td>
              <td rowspan="1" colspan="1">0.109</td>
              <td rowspan="1" colspan="1">1.08</td>
              <td rowspan="1" colspan="1">0.863</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">JAG1-mRNA</td>
              <td rowspan="1" colspan="1">0.0467</td>
              <td rowspan="1" colspan="1">1.03</td>
              <td rowspan="1" colspan="1">0.866</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">NRAS-mRNA</td>
              <td rowspan="1" colspan="1">0.0759</td>
              <td rowspan="1" colspan="1">1.05</td>
              <td rowspan="1" colspan="1">0.93</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">DDR1-mRNA</td>
              <td rowspan="1" colspan="1">−0.0158</td>
              <td rowspan="1" colspan="1">0.989</td>
              <td rowspan="1" colspan="1">0.946</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Vegf-mRNA</td>
              <td rowspan="1" colspan="1">0.0167</td>
              <td rowspan="1" colspan="1">1.01</td>
              <td rowspan="1" colspan="1">0.948</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TRIM29-mRNA</td>
              <td rowspan="1" colspan="1">0.0128</td>
              <td rowspan="1" colspan="1">1.01</td>
              <td rowspan="1" colspan="1">0.968</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">FN1-mRNA</td>
              <td rowspan="1" colspan="1">0.0113</td>
              <td rowspan="1" colspan="1">1.01</td>
              <td rowspan="1" colspan="1">0.978</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">S100A14-mRNA</td>
              <td rowspan="1" colspan="1">−0.00808</td>
              <td rowspan="1" colspan="1">0.994</td>
              <td rowspan="1" colspan="1">0.983</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">OPN-mRNA</td>
              <td rowspan="1" colspan="1">−0.0108</td>
              <td rowspan="1" colspan="1">0.993</td>
              <td rowspan="1" colspan="1">0.983</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">RASSF1A-mRNA</td>
              <td rowspan="1" colspan="1">0.0122</td>
              <td rowspan="1" colspan="1">1.01</td>
              <td rowspan="1" colspan="1">0.984</td>
              <td rowspan="1" colspan="1">0.984</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
  </back>
</article>
